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Taking Quantitative Data Analysis Out of the Positivist Era: Calling for Theory-Driven Data-Informed Analysis
Ist Teil von
Health education & behavior, 2019-08, Vol.46 (4), p.537-540
Ort / Verlag
Los Angeles, CA: Sage Publications, Inc
Erscheinungsjahr
2019
Link zum Volltext
Quelle
Applied Social Sciences Index & Abstracts (ASSIA)
Beschreibungen/Notizen
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.