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DeMars, Christine E. – Journal of Educational Measurement, 2006
Four item response theory (IRT) models were compared using data from tests where multiple items were grouped into testlets focused on a common stimulus. In the bi-factor model each item was treated as a function of a primary trait plus a nuisance trait due to the testlet; in the testlet-effects model the slopes in the direction of the testlet…
Descriptors: Item Response Theory, Reliability, Item Analysis, Factor Analysis

Hunter, John E. – Journal of Educational Measurement, 1973
Using the notion of parallel items this paper presents a family of new criteria for cluster analysis. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis

Schwartz, Steven A. – Journal of Educational Measurement, 1978
A method for the construction of scales which combines the rational (or intuitive) approach with an empirical (item analysis) approach is presented. A step-by-step procedure is provided. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Measurement, Psychological Testing

Zwick, Rebecca – Journal of Educational Measurement, 1987
National Assessment of Educational Progress reading data were scaled using a unidimensional item response theory model. Bock's full-information factor analysis and Rosenbaum's test of unidimensionality were applied. Conclusions about unidimensionality for balanced incomplete block spiralled data were the same as for complete data. (Author/GDC)
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Mathematical Models

Bennett, Randy Elliot; And Others – Journal of Educational Measurement, 1989
Causes of differential item difficulty for blind students taking the braille edition of the Scholastic Aptitude Test's mathematical section were studied. Data for 261 blind students were compared with data for 8,015 non-handicapped students. Results show an association between selected item categories and differential item functioning. (TJH)
Descriptors: Braille, College Entrance Examinations, Comparative Analysis, Difficulty Level

Phillips, S. E.; Mehrens, William A. – Journal of Educational Measurement, 1987
This study investigates whether a linear factor analytic method commonly used to evaluate violation of the item response theory (IRT) unidimensionality assumption is sensitive to measurable curricular differences within a school district and to examine the possibility of differential item performance for groups of students receiving different…
Descriptors: Achievement Tests, Elementary Education, Elementary School Curriculum, Factor Analysis