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Showing 1 to 15 of 85 results Save | Export
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Fujimoto, Ken A.; Neugebauer, Sabina R. – Educational and Psychological Measurement, 2020
Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Factor Structure
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Hayduk, Leslie – Educational and Psychological Measurement, 2014
Researchers using factor analysis tend to dismiss the significant ill fit of factor models by presuming that if their factor model is close-to-fitting, it is probably close to being properly causally specified. Close fit may indeed result from a model being close to properly causally specified, but close-fitting factor models can also be seriously…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Structural Equation Models
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Schmitt, Thomas A.; Sass, Daniel A. – Educational and Psychological Measurement, 2011
Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…
Descriptors: Hypothesis Testing, Factor Analysis, Correlation, Criteria
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McDermott, Paul A.; Fantuzzo, John W.; Warley, Heather P.; Waterman, Clare; Angelo, Lauren E.; Gadsden, Vivian L.; Sekino, Yumiko – Educational and Psychological Measurement, 2011
Assessment of preschool learning behavior has become very popular as a mechanism to inform cognitive development and promote successful interventions. The most widely used measures offer sound predictions but distinguish only a few types of stylistic learning and lack sensitive growth detection. The Learning-to-Learn Scales was designed to…
Descriptors: Preschool Children, Measures (Individuals), Factor Analysis, Learning
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Brown, Allison R.; Finney, Sara J.; France, Megan K. – Educational and Psychological Measurement, 2011
The Hong Psychological Reactance Scale (HPRS) purports to measure reactance: a motivational state experienced when a behavioral freedom is threatened with elimination. To date, five studies have examined the psychometric properties of the HPRS, but reached different conclusions regarding its factor structure. The current study further investigated…
Descriptors: Measures (Individuals), Motivation, Psychometrics, Factor Structure
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Thompson, Barry L.; Green, Samuel B.; Yang, Yanyun – Educational and Psychological Measurement, 2010
The maximal split-half coefficient is computed by calculating all possible split-half reliability estimates for a scale and then choosing the maximal value as the reliability estimate. Osburn compared the maximal split-half coefficient with 10 other internal consistency estimates of reliability and concluded that it yielded the most consistently…
Descriptors: Reliability, Computation, Simulation, Statistical Analysis
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Wilkins, Jesse L. M. – Educational and Psychological Measurement, 2010
Quantitative literacy is a habit of mind that is characterized by the interrelationship among a person's everyday understanding of mathematics, his or her beliefs about mathematics, and his or her disposition toward mathematics. To assess quantitative literacy, it is important to devise measurement tools that provide valid and reliable information…
Descriptors: Numeracy, Factor Structure, Factor Analysis, High School Students
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Martin, Andrew J.; Malmberg, Lars-Erik; Liem, Gregory Arief D. – Educational and Psychological Measurement, 2010
Statistical biases associated with single-level analyses underscore the importance of partitioning variance/covariance matrices into individual and group levels. From a multilevel perspective based on data from 21,579 students in 58 high schools, the present study assesses the multilevel factor structure of motivation and engagement with a…
Descriptors: High School Students, Student Motivation, Learner Engagement, Measures (Individuals)
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Rowe, Ellen W.; Kim, Sangwon; Baker, Jean A.; Kamphaus, Randy W.; Horne, Arthur M. – Educational and Psychological Measurement, 2010
The purpose of this study was to examine the factor structure of an instrument developed to assess elementary students' individual perceptions of their classroom environments. The Student Personal Perception of Classroom Climate (SPPCC) originally consisted of six subscales adapted from previously published scales. Exploratory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Classroom Environment, Student Attitudes
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Teo, Timothy – Educational and Psychological Measurement, 2010
This article describes the development, validation, and measurement invariance of scores from a survey designed to measure preservice teachers' reported acceptance of technology. Drawing from conceptual models in the areas of information systems and technology acceptance, a five-factor Technology Acceptance Measure for Preservice Teachers (TAMPST)…
Descriptors: Preservice Teachers, Computer Attitudes, Attitude Measures, Test Validity
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Han, Kyunghee; Burns, Gary N.; Weed, Nathan C.; Hatchett, Gregory T.; Kurokawa, Nancy K. S. – Educational and Psychological Measurement, 2009
The present study evaluates a prospective observer form of the Coping Inventory for Stressful Situations (CISS) by comparing the two forms in terms of factor structure, mean differences, reliability, and examining correlations between self-report and peer ratings. A total of 163 pairs of friends complete the CISS and an observer form of the CISS.…
Descriptors: Coping, Measures (Individuals), Factor Structure, Reliability
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Guo, Boliang; Aveyard, Paul; Dai, Xiaoyang – Educational and Psychological Measurement, 2009
The Wechsler intelligence test has four factors representing four components of intellectual function. In China, there are marked cultural, educational, and economic disparities between rural and urban dwellers, which could lead to cultural bias. The aim of this study was to apply the four-factor structure to responses to the Chinese Intelligence…
Descriptors: Intelligence Tests, Young Children, Factor Structure, Measurement
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Ryser, Gail R.; Campbell, Hilary L.; Miller, Brian K. – Educational and Psychological Measurement, 2010
The diagnostic criteria for attention deficit hyperactivity disorder have evolved over time with current versions of the "Diagnostic and Statistical Manual", (4th edition), text revision, ("DSM-IV-TR") suggesting that two constellations of symptoms may be present alone or in combination. The SCALES instrument for diagnosing attention deficit…
Descriptors: Conceptual Tempo, Attention Deficit Hyperactivity Disorder, Factor Structure, Factor Analysis
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Liu, Ou Lydia; Minsky, Jennifer; Ling, Guangming; Kyllonen, Patrick – Educational and Psychological Measurement, 2009
In an effort to standardize academic application procedures, the authors developed the Standardized Letters of Recommendation (SLR) to capture important cognitive and noncognitive qualities of graduate school candidates. The SLR, which consists of seven scales, is applied to an intern-selection scenario. Both professor ratings (n = 414) during the…
Descriptors: Rating Scales, Reliability, Validity, Item Response Theory
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Gregg, Vernon H.; Shepherd, Alex J. – Educational and Psychological Measurement, 2009
This study examines the factor structure of scores on the Four Dimension Mood Scale (4DMS) developed by Huelsman, Nemanick, and Munz in response to criticisms of the Positive and Negative Affect Schedule. The results showed that the factor structure of 4DMS scores obtained with a sample of U.K. residents assessed for state affect corresponded…
Descriptors: Factor Structure, Measures (Individuals), Foreign Countries, Psychological Patterns
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