TAN, Şeref Gazi University Ankara-Türkiye

Modified Models of Bentler and Woodward Model of Confirmatory Factor Analysis to Analysis of Covariance

19282

Analysis of covariance is a technique used to fix effects of covariates on dependent variables to test treatment effect in experimental studies. In the analysis of covariance it is assumed that covariates are measured perfectly reliable. The assumption of perfectly reliable covariates is almost impossible to meet. In reality, it is almost impossible to measure a covariate without error. In this study, a structural model suggested by Bentler and Woodward (1979) was modified both observed and latent and observed models for a reel data set. These modified models do not require perfectly reliable covariates. In these models the amount of errors in covariates are accounted for testing fit of models and significance of treatment effect.

269

Analysis of covariance , structural modeling , covariate , path analysis

Gazi University Journal Of Gazi Educational Faculty

32

300

2016