Literaturnachweis - Detailanzeige
Autor/in | Haardörfer, Regine |
---|---|
Titel | Taking Quantitative Data Analysis out of the Positivist Era: Calling for Theory-Driven Data-Informed Analysis |
Quelle | In: Health Education & Behavior, 46 (2019) 4, S.537-540 (4 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Haardörfer, Regine) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1090-1981 |
DOI | 10.1177/1090198119853536 |
Schlagwörter | Data Analysis; Theories; Social Science Research; Behavioral Science Research; Statistical Analysis |
Abstract | In this article, Regine Haardörfer outlines five general steps taken by good data analysts and how they need to be theory-driven data-informed. She uses these to discuss some issues and propose approaches to promote better data analysis and reporting. The proposed steps to rigorous data analysis are to: (1) create an a priori data analysis plan; (2) create an analytic sample; (3) conduct analyses according to the plan developed in Step 1; (4) perform additional analyses based on initial findings; and (5) write up findings communicating clearly which data analyses were a priori and which were added later. Add additional tables and findings to supplemental materials. In conclusion, Haardörfer emphasizes the need for conducting data analysis using a theory-driven data-informed analysis approach to advance social and behavioral science. (ERIC). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |