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Analysis of Contingency Tables Involving Multiple-Response Data.

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

A FACTOR ANALYSIS OF STUDENT "EXPLANATIONS" OF THEIR CHOICE OF A COLLEGE.

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HOLLAND, JOHN L.; RICHARDS, JAMES M., JR. – 1965

THE EXPLANATIONS GIVEN BY 8,292 HIGH SCHOOL STUDENTS OF THEIR CHOICE OF COLLEGES WAS EXAMINED TO DETERMINE IF THE INFLUENCES OF THESE CHOICES COULD BE ORGANIZED INTO CATEGORIES. USING A THREE POINT SCALE, THE STUDENTS RATED 27 ITEMS ON THE STUDENT PROFILE SECTION OF THE AMERICAN COLLEGE TESTING BATTERY. THE ITEMS PERTAINED TO INFLUENCES AND WERE…

Descriptors: College Admission, College Choice, Counseling, Educational Research

The Discriminating Power of Items that Measure More than One Dimension.

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Reckase, Mark D. – 1986

The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…

Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis