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Commentary: A Proposed Remedy for Grievances about Self-Report Methodologies
- Source :
-
Frontline Learning Research . 2020 8(3):164-173. - Publication Year :
- 2020
-
Abstract
- This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To approach these issues, I first recap the kinds of self-report data gathered by researchers reporting in this special issue. With that background, I take up a fundamental question. What are self-report data? I foreshadow later critical analysis by listing facets I observe in operational definitions of self-report data: nature of the datum, topic, property, setting or context, response scale, and assumptions setting a stage for analyzing data. Discussion of these issues leads to a proposal that ameliorates some of them: Help respondents become better at self reporting.
Details
- Language :
- English
- ISSN :
- 2295-3159
- Volume :
- 8
- Issue :
- 3
- Database :
- ERIC
- Journal :
- Frontline Learning Research
- Publication Type :
- Academic Journal
- Accession number :
- EJ1260776
- Document Type :
- Journal Articles<br />Opinion Papers<br />Reports - Descriptive