Measuring attitude does not end with data analysis but is the beginning of a way through which can increase the quality of attitudinal analysis and provide an opportunity to reduce measurement error. In this study, the difference between the classical test theory (CTT) and item response theory (IRT) in determining the psychometric properties of the data obtained from polling is studied. Before presenting the results of the analysis of these two theories, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were also used to evaluate constructing, validity and reliability of the tools. The subject of the study was actual data on the opinion polls of 3684 people from different groups about television programs. The findings show that both classical test theory and item response theory can provide similar information about the scale items of the latent feature under study. But the two measurement theories give different images of the accuracy of the scales. In general, item response theory offers both more information about measurement accuracy and clearer suggestions for scale improvement.
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
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