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Prediction in HRM research - A gap between rhetoric and reality
[Zeitschriftenartikel]
Abstract There are broadly two dimensions on which researchers can evaluate their statistical models: explanatory power and predictive power. Using data on job satisfaction in ageing workforces, we empirically highlight the importance of distinguishing between these two dimensions clearly by showing that a m... mehr
There are broadly two dimensions on which researchers can evaluate their statistical models: explanatory power and predictive power. Using data on job satisfaction in ageing workforces, we empirically highlight the importance of distinguishing between these two dimensions clearly by showing that a model with a certain degree of explanatory power can produce vastly different levels of predictive power and vice versa - in the same and different contexts. In a further step, we review all the papers published in three top-tier human resource management journals between 2014 and 2018 to show that researchers generally confuse explanation and prediction. Specifically, while almost all authors rely solely on explanatory power assessments (i.e., assessing whether the coefficients are significant and in the hypothesised direction), they also derive practical recommendations, which inherently result from a predictive scenario. Based on our results, we provide HRM researchers recommendations on how to improve the rigour of their explanatory studies.... weniger
Thesaurusschlagwörter
Erklärung; Prognose; Relevanz; statistische Analyse; Arbeitszufriedenheit; Berufszufriedenheit
Klassifikation
Personalwesen
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
explanation; explanatory power; generalisability; prediction; predictive power; relevance; ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015
Sprache Dokument
Englisch
Publikationsjahr
2022
Seitenangabe
S. 485-513
Zeitschriftentitel
Human Resource Management Journal, 32 (2022) 2
DOI
https://doi.org/10.1111/1748-8583.12400
ISSN
1748-8583
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0