Evaluating the Klontz Money Script Inventory-Revised (KMSI-R): Factorial Validity, Internal Consistency, and Measurement Invariance with a Diverse Sample

Abstract The Klontz Money Script Inventory-Revised (KMSI-R) is a widely used scale that assesses individuals’ money scripts or beliefs. Money scripts have been used by professionals to help consumers avoid or navigate negative money behaviors. Financial measurements, such as the KMSI-R, are helpful when they can be applied to a diverse range of consumers. However, previous studies assessing the reliability and validity of the KMSI-R have largely used White samples. This study examines the factorial validity, internal consistency (i.e., reliability), and measurement invariance of the KMSI-R using a diverse sample of respondents. Using a proprietary dataset with a final sample of 2686 respondents, the authors found that the measurement’s internal consistency was reasonable for all items ( $$\underline{\upalpha}=.863$$ ). However, factorial validity was not supported, with poor fit indices for the four-factor model (X 2 (458) = 3912.96, RMSEA = .053, CFI = .762, TLI = .742). Improvements in fit were observed after removing items with low loadings and applying theoretically relevant modifications (X 2 (96) = 610.249, RMSEA = .045, CFI = .930, TLI = .912). Measurement invariance across racial and ethnic groups was not supported. The findings suggest that the KMSI-R needs significant revision before it can be used with diverse populations. We recommend that further research explore why factorial validity and measurement invariance were not supported.

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Publication Details

Journal
Journal of Family and Economic Issues
Published
2025-09-27
DOI
https://doi.org/10.1007/s10834-025-10055-7
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
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article

Evaluating the Klontz Money Script Inventory-Revised (KMSI-R): Factorial Validity, Internal Consistency, and Measurement Invariance with a Diverse Sample

Miranda Reiter, Kimberly Watkins, Jesse B. Jurgenson, Dee Warmath et al.
Journal of Family and Economic Issues
Financial Literacy, Pension, Retirement Analysis
article

Evaluating the Klontz Money Script Inventory-Revised (KMSI-R): Factorial Validity, Internal Consistency, and Measurement Invariance with a Diverse Sample

Miranda Reiter, Kimberly Watkins, Jesse B. Jurgenson, Dee Warmath, Megan McCoy, Kenneth J. White
article en

Abstract

Abstract The Klontz Money Script Inventory-Revised (KMSI-R) is a widely used scale that assesses individuals’ money scripts or beliefs. Money scripts have been used by professionals to help consumers avoid or navigate negative money behaviors. Financial measurements, such as the KMSI-R, are helpful when they can be applied to a diverse range of consumers. However, previous studies assessing the reliability and validity of the KMSI-R have largely used White samples. This study examines the factorial validity, internal consistency (i.e., reliability), and measurement invariance of the KMSI-R using a diverse sample of respondents. Using a proprietary dataset with a final sample of 2686 respondents, the authors found that the measurement’s internal consistency was reasonable for all items ( $$\underline{\upalpha}=.863$$ ). However, factorial validity was not supported, with poor fit indices for the four-factor model (X 2 (458) = 3912.96, RMSEA = .053, CFI = .762, TLI = .742). Improvements in fit were observed after removing items with low loadings and applying theoretically relevant modifications (X 2 (96) = 610.249, RMSEA = .045, CFI = .930, TLI = .912). Measurement invariance across racial and ethnic groups was not supported. The findings suggest that the KMSI-R needs significant revision before it can be used with diverse populations. We recommend that further research explore why factorial validity and measurement invariance were not supported.

Journal of Family and Economic Issues
Texas Tech University (US), University of Arizona (US), University of Georgia (US), Kansas State University (US)
Openalex Percentile: Top 62%
Financial Literacy, Pension, Retirement Analysis
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