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Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles
16 references·2 citing·43 second hop
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles (2021)Robustness of Latent Profile Analysis to …Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches (2017)Measurement Invariance Testin…Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration (2016)Covariates and Mixture Modeli…A person‐centered approach to commitment research: Theory, research, and methodology (2016)A person‐centered approach to…Multiple-Group Analysis of Similarity in Latent Profile Solutions (2015)Multiple-Group Analysis of Si…Disentangling Shape from Level Effects in Person-Centered Analyses: An Illustration Based on University Teachers’ Multidimensional Profiles of Effectiveness (2014)Disentangling Shape from Leve…Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis (2013)Statistical Power to Detect t…Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation (2013)Modeling Unobserved Heterogen…Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis (2013)Are Commitment Profiles Stabl…Detecting Mixtures From Structural Model Differences Using Latent Variable Mixture Modeling: A Comparison of Relative Model Fit Statistics (2007)Detecting Mixtures From Struc…Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)Deciding on the Number of Cla…Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood? (2006)Distinguishing Between Latent…Detecting differential item functioning with confirmatory factor analysis and item response theory: Toward a unified strategy. (2006)Detecting differential item f…Investigating population heterogeneity with factor mixture models. (2005)Investigating population hete…Latent Class Cluster Analysis (2002)Latent Class Cluster AnalysisRobustness Studies in Covariance Structure Modeling (1998)Robustness Studies in Covaria…Measurement Invariance, Factor Analysis and Factorial Invariance (1993)Measurement Invariance, Facto…User Personas for eHealth Regarding the Self-Management of Depressive Symptoms in People Living With HIV: Mixed Methods Study (2025)User Personas for eHealth Reg…Examining language learners’ GenAI-assisted writing self-efficacy profiles and the relationship with their writing self-regulated learning strategies (2025)Examining language learners’ …Statistical Theories of Mental Test Scores (1969)LISREL 7 : a guide to the program and applications (1989)Exploratory Structural Equation Modeling (2009)Applications of Item Response Theory To Practical Testing Problems (2012)Measurement invariance conventions and reporting: The state of the art and future directions for psychological research (2016)Testing measurement invariance of composites using partial least squares (2016)"General Intelligence," Objectively Determined and Measured (1904)Factor Analysis and AIC (1987)Putting the “Person” in the Center (2018)EQS : structural equations program manual (1989)Testing Structural Equation Models. (1994)The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. (1996)A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data (2014)Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit (2017)Introduction to structural equation modeling (2019)LISREL 7 : user's reference guide (1989)A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research (2000)Evaluating Model Fit With Ordered Categorical Data Within a Measurement Invariance Framework: A Comparison of Estimators (2014)IRT studies of many groups: the alignment method (2014)Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives (2022)Power analysis and determination of sample size for covariance structure modeling. (1996)Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers (2019)Latent profile analysis: A review and “how to” guide of its application within vocational behavior research (2020)Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls (2020)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling (2007)Identifying careless responses in survey data. (2012)Latent Class Analysis: A Guide to Best Practice (2020)Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. (1989)Sample size in factor analysis. (1999)A latent profile analysis of college students’ achievement goal orientation (2006)Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters (2007)A three-component conceptualization of organizational commitment (1991)Motivation profiles at work: A self-determination theory approach (2016)Modern Factor Analytic Techniques (2020)Latent Structure Analysis. (1969)Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models (1974)Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009)The impact of urbanization on CO2 emissions: Evidence from developing countries (2011)Examining the factor structure of the Self-Compassion Scale in 20 diverse samples: Support for use of a total score and six subscale scores. (2018)Changes to the work–family interface during the COVID-19 pandemic: Examining predictors and implications using latent transition analysis. (2020)Profiling teachers' readiness for online teaching and learning in higher education: Who's ready? (2020)
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References

  • 2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study11,376 cited
  • 1993Measurement Invariance, Factor Analysis and Factorial Invariance4,533 cited
  • 2013Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis1,986 cited
  • 2002Latent Class Cluster Analysis1,823 cited
  • 2005Investigating population heterogeneity with factor mixture models.1,146 cited
  • 1998Robustness Studies in Covariance Structure Modeling734 cited
  • 2015Multiple-Group Analysis of Similarity in Latent Profile Solutions660 cited
  • 2016A person‐centered approach to commitment research: Theory, research, and methodology487 cited
  • 2006Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood?461 cited
  • 2006Detecting differential item functioning with confirmatory factor analysis and item response theory: Toward a unified strategy.437 cited
  • 2007Detecting Mixtures From Structural Model Differences Using Latent Variable Mixture Modeling: A Comparison of Relative Model Fit Statistics429 cited
  • 2013Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation344 cited
  • 2014Disentangling Shape from Level Effects in Person-Centered Analyses: An Illustration Based on University Teachers’ Multidimensional Profiles of Effectiveness302 cited

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2016
Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration
282 cited
  • 2017Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches239 cited
  • 2013Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis216 cited
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    • 2025Examining language learners’ GenAI-assisted writing self-efficacy profiles and the relationship with their writing self-regulated learning strategies25 cited
    • 2025User Personas for eHealth Regarding the Self-Management of Depressive Symptoms in People Living With HIV: Mixed Methods Study2 cited