On the power of the test for cluster bias.

about

The Importance of Isomorphism for Conclusions about Homology: A Bayesian Multilevel Structural Equation Modeling Approach with Ordinal Indicators Reconsidering Cluster Bias in Multilevel Data: A Monte Carlo Comparison of Free and Constrained Baseline Approaches.

P2860

Q38709781-E385064C-DED5-4D47-A3FD-15924667A47F Q53836777-4451606E-B833-43B2-ADCD-B54FD1C2B694

P2860

On the power of the test for cluster bias.

Item

http://www.wikidata.org/entity/Q41208861

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年学术文章

@wuu

2015年学术文章

@zh-cn

2015年学术文章

@zh-hans

2015年学术文章

@zh-my

2015年学术文章

@zh-sg

2015年學術文章

@yue

2015年學術文章

@zh

2015年學術文章

@zh-hant

name

On the power of the test for cluster bias.

@en

type

Item

label

On the power of the test for cluster bias.

@en

prefLabel

On the power of the test for cluster bias.

@en

P1476

On the power of the test for cluster bias.

@en

P2093

Suzanne Jak

http://www.w3.org/2001/XMLSchema#string

P2860

Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: data from the Health Survey for England 1994.

Estimating Latent Variable Interactions With Non-Normal Observed Data: A Comparison of Four Approaches.

Mean and Covariance Structures (MACS) Analyses of Cross-Cultural Data: Practical and Theoretical Issues.

Testing strong factorial invariance using three-level structural equation modeling.

Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance.

A practical and theoretical guide to measurement invariance in aging research.

Are boys better off with male and girls with female teachers? A multilevel investigation of measurement invariance and gender match in teacher-student relationship quality.

Factorial invariance in multilevel confirmatory factor analysis.

Angoff's delta method revisited: improving DIF detection under small samples.

On the likelihood ratio test in structural equation modeling when parameters are subject to boundary constraints.

P304

434-455

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1111/BMSP.12053

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Frans J Oort

P577

2015-03-16T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

25776804

http://www.w3.org/2001/XMLSchema#string

P921

bias

On the power of the test for cluster bias.

about

P2860

P2860

On the power of the test for cluster bias.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921