Classical Test Theory and Factor Analysis

2020 ◽  
pp. 29-104
Author(s):  
Klaas Sijtsma ◽  
L. Andries van der Ark
Keyword(s):  
Factor Analysis ◽  
Classical Test Theory ◽  
Test Theory ◽  
Classical Test

The Children's Behavior Questionnaire very Short Scale: Psychometric Properties and Development of a One-Item Temperament Scale

2012 ◽  
Vol 110 (1) ◽  
pp. 197-217 ◽  
Author(s):  
Ester F. C. Sleddens ◽  
Sheryl O. Hughes ◽  
Teresia M. O'Connor ◽  
Alicia Beltran ◽  
Janice C. Baranowski ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response ◽  
Classical Test Theory ◽  
Test Theory ◽  
Item Response Modeling ◽  
Short Scale ◽  
Children's Behavior ◽  
Classical Test ◽  
Response Modeling ◽  
Item Scale

Little research has been conducted on the psychometrics of the very short scale (36 items) of the Children's Behavior Questionnaire, and no one-item temperament scale has been tested for use in applied work. In this study, 237 United States caregivers completed a survey to define their child's behavioral patterns (i.e., Surgency Negative Affectivity, Effortful Control) using both scales. Psychometrics of the 36-item Children's Behavior Questionnaire were examined using classical test theory, principal factor analysis, and item response modeling. Classical test theory analysis demonstrated adequate internal consistency and factor analysis confirmed a three-factor structure. Potential improvements to the measure were identified using item response modeling. A one-item (three response categories) temperament scale was validated against the three temperament factors of the 36-item scale. The temperament response categories correlated with the temperament factors of the 36-item scale, as expected. The one-item temperament scale may be applicable for clinical use.

scholarly journals Evaluating the MBTI® Form M in a South African context

2012 ◽  
Vol 38 (1) ◽  
Author(s):  
Casper J.J. Van Zyl ◽  
Nicola Taylor
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
South African ◽  
Quantitative Research ◽  
Classical Test Theory ◽  
Good Evidence ◽  
Test Theory ◽  
Cross Sectional ◽  
Classical Test ◽  
Gender Groups

Orientation: Psychological instruments require continued refinement, updating and evaluation.Research purpose: To investigate the reliability, validity and differential item functioning of the MBTI® Form M across groups in South Africa using Classical Test Theory (CTT) and Item Response Theory (IRT) methods.Motivation for the study: To add to the continual research and improvement of the MBTI® Form M through the investigation of its psychometric properties across groups in South Africa.Research design, approach and method: This study falls within the quantitative research paradigm. Classical test theory methods and Rasch analysis were used to evaluate the functioning of the MBTI Form M across gender and ethnic groups. A cross-sectional study was completed consisting of 10 705 South African respondents.Main findings: Excellent reliability was found for the instrument across groups in the sample. Good evidence for construct validity was found using exploratory factor analysis and confirmatory factor analysis. Some evidence for uniform bias was found across ethnic and gender groups and a few items reflected non-uniform DIF across gender groups only. The effect of uniform and non-uniform DIF did not appear to have major practical implications for the interpretation of the scales.Practical/managerial implications: The results provided evidence that supports the psychometric validity of the MBTI instrument in the South African context.Contribution/value-add: This study is the largest study to date regarding the psychometric functioning of the MBTI instrument in South Africa. It contributes to the evolution of the instrument in line with the legislative requirements concerning the use of psychometric tests in South Africa. 

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.

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