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Kogar, Hakan – International Journal of Assessment Tools in Education, 2018
The aim of this simulation study, determine the relationship between true latent scores and estimated latent scores by including various control variables and different statistical models. The study also aimed to compare the statistical models and determine the effects of different distribution types, response formats and sample sizes on latent…
Descriptors: Simulation, Context Effect, Computation, Statistical Analysis
Li, Feifei – ETS Research Report Series, 2017
An information-correction method for testlet-based tests is introduced. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional conditional-independence IRT model is specified for a testlet dataset. By…
Descriptors: Item Response Theory, Generalizability Theory, Tests, Error of Measurement
Schoen, Robert C.; Liu, Sicong; Yang, Xiaotong; Paek, Insu – Grantee Submission, 2017
The Early Fractions Test is a paper-pencil test designed to measure mathematics achievement of third- and fourth-grade students in the domain of fractions. The purpose, or intended use, of the Early Fractions Test is to serve as a student pretest covariate and a test of baseline equivalence in the larger study. In this report, we discuss our…
Descriptors: Mathematics Achievement, Fractions, Mathematics Tests, Grade 3
Stugart, Melissa – ProQuest LLC, 2016
Our nation is in the midst of one of the largest education reforms in decades centered on the adoption of the Common Core State Standards (CCSS) and aligned assessments. In an era of rising accountability measures and declining literacy proficiency, it is vital to ensure that educational resources, such as benchmark assessments, are appropriately…
Descriptors: Common Core State Standards, Benchmarking, Educational Assessment, Test Items
Cress, Cynthia J.; Lambert, Matthew C.; Epstein, Michael H. – Journal of Early Intervention, 2014
The Preschool Behavioral and Emotional Rating Scale (PreBERS) is an assessment of emotional and behavioral strengths in preschoolers with well-established reliability and validity for educational and clinical application in children with and without disabilities. The present study provides further evidence of psychometric rigor for items and…
Descriptors: Preschool Children, Rating Scales, Child Behavior, Behavior Problems
Yoon, So Yoon – ProQuest LLC, 2011
Working under classical test theory (CTT) and item response theory (IRT) frameworks, this study investigated psychometric properties of the Revised Purdue Spatial Visualization Tests: Visualization of Rotations (Revised PSVT:R). The original version, the PSVT:R was designed by Guay (1976) to measure spatial visualization ability in…
Descriptors: Undergraduate Students, Test Bias, Guessing (Tests), Construct Validity

Reynolds, Thomas J. – Educational and Psychological Measurement, 1981
Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Item Analysis

Cattell, Raymond B.; Krug, Samuel E. – Educational and Psychological Measurement, 1986
Critics have occasionally asserted that the number of factors in the 16PF tests is too large. This study discusses factor-analytic methodology and reviews more than 50 studies in the field. It concludes that the number of important primaries encapsulated in the series is no fewer than the stated number. (Author/JAZ)
Descriptors: Correlation, Cross Cultural Studies, Factor Analysis, Maximum Likelihood Statistics

Harrison, David A. – Journal of Educational Statistics, 1986
Multidimensional item response data were created. The strength of a general factor, the number of common factors, the distribution of items loadingon common factors, and the number of items in simulated tests were manipulated. LOGIST effectively recovered both item and trait parameters in nearly all of the experimental conditions. (Author/JAZ)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Correlation
Thompson, Bruce; Borrello, Gloria M. – 1987
Attitude measures frequently produce distributions of item scores that attenuate interitem correlations and thus also distort findings regarding the factor structure underlying the items. An actual data set involving 260 adult subjects' responses to 55 items on the Love Relationships Scale is employed to illustrate empirical methods for…
Descriptors: Adults, Analysis of Covariance, Attitude Measures, Correlation
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement