A U-statistics-based approach for modeling Cronbach coefficient alpha within a longitudinal data setting-Reference-Cited by-同舟云学术

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A U-statistics-based approach for modeling Cronbach coefficient alpha within a longitudinal data setting

Published:2010-01-19 Issue:6 Volume:29 Page:659-670
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Yan Ma,Alejandro Gonzalez Della Valle,Hui Zhang,Tu X. M.

Funder

NIH

Center for Education and Research in Therapeutics

Clinical Translational Science Center

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.3853/fullpdf

Reference22 articles.

1. Alpha's standard error (ASE): an accurate and precise confidence interval estimate;Duhachek;Journal of Applied Psychology,2004

2. The approximate sampling distribution of the Kuder-Richardson reliability coefficient twenty;Feldt;Psychometrika,1965

3. A test of the hypothesis that Cronbach's alpha reliability coefficient is the same for two tests administered to the same sample;Feldt;Psychometrika,1980

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1. Rank-preserving regression: a more robust rank regression model against outliers;Statistics in Medicine;2016-03-02

2. Variable selection for distribution-free models for longitudinal zero-inflated count responses;Statistics in Medicine;2016-02-04

3. U-statistics with conditional kernels for incomplete data models;Annals of the Institute of Statistical Mathematics;2015-08-23

4. Functional response models for intraclass correlation coefficients;Journal of Applied Statistics;2014-06-09

5. Assessment of Diagnostic Tests and Instruments;Modern Clinical Trial Analysis;2012

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