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Kim, Yonghee; Loadman, William E. – Mid-Western Educational Researcher, 2006
The structural validity of the Ohio Ninth Grade Proficiency Test was investigated with the test scores of 713 eighth graders who had their first opportunity to take the test in March 1999 in a large urban school district in Ohio. The study examined a hypothetical structure of the test to determine its fit to the data. Confirmatory factor analysis…
Descriptors: Factor Structure, Achievement Tests, Factor Analysis, Grade 8
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Devins, David; Johnson, Steve – Education & Training, 2002
This paper draws on a telephone survey of 116 independent SMEs to explore the impact of a variety of training interventions on human resource (HR) practices and business performance in Great Britain. The paper investigates the extent to which targeting such interventions on the managers of SMEs affects the impact and the likelihood of changes in…
Descriptors: Small Businesses, Telephone Surveys, Foreign Countries, Intervention
Wang, Lin; And Others – 1995
Research in structured equation modeling (SEM) suggests that nonnormal data will invalidate chi-square tests and produce erroneous standard errors. However, much remains unknown about the extent to which, and the conditions under which nonnormal data can affect SEM application, especially when excessive skewness and kurtosis are present in data.…
Descriptors: Behavior Patterns, Chi Square, Children, Error of Measurement
Bergstrom, Betty A.; Gershon, Richard – 1992
The most useful method of item selection for making pass-fail decisions with a Computerized Adaptive Test (CAT) was studied. Medical technology students (n=86) took a computer adaptive test in which items were targeted to the ability of the examinee. The adaptive algorithm that selected items and estimated person measures used the Rasch model and…
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Computer Assisted Testing
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
In this study some alternative item selection criteria for adaptive testing are proposed. These criteria take into account the uncertainty of the ability estimates. A general weighted information criterion is suggested of which the usual maximum information criterion and the suggested alternative criteria are special cases. A simulation study was…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Drasgow, Fritz; Parsons, Charles K. – 1982
The effects of a multidimensional latent trait space on estimation of item and person parameters by the computer program LOGIST are examined. Several item pools were simulated that ranged from truly unidimensional to an inconsequential general latent trait. Item pools with intermediate levels of prepotency of the general latent trait were also…
Descriptors: Computer Simulation, Computer Software, Difficulty Level, Item Analysis
Embretson, Susan Whitely – 1982
Latent trait models are presented that can be used for test design in the context of a theory about the variables that underlie task performance. Examples of methods for decomposing and testing hypotheses about the theoretical variables in task performance are given. The methods can be used to determine the processing components that are involved…
Descriptors: Aptitude Tests, Difficulty Level, Estimation (Mathematics), Hypothesis Testing
Engelhard, George, Jr. – 1987
A method for obtaining curriculum-based estimates of student achievement is described. These estimates can be obtained through the use of a set of curriculum weights designed to reflect student opportunity to learn. If the match between the presented curriculum and test content is low, then the curriculum weights can be used to minimize potential…
Descriptors: Achievement Tests, Individual Testing, Mathematics Achievement, Mathematics Tests
Yen, Wendy M. – 1982
The three-parameter logistic model discussed was used by CTB/McGraw-Hill in the development of the Comprehensive Tests of Basic Skills, Form U (CTBS/U) and the Test of Cognitive Skills (TCS), published in the fall of 1981. The development, standardization, and scoring of the tests are described, particularly as these procedures were influenced by…
Descriptors: Achievement Tests, Bayesian Statistics, Cognitive Processes, Data Collection
Vale, C. David; And Others – 1981
A simulation study to determine appropriate linking methods for adaptive testing items was designed. Three basic data sets for responses were created. These were randomly sampled, systematically sampled, and selected data sets. The evaluative criteria used were fidelity of parameter estimation, asymptotic ability estimates, root-mean-square error…
Descriptors: Adaptive Testing, Aptitude Tests, Armed Forces, Bayesian Statistics
Rabinowitz, Stanley N.; Pruzek, Robert – 1978
Despite advances in common factor analysis, a review of 89 studies published in four selected journals between 1963 and 1976 indicated that behavioral scientists preferred principal components analysis, followed by varimax or orthogonal rotation. Resultant row sums of squares of factor matrices from principal component analyses of real data sets…
Descriptors: Bayesian Statistics, Comparative Analysis, Educational Research, Factor Analysis
Ban, Jae-Chun; Hanson, Bradley A.; Yi, Qing; Harris, Deborah J. – 2002
The purpose of this study was to compare and evaluate three online pretest item calibration/scaling methods in terms of item parameter recovery when the item responses to the pretest items in the pool would be sparse. The three methods considered were the marginal maximum likelihood estimate with one EM cycle (OEM) method, the marginal maximum…
Descriptors: Adaptive Testing, Computer Assisted Testing, Data Analysis, Error of Measurement
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Rost, Jurgen – Applied Psychological Measurement, 1988
A generalized Rasch model is presented for measuring attitudes; it is based on the concepts of Thurstone's method of successive intervals. Benefits of the model are illustrated with a study of students' (N=4,035 fifth through ninth graders) interest in physics. (SLD)
Descriptors: Attitude Measures, Children, Elementary Secondary Education, Equations (Mathematics)
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Cudeck, Robert; Browne, Michael W. – Psychometrika, 1992
A method is proposed for constructing a population covariance matrix as the sum of a particular model plus a nonstochastic residual matrix, with the stipulation that the model holds with a prespecified lack of fit. The procedure is considered promising for Monte Carlo studies. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Estimation (Mathematics), Factor Analysis
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Longford, N. T.; Muthen, B. O. – Psychometrika, 1992
A two-level model for factor analysis is defined, and formulas for a scoring algorithm for this model are derived. A simple noniterative method based on decomposition of total sums of the squares and cross-products is discussed and illustrated with simulated data and data from the Second International Mathematics Study. (SLD)
Descriptors: Algorithms, Cluster Analysis, Computer Simulation, Equations (Mathematics)
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