Revisiting Sample Size and Number of Parameter Estimates: Some Support for the N:q Hypothesis
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- Type
- article
- Published
- 2003-01-01
- Cited by
- 1,172
- References
- 33
- OpenAlex
- https://openalex.org/W2012802483
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120675709
Keywords
Sample size determination, Statistics, Econometrics, Sample (material), Mathematics
References
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- Principles and Practice of Structural Equation Modeling
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- Power analysis and determination of sample size for covariance structure modeling.
- "How Big Is Big Enough?": Sample Size and Goodness of Fit in Structural Equation Models with Latent Variables.
- Model selection in covariance structures analysis and the "problem" of sample size: a clarification.
- Effects of Potential Confounding Factors on Fit Indices and Parameter Estimates for True and Misspecified SEM Models
- Assessing Sources of Error in Structural Equation Models: The Effects of Sample Size, Reliability, and Model Misspecification.
- Problems in the Measurement of Latent Variables in Structural Equations Causal Models
- Alternative Ways of Assessing Model Fit
- EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS
- Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size
- Practical Issues in Structural Modeling
- Affects of variable and subject sampling on factor pattern recovery.
- A reliability coefficient for maximum likelihood factor analysis
- Comparative fit indexes in structural models.
- The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis
- The Effects of Sampling Error and Model Characteristics on Parameter Estimation for Maximum Likelihood Confirmatory Factor Analysis.
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