Research Article
Estimation of The Effect Size Meta Measurement Model with Generalized Method of Moments Approach
@INPROCEEDINGS{10.4108/eai.19-12-2020.2309129, author={Hary Suprihanto and Bambang Widjanarko Otok and Agus Suharsono}, title={Estimation of The Effect Size Meta Measurement Model with Generalized Method of Moments Approach}, proceedings={Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia}, publisher={EAI}, proceedings_a={AECON}, year={2021}, month={8}, keywords={effect size meta-anaysis measurement model gmm}, doi={10.4108/eai.19-12-2020.2309129} }
- Hary Suprihanto
Bambang Widjanarko Otok
Agus Suharsono
Year: 2021
Estimation of The Effect Size Meta Measurement Model with Generalized Method of Moments Approach
AECON
EAI
DOI: 10.4108/eai.19-12-2020.2309129
Abstract
Generalization of research results often cannot be made using only one finding, so a synthesis of several research results is needed to obtain an integrated conclusion. The synthesis of several research results through meta-analysis has developed in the study of Structural Equational Modeling (SEM), one of which is the measurement model. The aim of this study is to obtain an estimate of the effect size of the meta-analysis measurement model on the factors that measure the performance of regional drinking water companies. The data used is the performance data of regional drinking water companies in Java. The company's performance is measured based on four main criteria: financial, service, operational, and human resources. Measurement modeling and meta-analysis were carried out using software R. The estimation method used is the Generalized Method of Moments (GMM). The results of this analysis show that the model for performance assessment is a fit model. The model developed meets the requirements for the quality of the fit model, thereby confirming that financial, service, operational, and human resource indicators can be used to measure regional drinking water companies' performance in Java. Besides, through the combined effect size estimation, it can be concluded that human resource and finance is the most dominant indicator in measuring company performance.