Literaturnachweis - Detailanzeige
Autor/in | Winne, Philip H. |
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Titel | Commentary: A Proposed Remedy for Grievances about Self-Report Methodologies |
Quelle | In: Frontline Learning Research, 8 (2020) 3, S.164-173 (10 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 2295-3159 |
Schlagwörter | Stellungnahme; Data Analysis; Measurement Techniques; Data Collection; Protocol Analysis; Interviews; Surveys; Diaries; Likert Scales; Questionnaires |
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. (As Provided). |
Anmerkungen | European Association for Research on Learning and Instruction. Peterseliegang 1, Box 1, 3000 Leuven, Belgium. e-mail: info@frontlinelearningresearch.org; Web site: http://journals.sfu.ca/flr/index.php/journal/index |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |