Student Mobility Patterns and Achievement in Wisconsin
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Student Mobility Patterns and Achievement in Wisconsin. Prepared for the Wisconsin Department of Public Instruction Selina Eadie Ryan Eisner Bryan Miller Leni Wolf Monday, May 13, 2013. Overview of Presentation. ● Overview of Previous Findings ● Methodology of Analysis

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Student Mobility Patterns and Achievement in Wisconsin

Prepared for the Wisconsin Department of Public Instruction

Selina Eadie

Ryan Eisner

Bryan Miller

Leni Wolf

Monday, May 13, 2013


Overview of Presentation

  • ● Overview of Previous Findings

  • ● Methodology of Analysis

  • ● Description of Mobility in Wisconsin

  • ● Association Between Mobility and Achievement

  • ● Policy Implications and Ideas for Future Research


Research Questions

● What is the state of student mobility in WI?

● What is mobility’s association with achievement?


Previous Findings

● Moves associated with lower academic performance

● Different mobility rates for different groups of students

●Timing matters (both time of year and time of academic career)

●Inter- versus intra-district moves


Methodology

  • ● First research using Wisconsin Student Number Locator System (WSLS)

  • ●Created a cohort of students for analysis

    • ●Start: September 15, 2006

    • ●End: May 1, 2011

  • ●Students in Cohort: 319,230





Moves by Time of Year (2006-07 through 2010-11)





Reading and Math WKCE Scores for 10 2010-11)th Graders in 2010-11


Reading and Math WKCE Scores for 10 2010-11)th Graders in 2010-11


Regression Confirmation 2010-11)

● Ran an OLS regression to test these relationships

● Controlled for:

● Race, Economic Status, Homelessness,District,Ever received English Language Learner (ELL) services

Includes fixed effects for district

● Findings

● Coefficients on moves consistently negative and significant at .01 level

● Coefficients on other variables consistently of greater magnitude


Summary of Findings 2010-11)

● Black and Hispanic students appear to move much more frequently than their White and Asian-American peers

●Students who qualify for free or reduced-priced lunch move more than full-price students

●Students in largest districts are more likely to move than the state average

● Especially Milwaukee

●Consistent relationship between mobility and achievement


Future Research Considerations 2010-11)

● Detect residential moves

● Moves by time in academic career

●Type of destination school

● Prior year test score controls


Policy Implications 2010-11)

● Information and record-keeping systems

● Funding mechanisms and sources

● Implications for school choice policies


Acknowledgements
Acknowledgements 2010-11)

● Jared Knowles, Wisconsin Department of Public Instruction

● Russell Dimond, University of Wisconsin-Madison

● Jed Richardson, Wisconsin Center for Education Research

● Professor Andrew Reschovsky, University of Wisconsin- Madison


Thank you! 2010-11)

Questions?




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