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Author: Junker, Brian
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Junker, Brian Schofield, Lynne Steuerle Taylor, Lowell J. |
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The Use of Cognitive Ability Measures as Explanatory Variables in Regression Analysis IZA Journal of Labor Economics 1,4 (October 2012): . Also: http://link.springer.com/article/10.1186/2193-8997-1-4 Cohort(s): NLSY97 Publisher: Springer Keyword(s): Educational Attainment; Modeling, Mixed Effects; Peabody Individual Achievement Test (PIAT- Math); Racial Differences; Test Scores/Test theory/IRT Permission to reprint the abstract has not been received from the publisher. Cognitive ability measures are often taken as explanatory variables in regression analysis, e.g., as a factor affecting a market outcome such as an individual’s wage, or a decision such as an individual’s education acquisition. Cognitive ability is a latent construct; its true value is unobserved. Nonetheless, researchers often assume that a test score, constructed via standard psychometric practice from individuals’ responses to test items, can be safely used in regression analysis. We examine problems that can arise, and suggest that an alternative approach, a “mixed effects structural equations” (MESE) model, may be more appropriate in many circumstances. |
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Bibliography Citation
Junker, Brian, Lynne Steuerle Schofield and Lowell J. Taylor. "The Use of Cognitive Ability Measures as Explanatory Variables in Regression Analysis." IZA Journal of Labor Economics 1,4 (October 2012): .
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