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Why Psychological Assessment Needs to Start Worrying About Model Fit · Study

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ArticleWhy Psychological Assessment Needs to Start Worrying About Model Fit

Samuel Greiff2017

Article2017

Why Psychological Assessment Needs to Start Worrying About Model Fit

Samuel Greiff · Moritz Heene

129 citations·0/0 files stored·European Journal of Psychological Assessment

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Psychometric Methodologies and Testing Psychological Testing and Assessment Mental Health Research Topics

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2012Principles and Practice of Structural Equation Modeling 1998Principles and Practice of Structural Equation Modeling 2004In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings 2009Reporting practices in confirmatory factor analysis: An overview and some recommendations.2008An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models 2003Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling 2003A contemplated revision of the NEO Five-Factor Inventory

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2022Because excellencism is more than good enough: On the need to distinguish the pursuit of excellence from the pursuit of perfection.2018Still Comparing Apples With Oranges?2022Dynamic fit index cutoffs for one-factor models 2021High‐involvement HRM and innovative behaviour: The mediating roles of nursing staff's autonomy and affective commitment

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Details

Year2017

Typearticle

Published2017-09-01

VenueEuropean Journal of Psychological Assessment

ISSN-L1015-5759

Languageen

Citations129

Files0 public / 0

ShelfPsychometric Methodologies and Testing

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doi10.1027/1015-5759/a000450

openalex_workW2766569743

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2024

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2024Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models

2020Dynamic Fit Index Cutoffs for Confirmatory Factor Analysis Models