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Jones, W. Paul – Educational and Psychological Measurement, 2014
A study in a university clinic/laboratory investigated adaptive Bayesian scaling as a supplement to interpretation of scores on the Mini-IPIP. A "probability of belonging" in categories of low, medium, or high on each of the Big Five traits was calculated after each item response and continued until all items had been used or until a…
Descriptors: Personality Traits, Personality Measures, Bayesian Statistics, Clinics
Agus, Mirian; Penna, Maria Pietronilla; Peró-Cebollero, Maribel; Guàrdia-Olmos, Joan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Research on the graphical facilitation of probabilistic reasoning has been characterised by the effort expended to identify valid assessment tools. The authors developed an assessment instrument to compare reasoning performances when problems were presented in verbal-numerical and graphical-pictorial formats. A sample of undergraduate psychology…
Descriptors: Probability, Abstract Reasoning, Thinking Skills, Educational Assessment
Bartolucci, F.; Montanari, G. E.; Pandolfi, S. – Psychometrika, 2012
With reference to a questionnaire aimed at assessing the performance of Italian nursing homes on the basis of the health conditions of their patients, we investigate two relevant issues: dimensionality of the latent structure and discriminating power of the items composing the questionnaire. The approach is based on a multidimensional item…
Descriptors: Foreign Countries, Probability, Item Analysis, Test Items
Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1975
A new item analysis index, e, is derived as a function of difficulty and discrimination to represent item efficiency. (Author/RC)
Descriptors: Item Analysis, Probability, Response Style (Tests), Statistical Analysis
Peer reviewedGuttman, Louis – Psychometrika, 1971
Descriptors: Definitions, Item Analysis, Measurement, Multiple Regression Analysis
Hoffman, Richard J. – 1972
In this paper, a new item analysis index, e, is derived as a function of difficulty and discrimination to represent item efficiency. Item discrimination in this paper is not independent of item difficulty, and it is demonstrated algebraically that the maximum discriminating power of an item may be determined from its difficulty. Item efficiency is…
Descriptors: Evaluation Methods, Item Analysis, Mathematical Concepts, Probability
Peer reviewedBaker, Frank B. – Review of Educational Research, 1977
Recent advances in item analysis have provided greater capabilities for the analysis of tests, but have also significantly increased the gap between the theory and practice of item analysis. This paper traces the lines of development in item analysis under latent trait theory. (MV)
Descriptors: Correlation, Item Analysis, Latent Trait Theory, Mathematical Models
Saunders, D. R. – Educ Psychol Meas, 1970
Remarkability is introduced as a quantifiable attribute of given data and as a basis upon which one may rationally judge its scientific value. Applications of remarkability theory to various research and statistical problems and procedures are discussed. (DG)
Descriptors: Factor Analysis, Hypothesis Testing, Item Analysis, Multiple Regression Analysis
PDF pending restorationThissen, David M. – 1977
Few phenomena in psychology have been studied more than reaction time. However, while response latency now provides the basic data for research in many areas of cognitive psychology, little work has been done on the problem of incorporating response latency in the measurement of individual differences. A solution to this problem requires the…
Descriptors: Cognitive Ability, Cognitive Tests, Individual Differences, Item Analysis
HUSEK, T.R.; SIROTNIK, KEN – 1967
A DESCRIPTION IS GIVEN OF ITEM SAMPLING, OR "PSYCHOMETRIC-STATISTICAL INFERENCE," AN APPROACH TO GATHERING AND USING EDUCATIONAL DATA THAT ALLOWS STATISTICAL INFERENCES TO BE MADE SIMULTANEOUSLY WITH PSYCHOMETRIC INFERENCES. THIS IS A PROCEDURE IN WHICH BOTH PEOPLE AND ITEMS ARE SAMPLED AND THE DATA FROM A SAMPLE OF PEOPLE TAKING A SAMPLE OF ITEMS…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
Rentz, R. Robert; Bashaw, W. L. – 1976
To determine if Rasch Model procedures have any utility for equating pre-existing tests, data from the equating phase of the Anchor Test Study (ATS) were reanalyzed. This management report summarizes the work completed in the project, describes the differences in this project and that of the ATS, and presents recommendations and conclusions to the…
Descriptors: Elementary Education, Equated Scores, Item Analysis, Mathematical Models
Peer reviewedvan der Linden, Wim J. – Journal of Educational Statistics, 1978
Macready and Dayton introduced two probabilistic models for mastery assessment based on an idealistic all-or-none conception of mastery. Alternatively, an application of latent trait theory to mastery testing is proposed (a three parameter logistic model) as a more plausible model for test theory. (Author/CTM)
Descriptors: Criterion Referenced Tests, Guessing (Tests), Item Analysis, Latent Trait Theory
Brigman, S. Leellen; Bashaw, W. L. – 1976
Procedures are presented for equating simultaneously several tests which have been calibrated by the Rasch Model. Three multiple test equating designs are described. A Full Matrix Design equates each test to all others. A Chain Design links tests sequentially. A Vector Design equates one test to each of the other tests. For each design, the Rasch…
Descriptors: Ability, Achievement Tests, Computer Programs, Equated Scores
Bart, William M.; Airasian, Peter W. – 1976
The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Brennan, Robert L,; Lockwood, Robert E. – 1979
Procedures for determining cutting scores have been proposed by Angoff and by Nedelsky. Nedelsky's approach requires that a rater examine each distractor within a test item to determine the probability of a minimally competent examinee answering correctly; whereas Angoff uses a judgment based on the whole item, rather than each of its components.…
Descriptors: Achievement Tests, Comparative Analysis, Cutting Scores, Guessing (Tests)
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