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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 4 results
Peer reviewed Peer reviewed
Betemps, Elizabeth J.; Smith, Richard M.; Baker, Dewleen G.; Rounds-Kugler, Barbara A. – Journal of Applied Measurement, 2003
Analyzed the Frequency and Intensity subscales of the Clinician Administered Posttraumatic Stress Disorder Scale (PTSD) separately using a Rasch rating scale model. The Frequency subscale produced measures that encompassed the level of severity found in the sample of 201 veterans. (SLD)
Descriptors: Measurement Techniques, Posttraumatic Stress Disorder, Rating Scales, Veterans
Peer reviewed Peer reviewed
Smith, Richard M.; Suh, Kyunghee K. – Journal of Applied Measurement, 2003
Studied the extent to which the INFIT and OUTFIT item fit statistics in WINSTEPS detect violations of the invariance property of Rasch measurement models. The analysis, based on a large number of high school students, shows that relying solely on INFIT and OUTFIT to assess model fit would cause the researcher to miss an important threat to…
Descriptors: Goodness of Fit, High School Students, High Schools, Item Response Theory
Peer reviewed Peer reviewed
Kramer, Gene A.; Smith, Richard M. – Journal of Applied Measurement, 2001
Examined the role that gender differences play in the determination of the components influencing the difficulty of spatial ability items. Results for 2,245 examinees taking a spatial ability test that is part of the Dental School Admission Battery show that component difficulties show little variation across gender. (SLD)
Descriptors: College Entrance Examinations, College Students, Dentists, Difficulty Level
Peer reviewed Peer reviewed
Smith, Richard M. – Journal of Applied Measurement, 2000
Explores the nature of fit and provides a historical overview of fit indices. Focuses on a family of fit indices based on the Pearsonian chi-square approach to fit to show why it is necessary to use a family of standardized indices to understand the relationship between the data and the model. (Author/SLD)
Descriptors: Chi Square, Goodness of Fit, Item Response Theory, Models