Teachers' Evaluations and the Definition of the Situation in the Classroom
AbstractThe theoretical contribution of this paper is to regard teachers' evaluations with a prognostic claim about students' future academic ability as a result of a special social situation in the classroom. We assume that after teachers have framed the social situation, particular scripts of action will determine the criteria on which teachers ground their evaluations. In concrete terms, we propose a theoretical approach that integrates existing meritocratic and 'habitus' explanations in the comprehensive framework of frame selection theory with its important distinction between a more automatic and a more rational type of information processing. Our empirical contribution is to test the hypotheses that we deduced from our theoretical assumptions in a set of structural equation models. Using data from the Cologne High School Panel (CHiSP), we find that even when controlling for the path structure of the model, indicators for both kinds of concepts are statistically significant. However, regardless of the underlying type of information processing, the predictive power of indicators operationalizing the meritocratic explanation is comparatively higher.
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Bibliographic InfoPaper provided by Cologne Graduate School in Management, Economics and Social Sciences in its series Cologne Graduate School Working Paper Series with number 02-04.
Date of creation: 22 Mar 2011
Date of revision:
teachers' evaluations; inequality in educational opportunities; frame selection theory; structural equation modeling;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-04-02 (All new papers)
- NEP-EDU-2011-04-02 (Education)
- NEP-LAB-2011-04-02 (Labour Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer, vol. 69(2), pages 167-190, June.
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