Classical Test Theory

2019 ◽  
pp. 29-39
Author(s):  
David Andrich ◽  
Ida Marais
Keyword(s):  
Classical Test Theory ◽  
Test Theory ◽  
Classical Test

scholarly journals Depressive and anxiety symptoms in refugees: Insights from classical test theory, item response theory and network analysis

2020 ◽  
Author(s):  
Pascal Schlechter ◽  
Paul O. Wilkinson ◽  
Judith Knausenberger ◽  
Katharina Wanninger ◽  
Svea Kamp ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Network Analysis ◽  
Item Response ◽  
Classical Test Theory ◽  
Anxiety Symptoms ◽  
Test Theory ◽  
Response Theory ◽  
Classical Test

scholarly journals The comparison of the scores obtained by Bayesian nonparametric model and classical test theory methods

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110283
Author(s):  
Meltem Yurtcu ◽  
Hülya Kelecioglu ◽  
Edward L Boone
Keyword(s):  
Classical Test Theory ◽  
Small Sample ◽  
Test Theory ◽  
Nonparametric Model ◽  
Bayesian Nonparametric ◽  
Test Equating ◽  
Classical Test ◽  
A Value ◽  
Item Functioning ◽  
The Individual

Bayesian Nonparametric (BNP) modelling can be used to obtain more detailed information in test equating studies and to increase the accuracy of equating by accounting for covariates. In this study, two covariates are included in the equating under the Bayes nonparametric model, one is continuous, and the other is discrete. Scores equated with this model were obtained for a single group design for a small group in the study. The equated scores obtained with the model were compared with the mean and linear equating methods in the Classical Test Theory. Considering the equated scores obtained from three different methods, it was found that the equated scores obtained with the BNP model produced a distribution closer to the target test. Even the classical methods will give a good result with the smallest error when using a small sample, making equating studies valuable. The inclusion of the covariates in the model in the classical test equating process is based on some assumptions and cannot be achieved especially using small groups. The BNP model will be more beneficial than using frequentist methods, regardless of this limitation. Information about booklets and variables can be obtained from the distributors and equated scores that obtained with the BNP model. In this case, it makes it possible to compare sub-categories. This can be expressed as indicating the presence of differential item functioning (DIF). Therefore, the BNP model can be used actively in test equating studies, and it provides an opportunity to examine the characteristics of the individual participants at the same time. Thus, it allows test equating even in a small sample and offers the opportunity to reach a value closer to the scores in the target test.

Psychometric properties of the Mastery Scale-Chinese version: Applying classical test theory and Rasch analysis

2013 ◽  
Vol 20 (6) ◽  
pp. 404-411 ◽  
Author(s):  
Yun-Ling Chen ◽  
Ping-Chuan Hsiung ◽  
Lyinn Chung ◽  
Shing-Chia Chen ◽  
Ay-Woan Pan
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Classical Test Theory ◽  
Chinese Version ◽  
Test Theory ◽  
Classical Test
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