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Yoo, Jin Eun – Educational and Psychological Measurement, 2009
This Monte Carlo study investigates the beneficiary effect of including auxiliary variables during estimation of confirmatory factor analysis models with multiple imputation. Specifically, it examines the influence of sample size, missing rates, missingness mechanism combinations, missingness types (linear or convex), and the absence or presence…
Descriptors: Monte Carlo Methods, Research Methodology, Test Validity, Factor Analysis
Mueller, Karsten; Liebig, Christian; Hattrup, Keith – Educational and Psychological Measurement, 2007
Two quasi-experimental field studies were conducted to evaluate the psychometric equivalence of computerized and paper-and-pencil job satisfaction measures. The present research extends previous work in the area by providing better control of common threats to validity in quasi-experimental research on test mode effects and by evaluating a more…
Descriptors: Psychometrics, Field Studies, Job Satisfaction, Computer Assisted Testing
Kong, Xiaojing J.; Wise, Steven L.; Bhola, Dennison S. – Educational and Psychological Measurement, 2007
This study compared four methods for setting item response time thresholds to differentiate rapid-guessing behavior from solution behavior. Thresholds were either (a) common for all test items, (b) based on item surface features such as the amount of reading required, (c) based on visually inspecting response time frequency distributions, or (d)…
Descriptors: Test Items, Reaction Time, Timed Tests, Item Response Theory

Johnson, Craig W. – Educational and Psychological Measurement, 1986
A simple quasi-experimental design is described which may have utility in a variety of applied and laboratory research settings where ordinarily the one-group pretest-posttest pre-experimental design might otherwise be the procedure of choice. The design approaches the internal validity of true experimental designs while optimizing external…
Descriptors: Analysis of Variance, Pretests Posttests, Quasiexperimental Design, Research Design

Gross, Alan L.; Kagen, Edward – Educational and Psychological Measurement, 1983
This paper compares an uncorrected with a corrected correlation between a selection test and a test-criterion in terms of expected mean square error (EMSE). It presents evidence that although the uncorrected may be more biased than the corrected correlation, it may have a smaller EMSE value, especially in small samples. (Author/PN)
Descriptors: Competitive Selection, Correlation, Error of Measurement, Research Methodology

Khattab, Ali-Maher; And Others – Educational and Psychological Measurement, 1982
A causal modeling system, using confirmatory maximum likelihood factor analysis with the LISREL IV computer program, evaluated the construct validity underlying the higher order factor structure of a given correlation matrix of 46 structure-of-intellect tests emphasizing the product of transformations. (Author/PN)
Descriptors: Cognitive Measurement, Cognitive Processes, Factor Analysis, Intelligence Tests

Kerlinger, Fred N. – Educational and Psychological Measurement, 1972
The theoretical expectations of duality of attitude structure and comparative lack of bipolarity have now been found using both R and Q methodologies. (Author)
Descriptors: Attitude Measures, Data Analysis, Factor Analysis, Factor Structure
Feldt, Leonard S. – Educational and Psychological Measurement, 2005
To meet the requirements of the No Child Left Behind Act, school districts and states must compile summary reports of the levels of student achievement in reading and mathematics. The levels are to be described in broad categories: "basic and below," "proficient," or "advanced." Educational units are given considerable latitude in defining the…
Descriptors: Federal Legislation, Academic Achievement, Test Items, Test Validity

Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1992
The utility of combining confirmatory factor analysis and second-order methods is illustrated in a study of responses of 487 undergraduate and graduate students to the love instrument of C. Hendrick and S. Hendrick. Second-order confirmatory methods allow the researcher to explore complex realities more thoroughly. (SLD)
Descriptors: Affective Measures, College Students, Error of Measurement, Heuristics

Raju, Nambury S.; Normand, Jacques – Educational and Psychological Measurement, 1985
The Regression Model, popular in selection bias research, is proposed for use in item bias detection, providing a common framework for both types of bias. An empirical test of this new method, now called the Regression Bias method, and a comparison with other commonly used item bias detection methods are presented. (Author/BS)
Descriptors: Achievement Tests, Intermediate Grades, Item Analysis, Junior High Schools

Edmundson, Elizabeth W.; And Others – Educational and Psychological Measurement, 1993
The development and tryout of an instrument designed to measure college students' attitudes toward alcohol demonstrate the utility of Guttman's facet analysis for developing and validating instruments. Findings from the survey, administered to 1,049 students, support the construct validity of the instrument. (SLD)
Descriptors: Attitude Measures, College Students, Construct Validity, Content Validity

Abedi, Jamal; Baker, Eva L. – Educational and Psychological Measurement, 1995
Results from a performance assessment in which 68 high school students wrote essays support the use of latent variable modeling for estimating reliability, concurrent validity, and generalizability of a scoring rubric. The latent variable modeling approach overcomes the limitations of certain conventional statistical techniques in handling…
Descriptors: Criteria, Essays, Estimation (Mathematics), Generalizability Theory