Title: How Justice System Involvement Impacts Educational Outcomes in Maryland

Presenter: Erin Tinney, Researcher, MLDS Center Research Branch and Doctoral Candidate, University of Maryland, College Park

Date and Time: Friday April 19 2024 12 pm to 1 pm Eastern

Location: Google Meet joining info Video call link: Click Here Or dial:(US) +1 515-512-9762‬ PIN: ‪984 225 729‬# More phone numbers: https://tel.meet/kmn-tiae-nrc?pin=3548229076255‬

Presentation Abstract: Recent research demonstrates the importance of assessing how justice system involvement can impact educational outcomes. The current study examines this relationship within the 2013 ninth-grade cohort across the state of Maryland. First, propensity score matching is used to compare justice-involved and similarly situated non-justice-involved youth in their likelihood of suspension, graduation, and postsecondary enrollment. Second, this study explores how this relationship may differ between youth based on the number of days of school they miss because of their system involvement. Lastly, this study examines how the impact of justice system involvement on educational outcomes may differ between youth of different racial identities and sexes, including at the intersection of one's race and sex. Sensitivity analyses that assess the nuances of this relationship based on the severity of one's system were also conducted. A discussion will involve John Irvine and Shane Hall from the Office of Research and Evaluation at the Maryland Department of Juvenile Services (DJS) to comment on how this research informs policy and practice.

Presenter Bio: Erin Tinney is a doctoral candidate from the University of Maryland, College Park. She is expected to receive her PhD in Criminology and Criminal Justice Studies this May. Her research interests include labeling and stigma, the consequences of justice system involvement in adolescence, and the intersection of the education and justice systems. Her Master's thesis on stigma by association following a friend's arrest has been published in Criminology, and she has also contributed to Teen Friendship Networks, Development, and Risky Behavior from Oxford University Press.

Title: Computer Science for All? The Impact of High School Computer Science Courses on College Majors and Earnings

Presenters: Dr. Jing Liu, MLDS Research Branch and University of Maryland College Park

Date and Time: Friday February 16, 2024 12 pm to 1 pm Eastern

Presentation Abstract: In response to the growing importance of computing skills in the economy, U.S. states are quickly expanding Computer Science (CS) course offerings in K-12 schools. Using data from the MLDS, this study provides the first causal evidence on the effects of this expansion by estimating impacts on students' college major choice, degree attainment, and early career earnings. The staggered rollout of CS course offerings across high schools is leveraged to reduce selection effects. Results indicate that taking a CS course increases students' likelihood of declaring a CS major by 10 percentage points (pp) and receiving a CS BA degree by 5 pp. Evidence also suggests that CS course exposure raises students' likelihood of being employed and early career earnings. Importantly, female, Black, and low socioeconomics status students experience larger benefits of taking a CS course for CS BA receipt and earnings outcomes. Given their take-up of CS coursework is much lower compared with their peers, improving the representation of historically underrepresented groups in the CS field requires greater effort to reach these students as policymakers continue to expand CS curricula across K-12 schools.

Presenter Bios:Dr. Jing Liu is an MLDS Center research branch member and is an Assistant Professor in Education Policy at the University of Maryland, College Park, and a research affiliate of the IZA Institute of Labor Economics. Named as a National Academy of Education Sciences/Spencer Dissertation Fellow, he earned his Ph.D. in Economics of Education from Stanford University in 2018. His recent research focuses on using language technologies to measure and improve teaching practices across diverse educational settings and informing policymaking on how to prepare students for an AI-driven future. Dr. Liu’s research has appeared in leading peer-reviewed outlets across disciplines, including economics, education, public policy, and computer science.

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Title: Secondary, Postsecondary, and Labor Market Effects of Career and Technical Education in Baltimore City Public Schools

Presenters: Drs. Marc Stein, Rachel Durham, Jay Plasman, and Zyrashae Smith-Onyewu

Date and Time: Friday December 15, 2023 12 pm to 1 pm Eastern

Presentation Abstract: There is a growing body of empirical research into the efficacy of career and technical education (CTE) participation in high school in the United States. However, little of that work can be identified as truly causal, nor has much of this prior work empirically explored the theoretical mechanisms of change linked with CTE participation. This research used a unique selection process into CTE Centers within Baltimore City Public Schools. Students who were offered enrollment in a selective admissions CTE center were compared to students who were offered enrollment in non-selective high schools. The methodological approach -- a fuzzy regression discontinuity design -- is used because students close to either side of the admissions cutoff are likely similar except for the offer of admissions. This is due to CTE programs in these schools being oversubscribed, and therefore, many students who were eligible according to published cut-scores did not receive an admissions offer. Therefore, the results offer causal evidence on the benefits and mechanisms of CTE participation on secondary education, postsecondary enrollment/persistence, and labor market outcomes.

Presenter Bios:

Marc L. Stein. Dr. Stein (PhD, Education Leadership and Policy Studies, Vanderbilt University) is the executive director of The CoLab at Improving Education. The CoLab is an applied research and development collaboratory working on the creation of practical tools and methods to assist organizations conduct educational continuous quality improvement projects. Prior to co-founding The CoLab Marc was the managing director of the Baltimore Education Research Consortium (BERC) and was an associate professor of education policy at Johns Hopkins University. His research has been funded by organizations such as the Institute of Education Sciences, the National Science Foundation, the Spencer Foundation, the Abell Foundation and the Annie E. Casey Foundation and has appeared in journals such as Educational Researcher, the American Education Research Journal, Educational Evaluation and Policy Analysis, the American Journal of Education and Urban Education.

Rachel E. Durham. Dr. Durham (PhD, Sociology and Demography, Pennsylvania State University) is an Associate Professor in the School of Education at Notre Dame of Maryland University, and a Senior Fellow with the Baltimore Education Research Consortium (BERC). With a background in sociology of education, education policy, and demography, her research focuses on graduates’ transition to adulthood, career and college readiness, community schools, and research-practice partnerships.

Jay Plasman. Dr. Plasman (PhD, Education Policy, Leadership, and Methodology, University of California Santa Barbara) is an Assistant Professor in Workforce Development and Education program housed in the College of Education and Human Ecology’s Department of Educational Studies at The Ohio State University. Dr. Plasman serves as an associate editor for the International Journal of Training and Development. His research focuses broadly on education policy as it relates to promoting college and career readiness through career and technical education. His work in CTE examines both traditional outcomes such as high school completion, postsecondary education participation, and labor market benefits as well as non-traditional benefits of career and technical education, including: 21st Century skill development, engagement, and criminal behavior. Dr. Plasman’s work has appeared in well-respected journals such as Educational Researcher, American Educational Research Journal, and Teachers College Record.

Zyrashae Smith-Onyewu. Dr. Smith-Onyewu (PhD, Education, Johns Hopkins University) is a postdoctoral researcher at the University of Florida College of Education. Her research focuses on examining college access for minoritized and low-income students. She holds a PhD and MEd from the Johns Hopkins University School of Education and a B.S. in Psychology from Morgan State University.

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Title: The Effects of High School Non-Promotion on High School Graduation, College, and Career Outcomes

Presenter: Dr. Taylor Delaney, University of Oklahoma and MLDS Center Research Staff.

Date and Time: Friday November 17, 2023 12 pm to 1 pm Eastern

Presentation Abstract: Non-promotion is a common practice across the United States. However, few studies examine the impact of non-promotion in high school on student outcomes. This project uses data from the MLDS to examine descriptive patterns in grade promotion versus non-promotion over time and by student subgroups. Second, this project investigates how non-promotion impacts students’ likelihood of high school graduation and postsecondary outcomes, including college enrollment, remedial coursework enrollment, and persistence. Finally, this project examines how non-promotion impacts students’ early career annual wages and wage visibility. The researcher will discuss implications for policy related to non-promotion in high school.

Presenter Bios:

Taylor Delaney is an Assistant Professor in the Department of Political Science at the University of Oklahoma. She received her Ph.D. in Public Policy and Administration from American University. Her research focuses on student pathways from high school to college and Bachelor’s degree attainment.

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Title: Entry and Exit of Baltimore City Teachers Before and After COVID

Presenters: Dr. Jane Lincove is an Investigator with the MLDS Center and is Professor of Public Policy at UMBC.

Date and Time: Friday October 20, 2023 12 pm to 1 pm Eastern

Presentation Abstract: In this study, MLDS data were used to investigate whether Baltimore City Schools experienced changes in teacher supply during COVID. Through descriptive evidence on teacher entry and exit from 2016 to 2022, this study examines:

1. 1.Whether exit rates for City Schools changed relative to pre-COVID rates and relative to other Maryland LEAs;
2. 2.Whether teacher demographics changed as a result of changing entry and exit patterns;
3. 3.Whether undergraduate institutions preparing teachers in the teacher pipeline changed over time; and
4. 4.How teacher certification at entry changed over time.

Presenter Bios:

Dr. Jane Lincove is an Investigator with the MLDS Center and is Professor of Public Policy at UMBC. She is also a Research Fellow at the Education Research Alliance for New Orleans at Tulane University. Her research focuses on the implementation and effects of market-based policy in public education, with a particular interest in the equity effects on low-income families, minorities, and girls. Dr. Lincove earned her Ph.D. in Public Policy from the University of Southern California.

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Title: Using Machine Learning to Predict PARCC Algebra I scores

Presenters: Dr. Tracy Sweet, Ms. Brennan Register, Ms. Ashani Jayasekera, MLDS Research Branch and University of Maryland College Park

Date and Time: Friday May 19, 2023 12 pm to 1 pm Eastern

Presentation Abstract: Machine learning is a useful tool for data prediction and has been used in a variety of disciplines, including education. This project examined the extent to which machine learning algorithms could be used with MLDS data through an exploratory study to predict high stakes assessment scores in Algebra. Second, this project examined whether these scores could be used as predictors in future analyses predicting college enrollment. Finally, this project examined the extent to which scores were equitably predicted across various subgroups. A discussion will focus on the strengths and limitations of applying machine learning algorithms to predict test scores.

Speaker Bios:

Tracy Sweet is an Associate Professor in the Quantitative Methodology: Measurement and Statistics program in the Department of Human Development and Quantitative Methodology at the University of Maryland College Park. She is also the Associate Director of Research for MLDS Center Research branch. Her research focuses on various data science methods such as machine learning and network analysis as well as equity in quantitative methods.

Brennan Register is a fourth year PhD student in the Quantitative Methodology: Measurement and Statistics program at The University of Maryland, College Park. She joined the University of Maryland after obtaining a Masters in Statistics from the University of Pittsburgh. Her research focuses on investigating the performance of multilevel and standard prediction algorithms on large-scale educational datasets. She has been working with the MLDS research group since the fall of 2019.

Ashani Jayasekera is a first year doctoral student in the Quantitative Methodology: Measurement and Statistics program at the University of Maryland College Park. She earned a MS in Measurement, Statistics & Evaluation from the University of Maryland College Park and a BS in Mathematics from the University of Maryland Baltimore County. Her research interests are in machine learning, natural language processing, the analysis of complex data structures, as well as multilevel modeling. Recent research projects include work on the utilization of propensity scores to provide measures of school quality, the impacts of missing data on social network models, and the evaluation of machine learning-aided tools for the systematic review process.

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Title: Intervening to Improve Equity in the STEM Pipeline: Research from Morgan State University*

*These studies do not use MLDS data

Presenters: Dr. Shondricka Burrell and Dr. Frim Ampaw, School of Education and Urban Studies, Morgan State University

Date and Time: Friday April 21, 2023; 12 pm - 1 pm Eastern

Presentation Abstract: This presentation will feature two speakers from the Morgan State University School of Education and Urban Studies. Students in poor and minoritized communities and women continue to be underrepresented in science, technology, engineering, and math (STEM) pathways from K-12 education into the workforce. The two speakers will discuss research that evaluates interventions to help with the underrepresentation of these student subgroups in STEM. First, Dr. Shondricka Burrell will present her research on the efficacy of a pedagogical model of transformative science learning to promote understanding of environmental injustice in poor and minoritized communities. Second, Dr. Frim Ampaw will present her research on the effect of an indoor agricultural program in urban middle schools on middle school girls’ science achievement. Both speakers will present implications for improving upon inequities in the STEM pipeline.

Speaker Bios:

Dr. Shondricka Burrell is an assistant professor in science education in the Department of Advanced Studies, Leadership & Policy in the School of Education and Urban Studies, at Morgan State University. She is a socio-cognitive researcher applying both quantitative and qualitative analytical methods to the study of science learning. With advanced degrees in geology and curriculum and instruction, her research is transdisciplinary motivated by concerns of persistent inequities in access and quality of science learning experiences for students from marginalized and minoritized demographic groups. Dr. Burrell’s research agenda includes: transformative learning experiences, science interest development, geoscience education, and geoscience for justice. Dr. Burrell is committed to developing equitable and justice-oriented science learning experiences.

Dr. Frim Ampaw is the Chair of the Department of Advanced Studies, Leadership, and Policy at Morgan State University, where her area of focus is higher education administration. Her research area focuses on understanding the experiences of students from low socioeconomic backgrounds and underrepresented minorities in transitioning to college, during college, and in the labor market. Dr. Ampaw is a quantitative methodologist who has conducted extensive research on women and minorities in STEM education to understand their selection and persistence within the major. Prior to her appointment at Morgan State University, she was a professor of higher education at Central Michigan University and the director of the Center for Applied Research Studies.

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Title: The Effects of a Statewide Ban on School Suspensions in Early Primary Grades

Presenters: Dr. Jane Arnold Lincove, Professor of Public Policy, University of Maryland Baltimore County

Co-Authors: Catherine Mata and Kalena Cortes

Date and Time: Friday, March 17, 2023; 12 pm - 1 pm Eastern

*This project does not use MLDS data but can inform future MLDS research.

Presentation Abstract: Beginning in the fall of 2017, the State of Maryland banned the use of out-of-school suspensions for grades PreK-2. Students in PreK-2 can only be suspended if they pose an “imminent threat” to staff or students, while students in other grades can still be suspended for lesser infractions (COMAR 13A.08.01.11 C). In collaboration with MSDE, this research used the implementation of Maryland’s suspension ban to test whether a top-down state-initiated ban on suspensions in early primary can influence school behavior regarding school discipline. The research questions were:

1. 1. What was the effect of the ban on discipline outcomes for students in grades with and without the ban?
2. 2. Did schools bypass the ban by coding more events as threatening or increasing the use of in-school suspensions?
3. 3. Are there differential effects for students in groups that are historically suspended more often?, and
4. 4. Did the ban have negative or positive effects on student attendance and academic outcomes?

Speaker Bio: Jane Arnold Lincove is a Professor of Public Policy at the University of Maryland, Baltimore County and Research Staff at the MLDS Center. She holds a Ph.D. in Public Administration from the University of Southern California and a Masters in Public Policy from UCLA. Her research examines the design and effects of market-based education reforms in the US and developing countries. Current research interests include hiring and compensation policies in charter schools, school choice, and the effects of school discipline policies on students. Research affiliations include the Baltimore Education Research Consortium, the IES-funding National Center for Research on Education Access and Choice (REACH), the Maryland Longitudinal Data System Center, and Education Policy Innovation Collaborative (EPIC) at Michigan State University

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Date and Time: Friday February 17, 2023; 12 pm - 1 pm Eastern

Presenters: Dr. Andrew Brantlinger, University of Maryland and Dr. Ashley Grant, Johns Hopkins University

Topic: The Career Trajectories and Retention of Urban Mathematics Teachers from a Nationally-Prominent Alternative Certification Program in New York*

*This project does not use MLDS data but can inform future MLDS research.

Presentation Abstract: Many U.S. school districts have long faced and continue to face shortages of teachers in core subjects like mathematics (Sutcher, Darling-Hammond, & Carver-Thomas, 2016; Steiner & Woo, 2021). By attracting high-achieving college graduates and professional career changers, selective alternative certification programs like the New York City Teaching Fellows (NYCTF) have promised and continue to promise to address these shortages. The presenters will begin with a brief overview of a longitudinal, mixed methods research project examining the preparation, performance, and career trajectories of mathematics teachers trained in the NYCTF. The presenters will then focus on research on the long-term retention and career trajectories of NYCTF teachers generally and also for specific teacher subgroups (e.g., career changers, Black and Latinx community insiders). Finally, the researchers will share results from an event history analysis examining how teachers' leaving patterns varied over the observed time (9 years) and was predicted by school demographics and school climate. Implications for research and policy in Maryland will be discussed.

Presenter Bios:
Andrew Brantlinger is an associate professor in the department of Teaching and Learning, Policy and Leadership at the University of Maryland. His research interests pertain to mathematics teacher recruitment and preparation to teach in urban and other diverse school settings. Recent publications appear in the Journal of Research in Mathematics Education, Urban Education, and Education Policy Analysis Archives.

Ashley A. Grant is a Senior Researcher in the Center for Research and Reform in Education at Johns Hopkins University. Her research interests focus on teacher retention, creating more positive school environments, and restorative justice practices. Her recent publications appear in Journal of Research on Educational Effectiveness, Educational Policy, and Teachers College Record.

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Date and Time: Friday November 18, 2022; 12 pm - 1 pm Eastern

Presenters: Dr. Marcia Davis and Dr. Martha MacIver (Johns Hopkins University)

Topic: Overview and Evaluation of an Early Warning Indicator and Intervention System to Keep Ninth-Grade Students On-Track to High School Graduation in Alabama*

*This project does not use MLDS data but can inform future MLDS research.

Presentation Abstract: For the last fifteen years the Center for Social Organization of Schools (CSOS) has worked with schools and LEAs that serve high poverty student populations to design and implement early warning and intervention systems (EWS) to increase high school graduation rates and post-secondary success. In this presentation CSOS faculty will review process and outcome evaluation findings from an Institute of Education Sciences funded study on EWS effectiveness. First, Dr. Marcia Davis will present data on the implementation of the EWS and associations between implementation and ninth grade student outcomes. Second, Dr. Martha Mac Iver will present an efficacy study of the EWS on ninth-grade student outcomes. Results from these studies show that higher levels of implementation of early warning and intervention components in the treatment schools were associated with improved levels of ninth-grade student achievement and attendance outcomes and students in the EWS treatment schools were significantly less likely than control school students to be chronically absent. A discussion will focus on the policy implications of this research and the importance of longitudinal data systems for linking early warning indicators to outcomes.

Presenter Bios: Marcia Davis, PhD, is a director of CSOS and an associate professor in the School of Education at Johns Hopkins University. Dr. Davis has been an investigator on six federally funded grants and a lead evaluator for organizations such as the Weinberg Foundation and the United Way of Central Maryland. She has an MA in measurement, statistics, and evaluation and a PhD in educational psychology, both from the University of Maryland, and teaches courses in mixed methodology and evaluation in the educational doctoral program in the School of Education at Johns Hopkins. She has conducted research on a range of topics that include supporting struggling adolescent readers, measurement of adolescent reading motivation, and the use of early warning indicators and systems for dropout prevention.

Martha Abele MacIver, PhD, an Associate Research Professor at CSOS at the Johns Hopkins University School of Education. She has more than a decade of experience in conducting research on early warning indicators, including longitudinal student cohort studies linking high school indicators to college enrollment outcomes. She was PI for two recently completed IES grants: Equipping High School Teachers to Increase Student Motivation and Course Passing Rates (R305A150449) and Continuous Improvement in Schools Equipping Families to Support Students in the Transition to High School (R305H150081), both of which focused on interventions to improve 9th grade outcomes. She has extensive experience in conducting both quantitative and qualitative studies and has also worked with many districts on analytics/intervention projects related to early warning indicators.

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Date and Time: Friday October 21, 2022; 12 pm - 1 pm Eastern

Presenters: Dr. Dante De Tablan, MLDS Research Branch and University of Maryland School of Social Work

Topic: A Multilevel Study of Student and School Characteristics Related to School Transfer, High School Graduation, and College Enrollment

Presentation Abstract: Students transferring between schools is a frequent occurrence in the United States and is associated with future educational outcomes. However, research linking student transfer during high school to postsecondary outcomes is scarce. This study used data from the MLDS to investigate transfer risk among a cohort of 6,810 first-time ninth grade students in Baltimore City Public Schools from 2012-13 to 2017-18. Additionally, this study examined student and school characteristics associated with four-year high school graduation and college enrollment. The findings revealed student- and school-level characteristics associated with lower and higher risks for transferring schools in high school. In addition, critical student and school factors related to the odds of high school graduation and college enrollment. A discussion will focus on the research, policy, and practice implications stemming from this study. Upstream and downstream interventions will be addressed, including the Full-Service Community Schools strategy, a vital component of the Blueprint for Maryland's Future.

Presenter Bios: Dr. Dante de Tablan is a member of the research branch of the MLDS Center, an affiliate with the University of Maryland School of Social Work, and a data consultant with the Boston Community Hub Schools. His research focuses on youth coping, agency and wellbeing, multilevel student mobility, and Full-Service Community Schools strategy, measurement, and evaluation. He holds a Ph.D. in social work from the University of Maryland School of Social Work.

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Date and Time: Friday September 16, 2022; 12 pm - 1 pm Eastern

Presenters: Dr. Ken Elpus, Mr. David Miller, MLDS Research Branch and University of Maryland College Park

Topic: Public High School Music Education in Maryland: Exploring Equity and Postsecondary Outcomes

Presentation Abstract: Under Maryland regulations (COMAR 13A.04.16.01), each local school system is required to provide a quality music/arts education that prepares students for post-secondary education and careers. In this project, we used MLDS data to conduct two studies examining the student, teacher, and school characteristics associated with public high school music education in Maryland and the postsecondary outcomes for music students. First, we explored the demographic composition of music students and music teachers, comparing their characteristics to non-music students and teachers and comparing postsecondary attendance between music students and non-music students. Second, we leveraged the elective nature of Arts courses in the highly prescriptive International Baccalaureate Diploma Program (IBDP) to compare (through a propensity score model) post secondary admissions outcomes for IBDP students who did and did not elect arts education. This research was part of an Institute of Education Sciences funded grant project exploring the relations between rigorous, high quality arts education in high school and the successful transition to postsecondary schooling. Policy implications for music/arts education and the post-secondary transition in Maryland will be discussed.

Presenter Bios: Dr. Kenneth Elpus is Professor of Music Education and Associate Director of the University of Maryland School of Music. He is principal investigator of the Music & Arts Education Data Lab, the University of Maryland’s National Endowment for the Arts Research Lab. He researches issues related to music and arts education and public policy, the demographics of music students and music teachers, and the social and academic outcomes of arts education for K-12 students. His teaching responsibilities include preparing preservice music educators to teach choral music in the public schools and teaching graduate research methods.

Mr. David Miller is a graduate teaching assistant and Ph.D. candidate at the University of Maryland College Park and is a graduate research assistant with the MLDS Center. His research interests include equity in music/arts education and evaluation of education policy.

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Date: May 5, 2022 12:30pm - 1:30 pm

Presenters: Dr. Tracy Sweet, Ms. Brennan Register, and Mr. Patrick Sheehan, MLDS Research Branch and University of Maryland College Park

Topic: Applications of Data Science Methods to MLDS Data

Presentation Abstract: Data science methods are increasingly being applied to understand educational outcomes for K-12 and college-aged students. This presentation will introduce several data science algorithms and discuss how they can be used to inform MLDS research. For example, standardized test scores are a key predictor of college and career readiness, but researchers are grappling with the problem of missing test scores because standardized tests were not administered in 2020 or 2021 during the COVID-19 pandemic. As a result, MLDS researchers will not be able to use test scores from these two years in models to predict postsecondary and workforce outcomes (e.g. college enrollment, degree attainment, wages). Data science methods can be applied to predict standardized test scores with the primary goal of examining the effects of these predicted scores on postsecondary outcomes (e.g. are these scores as predictive as actual test scores for predicting college enrollment, degree attainment, and wages)? Future directions for use of these algorithms will be discussed, including their potential limitations with nested data structures and predictions for specific student subgroups (e.g., English Language Learners, students who are eligible for free/reduced price meals). Additional future applications of data science methods to evaluate educational policies in Maryland will also be discussed.

Presenter Bios: Dr. Tracy Sweet is Associate Director of Research with the MLDS Center and is Assistant Professor in the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland. Her research focuses on statistical social network models with particular focus on the types of multilevel network models needed for education data. She holds a Ph.D. in statistics from Carnegie Mellon University.

Ms. Brennan Register is a Research Assistant with the MLDS Center and a third year PhD student in the Measurement, Statistics and Evaluation program in the College of Education. She joined the University of Maryland after obtaining a Masters in Statistics from the University of Pittsburgh. Under the supervision of her advisor Dr. Sweet, Brennan has been working with the MLDS research group since the fall of 2019.

Mr. Patrick Sheehan Is a Research Assistant with the MLDS Center and a PhD student in the Measurement, Statistics, and Evaluation program at the University of Maryland since 2020, where he also earned his MA. His research focuses on causal inference, causal graphs, and the design and evaluation of replication studies. He has been working with the MLDS Center since the spring of 2021.

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Date: April 7, 2022 12:30pm - 1:30 pm

Presenters: Dr. Omari Jackson, Associate Director of Research, MLDS Center and Dr. Rhonda Baylor, Investigator with the MLDS Center

Topic: Morgan State University Research Branch Partners - Research Interests and Future Directions

Presentation Abstract: Drs. Omari Jackson and Rhonda Baylor are faculty members and researchers at the School of Education and Urban Studies at Morgan State University. As new members of the MLDS Center Research Branch, they will discuss their current research and how that research will inform their work with Center data.

Dr. Omari Jackson will discuss his past research entitled: “A Generation Out of Apartheid: Intergenerational Educational Experiences among the South African Black Middle Class.” South African Apartheid restricted social and economic mobility among blacks. With the abolition of Apartheid, in 1994, a black middle class was actualized. This project offers insight into the role Apartheid played in parents’ mobility. Furthermore, it explains how parents’ upward mobility impacts the lives of their children. Ultimately, children have broader aspirations than their parents. However, despite progress, the black middle class continues to face barriers. This presentation will also cover similarities and differences between the South African and U.S. black middle classes, and will highlight potential directions for future research with MLDS data.

Dr. Rhonda Baylor will discuss her research entitled: “Geographic Information System (GIS) Research with Open Baltimore.” This presentation will demonstrate how to conduct geographic information system (GIS) research using Open Baltimore, a repository of datasets published by the city to enhance transparency. More specifically, Dr. Baylor will demonstrate how to build GIS maps and how to interpret those GIS maps using various Baltimore City education datasets that are included in the system and will highlight potential directions for future research using GIS with MLDS data.

Presenter Bios: Dr. Omari Jackson, Associate Director of Research for the MLDS Center, is an Associate Professor of Urban Educational Leadership. He holds a bachelor’s degree in sociology from The University of Michigan, a master’s degree in sociology from Wayne State University, and a doctoral degree in sociology from Wayne State University. Omari has more than 15 years of experience in higher education, as a pre-college advisor, learning specialist, instructional coach, and faculty member. He has completed post-doctoral fellowships in policy research and analysis (Pardee RAND Graduate School) as well as evaluation (American Evaluation Association). His research interests include recruitment, retention, and post-secondary success of underrepresented students.

Dr. Rhonda Erica Baylor, Investigator with the MLDS Center, is an educational psychologist and is an assistant professor at Morgan State University. She has over 15 years of collegiate teaching and education research experience. Dr. Baylor’s research focuses on teaching and learning in higher education with a particular focus on the professoriate. In addition, she has written about racism and the educational experiences of Black students. Dr. Baylor has several publications, along with various book chapters. Dr. Baylor conducts both quantitative and qualitative research that contributes to the higher education paradigm. Additionally, she works on the editorial board for The Journal of Negro Education. She has a Ph.D. in educational psychology from Howard University, an Ed.M. in higher education from Harvard University, an M.B.A. from the University of Baltimore, and a B.S. in business administration from Morgan State University. Lastly, Dr. Baylor is a native of Baltimore, Maryland.

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Date: March 3, 2022 12:30pm - 1:30 pm

Presenters: David Blazar & Francisco Lagos, MLDS Center and University of Maryland College Park

Topic: Teacher and Peer Characteristics in Maryland Public Schools: Changes Over Time and Links to College and Career Outcomes

Presentation Abstract: This presentation examines changes in teacher and student characteristics in Maryland over the last decade, implications of these changes for the measurement of teacher and student/peer characteristics, and links to longitudinal student outcomes. The presentation includes two related analyses: one focused on teachers and the other on students/peers. For teachers, we examine shifts in the Maryland teacher labor force since the Great Recession, focusing in particular on career and technical education teachers (CTE) whose industry experience may make them more likely to be susceptible to alternative labor market options. We also examine who teaches CTE classes, finding that teachers without specific CTE credentials often take on this role. For students, we examine how within-school changes in student demographics and peer diversity over time relate to changes in short- and long-term outcomes, including college and career outcomes, as well as how these relationships change depending on the operationalization of peer characteristics and diversity. Preliminary results show that discrete changes in school diversity (rather than linear increments of diversity or concentration of same race/ethnicity peers) are associated with college and career benefits for students.

Presenter Bios: Dr. David Blazar is an Assistant Professor in Education Policy and Leadership at the University of Maryland College Park, and a member of the MLDS Center research branch. His research focuses on teacher and teaching quality, and teacher labor markets. Mr. Francisco Lagos is a graduate research assistant with the MLDS Center and a Ph.D. candidate at the University of Maryland College Park studying the determinants and consequences of school-based segregation amongst students and school staff.

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Date: November 4, 2021; 12:30-1:30

Presenters: Mathew C. Uretsky¹ & Angela K. Henneberger², MLDS Center

1) Portland State University
2) University of Maryland School of Social Work

Topic: Expanding the Understanding of High School Non-Graduates Through a Comparison of High School Dropouts and Persisters in Maryland

Presentation Abstract: Most research and policy efforts related to high school non-graduates are focused on preventing or recovering dropouts, but recent studies have identified a second group of non-graduates—persisters—who continue their enrollment into and through their fourth year of high school without earning a diploma. This study used statewide linked-administrative education and workforce data from the Maryland Longitudinal Data System (MLDS) to examine the differences in demographic and academic characteristics between persisters and dropouts. Postsecondary and workforce outcomes are also compared. A discussion will focus on future directions for research and implications for policy in Maryland.

Presenter Bios: Dr. Mathew C. Uretsky is an investigator with the MLDS Center and received his Ph.D. from the University of Maryland School of Social Work in 2016. He is a faculty affiliate at the University of Maryland School of Social Work and is an Assistant Professor at Portland State University. He has nearly a decade of experience as a social work practitioner and researcher working with schools, families, and community organizations to improve outcomes in underserved communities in the U.S. and internationally. Most recently his work has focused on building the capacity of state agencies to use administrative data for policy and program development. His research interests include the development and evaluation of interventions to support positive youth development. More specifically, his work examines the risk and protective factors that impact the academic and behavioral development of children and youth, with a focus on how the school and family environment influence student outcomes.

Dr. Angela K. Henneberger, is Principal Investigator and Director of Research of the MLDS Center research contract. She is a Research Assistant Professor at the University of Maryland School of Social Work. Dr. Henneberger’s research applies advanced quantitative methods to examine the academic, social, emotional, and behavioral development of children and adolescents, with a specific focus on at-risk students. Dr. Henneberger received her Ph.D. from the University of Virginia, where she was awarded an Institute of Education Sciences (IES) predoctoral fellowship. She completed a postdoctoral fellowship at the Pennsylvania State University in the Prevention and Methodology Training (PAMT) program. Her research has won awards from the Society for Prevention Research and the American Educational Research Association.

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Date: October 7, 2021; 12:30-1:30

Presenters: Dr. Angela K. Henneberger, Research Director, MLDS Center

Topic: The Effect of a Dual Enrollment Tuition Subsidy for Students Eligible for Free/Reduced Price Meals: Evidence from CCR-CCA in Maryland

Presentation Abstract: The College and Career Readiness and College Completion Act (CCR-CCA) of 2013 (Chapter 533, Senate Bill 740, 2013) passed the Maryland General Assembly in 2013 with the goal of improving college and career outcomes for Maryland students. One policy included in the legislation was a tuition cost reduction for select high school students who dually enroll in college courses. This study used data from the Maryland Longitudinal Data System (MLDS) to examine the effect of the cost reduction in tuition for dual enrollment on dual enrollment uptake, with a particular focus on low-income students who were eligible for free/reduced-price meals (FARMS), as these students are under-represented in the dual enrollment population in Maryland. A difference-in-differences (DD) approach was used and, overall, dual enrollment increased over this period for all subgroups of students. Among students who were likely eligible for dual enrollment (i.e., students who graduated with a 3.0 or higher GPA), FARMS-eligible students, who saw larger tuition decreases after CCR-CCA, had larger increases in the rates of any dual enrollment (11th or 12th grades) and dual enrollment in 11th grade. Policy implications and directions for future research will be discussed.

Presenter Bios: Dr. Angela K. Henneberger is Principal Investigator and Director of Research of the MLDS Center research contract. She is a Research Assistant Professor at the University of Maryland School of Social Work. Dr. Henneberger’s research applies advanced quantitative methods to examine the academic, social, emotional, and behavioral development of children and adolescents, with a specific focus on at-risk students. Dr. Henneberger received her Ph.D. from the University of Virginia, where she was awarded an Institute of Education Sciences (IES) predoctoral fellowship. She completed a postdoctoral fellowship at the Pennsylvania State University in the Prevention and Methodology Training (PAMT) program. Her research has won awards from the Society for Prevention Research and the American Educational Research Association.

Presentation Link

Date: June 24, 2021; 12:30-1:30

Presenters: Dr. Nolan Pope, MLDS Center and UMCP

Topic: The Value of a Higher ACT Exam Score

Presentation Abstract: Entrance exams are an integral aspect of the college admissions process. We exploit discontinuities in ACT exam scores to identify the causal effect of being rounded up to a higher score. Using data for over 3 million test takers, we estimate that “randomly” receiving one extra point on the ACT leads to a 1.17 percentage point increase in the probability of attending a 4-year college. Our results have implications for understanding the importance of entrance exams in the admissions process, the value of test preparation and retaking, and the inequities that can be created by unequal access to test prep resources. A discussion will focus on implications for MLDS research using data on ACT scores and scores from other college admissions exams.

Presenter Bios:

Dr. Nolan Pope is an Investigator with the MLDS Center and is an Assistant Professor in the Department of Economics at the University of Maryland. Dr. Pope is a labor economist and applied microeconomist who specializes in public policy that improves individuals’ labor market and educational outcomes. His recent research focuses on how measuring and rating teacher quality affects both students and teachers, and how public policies influence underprivileged groups such as immigrants and low-income populations. He holds a Ph.D. in Economics from the University of Chicago, and a B.A. in Economics from Brigham Young University.

Presentation Link

Date: Thursday, April 1, 2021 12:30-1:30 PM

Presenters: David Blazar (MLDS Research Branch and UMCP) and Francisco Lagos (MLDS Center Graduate Research Assistant and UMCP)

Topic: Professional Staff Diversity and Student Outcomes: Extending Our Understanding of Race/Ethnicity-Matching in Education

Presentation Abstract: A large body of research shows that access to same-race/ethnicity teachers have substantively meaningful impacts on students’ test score performance, suspensions and expulsions, absences, and longer-run outcomes in college. Theory suggests that a primary lever for these effects is role modeling, meaning that students of color benefit from seeing individuals like them in positions of power, particularly those who exemplify academic success. If role modeling is a main mechanism through which effects of same-race/ethnicity teachers occur, then we would expect to see similar effects from other role models in the school, including administrators, nurses and health professionals, guidance counselors, and other teachers that students do not work with directly. The current study tests this hypothesis using linked, longitudinal data from the Maryland Longitudinal Data System. To account for non-random sorting of students to schools and to teachers, we specify models that include student, school, year, and principal fixed effects. The findings from this study show benefits of access to same-race/ethnicity teachers and professional staff to student outcomes, and results differ by student race/ethnicity. Overall, the findings provide justification for the role modeling hypothesis, and point to a need to hire and support diverse school-based staff, not just amongst teachers, but also amongst professionals who contribute to student success.

Presenter Bios:

David Blazar is an Investigator with the MLDS Center research branch and an Assistant Professor at the University of Maryland College Park. His research primarily focuses on issues related to teacher and teaching quality, including the measurement of these constructs and benefits of students.

Francisco Lagos is a graduate research assistant with the MLDS Center and an advanced PhD student at the University of Maryland College Park studying the determinants and consequences of school-based segregation amongst students and school staff.

Presentation Link

Date: Thursday, March 4, 2021 12:30-1:30 PM

Presenters: Jane Arnold Lincove (MLDS Research Branch and UMBC), Catherine Mata (MLDS Center Graduate Research Assistant and UMBC), and Kalena Cortes (Texas A&M University)

Topic: A Bridge to Graduation: Post-Secondary Outcomes for Students Who Fail Maryland's High School Exit Exams

Presentation Abstract: High school exit exams are meant to improve and standardize the quality of public high schools and to ensure that students graduate with a set of basic skills and knowledge. Evidence suggests that a common negative effect of exams is increased dropout of students who have difficulty passing tests, with a disproportionately large effect on students of color. To mitigate this, while also maintaining a high standard for high school achievement, several states have implemented alternative pathways to graduation where students can show evidence of achievement through measures other than a test. At the request of the Maryland State Department of Education, this study investigated the effects of Maryland’s alternative graduation policy known as Bridge. The Bridge program allows students who have failed an exit after two or more attempts to graduate through district-supervised projects, portfolios, and other evidence of mastery of the curricula. Depending on the rigor of requirements, these students might graduate with equivalent human capital to students who pass exams, or they might lack skills and knowledge needed for future success. This study used data from the MLDS to estimate college and workforce outcomes for four high school cohorts that were required to take exit exams in algebra, biology, and English. Those who failed twice could opt to retest or to pass via Bridge. Because those who are eligible for Bridge are likely at an academic disadvantage in other ways, the analysis used fixed effects and propensity score matching to compare similar students. A discussion will focus on implications for policy and practice in Maryland.

Presenter Bios:

Jane Arnold Lincove is an Investigator with the MLDS Center and is an Associate Professor of Public Policy at UMBC and a research affiliate of the National Center for Research on Education Access and Choice. Her work focuses on market-based school reform, teacher labor markets, and equitable access to higher ed.

Catherine Mata is a doctoral research assistant with the MLDS Center and a student in Public Policy at UMBC with expertise in economics of education, economic development, and labor markets.

Kalena Cortes is an Associate Professor in the Bush School of Public Service and Administration at Texas A&M University, an associate of the National Bureau of Economic Research (NBER), and a research fellow at the Institute for the Study of Labor (IZA). Her research in economics of education focuses on equity and access in college admissions policies, educational interventions in urban settings, and opportunities for immigrant students.

Presentation Link

Date: Thursday, February 4, 2021 12:30-1:30 PM

Presenters: F. Chris Curran, PhD, Director of the Education Policy Research Center at the University of Florida

Topic: The Expanding Presence of Law Enforcement in Florida Schools*

*This project does not use MLDS data, but can inform future MLDS research.

Presentation Abstract: The presence of law enforcement in public schools has been a common security practice in the state of Florida for several decades. Following the tragic 2018 school shooting in Parkland, FL, the state passed a law requiring all public schools to either have law enforcement or other armed personnel present. Drawing on statewide data for the school years 2014-15 through 2018-19, this report examined the relationship between law enforcement in schools and a number of outcomes including reports of behavioral incidents to the state, incidents reported to law enforcement, school arrests, and exclusionary discipline. This analysis used statistical techniques that controlled for both observable characteristics of districts and schools as well as unobserved characteristics that were fixed over time. Findings suggest that the 2018 Marjory Stoneman Douglas High School Public Safety Act significantly increased the presence of law enforcement in schools, particularly in elementary schools. The presence of law enforcement in schools was related to increases in the number of behavioral incidents reported to the state, the number of such incidents reported to law enforcement, and student arrests. The results suggest a need to reconsider whether law enforcement should be present in schools, and, if they are, how they can be implemented in a way that minimizes unnecessary exposure of students to law enforcement and arrests.

Presenter Bios:

F. Chris Curran, PhD, is an Associate Professor of Educational Leadership and Policy and Director of the Education Policy Research Center at the University of Florida. His research focuses on improving equity in education, with a particular emphasis on school discipline and safety as well as early childhood education. His work has appeared in outlets including Educational Researcher, Educational Evaluation and Policy Analysis, Law and Society Review, and Social Problems. His public scholarship is regularly published in The Conversation, and his research has been featured in outlets including NPR and The Atlantic. Dr. Curran completed his PhD at Vanderbilt University and was previously an Assistant Professor of Public Policy at the UMBC School of Public policy. Prior graduate school, he was a middle school teacher. More on Dr. Curran can be found at www.fchriscurran.com

Presentation Link

Date: Thursday, December 3, 2020 12:30-1:30 PM

Presenters: Dr. Jing Liu, Assistant Professor, University of Maryland College Park

Topic: Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement* *This project does not use MLDS data, but can inform future MLDS research.

Presentation Abstract: As the COVID-19 pandemic upended the 2019–2020 school year, education systems scrambled to meet the needs of students and families with little available data on how school closures may impact learning. This study used national data and produced a series of projections of COVID-19-related learning loss based on (a) estimates from absenteeism literature and (b) analyses of summer learning patterns of 5 million students. Based on the projections, returning students are expected to start fall 2020 with approximately 63 to 68% of the learning gains in reading and 37 to 50% of the learning gains in mathematics relative to a typical school year. However, losing ground during the school closures was not universal, with the top third of students potentially making gains in reading. Implications for cross sector research on the impacts of COVID-19 will be discussed.

Presenter Bios:

Dr. Jing Liu is an Assistant Professor in Education Policy at the University of Maryland College Park. Named as a National Academy of Education Sciences/Spencer Dissertation Fellow, he earned his Ph.D. in Economics of Education from Stanford University in 2018. Before he joined UMD, he was a Postdoctoral Research Associate at Brown University’s Annenberg Institute. Dr. Liu's research uses rigorous quantitative evidence to evaluate and inform education policies at the national, state, and local levels, with the goal of improving learning opportunities for historically marginalized students in urban areas. His work broadly engages with critical policy issues including student absenteeism, exclusionary discipline, educator’s labor market, school reform, and higher education. Grounded in economic theory and policy analysis, he uses both quasi-experimental designs and data science methods such as computational linguistic analysis to analyze large administrative data and unstructured information. Most of his current projects focus on understanding the development of student engagement, behavior, and social emotional skills, how these skills and dispositions contribute to student success in the short and long run, and what the implications are for improving equal educational opportunities. His work has appeared in peer-reviewed journals such as the Journal of Human Resources, Journal of Policy Analysis and Management, Educational Evaluation and Policy Analysis, and Economics of Education Review.

Presentation Link

Date: Thursday, November 5, 2020 12:30-1:30 PM

Presenters: Dr. Mathew Uretsky, Investigator with the MLDS Center and Assistant Professor at Portland State University

Topic: Understanding Persistence in High School: An Epidemiological and Latent Class Analysis of Student Academic and Labor Participation

Presentation Abstract: Preventing dropout and promoting graduation are among the chief charges of any K-12 system. Although most research and policy are focused on preventing or recovering dropouts, recent studies have identified a second group of non-graduates—persisters—who continue their enrollment into and through their fourth year of high school without earning a diploma. This study applied two statistical methods (an epidemiological approach and a latent class analysis) and used 10 years of data from the Maryland Longitudinal Data System (MLDS) to investigate whether and how persisters differ from dropouts and on-time graduates in terms of demographic characteristics and academic and workforce participation and outcomes. Understanding and documenting such differences are central for developing and targeting preventive interventions to improve students’ academic and workforce outcomes.

Presenter Bios:

Dr. Mathew C. Uretsky, Ph.D., MSW, MPH is an Investigator with the MLDS Center and an Assistant Professor at the Portland State University School of Social Work, where he directs the School Social Work licensure program. He is an applied social scientist with advanced training in the use of linked administrative data systems, program evaluation, and extensive practice experience in classroom and administrative roles. His recent research examines inter-system and cross-level influences on the academic and behavioral development of emerging adults. Dr. Uretsky received his Ph.D. from the University of Maryland where he was a Statistician and Research Fellow with the MLDS Center.

Presentation Link

Date: Thursday, October 1, 2020 12:30-1:30 PM

Presenters: Dr. Tracy Sweet and Ms. Brennan Register

Topic: Maryland Public School Teachers Working Secondary Jobs: Predicting Wages and Attrition from the Teaching Profession

Presentation Abstract: Retaining Maryland public school teachers is of key policy interest across the state. This study examines characteristics of public-school teachers who seek out-of-school employment and the relationship between out-of-school employment and teacher attrition. We begin with an exploration of teachers’ secondary employment, identifying the common industries in which teachers seek out-of-school employment, as well as examining the additional wages earned in secondary employment. We also examined the individual teacher characteristics and the school characteristics of teachers who work outside of Maryland public schools. Finally, we examine how wages relate to out-of-school employment and whether out-of-school employment subsequently relates to future teacher attrition. A discussion will focus on implications for recruiting and retaining teachers in Maryland.

Presenter Bios:

Dr. Tracy Sweet is the Associate Director of Research for the MLDS Center and is an Associate Professor in the Measurement, Statistics and Evaluation program in the department of Human Development and Quantitative Methodology at the University of Maryland, College Park. She holds a Master’s and a Ph.D. in statistics from Carnegie Mellon University.

Ms. Brennan Register is a graduate research assistant with the MLDS Center and is a PhD student in the Measurement, Statistics and Evaluation program at the University of Maryland, College Park. She holds a Master’s in Statistics from the University of Pittsburgh.

Presentation Link

Date: Thursday, June 4, 2020 12:30-1:30 PM

Presenter: Dr. Rachel Durham

Topic: Student and School Predictors of Career and College Persistence among Baltimore City Schools Graduates: Research in Progress to Identify Differences between Career and College Readiness

Presentation Abstract: Recently, policies supporting college readiness have shifted to Career and College Readiness. However, whether readiness for ‘career’ and ‘college’ is a singular construct is a hypothesis requiring empirical research. In-progress research will be presented that attempts to address this gap, investigating whether the same high school factors (e.g., grades, assessments, CTE) predict college persistence and workforce persistence over the first four years after graduation. Data for three consecutive cohorts of graduates from Baltimore City Public Schools progressing to both college and the workforce are examined, as well as students' academic profiles from high school and their high schools’ characteristics. Several differences between factors that predict college persistence relative to workforce persistence are found. The relative importance of different factors for each pathway and their implications for policy will be discussed.

Presenter Bio:

Rachel E. Durham, Ph.D., is an Associate Research Scientist at the Baltimore Education Research Consortium (BERC) within the School of Education at Johns Hopkins University. She currently serves as BERC’s Research Co-Director, teaches methods and statistics, and has research interests in college access, adult readiness, and the transition to adulthood. She is also interested in community schools, school climate, program evaluation, as well as research-practice partnerships' impact on practitioners’ capacity for research and data use.

Presentation Link

Date: Thursday, May 7, 2020 12:30-1:30 PM

Presenters: Dr. Mark Lachowicz and Dr. Terry Shaw

Topic: The MLDS Synthetic Data Project: Evaluation of Research Utility and Disclosure Risk

Presentation Abstract: The Maryland Longitudinal Data System (MLDS) Center is a central repository of highly confidential student and workforce data. The Institute of Educational Sciences funded a project to create, evaluate, and potentially release Synthetic versions of the MLDS data. We will start this presentation with a brief overview of synthetic data, and we will present an evaluation of the research validity and disclosure risk associated with the synthetic datasets created. The evaluation of research validity of the synthetic data will include efforts to assess the general utility (e.g., comparisons of variable distributions between the real and synthetic data) and specific utility (e.g., comparisons of parameter estimates from statistical analyses between the real and synthetic data). We will also present another vital step in our synthetic data project: the assessment of disclosure risk, which is required to ensure compliance with laws governing the confidentiality of state held data. Finally, we will discuss the benefits of the synthetic data for researchers who do not have access to the real data.

Presenter Bio:

Dr. Mark Lachowicz is a postdoctoral research associate with the University of Maryland, College Park. He joined the Synthetic Data Project in the fall of 2018 after completing his doctorate in Quantitative Methods from Vanderbilt University. His expertise is in methodology for the design and analysis of research studies with clustered and longitudinal data.

Dr. Terry Shaw is an Associate Professor at the University of Maryland, School of Social Work and Research Director for The Institute for Innovation and Implementation. Dr. Shaw’s background and interests focus on leveraging existing administrative data systems to improve state policy and practice related to child and family health. Dr. Shaw uses administrative data to examine the pathways into and through child serving systems, focusing on opportunities for state systems to collaborate, understand service overlaps, improve overall service delivery and address the multiple needs of the children and families involved with these systems.

Presentation Link

Date: Thursday, March 5, 2020 12:30-1:30 PM

Presenters: Drs. Jill Farrell and Terry Shaw, University of Maryland School of Social Work

Topic: The Power of University/Agency Partnerships – Examples in Juvenile Services and Child Welfare

Presentation Abstract: Research partnerships between universities and human service agencies offer mutually beneficial opportunities to leverage the research infrastructure and resources of universities to generate information agencies can use to improve overall policy and practice. The University of Maryland, School of Social Work has a long history of collaborating with state and local agencies in Maryland and nationally. Presenters will discuss the formation and structure of their respective long-time research partnerships with the Maryland Department of Juvenile Services (DJS) and Department of Human Services (DHS) including a brief overview of each system, the types of projects undertaken, and their current work with agencies. Dr. Farrell will discuss research with DJS that focuses on enhancing case management practices to reduce recidivism and increase successful outcomes. Dr. Shaw will discuss research with DHS that focuses on understanding foster care reentry and opportunities to reduce recidivism. A discussion will focus on future research possibilities with MLDS data.

Presenter Bio:

Jill Farrell is a Research Assistant Professor at the University of Maryland, School of Social Work and Deputy Director of Research and Evaluation for The Institute for Innovation and Implementation. Dr. Farrell’s background and interests concentrate on improving experiences and outcomes for youth involved with child- and family-serving systems, particularly the juvenile justice system. She has served as a primary research partner to the Maryland Department of Juvenile Services for over 15 years, collaborating on the development, implementation, and evaluation of evidence-based case management practices, assessment tools, and programs for youth. Prior to joining the School of Social Work, Dr. Farrell conducted applied policy research at the University of Maryland’s Innovations Institute, the Institute for Governmental Service and Research, the Urban Institute, and the Maryland State Commission on Criminal Sentencing Policy. She holds both a Ph.D. and M.A. in Criminology and Criminal Justice from University of Maryland, and a B.A. with distinction in Psychology from Boston College.

Terry Shaw is an Associate Professor at the University of Maryland, School of Social Work and Research Director for The Institute for Innovation and Implementation. Dr. Shaw’s background and interests focus on leveraging existing administrative data systems to improve state policy and practice related to child and family health. Dr. Shaw uses administrative data to examine the pathways into and through child serving systems, focusing on opportunities for state systems to collaborate, understand service overlaps, improve overall service delivery and address the multiple needs of the children and families involved with these systems. Dr. Shaw has over two decades of experience and expertise in developing the infrastructure, relationships and programming structure to implement multi-agency data linking systems and has extensive experience utilizing longitudinal data systems to answer questions related to service outcomes in order to inform policy and practice.

Presentation Link

Date: Thursday, February 6, 2020 12:30-1:30 PM

Presenters: Dr. Megean Garvin, Director of Research and Assessment at the Maryland Center for Computing Education, University System of Maryland

Topic: Maryland Center for Computing Education: State Case Study of Computing Education Governance

Presentation Abstract: Maryland Center for Computing Education (MCCE) was established by legislation in 2018 to expand access to high-quality computing education by strengthening educator skills and increasing the number of computing teachers in Maryland’s public schools. Teacher capacity is required to provide all students with access and increase student participation in meaningful computing education experiences. This case study examines how the State began broadening participation in computing for public school students from 2010 through 2016. Using data from the MLDS, the research examines the different policy initiatives at various governance levels and reveals the successes achieved and the persistent barriers to democratizing computing education.

Presenter Bio: Megean Garvin, Ph.D., is the Director of Research and Assessment at the Maryland Center for Computing Education, University System of Maryland. Megean's research focuses on broadening participation in computing through policy and organizational change from the classroom to the state levels of education. She obtained her Ph.D. from the University of Maryland.

Presentation Link

Date: Thursday, December 5, 2019 12:30-1:30 PM

Presenters: Dr. Bess A. Rose, Statistician, MLDS Center and University of Maryland, School of Social Work

Topic: Long-term Educational and Workforce Outcomes of Adolescent Poverty and Homelessness

Presentation Abstract: The MLDS Center focuses on the relationships of K12 experiences with postsecondary and workforce outcomes. The Center has been conducting ongoing research related to the roles of household poverty and school concentrated poverty in these relationships. Some of this research informed the recommendations of Maryland’s Commission on Innovation and Excellence in Education (“Kirwan Commission”) to improve the state’s public education system. At their request, the Center has continued to examine the variation among levels and types of poverty. This presentation will use data from the MLDS to examine homelessness as an extreme form of poverty and its role in long-term college and workforce outcomes. Results from multilevel models will be presented as predicted outcomes (high school dropout, college enrollment, and wages) for 3 groups: homeless adolescents, adolescents who experienced poverty but not homelessness, and adolescents who never experienced homelessness or poverty. All model results will control for race/ethnicity, baseline academic performance, and school composition. The research will inform practitioners and policymakers about the impact of homelessness during adolescence on college and workforce outcomes.

Presenter Bio: Bess A. Rose, Ed.D., is a statistician with the University of Maryland School of Social Work and the MLDS Center research team. She has extensive experience with quantitative and mixed methods evaluations and research studies. Previously, she was a Senior Study Director at Westat and Research and Evaluation Coordinator at the Maryland State Department of Education. She completed her doctorate at the Johns Hopkins School of Education with support from an IES Pre-Doctoral Research Trainee fellowship. She has also advised master’s students in technical writing at Goucher College’s Graduate Programs in Education and taught undergraduate courses in English and Comparative Literature at the University at Buffalo.

Presentation Link

Date: Thursday, November 7, 2019 12:30 PM - 1:30 PM

Presenters: Dr. Wade Jacobsen, Assistant Professor, University of Maryland

Topic: Juvenile Arrest and Peer Relationships: Findings from Rural Schools in Pennsylvania and Iowa*

Presentation Abstract: Friends are a key source of social capital during adolescence. They provide emotional support and transmit attitudes and skills that are important for academic success and wellbeing. Prior research has hypothesized that juvenile justice system involvement may constrain adolescent peer relationships, resulting in fewer friendships with normative peers, what we refer to as interpersonal exclusion. Our study examines the association between arrest and friendship ties among school peers. We extend prior work by focusing on three mechanisms of friendship selection implied in stigma theories: rejection, withdrawal, and homophily. Analyses of 48 rural peer networks over six time points are consistent with hypotheses about rejection and withdrawal. Arrested youth are less likely to receive friendship ties from school peers, and also less likely to extend them. Furthermore, these negative associations are attenuated by higher levels of antisocial or deviant behavior among peers, suggesting results are more heavily driven by exclusion from normative peers. We do not find evidence that arrested youth are more likely to prefer other arrested youth as friends. Overall, our findings speak to how juvenile arrest may contribute to social inequality among rural youth by excluding already disadvantaged youth from normative peer networks.

Presenter Bio: Dr. Wade Jacobsen is an Assistant Professor in the Department of Criminology and Criminal Justice at the University of Maryland and a Faculty Associate at the Maryland Population Research Center. His research investigates the roles of schools and the criminal justice system in shaping child wellbeing and inequality. His current work examines social and behavioral outcomes of school punishment and juvenile arrest. He is particularly interested in (1) how these formal sanctions affect a child or adolescent's social networks, including family and friendship networks, and (2) understanding the extent to which these network changes can explain associations of punishment with subsequent behavior and educational outcomes. Dr. Jacobsen earned a PhD from the Department of Sociology and Criminology at Penn State University and MS degree from the Department of Sociology at Brigham Young University. He also spent two years as a Research Specialist in the Center for Research on Child Wellbeing at the Office of Population Research at Princeton University.

Presentation Link

Date: 10/03/2019

Presenters: Dr. Angela K. Henneberger & Dr. Bess Rose, MLDS Center and University of Maryland School of Social Work

Topic: Multiple Membership Modeling Versus Traditional Multilevel Modeling for Handling Student Mobility in Maryland

Presentation Abstract: Researchers using data from the Maryland Longitudinal Data System (MLDS) are often interested in the effects of both student-level variables and school-level variables on long-term educational and workforce outcomes. Thus the longitudinal nature of the data in the MLDS requires a statistical approach that can disentangle effects at multiple levels of the educational hierarchy. However, following students over time means that they are likely to attend more than one school. The traditional statistical approach, hierarchical linear modeling or multilevel modeling, assume that each student is nested within only one school, an assumption that is violated when students are mobile. Multiple membership modeling (Beretvas, 2010) presents a viable solution for correctly modeling the effects of student-level and school-level variables on outcomes in data with mobile students. The purpose of this presentation is to: (1) investigate the prevalence of multiple memberships across cohorts and grade levels for students in Maryland public schools; (2) investigate the prevalence of multiple membership for specific subgroups of students and schools in Maryland public schools; and (3) apply multiple membership modeling and compare the results to those obtained from traditional multilevel modeling approaches.

Presenter Bio: Angela K. Henneberger is Principal Investigator and Director of Research of the MLDSC. She is a Research Assistant Professor at the University of Maryland School of Social Work. Dr. Henneberger’s research applies advanced quantitative methods to examine the academic, social, emotional, and behavioral development of children and adolescents, with a specific focus on at-risk students. Dr. Henneberger received her Ph.D. from the University of Virginia, where she was awarded an Institute of Education Sciences (IES) predoctoral fellowship. She completed a postdoctoral fellowship at the Pennsylvania State University in the Prevention and Methodology Training (PAMT) program.

Bess A. Rose is a statistician with the University of Maryland School of Social Work and the MLDS Center research team. She has extensive experience with quantitative and mixed methods evaluations and research studies. Previously, she was a Senior Study Director at Westat and Research and Evaluation Coordinator at the Maryland State Department of Education. She completed her doctorate at the Johns Hopkins School of Education with support from an IES Pre-Doctoral Research Trainee fellowship. She has also advised master’s students in technical writing at Goucher College’s Graduate Programs in Education and taught undergraduate courses in English and Comparative Literature at the University at Buffalo.

Presentation Link

Date: 05/02/2019

Presenters: Laura Stapleton, PhD, Professor and Associate Dean,Research, Innovation and Partnerships

Topic: An Update on the MLDS Synthetic Data Project

Presentation Abstract: There is demand among policy-makers for the use of state education longitudinal data systems, yet laws and policies regulating data disclosure limit access to such data, and security concerns and risks remain high. Well-developed synthetic datasets that statistically mimic the relations among the variables in the data from which they were derived, but which contain no records that represent actual persons, present a viable solution to these laws, policies, concerns, and risks. In this presentation, we present our in-progress development of a synthetic data system and highlight potential applications of synthetic data. We begin with an overview of synthetic data, what it is, how it has been utilized thus far, and the potential benefits and concerns in its application to education data systems. We then describe the project, funded by a grant from the State Longitudinal Data Systems Program at the U.S. Department of Education to the Maryland State Department of Education. In this project, we have proposed the steps required to synthesize the data from the Maryland Longitudinal Data System. We review the challenges that we have confronted, and the successes experienced, in the development of our synthetic data system and explain the process going forward for validity testing and data disclosure risk evaluation.

Presenter Bio: Laura M. Stapleton is Associate Dean for Research, Innovation, and Partnerships. She is also a Professor in Measurement, Statistics and Evaluation (EDMS) in the Department of Human Development and Quantitative Methodology at the University of Maryland and served as the Associate Director of the Research Branch of the Maryland State Longitudinal Data System Center from 2013-2018. She joined the faculty of the college in Fall 2011 after being on the faculty in Psychology at the University of Maryland, Baltimore County and in Educational Psychology at the University of Texas, Austin. She currently serves as Associate Editor of AERA Open and each year teaches as part of the faculty of the National Center for Education Research funded Summer Research Training Institute on Cluster Randomized Trials at Northwestern University. Prior to earning her Ph.D. in Measurement, Statistics and Evaluation, she was an economist at the Bureau of Labor Statistics and, subsequently, conducted educational research at the American Association of State Colleges and Universities and as Associate Director of institutional research at the University of Maryland.

Presentation Link

Date: 04/04/2019

Presenters: Dr. Bess A. Rose, Statistician, MLDS Center and University of Maryland, School of Social Work

Topic: Applying Longitudinal Data Analysis Methods to Examine Poverty as a Predictor of Wage Trajectories

Presentation Abstract: “In life, everything that is truly important is longitudinal.” – John Willett

Most studies conducted using MLDS data have examined wages as an outcome variable, and estimated the relationship of schooling experiences with total wages. However, we have not yet examined the full picture of how individuals’ wages change over time, and the effect of K12 and postsecondary education experiences on their wage trajectories. This presentation will examine one method researchers could use to examine wage patterns over time in more detail by using repeated measure or growth curve modeling. This method would enable researchers to estimate individuals’ initial outcomes at a set point in time (e.g., in the first quarter after high school graduation), their estimated subsequent growth for each increment of time (e.g., quarter), and the impact of individual events (e.g., enrolling in college, obtaining a college degree) or policy changes (e.g., making two-year college tuition free to all income-eligible individuals) on the shape of these trajectories. This presentation will provide an overview of growth modeling techniques and an applied example using MLDS data from a study of the impact of student and school poverty and race/ethnicity on long-term outcomes. These analyses will further clarify the roles of poverty and race/ethnicity on individuals’ wages over time.

Presentation Link

Date: 03/07/2019

Presenters: F. Chris Curran, PhD, is an Assistant Professor of Public Policy at the UMBC School of Public Policy where he teaches and advises in the education policy track and the evaluation and analytic methods track. His research focuses on early elementary education, with a specific focus on early science achievement, as well as on issues of school discipline and safety. His research has been published in journals such as Educational Researcher and Educational Evaluation and Policy Analysis and has been featured in outlets such as Education Week and Politico. Previously, Dr. Curran was a middle school science teacher and department chair. More on his work can be found here

Topic: Early Elementary Science Test Score Gaps: Differences by Race/Ethnicity, Gender, and Language Backgrounds

Presentation Abstract: Student achievement in science is a pressing goal of educators and policymakers. However, until recently, there has been limited research on the performance of students in science in the earliest grades of elementary school. Recent evidence suggests that the earliest years of elementary school may be critical for setting trajectories of science learning as well as disparities in such achievement between subgroups. This talk draws on several recent studies that examine science achievement in the earliest grades of school (kindergarten to second grade). In particular, it explores how science achievement varies by race/ethnicity and gender and how these disparities compare to early test score gaps in other subject areas. Findings suggest that early elementary test score gaps are often larger in science than in mathematics or reading. For example, while Asian students perform as well or better than their white peers in mathematics and reading, they lag significantly behind in early science test score performance. This work explores some of the predictors of these differences, finding an important role for language and immigration status as well as variability explained by both in and out of school factors. Implications for policy and practice in early STEM are discussed.

Each semester the MLDS Center invites one external scholar who is engaged in research that can inform current MLDS research initiatives. Dr. Curran will help to inform the MLDS Center’s research efforts on STEM achievement.

Presentation Link

Date: 02/07/2019

Presenters: Dr. Tracy M. Sweet & Tessa L. Johnson

Topic: Using Social Network Methods to Inform MLDS Center Research: An Example with Student Mobility

Presentation Abstract: A social network consists of a group of individuals (or entities) and the relationships (or connections) among them. Examples of social networks outside of Facebook and Twitter include friendship ties among a group of students in a classroom, co-authorship, or other types of collaborative networks, and childcare sharing networks. Due to the structure of these data, social networks have unique methods for analysis. We will present an introduction to social network analysis, a brief introduction to social network models, and discuss how quantitative methods used for network analysis can be used in MLDS research. As an example, we use network methods to explore student mobility across schools within several counties in the state of Maryland.

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Date: 12/06/2018

Presenters: Dr. Dawnsha R. Mushonga, Investigator, MLDS Center and Postdoctoral Fellow, University of Maryland, School of Social Work

Topic: Using Longitudinal Data to Assess Long-Term Outcomes Associated with Poverty in Maryland Students

Presentation Abstract: Poverty affects more than 15 million children who are disproportionately racial/ethnic minorities and has been linked to negative outcomes such as poor academic achievement and decreased lifelong earnings. Extant literature has highlighted the profound effects of poverty for students exposed for longer periods of time; however, few studies have focused on disentangling the roles of poverty and race on students’ long-term outcomes. To better understand the multifaceted role of poverty, this study used data from the Maryland Longitudinal Data System (MLDS) to examine the relation between student-level poverty and race and school-level poverty and racial composition to predict students’ long-term educational and career outcomes. This presentation provides an update on findings presented in July to the Commission on Innovation and Excellence in Education. Our findings aid policy makers and practitioners in identifying at-risk students and targeting interventions at the individual and school levels to combat the negative effects of poverty and promote students’ academic and career success.

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Date: 11/01/2018

Presenters: Dr. Mathew C. Uretsky, Investigator, MLDS Center & Dr. Angela K. Henneberger, Research Director, MLDS Center

Topic: Remedial Coursework in Maryland Community Colleges: Disentangling Student and High School Level Predictors

Presentation Abstract: Remedial courses at community colleges are designed to develop the skills of students who are underprepared for the academic rigor of college courses. A significant portion of students in Maryland and nationwide are assessed to need remedial coursework each year. This study used data from the Maryland Longitudinal Data System (MLDS) to examine the individual- and high school-level characteristics that predict the need for remediation in Maryland community colleges. The results can help policy makers and practitioners identify at-risk students before they arrive at college in order to help better prepare them for college-level coursework and reduce the need for remediation among recent high school graduates.

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Date: 10/04/2018

Presenters: Romona C. Carrico, Christopher Wohn, and Amir François

Topic: Problem, Research, Action: Poverty Measurement Transition in Baltimore City Public Schools

Presentation Abstract: This presentation will cover the methodology of the longitudinal and historical poverty analysis and subsequent school-level and student subgroup analyses using data from Baltimore City Public Schools. The second part of the presentation will discuss how the Office of Achievement and Accountability (OAA) in Baltimore City Public Schools assessed the impact of the change in the poverty measurement process on school-level poverty rates using a multivariate prediction model.

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Date: 05/03/2018

Presenters: Bess A. Rose, Dawnsha R. Mushonga, and Angela K. Henneberger

Topic: The Relationship Between Poverty and Long-Term Student Outcomes: Disentangling the Effects of Individual and School Poverty

Presentation Abstract: The MLDS Center is examining the effects of school-level concentrated poverty and individual student poverty on outcomes such as high school graduation, entry and persistence in post-secondary education, entry into the workforce, and wages earned. From previous research, we know that both individual poverty and school-level poverty are significant barriers to educational success, but the relative impact of these factors and how they interact is unclear. We used statewide longitudinal data to examine the relative impact and interaction of student- and school-level poverty on long-term outcomes. Preliminary findings suggest that defining poverty based on students’ status at a single point in time, rather than considering their history of poverty, may lead to underestimating poverty’s effects. Findings also suggest that while both student poverty and school-level concentrations of poverty have a significant and negative effect on students’ outcomes, the effect of school-level poverty is considerably larger than that of individual poverty alone.

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Date: 04/19/2018

Presenters: Dr. Nolan G. Pope

Topic: The Multidimensional Impact of Teachers on Students

Presentation Abstract: For decades, policymakers and researchers have used value-added models that rely solely on student test scores to measure teacher quality. However, since teaching ability is multidimensional, test-score value-added measures of teacher quality may not fully capture the impact of teachers on students. In this talk, Dr. Pope will present research using test-score and non-test-score measures of student achievement and behavior from over a million students in the Los Angeles Unified School District to estimate multiple dimensions of teacher quality. Results indicate that test-score and non- test-score measures of teacher quality are only weakly correlated, and that both measures of teacher quality affect students’ performance in high school. Results from a simulation study removing teachers based on both dimensions of teacher quality show improvement in most long-term student outcomes by over 50 percent compared to removal of teachers using test scores alone. The long-term effects of teachers in later grades are larger than in earlier grades and that performance in core elementary school subjects matters more for long-term outcomes than other subjects.

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Date: 02/01/2018

Presenters: Heath Witzen, Research Fellow, Maryland Longitudinal Data System Center

Topic: The Effect of High School Career and Technical Education on Postsecondary Enrollment and Early Career Wages

Presentation Abstract: Career and Technical Education (CTE) has become a topic of considerable policy-making interest as a way of providing specialized education and expanding the number of career pathways available to high schools students. This research examines the effect of CTE program completion during high school on postsecondary outcomes, including college enrollment and workforce wages. Using propensity score matching, this research uses MLDS data to estimate a causal effect of CTE on postsecondary enrollment and wages up to six years after high school graduation.

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