Publication Date
In 2025 | 42 |
Since 2024 | 165 |
Since 2021 (last 5 years) | 588 |
Since 2016 (last 10 years) | 1225 |
Since 2006 (last 20 years) | 2731 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Researchers | 169 |
Practitioners | 49 |
Teachers | 32 |
Administrators | 8 |
Policymakers | 8 |
Counselors | 4 |
Students | 4 |
Media Staff | 1 |
Location
Turkey | 172 |
Australia | 81 |
Canada | 79 |
China | 70 |
United States | 55 |
Germany | 43 |
Taiwan | 43 |
Japan | 40 |
United Kingdom | 38 |
Iran | 36 |
Spain | 33 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 1 |
Does not meet standards | 1 |

Hartnett, Rodney T. – Journal of Educational Measurement, 1971
Alternative scoring methods yield essentially the same information, including scale intercorrelations and validity. Reasons for preferring the traditional psychometric scoring technique are offered. (Author/AG)
Descriptors: College Environment, Comparative Analysis, Correlation, Item Analysis

Renzulli, Joseph S.; Shaw, Robert A. – Educational and Psychological Measurement, 1971
Descriptors: Achievement Tests, Item Analysis, Junior High Schools, Mathematics

Manosevitz, Martin – Journal of Consulting and Clinical Psychology, 1970
Descriptors: Behavior Patterns, Item Analysis, Personality Measures, Psychological Evaluation
Robinson, Lora; Seligman, Richard – J Educ Meas, 1969
Descriptors: Campuses, College Environment, Educational Environment, Item Analysis
Parker, George V. C.; Veldman, Donald J. – Educ Psychol Meas, 1969
Descriptors: Factor Analysis, Individual Characteristics, Item Analysis, Personality Assessment

Tatsuoka, Kikumi, K.; Tatsuoka, Maurice M. – Journal of Educational Statistics, 1982
Two indices for measuring the degree of conformity or consistency of an individual examinee's response pattern on a set of items are developed. The use of the indices for spotting aberrant response patterns of examinees is detailed. (Author/JKS)
Descriptors: Error of Measurement, Error Patterns, Goodness of Fit, Item Analysis

Unnithan, N. Prabha; Scheuble, Laurie K. – Teaching Sociology, 1983
A version of Tobin's framework for analyzing newspaper news items was used and evaluated in a college-level introductory sociology course. The results showed that students viewed the analysis assignment positively, increased their media consumption as a result of it, and found it a useful technique for applying sociological concepts. (Author/RM)
Descriptors: Educational Research, Higher Education, Introductory Courses, Item Analysis

Furnham, Adrian; Henderson, Monika – Journal of Clinical Psychology, 1982
Content analyzed four personality inventories, Eysenck Personality Questionnaire, Minnesota Multiphasic Personality Inventory, California Personality Inventory, and Edwards Personality Preference Schedule to determine whether each item in the four inventories contained situational, temporal, or comparative information. Wide differences appeared…
Descriptors: Behavior Patterns, Comparative Analysis, Data Analysis, Item Analysis

Flexser, Arthur J. – Psychological Review, 1981
Contingency analyses have been employed to assess the degree to which outcomes of successive tests of corresponding items deviate from stochastic independence. A method of adjusting contingency tables to remove the effects of subject and item inhomogeneities, is presented. The method represents a partial solution to the "Simpson's…
Descriptors: Correlation, Expectancy Tables, Goodness of Fit, Item Analysis

Terwilliger, James S.; Lele, Kaustubh – Journal of Educational Measurement, 1979
Different indices for the internal consistency, reproducibility, or homogeneity of a test are based upon highly similar conceptual frameworks. Illustrations are presented to demonstrate how the maximum and minimum values of KR20 are influenced by test difficulty and the shape of the distribution of test scores. (Author/CTM)
Descriptors: Difficulty Level, Item Analysis, Mathematical Formulas, Statistical Analysis

Brunk, H. D. – Psychometrika, 1981
Bayesian techniques are adapted to the estimation of stimulus-response curves. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental testing, and with estimation of a stimulus-response curve using data from a psychophysical experiment. (Author/JKS)
Descriptors: Bayesian Statistics, Item Analysis, Latent Trait Theory, Least Squares Statistics

Austin, Joe Dan – Psychometrika, 1981
On distractor-identification tests students mark as many distractors as possible on each test item. A grading scale is developed for this type testing. The score is optimal in that it yields an unbiased estimate of the student's score as if no guessing had occurred. (Author/JKS)
Descriptors: Guessing (Tests), Item Analysis, Measurement Techniques, Scoring Formulas

Smith, Jeffrey K. – Educational and Psychological Measurement, 1980
Weber contends that the use of Rasch analysis, principal components analysis, and classical test analysis shows that an instrument designed to measure a "bilevel dimensionality" in probability achievement measures a single latent trait. That interpretation and the use of Rasch and classical analysis to establish unidimensionality are…
Descriptors: Academic Achievement, Bayesian Statistics, Cognitive Processes, Item Analysis

Burkhart, Barry R.; And Others – Journal of Clinical Psychology, 1980
Obvious items were good predictors of all criteria; neutral items overlapped considerably with obvious items; and subtle items generally did not contribute uniquely to the prediction of any of the concurrent measures of depression. (Author)
Descriptors: Depression (Psychology), Item Analysis, Personality Measures, Predictive Validity

Plake, Barbara S.; Hoover, H. D. – Journal of Experimental Education, 1979
A follow-up technique is needed to identify items contributing to items-by-groups interaction when using an ANOVA procedure to examine a test for biased items. The method described includes distribution theory for assessing level of significance and is sensitive to items at all difficulty levels. (Author/GSK)
Descriptors: Analysis of Variance, Goodness of Fit, Item Analysis, Statistical Bias