Bootstrapping goodness-of-fit measures in structural equation models.
Abstract
Assessing overall fit is a topic of keen interest to structural equation modelers, yet measuring goodness of fit has been hampered by several factors. First, the assumptions that underlie the chi-square tests of model fit often are violated. Second, many fit measures (e.g., Bentler and Bonett's [1980] normed fit index) have unknown statistical distributions so that hypothesis testing, confidence intervals, or comparisons of significant differences in these fit indices are not possible. Finally, modelers have little knowledge about the distribution and behavior of the fit measures for misspecified models or for nonnested models. Given this situation, bootstrapping techniques would appear to be an ideal means to tackle these problems. Indeed, Bentler's (1989) EQS 3.0 and Jöreskog and Sörbom's (forthcoming) LISREL 8 have bootstrap resampling options to bootstrap fit indices. In this article the authors (a) demonstrate that the usual bootstrapping methods will fail when applied to the original data, (b) explain why this occurs, and, (c) propose a modified bootstrap method for the chi-square test statistic for model fit. They include simulated and empirical examples to illustrate their results.
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The Bollen-Stine value (p = 0.001) suggested a poor fit, but this result might have been affected by the large sample size.
“The Bollen-Stine value (p = 0.001) suggested a poor fit (p > 0.05 according to Bollen and Stine, 1992), but this result might have been affected by the large sample size.”
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Efron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033 · see citing works
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- Authors
- Bollen, K. A., & Stine, R. A.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- University of Pennsylvania (US)
- ORCID
- Bollen, Kenneth A.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 1992-11
- Volume
- 21
- Issue
- 2
- Pages
- 205-229
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2030630447
- Cited by
- 1,831
- References
- 1
- Citations by year
- 2026: 124 · 2025: 117 · 2024: 94 · 2023: 114 · 2022: 143 · 2021: 124 · 2020: 105 · 2019: 84 · 2018: 82 · 2017: 71 · 2016: 75 · 2015: 79 · 2014: 87 · 2013: 72 · 2012: 72
- FWCI
- 5.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sociological Methods & Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- structural equation modeling, goodness-of-fit measures, bootstrapping, model misspecification, EQS, LISREL
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