Does Sorting Students Improve Scores? An Analysis of Class Composition

Working Paper: NBER ID: w18848

Authors: Courtney A. Collins; Li Gan

Abstract: This paper examines schools' decisions to sort students into different classes and how those sorting processes impact student achievement. There are two potential effects that result from schools creating homogeneous classes--a "tracking effect," which allows teachers to direct their focus to a more narrow range of students, and a peer effect, which causes a particular student's achievement to be influenced by the quality of peers in his classroom. In schools with homogeneous sorting, both the tracking effect and the peer effect should benefit high performing students. However, the effects would work in opposite directions for a low achieving student; he would benefit from the tracking effect, but the peer effect should decrease his score. This paper seeks to determine the net effect for low performing students in order to understand the full implications of sorting on all students. \nWe use a unique student-level data set from Dallas Independent School District that links students to their actual classes and reveals the entire distribution of students within a classroom. We find significant variation in sorting practices across schools and use this variation to identify the effect of sorting on student achievement. Implementing a unique instrumental variables approach, we find that sorting homogeneously by previous performance significantly improves students' math and reading scores. This effect is present for students across the score distribution, suggesting that the net effect of sorting is beneficial for both high and low performing students. We also explore the effects of sorting along other dimensions, such as gifted and talented status, special education status, and limited English proficiency.

Keywords: No keywords provided

JEL Codes: I21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
sorting students homogeneously by previous performance (D29)students' math and reading scores (I24)
sorting students homogeneously by previous performance (D29)efficiency gains (D61)
tracking effect (C22)efficiency gains (D61)
high achieving students (D29)peer effect from similarly high achieving classmates (C92)
low achieving students (I24)peer effect (C92)
peer effect (C92)low achieving students' scores (I24)
sorting students homogeneously by previous performance (D29)low performing students' scores (I24)

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