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AN INVESTIGATION OF NON-INDEPENDENCE OF COMPONENTS OF SCORES ON MULTIPLE-CHOICE TESTS. FINAL REPORT.
ZIMMERMAN, DONALD W.; BURKHEIMER, GRAHAM J., JR. – 1968
INVESTIGATION IS CONTINUED INTO VARIOUS EFFECTS OF NON-INDEPENDENT ERROR INTRODUCED INTO MULTIPLE-CHOICE TEST SCORES AS A RESULT OF CHANCE GUESSING SUCCESS. A MODEL IS DEVELOPED IN WHICH THE CONCEPT OF THEORETICAL COMPONENTS OF SCORES IS NOT INTRODUCED AND IN WHICH, THEREFORE, NO ASSUMPTIONS REGARDING ANY RELATIONSHIP BETWEEN SUCH COMPONENTS NEED…
Descriptors: Computers, Item Analysis, Mathematical Models, Objective Tests
Langmuir, Charles R. – Test Service Bulletin, 1954
Cross-validation in relation to choosing the best tests and selecting the best items in tests is discussed. Cross-validation demonstrated whether a decision derived from one set of data is truly effective when this decision is applied to another independent, but relevant, sample of people. Cross-validation is particularly important after…
Descriptors: Bulletins, Item Analysis, Statistical Analysis, Test Selection
Krus, David J.; Bart, William M. – 1972
Presented is a method, derived from ordering theory, for the multidimensional scaling of dichotomous item data. The method is said to be related to the methodological multivariate extension of I. Guttman's scalogram analysis developed by C. Coombs and his students. An example is used to compare the data analytic results of the ordering theoretic…
Descriptors: Data Analysis, Item Analysis, Measurement Techniques, Statistical Analysis
Porter, D. Thomas – 1977
Critical to precise quantitative research is reliability estimation. Researchers have limited tools, however, to assess the reliability of evolving instruments. Consequently, cursory assessment is typical and in-depth evaluation is rare. This paper presents a rationale for and description of PIAS, a computerized instrument analysis system. PIAS…
Descriptors: Computer Programs, Item Analysis, Reliability, Statistical Analysis
Peer reviewedBart, William M. – Educational and Psychological Measurement, 1976
Some of the ramifications of the linear order assumption underlying much of measurement theory are discussed. Ordering theory is then described as an alternative deterministic measurement model that does not make the linear order assumption. (Author/RC)
Descriptors: Classification, Item Analysis, Measurement, Probability
Peer reviewedMcDonald, Roderick P. – Educational and Psychological Measurement, 1978
It is shown that if a behavior domain can be described by the common factor model with a finite number of factors, the squared correlation between the sum of a selection of items and the domain total score is actually greater than coefficient alpha. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Mathematical Models, Measurement
Peer reviewedRozeboom, William W. – Educational and Psychological Measurement, 1978
A strict equivalence presupposed by Kaiser and Michael to derive the coefficient of "domain validity" is defensible only as a biased approximation. But then, it is far from clear what psychometric significance this coefficient has in the first place. (Author)
Descriptors: Criterion Referenced Tests, Item Analysis, Item Banks, Test Validity
Peer reviewedShye, Samuel – Multivariate Behavioral Research, 1978
Facet technique is used to analyze contents of achievement motive questionnaire items proposed in recent years and to construct an explicit definition for achievement motive. (Author/JKS)
Descriptors: Academic Achievement, Achievement Need, Item Analysis, Motivation
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1977
The G index of agreement does not permit the use of various weights for its various items. The weighted G index described here, make it possible to use unequal weights. An example of the procedure is provided. (Author/JKS)
Descriptors: Correlation, Item Analysis, Multidimensional Scaling, Test Items
Peer reviewedSamejima, Fumiko – Psychometrika, 1977
A new concept of weakly parallel tests, in contrast to strongly parallel tests in latent trait theory, is proposed. Some criticisms of the fundamental concepts in classical test theory, such as the reliability of a test and the standard error of estimation, are given. (Author)
Descriptors: Item Analysis, Latent Trait Theory, Measurement, Test Construction
Peer reviewedKestenbaum, Joel M. – Journal of Personality Assessment, 1976
Subjects rated each item in Rotter's I-E Scale for its social desirability value. Social desirability scale values (SDSV) of paired items were compared with one another. Results indicate that paired items are not similar in their SDSV, thus enabling subjects to respond on the basis of social desirability. (Author/DEP)
Descriptors: Item Analysis, Locus of Control, Personality Measures, Social Values
Peer reviewedThorne, Frederick C. – Journal of Clinical Psychology, 1977
The Personal Development Study (PDS) is one of the eight subtests of the Integration Level Test Series, which objectively measures different hierarchical levels of factors that organize the integration of psychological states. The PDS consists of a 200-item questionnaire devised to discover whether Freudian mechanisms were operating across a wide…
Descriptors: Factor Analysis, Item Analysis, Measurement Instruments, Psychological Studies
Peer reviewedCook, Linda L.; And Others – Journal of Educational Statistics, 1988
First- and second-order factor analyses were conducted, using the LISREL model, on correlation matrices among item parcels of verbal items of the Scholastic Aptitude Test. Focus was on determining whether statistical dependence among item scores can be explained by a single ability dimension. Results suggest future research possibilities related…
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Verbal Tests
Peer reviewedDowney, Ronald G.; Stockdale, Margaret S. – Educational and Psychological Measurement, 1987
Lord's method for detecting subgroup bias at the item level uses a three-parameter item characteristic curve model. A chi square statistic is computed on the multivariate differences between the parameter estimates of item discrimination and difficulty. The LOGIST program and additional programs written in BASIC are used. (Author/GDC)
Descriptors: Computer Software, Item Analysis, Latent Trait Theory, Statistical Bias
Peer reviewedWainer, Howard – Journal of Educational Measurement, 1986
An example demonstrates and explains that summary statistics commonly used to measure test quality can be seriously misleading and that summary statistics for the whole test are not sufficient for judging the quality of the test. (Author/LMO)
Descriptors: Correlation, Item Analysis, Statistical Bias, Statistical Studies


