Comparing interval estimates for small sample ordinal CFA models.

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Evaluation of threshold selection methods for adaptive kernel density estimation in disease mapping.

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P2860

Comparing interval estimates for small sample ordinal CFA models.

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Comparing interval estimates for small sample ordinal CFA models.

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Comparing interval estimates for small sample ordinal CFA models.

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Comparing interval estimates for small sample ordinal CFA models.

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P1476

Comparing interval estimates for small sample ordinal CFA models.

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P2093

Prathiba Natesan

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P2860

Sampling-Based Approaches to Calculating Marginal Densities

Confirmatory Factor Analysis of Ordinal Variables With Misspecified Models

Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations.

Maximum likelihood analysis of a general latent variable model with hierarchically mixed data.

An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.

Inference by eye: confidence intervals and how to read pictures of data.

Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study.

Ridge structural equation modelling with correlation matrices for ordinal and continuous data.

The empirical coverage of confidence intervals: point estimates and confidence intervals for confidence levels.

Confidence intervals rather than P values: estimation rather than hypothesis testing.

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1599

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scholarly article

P356

10.3389/FPSYG.2015.01599

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English

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2015-10-30T00:00:00Z

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283975816

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26579002

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4626630

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Comparing interval estimates for small sample ordinal CFA models.

about

P2860

P2860

Comparing interval estimates for small sample ordinal CFA models.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P478

P577

P5875

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P478

P577

P5875

P698

P932