Literature DB >> 29795917

Comparing Between- and Within-Group Variances in a Two-Level Study: A Latent Variable Modeling Approach to Evaluating Their Relationship.

Tenko Raykov1, George A Marcoulides2, Hope O Akaeze1.   

Abstract

This note is concerned with examining the relationship between within-group and between-group variances in two-level nested designs. A latent variable modeling approach is outlined that permits point and interval estimation of their ratio and allows their comparison in a multilevel study. The procedure can also be used to test various hypotheses about the discrepancy between these two variances and assist with their relationship interpretability in empirical investigations. The method can also be utilized as an addendum to point and interval estimation of the popular intraclass correlation coefficient in hierarchical designs. The discussed approach is illustrated with a numerical example.

Keywords:  between-group variance; confidence interval; hierarchical design; latent variable modeling; multilevel study; variance ratio; within-group variance

Year:  2016        PMID: 29795917      PMCID: PMC5965538          DOI: 10.1177/0013164416634166

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  2 in total

1.  Proportion of third-level variation in multi-level studies: A note on an interval estimation procedure.

Authors:  Tenko Raykov
Journal:  Br J Math Stat Psychol       Date:  2009-09-29       Impact factor: 3.380

2.  Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change.

Authors:  S W Raudenbush; L Xiao-Feng
Journal:  Psychol Methods       Date:  2001-12
  2 in total
  5 in total

1.  Examining Population Differences in Within-Person Variability in Longitudinal Designs Using Latent Variable Modeling: An Application to the Study of Cognitive Functioning of Older Adults.

Authors:  N Maritza Dowling; Tenko Raykov; George A Marcoulides
Journal:  Educ Psychol Meas       Date:  2018-02-23       Impact factor: 2.821

2.  Accounting for Differential Item Functioning Using Bayesian Approximate Measurement Invariance.

Authors:  Georgios D Sideridis; Ioannis Tsaousis; Abeer A Alamri
Journal:  Educ Psychol Meas       Date:  2019-12-04       Impact factor: 2.821

3.  An Application of Reliability Estimation in Longitudinal Designs Through Modeling Item-Specific Error Variance.

Authors:  Georgios D Sideridis; Ioannis Tsaousis; Abdullah Al-Sadaawi
Journal:  Educ Psychol Meas       Date:  2019-04-22       Impact factor: 2.821

4.  Design Effect in Multilevel Settings: A Commentary on a Latent Variable Modeling Procedure for Its Evaluation.

Authors:  Tenko Raykov; Christine DiStefano
Journal:  Educ Psychol Meas       Date:  2021-06-04       Impact factor: 3.088

5.  Transcend socioeconomic status constraints to mathematics and science achievement by collaborative problem-solving: The female people-smartness hypothesis.

Authors:  Mei-Shiu Chiu
Journal:  Front Psychol       Date:  2022-08-26
  5 in total

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