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Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items
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Zachary K. Collier; Minji Kong; Olushola Soyoye; Kamal Chawla; Ann M. Aviles; Yasser Payne – Journal of Educational and Behavioral Statistics, 2024
Asymmetric Likert-type items in research studies can present several challenges in data analysis, particularly concerning missing data. These items are often characterized by a skewed scaling, where either there is no neutral response option or an unequal number of possible positive and negative responses. The use of conventional techniques, such…
Descriptors: Likert Scales, Test Items, Item Analysis, Evaluation Methods
Imputation Methods to Deal with Missing Responses in Computerized Adaptive Multistage Testing
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Cetin-Berber, Dee Duygu; Sari, Halil Ibrahim; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2019
Routing examinees to modules based on their ability level is a very important aspect in computerized adaptive multistage testing. However, the presence of missing responses may complicate estimation of examinee ability, which may result in misrouting of individuals. Therefore, missing responses should be handled carefully. This study investigated…
Descriptors: Computer Assisted Testing, Adaptive Testing, Error of Measurement, Research Problems
Effect of Noise in the Three-Parameter Logistic Model.
Samejima, Fumiko – 1982
In a preceding research report, ONR/RR-82-1 (Information Loss Caused by Noise in Models for Dichotomous Items), observations were made on the effect of noise accommodated in different types of models on the dichotomous response level. In the present paper, focus is put upon the three-parameter logistic model, which is widely used among…
Descriptors: Estimation (Mathematics), Goodness of Fit, Guessing (Tests), Mathematical Models
Information Loss Caused by Noise in Models for Dichotomous Items.
Samejima, Fumiko – 1982
Because of the recent popularity of the three-parameter logistic model among the researchers who apply latent trait theory, it will be worthwhile to investigate the effect of noise accommodated in different models. In the present paper, four types of models on the dichotomous response level, Types A, B, C and D, are considered. Type A does not…
Descriptors: Adaptive Testing, Goodness of Fit, Latent Trait Theory, Mathematical Models
The Number of Factors in the 16PF: A Review of the Evidence with Special Emphasis on Methodological Problems.
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Cattell, Raymond B.; Krug, Samuel E. – Educational and Psychological Measurement, 1986
Critics have occasionally asserted that the number of factors in the 16PF tests is too large. This study discusses factor-analytic methodology and reviews more than 50 studies in the field. It concludes that the number of important primaries encapsulated in the series is no fewer than the stated number. (Author/JAZ)
Descriptors: Correlation, Cross Cultural Studies, Factor Analysis, Maximum Likelihood Statistics
Testing and Obtaining Fit of Data to the Rasch Model.
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Gustafsson, Jan-Eric – 1979
Problems and procedures in assessing and obtaining fit of data to the Rasch model are treated and assumptions embodied in the Rasch model are made explicit. It is concluded that statistical tests are needed which are sensitive to deviations so that more than one item parameter would be needed for each item, and more than one person parameter would…
Descriptors: Ability, Difficulty Level, Goodness of Fit, Item Analysis