Stephen Lipscomb
Mathematica Policy Research
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Featured researches published by Stephen Lipscomb.
Education Finance and Policy | 2011
Elizabeth Dhuey; Stephen Lipscomb
This study examines responses to state capitation policies for special education finance between 199192 and 20034. Capitation refers to distributing funds based on the entire student enrollment. We find that disability rates tended to fall following capitation reforms, primarily in subjectively diagnosed categories and in early and late grades. The association appears immediately in less severe categories but gradually in severe categories. More frequent program exiting partly accounts for falling disability rates among high school students. Capitation also is associated with a rising local share and a falling state share of funding. The evidence supports an increased use of outside school placements among severe disabilities, consistent with an incentive-based response. We find weaker evidence of a relationship between capitation and higher request rates for dispute resolution. Finally, we present evidence of differential effects based on both the pre-reform funding system and the presumed strength of the policy change.
Education Finance and Policy | 2016
Hanley Chiang; Stephen Lipscomb; Brian Gill
States across the country are developing systems for evaluating school principals on the basis of student achievement growth. A common approach is to hold principals accountable for the value added of their schools—that is, schools’ contributions to student achievement growth. In theory, school value added can reflect not only principals’ effectiveness but also other school-specific influences on student achievement growth that are outside of principals’ control. In this paper, we isolate principals’ effects on student achievement growth and examine the extent to which school value added captures the effects that principals persistently demonstrate. Using longitudinal data on the math and reading outcomes of fourth- through eighth-grade students in Pennsylvania, our findings indicate that school value added provides very poor information for revealing principals’ persistent levels of effectiveness.
Journal of Research on Educational Effectiveness | 2015
Matthew Johnson; Stephen Lipscomb; Brian Gill
Abstract Teacher value-added models (VAMs) must isolate teachers’ contributions to student achievement to be valid. Well-known VAMs use different specifications, however, leaving policymakers with little clear guidance for constructing a valid model. We examine the sensitivity of teacher value-added estimates under different models based on whether they include student and peer background characteristics, and a double-lagged achievement score. We also consider two previously unexplored model variations: (a) replacing classroom peer characteristics with teacher-level averages, and (b) allowing demographics to influence the relationship between current and prior achievement. Using data from a northern state, we find that teacher effectiveness estimates are highly correlated across specifications. However, up to 26% of teachers in the bottom quintile using one specification are ranked higher using another specification. Differences between VAMs have direct implications for which estimates change. In particular, teachers in a district with a large fraction of disadvantaged students receive lower ratings when background characteristics are omitted. Other modeling choices have smaller practical consequences, and none are as important as selecting which assessment to use as the outcome measure.
Education Finance and Policy | 2013
Elizabeth Dhuey; Stephen Lipscomb
Several states and the federal government distribute aid for special education programs based primarily on total district enrollment and a fixed aid amount per student, a method called census funding. In this policy brief, we address three questions to help policy makers, educators, and researchers better understand census-funding models and special education finance policies in general. The first question is, what are the key advantages and disadvantages of census-funding models? The second and third questions relate to aspects of policy implementation, in the event a state legislature should choose to adopt the approach. First, we examine what options are available to mitigate concerns about the equity of funding under a census funding model. Second, we examine what other options exist for helping states and districts to contain special education costs while maintaining a high level of quality.
Economics of Education Review | 2008
Elizabeth Dhuey; Stephen Lipscomb
Economics of Education Review | 2010
Elizabeth Dhuey; Stephen Lipscomb
Mathematica Policy Research Reports | 2012
Matthew Johnson; Stephen Lipscomb; Brian Gill; Kevin Booker; Julie Bruch
Mathematica Policy Research Reports | 2010
Stephen Lipscomb; Bing-ru Teh; Brian Gill; Hanley Chiang; Antoniya Owens
Mathematica Policy Research Reports | 2013
R. Brian Cobb; Stephen Lipscomb; Jennifer R. Wolgemuth; Theresa Schulte; Abigail Veliquette; Morgen Alwell; Keriu Batchelder; Robert Bernard; Paul R. Hernandez; Helen Holmquist-Johnson; Rebecca Orsi; Laura B. Sample McMeeking; Jun Wang; Andrea Welnberg
Mathematica Policy Research Reports | 2013
Elias Walsh; Stephen Lipscomb