Dataset Heterogeneity in the conceptions of intelligence of university teaching staff

Description

This research project aims to measure and analyze the heterogeneity of university teachers' conceptions of intelligence. To this end, we have developed a new method of analysis: Heterogeneity by Contradiction Analysis (HCA). We conducted semi-structured interviews with 20 university teachers, presenting them with a series of short cases or vignettes depicting different facets of intelligence. Based on the discourse elicited, we first created a category system. Then, we pre-defined a series of possible contradictions among pairs of categories. Using these pre-defined contradictions, a systematic sampling of theoretical contradictions could be obtained from the discourse. Finally, a researcher reviewed these sampled contradictions in order to find and code real contradictions, which were later analyzed.

Abstract

- Interview Script - Datos Heterogeneity - Manual de Codificación Concepciones de Inteligencia

Abstract

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