An Analysis of the Effectiveness of Supplemental Instruction: The Problem of SelectionBias and Limited Dependent Variables

Document Type

Article

Journal/Book Title/Conference

Journal of College Student Retention

Volume

5

Issue

2

Publication Date

2003

Abstract

Single equation regression models have been used rather extensively to test the effectiveness of Supplemental Instruction (SI). This approach, however, fails to account for the possibility that SI attendance and the outcome of SI attendance are jointly determined endogenous variables. Moreover, the standard approach fails to account for the fact that these two endogenous variables are categorical. This article presents and applies a simultaneous equation, limited dependent variable model of SI effectiveness. Our analysis suggests that results from applying this type of model may differ markedly from the traditional statistical models applied in SI research. Specifically, our results suggest that students with below average academic ability are more likely to attend SI and that common measures of student ability included in single equation models fail to adequately control for this characteristic. Therefore, single equation OLS models may underestimate SI effectiveness.

Link to Full Text

Share

COinS