dc.contributor.author | Sarstedt, Marko | de |
dc.contributor.author | Danks, Nicholas P. | de |
dc.date.accessioned | 2023-09-26T13:27:34Z | |
dc.date.available | 2023-09-26T13:27:34Z | |
dc.date.issued | 2022 | de |
dc.identifier.issn | 1748-8583 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/89318 | |
dc.description.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 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. | de |
dc.language | en | de |
dc.subject.ddc | Wirtschaft | de |
dc.subject.ddc | Economics | en |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | explanation; explanatory power; generalisability; prediction; predictive power; relevance; ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 | de |
dc.title | Prediction in HRM research - A gap between rhetoric and reality | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Human Resource Management Journal | |
dc.source.volume | 32 | de |
dc.publisher.country | GBR | de |
dc.source.issue | 2 | de |
dc.subject.classoz | Personalwesen | de |
dc.subject.classoz | Human Resources Management | en |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Erklärung | de |
dc.subject.thesoz | explanation | en |
dc.subject.thesoz | Prognose | de |
dc.subject.thesoz | prognosis | en |
dc.subject.thesoz | Relevanz | de |
dc.subject.thesoz | relevance | en |
dc.subject.thesoz | statistische Analyse | de |
dc.subject.thesoz | statistical analysis | en |
dc.subject.thesoz | Arbeitszufriedenheit | de |
dc.subject.thesoz | work satisfaction | en |
dc.subject.thesoz | Berufszufriedenheit | de |
dc.subject.thesoz | job satisfaction | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-89318-5 | |
dc.rights.licence | Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10042545 | |
internal.identifier.thesoz | 10036432 | |
internal.identifier.thesoz | 10056534 | |
internal.identifier.thesoz | 10035472 | |
internal.identifier.thesoz | 10036534 | |
internal.identifier.thesoz | 10038695 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 485-513 | de |
internal.identifier.classoz | 1090402 | |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 1919 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 330 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1111/1748-8583.12400 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 20 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
dc.subject.classhort | 10100 | de |
dc.subject.classhort | 10900 | de |
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internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |