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Allamong, Betty D.; Hendrix, Jon R. – 1975
Discussed are the objectives of two introductory college biology courses for majors and how well these objectives were fulfilled. Examples of instructional objectives are given, along with sample test items. A description is given of the item analysis applied to the test items, followed by a discussion of how the test items measured whether or not…
Descriptors: Accountability, Biology, College Science, Educational Objectives
Peer reviewed Peer reviewed
Hsu, Louis M. – Educational and Psychological Measurement, 1978
The problem of determining the significance level which should be used in statistical tests of item validity in order to minimize type I errors is discussed. (Author/JKS)
Descriptors: Hypothesis Testing, Item Analysis, Power (Statistics), Statistical Significance
Peer reviewed Peer reviewed
Andrulis, Richard S.; And Others – Educational and Psychological Measurement, 1978
The effects of repeaters (testees included in both administrations of two forms of a test) on the test equating process are examined. It is shown that repeaters do effect test equating and tend to lower the cutoff point for passing the test. (JKS)
Descriptors: Cutting Scores, Equated Scores, Item Analysis, Scoring
Peer reviewed Peer reviewed
Baker, Frank B.; Hubert, Lawrence J. – Journal of Educational Statistics, 1977
Given a set of dichotomously scored items, ordering theory attempts to identify a hierarchy among those items. A graphic representation is presented for an empirically obtained hierarchy and a testing procedure to evaluate hypothesized hierarchical relationships. (Author/JKS)
Descriptors: Cluster Analysis, Graphs, Hypothesis Testing, Item Analysis
Peer reviewed Peer reviewed
Bligh, Thomas J.; Noe, Michael J. – Educational and Psychological Measurement, 1977
A computer program for scoring written simulation tests provides individual scores and basic item analysis data. The program is written in Fortran IV and can accomodate up to thirty-five hundred options and up to ten thousand examinees. (Author/JKS)
Descriptors: Computer Oriented Programs, Item Analysis, Medical Education, Problem Solving
Peer reviewed Peer reviewed
Hansford, B. C.; Neidhart, H. – British Journal of Educational Psychology, 1977
Using 463 fifteen year old girls from five girls' schools in the metropolitan area of Sydney, this study examines four aspects of the Junior Eysenck Personality Inventory that has been subject to criticism, namely the terminology used in certain JEPI items, item response rate ceilings, factorial structure of the inventory, and the relationship…
Descriptors: Educational Psychology, Factor Analysis, Item Analysis, Measurement Instruments
Peer reviewed Peer reviewed
Tollefson, Nona – Educational and Psychological Measurement, 1987
This study compared the item difficulty, item discrimination, and test reliability of three forms of multiple-choice items: (1) one correct answer; (2) "none of the above" as a foil; and (3) "none of the above" as the correct answer. Twelve items in the three formats were administered in a college statistics examination. (BS)
Descriptors: Difficulty Level, Higher Education, Item Analysis, Multiple Choice Tests
Peer reviewed Peer reviewed
Rosenbaum, Paul R. – Psychometrika, 1987
This paper develops and applies three nonparametric comparisons of the shapes of two item characteristic surfaces: (1) proportional latent odds; (2) uniform relative difficulty; and (3) item sensitivity. A method is presented for comparing the relative shapes of two item characteristic curves in two examinee populations who were administered an…
Descriptors: Comparative Analysis, Computer Simulation, Difficulty Level, Item Analysis
Peer reviewed Peer reviewed
Lane, David S., Jr.; And Others – Educational and Psychological Measurement, 1987
The effects of statistical and cognitive difficulty ordering of test items, gender, and explicit labeling of item type on college students' test performance were assessed. A total of 137 male and 265 female undergraduates were administered two 40-item multiple choice tests. Results indicate significant effects for gender and use of labels, but…
Descriptors: Achievement Tests, Difficulty Level, Item Analysis, Multiple Choice Tests
Peer reviewed Peer reviewed
Yen, Wendy M. – Psychometrika, 1985
An approximate relationship is devised between the unidimensional model used in data analysis and a multidimensional model hypothesized to be generating the item responses. Scale shrinkage is successfully predicted for several sets of simulated data. (Author/LMO)
Descriptors: Difficulty Level, Hypothesis Testing, Item Analysis, Latent Trait Theory
Peer reviewed Peer reviewed
Bernstein, Ira H.; And Others – Multivariate Behavioral Research, 1986
A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)
Descriptors: College Students, Correlation, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
de Leeuw, Jan; Verhelst, Norman – Journal of Educational Statistics, 1986
Maximum likelihood procedures are presented for a general model to unify the various models and techniques that have been proposed for item analysis. Unconditional maximum likelihood estimation, proposed by Wright and Haberman, and conditional maximum likelihood estimation, proposed by Rasch and Andersen, are shown as important special cases. (JAZ)
Descriptors: Algorithms, Estimation (Mathematics), Item Analysis, Latent Trait Theory
Peer reviewed Peer reviewed
Muthen, Bengt; Lehman, James – Journal of Educational Statistics, 1985
The applicability of a new multiple-group factor analysis of dichotomous variables is shown and contrasted with the item response theory approach to item bias analysis. Situations are considered where the same set of test items has been administered to more than one group of examinees. (Author/BS).
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Mathematical Models
Cantwell, Zita M. – Evaluation News, 1985
The wording and structure of questionnaire items can interact with specified sample categories based on evaluation goals and respondent characteristics. The effects of the interactions can restructure samples and introduce bias into the data analysis. These effects, and suggestions for avoiding them, are demonstrated for five types of…
Descriptors: Higher Education, Item Analysis, Questionnaires, Statistical Bias
Peer reviewed Peer reviewed
Guralnick, Michael J.; Weinhouse, Ellen – Exceptional Children, 1983
Analysis of 621 peer-peer items in the zero to six year age range from 54 assessment tests revealed such results as that over one-third of the items featured social participation, and that problems were found with the tests' ability to identify peer-peer deficits and to provide a framework for intervention. (MC)
Descriptors: Disabilities, Disability Identification, Early Childhood Education, Interpersonal Competence
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