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Showing 1 to 15 of 17 results Save | Export
McGill, Ryan J.; Dombrowski, Stefan C. – Communique, 2017
Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…
Descriptors: Factor Analysis, School Psychology, Psychometrics, Predictor Variables
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Balkin, Richard S. – Measurement and Evaluation in Counseling and Development, 2017
An overview of standards related to demonstrating evidence regarding relationships with criteria as it pertains to instrument development was presented, along with heuristic examples. Additional measures and a comprehensive design are necessary to establish evidence related to the use and interpretation of test scores for the validation of a…
Descriptors: Evidence, Academic Standards, Test Construction, Evaluation Criteria
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Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
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Porter, Andrew C.; Polikoff, Morgan S. – Educational Policy, 2012
Recent years have seen increased attention to the high school-college transition. Students are enrolling in college in record numbers, yet they are also taking increasing numbers of remedial courses. How to measure and report on academic readiness for college is an important policy issue receiving attention from the National Assessment Governing…
Descriptors: College Readiness, Learning Readiness, Educational Policy, High School Graduates
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Fredricks, Jennifer; McColskey, Wendy; Meli, Jane; Mordica, Joy; Montrosse, Bianca; Mooney, Kathleen – Regional Educational Laboratory Southeast, 2011
Researchers, educators, and policymakers are focusing more on student engagement as the key to addressing low achievement, student boredom and alienation, and high dropout rates (Fredricks, Blumenfeld, and Paris 2004). As schools and districts seek to increase engagement, it is important for them to understand how it has been defined and to assess…
Descriptors: Learner Engagement, Psychometrics, Identification, Measures (Individuals)
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Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction
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Graber, Kim C.; Erwin, Heather; Woods, Amelia Mays; Rhoades, Jesse; Zhu, Weimo – Measurement in Physical Education and Exercise Science, 2011
Physical education teacher education faculty are responsible for educating the next generation of teachers. Despite their significant role, little is known about their characteristics, work preferences, or role responsibilities. The last comprehensive study undertaken to examine these variables was conducted approximately 25 years ago by Metzler…
Descriptors: Teacher Education, Physical Education, Profiles, Psychometrics
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Bauer, Daniel J. – Psychometrika, 2009
When using linear models for cluster-correlated or longitudinal data, a common modeling practice is to begin by fitting a relatively simple model and then to increase the model complexity in steps. New predictors might be added to the model, or a more complex covariance structure might be specified for the observations. When fitting models for…
Descriptors: Goodness of Fit, Computation, Models, Predictor Variables
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Gresham, Frank M.; Vellutino, Frank R. – Learning Disabilities Research & Practice, 2010
A fundamental assumption in the identification of specific learning disabilities (SLD) has been that the presence of a severe discrepancy between ability and academic achievement is a valid marker for the presence of a SLD. This assumption is based on the notion that discrepant low achievers constitute a unique group of children who are different…
Descriptors: Reading Difficulties, Intelligence Quotient, Learning Disabilities, Low Achievement
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English, Kim; Retzlaff, Paul; Kleinsasser, Dennis – Journal of Child Sexual Abuse, 2002
Documents the development of an adult sex offender risk assessment tool. A risk scale was developed based upon criminal and therapeutic outcomes of 494 sex offenders. The final risk scale included prior juvenile felony convictions, prior adult felony convictions, victim being intoxicated, denial in therapy, sexual deviance in therapy, and…
Descriptors: Delinquency, Outcomes of Treatment, Predictor Variables, Psychometrics
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Mezzich, Ada C.; Tarter, Ralph E.; Giancola, Peter R.; Kirisci, Levent – Journal of Child and Adolescent Substance Abuse, 2001
Evidence indicates that psychological dysregulation is an integral component of the liability for substance use disorder (SUD). This report discusses the rationale underlying the Dysregulation Inventory (DI), methods employed in item selection and scale construction, and preliminary results regarding psychometric properties. Results indicate that…
Descriptors: At Risk Persons, Emotional Response, Etiology, Evaluation Methods
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Rocci, Roberto; Vichi, Maurizio – Psychometrika, 2005
A new methodology is proposed for the simultaneous reduction of units, variables, and occasions of a three-mode data set. Units are partitioned into a reduced number of classes, while, simultaneously, components for variables and occasions accounting for the largest common information for the classification are identified. The model is a…
Descriptors: Factor Analysis, Classification, Least Squares Statistics, Monte Carlo Methods
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Schulte, Ann C.; Easton, Julia E.; Parker, Justin – School Psychology Review, 2009
Documenting treatment integrity is an important issue in research and practice in any discipline concerned with prevention and intervention. However, consensus concerning the dimensions of treatment integrity and how they should be measured has yet to emerge. Advances from three areas in which significant treatment integrity work has taken…
Descriptors: Substance Abuse, Prevention, Outcomes of Treatment, School Psychology
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Larzelere, Robert E.; Andersen, Jamie J.; Ringle, Jay L.; Jorgensen, Dan D. – Death Studies, 2004
This study documents the initial reliability and validity of the Child Suicide Risk Assessment (CSRA) for children under the age of 13. The revised CSRA retained 18 of 20 original items based on item-specific psychometric data from 140 pre-adolescents in out-of-home treatment programs. The CSRA demonstrated adequate internal consistency (alpha =…
Descriptors: Psychometrics, Depression (Psychology), Suicide, Predictor Variables
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Alon, Sigal – Research in Higher Education, 2005
The focus of the paper is the development of a novel conceptual framework that aims to remedy a critical mis-specification in prior research on the impact of financial aid on academic outcomes: the blending of the effect of aid eligibility with the influence of aid amounts on academic outcomes. To assess the impact of aid amounts received on…
Descriptors: Student Financial Aid, Outcomes of Education, Graduation, Predictor Variables
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