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Predoctoral Interdisciplinary Research Training Programs in the Education Sciences

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Stanford University Predoctoral Training Program in Quantitative Educational Policy Analysis

Year: 2009
Name of Institution:
Stanford University
Goal: Training
Principal Investigator:
Reardon, Sean
Award Amount: $4,999,828
Award Period: 5 years
Award Number: R305B090016

Description:

The Stanford University Predoctoral Training Program in Quantitative Educational Policy Analysis has been designed to provide doctoral students in social science disciplines (especially Economics, Sociology, Political Science, and Psychology) and in the School of Education with advanced training in state-of-the-art quantitative methods of discipline-based educational policy analysis. Educational policy, for the purposes of this program, encompasses federal and state educational policy and law and school district policies and practices pertaining to school leadership, human resources, curricula, and instructional practices, as well as the impact of other social policies (e.g., immigration law and policy) as they pertain specifically to educational processes and outcomes. Fellows participated in an interdisciplinary core curriculum consisting of coursework in education policy, discipline-based theory, and applied quantitative research methods, including a 1-year course in applied statistical analysis, a course in measurement, several elective courses in statistics, and an ongoing interdisciplinary quantitative methods seminar. Fellows received additional training through research apprenticeships, a series of annual summer advanced training workshops, an ongoing educational policy analysis speaker series, and a series of annual conferences on educational policy analysis.

35 students completed the training program funded under this award at Stanford University.

Baker, Rachel (ORCID) Grewal, Elen Taylor, Eric
Bardack, Sarah Gurantz, Oded (ORCID) Tirado-Strayer, Nicole
Bonilla, Sade (ORCID) Holzman, Brian (ORCID) Townsend, Joseph
Brown, Lindsay John, June* Umansky, Ilana (ORCID)
Candelaria, Chris (ORCID) Johnston, Jamie (ORCID) Valant, Jon
Doss, Christopher Kasman, Matt Valentino, Rachel
Evans, Brent (ORCID) Nakagawa, Mana Weathers, Ericka*
Fahle, Erin (ORCID) Portilla, Ximena (ORCID) Whitney, Camille
Finch, Jenna (ORCID) Rodriguez, Natassia  (ORCID) Williams, Imeh
Fox, Lindsay Shear, Benjamin (ORCID) York, Ben
Garcia, Elisa Shores, Ken (ORCID) Zárate, Rosalia (ORCID)
Greenberg, Erica Soland, James (ORCID)

* Also received funding through training grantR305B1400090

Project Website: https://cepa.stanford.edu/iesdoctoraltraining/

Related IES Projects: Stanford University received an additional award (R305B140009) in 2014

Publications

Book Chapters

Tinajero, J. V., Munter, J. H., & Araujo, B. (2021). Best practices for teaching Latino English learners in US schools. In Handbook of Latinos and education (pp. 401–421). Routledge.

Journal Articles

Baker, R. (2016). The effects of structured transfer pathways in community colleges. Educational Evaluation and Policy Analysis, 38(4), 626–646.

Baker, R., Bettinger, E., Jacob, B., & Marinescu, I. (2018). The effect of labor market information on community college students' major choice. Economics of Education Review, 65, 18–30.

Baker, R., Evans, B., & Dee, T. (2016). A randomized experiment testing the efficacy of a scheduling nudge in a Massive Open Online Course(MOOC). AERA Open, 2(4), 2332858416674007.

Baker, R., Klasik, D., & Reardon, S. F. (2018). Race and stratification in college enrollment over time. AERA Open, 4(1), 2332858417751896.

Bardack, S., & Obradovic´, J. (2017). Emotional behavior problems, parent emotion socialization, and gender as determinants of teacher–child closeness. Early Education and Development, 28(5), 507–524.

Bardack, S., Herbers, J. E., & Obradovic, J. (2017). Unique contributions of dynamic versus global measures of parent–child interaction quality in predicting school adjustment. Journal of Family Psychology, 31(6), 649.

Bassok, D., Fitzpatrick, M., Greenberg, E., & Loeb, S. (2016). Within-and between-sector quality differences in early childhood education and care. Child development, 87(5), 1627–1645.

Bettinger, E., Gurantz, O., Kawano, L., Sacerdote, B., & Stevens, M. (2019). The long-run impacts of financial aid: Evidence from California's Cal Grant. American Economic Journal: Economic Policy, 11(1), 64–94.

Bettinger, E. P., Fox, L., Loeb, S., & Taylor, E. S. (2017). Virtual classrooms: How online college courses affect student success. American Economic Review, 107(9), 2855–75.

Bettinger, E. P., Long, B. T., & Taylor, E. S. (2016). When inputs are outputs: The case of graduate student instructors. Economics of Education Review, 52, 63–76.

Candelaria, C. A., & Shores, K. A. (2019). Court-ordered finance reforms in the adequacy era: Heterogeneous causal effects and sensitivity. Education Finance and Policy, 14(1), 31–60.

Doss, C. (2019). How Much Regulation? A Fuzzy Regression Discontinuity Analysis of Student Literacy Skills in Prekindergarten vs. Transitional Kindergarten. Education Finance and Policy, 14(2), 178–209.

Doss, C., Fahle, E. M., Loeb, S., & York, B. N. (2019). More than just a nudge supporting kindergarten parents with differentiated and personalized text messages. Journal of Human Resources, 54(3), 567–603.

Evans, B. J. (2017). SMART money: Do financial incentives encourage college students to study science? Education Finance and Policy, 12(3), 342–368.

Evans, B. J., Baker, R. B., & Dee, T. S. (2016). Persistence patterns in massive open online courses (MOOCs). The Journal of Higher Education, 87(2), 206–242.

Evans, B. J., & Willinsky, J. (2013). Setting aside the course reader: The legal, economic, and pedagogical reasons. Innovative Higher Education, 38(5), 341–354.

Fahle, E. M., & Reardon, S. F. (2018). How much do test scores vary among school districts? New estimates using population data, 2009–2015. Educational Researcher, 47(4), 221–234.

Finch, J. E., & Obradovic, J. (2017). Unique effects of socioeconomic and emotional parental challenges on children's executive functions. Journal of Applied Developmental Psychology, 52, 126–137.

Finch, J. E., & Obradovic, J. (2017). Independent and compensatory contributions of executive functions and challenge preference for students' adaptive classroom behaviors. Learning and Individual Differences, 55, 183–192.

Fox, L.(2016). Playing to teachers' strengths: Using multiple measures of teacher effectiveness to improve teacher assignments. Education Finance and Policy, 11(1), 70–96.

Fox, L. (2015). Seeing potential: The effects of student–teacher demographic congruence on teacher expectations and recommendations. AERA Open, 2(1), 2332858415623758.

Greenberg, E. H. (2018). Public preferences for targeted and universal preschool. AERA Open, 4(1), 2332858417753125.

Gurantz, O. (2022). Impacts of State Aid for Nontraditional Students on Educational and Labor Market Outcomes. Journal of Human Resources, 57(1), 241–271.

Gurantz, O. (2018). A Little Can Go a Long Way: The Impact of Advertising Services on Program Take-Up. Educational Evaluation and Policy Analysis, 40(3), 382–398.

Gurantz, O., Hurwitz, M., & Smith, J. (2017). College enrollment and completion among nationally recognized high-achieving Hispanic students. Journal of Policy Analysis and Management, 36(1), 126–153.

John, J. P.(2017). Gender differences and the effect of facing harder competition. Journal of Economic Behavior & Organization, 143, 201–222.

Master, B., Loeb, S., Whitney, C., & Wyckoff, J. (2016). Different skills? Identifying differentially effective teachers of English language learners. The Elementary School Journal, 117(2), 261–284.

Nakagawa, M., & Wotipka, C. M. (2016). The worldwide incorporation of women and women's rights discourse in social science textbooks, 1970–2008. Comparative Education Review, 60(3), 501–529.

Obradovic, J., & Finch, J. E. (2017). Linking executive function skills and physiological challenge response: Piecewise growth curve modeling. Developmental Science, 20(6), e12476.

Obradovic, J., Portilla, X. A., & Ballard, P. J. (2016). Biological sensitivity to family income: Differential effects on early executive functioning. Child Development, 87(2), 374–384.

Obradovic, J., Portilla, X. A., Tirado-Strayer, N., Siyal, S., Rasheed, M. A., & Yousafzai, A. K. (2017). Maternal scaffolding in a disadvantaged global context: The influence of working memory and cognitive capacities. Journal of Family Psychology, 31(2), 139.

Obradovic, J., Tirado-Strayer, N., & Leu, J. (2013). The importance of family and friend relationships for the mental health of Asian immigrant young adults and their nonimmigrant peers. Research in Human Development, 10(2), 163–183.

Obradovic, J., Yousafzai, A. K., Finch, J. E., & Rasheed, M. A. (2016). Maternal scaffolding and home stimulation: Key mediators of early intervention effects on children's cognitive development. Developmental Psychology, 52(9), 1409.

Portilla, X. A., Ballard, P. J., Adler, N. E., Boyce, W. T., & Obradovic, J. (2014). An integrative view of school functioning: Transactions between self-regulation, school engagement, and teacher–child relationship quality. Child Development, 85(5), 1915–1931.

Reardon, S. F., Fahle, E. M., Kalogrides, D., Podolsky, A., & Zárate, R. C.(2019). Gender achievement gaps in US school districts. American Educational Research Journal, 56(6), 2474–2508.

Reardon, S. F., & Portilla, X. A. (2016). Recent trends in income, racial, and ethnic school readiness gaps at kindergarten entry. AERA Open, 2(3), 2332858416657343.

Reardon, S. F., Kalogrides, D., Fahle, E. M., Podolsky, A., & Zárate, R. C. (2018). The relationship between test item format and gender achievement gaps on math and ELA tests in fourth and eighth grades. Educational Researcher, 47(5), 284–294.

Reardon, S. F., Shear, B. R., Castellano, K. E., & Ho, A. D. (2017). Using heteroskedastic ordered probit models to recover moments of continuous test score distributions from coarsened data. Journal of Educational and Behavioral Statistics, 42(1), 3–45.

Shear, B. R.(2018). Using Hierarchical Logistic Regression to Study DIF and DIF Variance in Multilevel Data. Journal of Educational Measurement, 55(4), 513–542.

Shear, B. R., & Reardon, S. F. (2021). Using pooled heteroskedastic ordered probit models to improve small-sample estimates of latent test score distributions. Journal of Educational and Behavioral Statistics, 46(1), 3–33.

Taylor, E. S. (2018). Skills, job tasks, and productivity in teaching: Evidence from a randomized trial of instruction practices. Journal of Labor Economics, 36(3), 711–742.

Taylor, E. (2014). Spending more of the school day in math class: Evidence from a regression discontinuity in middle school. Journal of Public Economics, 117, 162–181.

Umansky, I. M. (2018). According to plan? Examining the intended and unintended treatment effects of EL classification in early elementary and the transition to middle school. Journal of Research on Educational Effectiveness, 11(4), 588–621.

Umansky, I. M. (2016). Leveled and exclusionary tracking: English learners' access to academic content in middle school. American Educational Research Journal, 53(6), 1792–1833.

Umansky, I. M., & Reardon, S. F. (2014). Reclassification patterns among Latino English learner students in bilingual, dual immersion, and English immersion classrooms. American Educational Research Journal, 51(5), 879–912.

Umansky, I. M., Callahan, R. M., & Lee, J. C. (2020). Making the invisible visible: Identifying and interrogating ethnic differences in English learner reclassification. American Journal of Education, 126(3), 335–388.

Valant, J., & Newark, D. A. (2020). The word on the street or the number from the state? Government-provided information and Americans' opinions of schools. Journal of Public Administration Research and Theory, 30(4), 674–692.

Valant, J., & Newark, D. A. (2016). The politics of achievement gaps: US public opinion on race-based and wealth-based differences in test scores. Educational Researcher, 45(6), 331–346.

Valentino, R. A., & Reardon, S. F. (2015). Effectiveness of four instructional programs designed to serve English learners: Variation by ethnicity and initial English proficiency. Educational Evaluation and Policy Analysis, 37(4), 612–637.

Whitney, C. R., & Candelaria, C. A. (2017). The effects of No Child Left Behind on children's socioemotional outcomes. AERA Open, 3(3), 2332858417726324.

Whitney, C. R., & Liu, J. (2017). What we're missing: A descriptive analysis of part-day absenteeism in secondary school. AERA Open, 3(2), 2332858417703660.

York, B. N., Loeb, S., & Doss, C. (2019). One step at a time the effects of an early literacy text-messaging program for parents of preschoolers. Journal of Human Resources, 54(3), 537–566.

Proceedings

Williams, B. A. (2015, March). Peers in MOOCs: Lessons based on the education production function, collective action, and an experiment. In Proceedings of the Second (2015) ACM Conference on Learning@ Scale (pp. 287–292).