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Lee, Won-Chan; Ban, Jae-Chun – Applied Measurement in Education, 2010
Various applications of item response theory often require linking to achieve a common scale for item parameter estimates obtained from different groups. This article used a simulation to examine the relative performance of four different item response theory (IRT) linking procedures in a random groups equating design: concurrent calibration with…
Descriptors: Item Response Theory, Simulation, Comparative Analysis, Measurement Techniques
Yin, Alexander C.; Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
After surveying 1,827 students in their final year at eighty randomly selected two-year and four-year public and private institutions, American Institutes for Research (2006) reported that approximately 30 percent of students in two-year institutions and nearly 20 percent of students in four-year institutions have only basic quantitative…
Descriptors: Standardized Tests, Basic Skills, College Admission, Educational Testing
Nichols, Teresa M.; And Others – 1994
Validity evidence was determined for an instrument used at a state university to measure student perception of the institutionally stressed importance of various professional traits and his/her performance of these traits. Subjects were 87 preservice teachers at the end of student teaching. Scores from the institutionally stressed importance…
Descriptors: Correlation, Evaluation Methods, Higher Education, Measurement Techniques
Hoagland, Steven R. – Online Submission, 2006
Institutional accountability for performance and quality is an evolving topic with immeasurable appeal. Data and sources are abundant, but validated measures and meaningful information are scarce. While pursuing an approach centered on construct validity, this study transforms complex data into useful information. Correlation analysis reveals…
Descriptors: Graduation Rate, Reputation, Consumer Education, Graduation
Carlson, James E.; Spray, Judith A. – 1986
This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…
Descriptors: Cutting Scores, Data Analysis, Difficulty Level, Error of Measurement

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