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People Performance Scales (PPS)

A multi‐company, cross‐sectional psychometric assessment

Bibliographic Data

ID21391794
AuthorsSimon Gottenborg (0000-0003-0787-5638, Department of Psychology Inland Norway University of Applied Sciences Lillehammer Norway), Thomas Hoff (EBHR AS Åsgårdstrand Norway), Leif Werner Rydstedt (0000-0001-7293-349X, University of Inland Norway), Leif Rydstedt (Department of Psychology Inland Norway University of Applied Sciences Lillehammer Norway), Kjell Ivar Øvergård (0000-0002-4029-4344, EBHR AS Åsgårdstrand Norway, corresponding author)
Year2022
Volume63
Issue2
Pages109-123
Publication date2022-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScandinavian Journal of Psychology (JOURNAL)
Journal identifiersISSN: 0036-5564 • E-ISSN: 1467-9450
PublisherWiley (PUBLISHER • GB)
DOI10.1111/sjop.12793
PMID35041212
OpenAlexW4205909234
LanguageEN
References cited51

This study aims to test the nomological validity of the People Performance Scales (PPS) using the job demands‐resources (JD‐R) model. All employees at two large companies in Norway (a governmental agency and a worker’s union) were invited to complete the PPS questionnaire electronically. A total of 2,469 respondents completed the questionnaire, resulting in an 87 percent response rate. Data was analyzed Structural Equation Modelling. First, all 15 scales included in the PPS showed excellent internal and construct validity. PPS was also found to have configural‐, construct‐level metric‐ and scale‐level metric invariance across age groups and genders. Second, findings indicate that the PPS can be used for both research and consultancy based upon the JD‐R model, while simultaneously assessing constructs of particular importance in Norwegian and Scandinavian legislation. The PPS represents a short and efficient questionnaire which measures the most relevant working environment constructs in a reliable and distinct way. The questionnaire has great psychometric characteristics and is well suited for use in organizations to measure employees' experience of working environment factors, allowing organizations to identify areas of improvement and to support organizational development

Agency (philosophy) · Construct (python library) · Construct validity · Metric (unit) · Nomological network · Norwegian · Operations management · Psychometrics · Scale (ratio) · Statistics · Structural equation modeling · Applied Psychology · Clinical Psychology · Computer Science · Engineering · Job Satisfaction and Organizational Behavior · Motivation and Self-Concept in Sports · Psychology · Social Psychology · Workplace Health and Well-being

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Highly citedNo
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