CONFIRMATORY FACTOR ANALYSIS FOR 4T1R MODEL AND ISLAMIC EDUCATION MANAGEMENT PRACTICES OF PEOPLE’S RELIGIOUS SCHOOL MANAGEMENT, SOUTHERN THAILAND

Abstract

Abstract: There are two ways to conduct Confirmatory Factor Analysis (CFA) using individual confirmatory factor analysis or group confirmatory factor analysis based on the measurement model. The number of items depends on the construct used in the study and the measurement model analysis is conducted separately if the number of items in the construct is more than four. Whereas pooled CFA runs all measurement models at the same time. This Unidimensionality requirement can be met through the item deletion procedure that has a low factor loading value to reach the set level of fitness indexes. Items with a factor loading value of less than 0.6 are considered unimportant to the measurement of the construct and can be discarded Chik, Abdullah, Ismail and Mohd Noor (2024). A total of 384 study samples were involved in this research. Data were analysed using the IBM-SPSS-AMOS (Structural Equation Modeling-SEM) program version 21.0. Adjustment tests were conducted to ensure that the tested indicators truly represent the construct being measured and Confirmatory Factor Analysis was conducted in this study as a prerequisite that must be met. The findings of the study show that all the correlations between the constructs 4T1R Model (based on Planning, Organize, Guiding, Surrender, Supervise), and Islamic Education Management Practices have a value less than 0.85 (<0.85) teachers People’s Religious School Management, Southern Thailand. The results of the combined confirmatory factor analysis of all measurement models (Pooled CFA), prove that all constructs do not have a strong relationship with each other to avoid the existence of multicollinearity problems.