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Showing 1 to 15 of 22 results Save | Export
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McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
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Arnold, Rachel; Fletcher, David – Measurement in Physical Education and Exercise Science, 2012
Organizational stressors can potentially elicit a number of undesirable consequences for sport performers. It is, therefore, imperative that psychologists better understand the demands that athletes encounter via their exploration and assessment. However, although researchers have identified a wide range of organizational stressors in competitive…
Descriptors: Athletes, Measures (Individuals), Psychometrics, Stress Variables
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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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Murphy, Daniel L.; Beretvas, S. Natasha; Pituch, Keenan A. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This simulation study examined the performance of the curve-of-factors model (COFM) when autocorrelation and growth processes were present in the first-level factor structure. In addition to the standard curve-of factors growth model, 2 new models were examined: one COFM that included a first-order autoregressive autocorrelation parameter, and a…
Descriptors: Sample Size, Simulation, Factor Structure, Statistical Analysis
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Schalet, Benjamin D.; Durbin, C. Emily; Revelle, William – Psychological Assessment, 2011
The structure of the Hypomanic Personality Scale was explored in a sample of young adults (N = 884); resulting structures were validated on subsamples with measures of personality traits, internalizing symptoms, and externalizing behaviors. Hierarchical cluster analysis and estimates of general factor saturation suggested the presence of a weak…
Descriptors: Mental Disorders, Personality Measures, Young Adults, Validity
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Iadova, M. A. – Russian Education and Society, 2013
A survey of students in secondary schools in Russia shows that among young people both traditional and modern sets of attitudes and beliefs may be found, but that these differences do not necessarily translate into actions. (Contains 1 table and 1 note.)
Descriptors: Foreign Countries, Secondary School Students, Student Surveys, Adolescent Attitudes
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Socha, Alan; Cooper, Christopher A.; McCord, David M. – Psychological Assessment, 2010
Goldberg's International Personality Item Pool (IPIP; Goldberg, 1999) provides researchers with public-domain, free-access personality measurement scales that are proxies of well-established published scales. One of the more commonly used IPIP sets employs 50 items to measure the 5 broad domains of the 5-factor model, with 10 items per factor. The…
Descriptors: Construct Validity, Reliability, Personality Measures, Personality
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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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Abramowitz, Jonathan S.; Deacon, Brett J.; Olatunji, Bunmi O.; Wheaton, Michael G.; Berman, Noah C.; Losardo, Diane; Timpano, Kiara R.; McGrath, Patrick B.; Riemann, Bradley C.; Adams, Thomas; Bjorgvinsson, Throstur; Storch, Eric A.; Hale, Lisa R. – Psychological Assessment, 2010
Although several measures of obsessive-compulsive (OC) symptoms exist, most are limited in that they are not consistent with the most recent empirical findings on the nature and dimensional structure of obsessions and compulsions. In the present research, the authors developed and evaluated a measure called the Dimensional Obsessive-Compulsive…
Descriptors: Validity, Reliability, Factor Structure, Measures (Individuals)
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Jones-Farmer, L. Allison – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…
Descriptors: Factor Structure, Factor Analysis, Evaluation Research, Goodness of Fit
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Canivez, Gary L.; Sprouls, Katie – Journal of Psychoeducational Assessment, 2010
Replication of the Adjustment Scales for Children and Adolescents (ASCA) core syndrome factor structure with a sample of 124 randomly selected Hispanic/Latino youths is reported. The six ASCA core syndromes produced the identical two-factor solution observed in other samples. Principal-axis exploratory factor analysis using multiple factor…
Descriptors: Factor Structure, Psychopathology, Adolescents, Factor Analysis
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Olatunji, Bunmi O.; Sawchuk, Craig N.; Moretz, Melanie W.; David, Bieke; Armstrong, Thomas; Ciesielski, Bethany G. – Psychological Assessment, 2010
The present investigation examined the factor structure and psychometric properties of the Injection Phobia Scale-Anxiety (IPS-Anx). Principal components analysis of IPS-Anx items in Study 1 (n = 498) revealed a 2-factor structure consisting of Distal Fear and Contact Fear. However, CFA results in Study 2 (n = 567) suggest that a 1-factor…
Descriptors: Test Validity, Efficiency, Factor Structure, Measures (Individuals)
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Pazos, Pilar; Micari, Marina; Light, Gregory – Assessment & Evaluation in Higher Education, 2010
Collaborative learning is being used extensively by educators at all levels. Peer-led team learning in a version of collaborative learning that has shown consistent success in science, technology, engineering and mathematics disciplines. Using a multi-phase research study we describe the development of an observation instrument that can be used to…
Descriptors: Cooperative Learning, Peer Teaching, Classification, Group Dynamics
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Nelson, Judith A.; Bustamante, Rebecca M.; Wilson, Eric D.; Onwuegbuzie, Anthony J. – Professional School Counseling, 2008
This study was designed to assess the (score) construct-related validity of an instrument called the School-Wide Cultural Competence Observation Checklist (SCCOC). The instrument was developed to use as a tool in conducting culture audits as a means of assessing school-wide cultural competence, or how well a school's programs, policies, and…
Descriptors: Check Lists, Observation, Reliability, Factor Structure
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Dunlap, William P.; Cornwell, John M. – Multivariate Behavioral Research, 1994
The fundamental problems that ipsative measures impose for factor analysis are shown analytically. Normative and ipsative correlation matrices are used to show that the factor pattern induced by ipsativity will overwhelm any factor structure seen with normative factor analysis, making factor analysis not interpretable. (SLD)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
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