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Distinguishing Constructs from Variables in Designing Research
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4610671
Author(s) Brendl, C. Miguel; Calder, Bobby J.; Tybout, Alice M.; Sternthal , Brian
Author(s) at UniBasel Brendl, C. Miguel
Year 2021
Title Distinguishing Constructs from Variables in Designing Research
Journal Journal of Consumer Psychology
Volume 31
Number 1
Pages / Article-Number 188-208
Keywords : constructs versus variables, theory versus effects, manipulation checks, mediation analysis, boundary conditions, applying research
Abstract Current research practices often conflate theoretical constructs and explanatory hypotheses with va riables and predicted effects, to the detriment of research progress. This has led to the use of procedu res such as manipulation checks, mediation analysis, and boundary conditions predicated on the i dea that matching constructs to variables is necessary to validate that a theory corresponds to an effect . An alternative perspective, Inference to the Best Explanation (IBE), calls for designing researc h to exploit the power of distinguishing constructs from variables, hypotheses from predict i ons, and theory from effects. IBE calls for stating hypotheses (Hs) about construct-to- constru ct relationships and, separately, the predictions (Ps) about variable-to-variable effects that are explai n ed by the hypotheses. In addition, articles should include disparate effects, a single explanation coverin g all studies, and a discussion of the use of the research in specific problem contexts. The applic a tion of IBE is illustrated with research investigating when judgments are based on a feeling about t h e ease of information retrieval versus the information content itself.
Publisher Wiley
ISSN/ISBN 1057-7408 ; 1532-7663
edoc-URL https://edoc.unibas.ch/86189/
Full Text on edoc No
Digital Object Identifier DOI 10.1002/jcpy.1204
ISI-Number WOS:000618078000017
Document type (ISI) Article
 
   

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02/05/2024