Psychometric validation and measurement invariance of the Polish Multi-Affect Indicator across diverse demographic and occupational groups

The present study investigated the psychometric properties and validity of the Polish adaptation of the Multi-Affect Indicator (MAI), a scale designed to measure core affect at work. Specifically, we examined: (a) factor structure; (b) measurement invariance across sex, age, occupational group, and administration mode; (c) intergroup differences in work-related affective well-being; (d) internal, convergent, and discriminant validity; and (e) temporal stability. We conducted three studies with employee samples from diverse occupational sectors (N1 = 1,582; N2 = 326; N3 = 76). Results supported a correlated four-factor model consistent with the original MAI structure. In Study 1, the scale demonstrated scalar invariance across sex, age, and occupational groups, with strict invariance supported for sex and occupational group. In Study 2, the factor structure was replicated, and invariance analyses supported comparability across sex and occupational groups, although occupational-group results should be interpreted cautiously because some absolute-fit indices were elevated. The scale also achieved scalar invariance between the online Study 1 sample and the paper-and-pencil Study 2 sample. The Polish MAI demonstrated strong internal consistency, evidence of convergent and discriminant validity, and moderate one-week temporal stability. Overall, the results support the Polish MAI as a reliable and valid tool for assessing multidimensional affective well-being in occupational settings.

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Publication Details

Journal
Scientific Reports
Published
2026-05-29
DOI
https://doi.org/10.1038/s41598-026-54407-1
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Psychometric validation and measurement invariance of the Polish Multi-Affect Indicator across diverse demographic and occupational groups

Thomas Rigotti, Romuald Derbis, Arkadiusz M. Jasiński, Radosław Andrzej Dziedzic
Scientific Reports
Psychometric Methodologies and Testing
article

Psychometric validation and measurement invariance of the Polish Multi-Affect Indicator across diverse demographic and occupational groups

Thomas Rigotti, Romuald Derbis, Arkadiusz M. Jasiński, Radosław Andrzej Dziedzic
article en

Abstract

The present study investigated the psychometric properties and validity of the Polish adaptation of the Multi-Affect Indicator (MAI), a scale designed to measure core affect at work. Specifically, we examined: (a) factor structure; (b) measurement invariance across sex, age, occupational group, and administration mode; (c) intergroup differences in work-related affective well-being; (d) internal, convergent, and discriminant validity; and (e) temporal stability. We conducted three studies with employee samples from diverse occupational sectors (N1 = 1,582; N2 = 326; N3 = 76). Results supported a correlated four-factor model consistent with the original MAI structure. In Study 1, the scale demonstrated scalar invariance across sex, age, and occupational groups, with strict invariance supported for sex and occupational group. In Study 2, the factor structure was replicated, and invariance analyses supported comparability across sex and occupational groups, although occupational-group results should be interpreted cautiously because some absolute-fit indices were elevated. The scale also achieved scalar invariance between the online Study 1 sample and the paper-and-pencil Study 2 sample. The Polish MAI demonstrated strong internal consistency, evidence of convergent and discriminant validity, and moderate one-week temporal stability. Overall, the results support the Polish MAI as a reliable and valid tool for assessing multidimensional affective well-being in occupational settings.

Scientific Reports
Silesian University of Technology (PL), University of Opole (PL), Johannes Gutenberg University Mainz (DE), Leibniz Institute for Resilience Research (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE)
Narodowa Agencja Wymiany Akademickiej, Uniwersytet Opolski
Reduced inequalities
Openalex Percentile: Top 3%
Psychometric Methodologies and Testing
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