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Rodgers, Derek B.; Reed, Deborah K.; Houchins, David E.; Aloe, Ariel M. – Journal of Educational Research, 2020
To better understand the writing skills of juvenile offenders and the components of their writing abilities, this study explored extant data from six measures of adolescents' writing skills administered upon their entrance into a juvenile justice facility. Overall, the 235 students (ages 13-16; Grades 5-11) exhibited low scores on all writing…
Descriptors: Writing Skills, Juvenile Justice, Correctional Institutions, Adolescents
Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics
Jennrich, Robert I.; Bentler, Peter M. – Psychometrika, 2012
Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…
Descriptors: Factor Structure, Factor Analysis, Models, Comparative Analysis
Grohmann, Anna; Kauffeld, Simone – International Journal of Training and Development, 2013
Psychometrically sound evaluation measures are vital for examining the contribution of professional training to organizational success in a reliable manner. As training evaluations tend to be both time-consuming and labor-intensive, there is an increasing demand for economic evaluation inventories. Simultaneously, evaluation measures have to meet…
Descriptors: Validity, Questionnaires, Psychometrics, Professional Training
Norris, Megan; Lecavalier, Luc; Edwards, Michael C. – Journal of Autism and Developmental Disorders, 2012
The current study tested several competing models of the autism phenotype using data from modules 1 and 3 of the ADOS. Participants included individuals with ASDs aged 3-18 years (N = 1,409) from the AGRE database. Confirmatory factor analyses were performed on total samples and subsamples based on age and level of functioning. Three primary…
Descriptors: Autism, Factor Structure, Symptoms (Individual Disorders), Pervasive Developmental Disorders
Perry, John L.; Clough, Peter J.; Crust, Lee; Nabb, Sam L.; Nicholls, Adam R. – Research Quarterly for Exercise and Sport, 2015
Purpose: A new measure of sportspersonship, which differentiates between compliance and principled approaches, was developed and initially validated in 3 studies. Method: Study 1 developed items, assessed content validity, and proposed a model. Study 2 tested the factorial validity of the model on an independent sample. Study 3 further tested the…
Descriptors: Program Development, Program Validation, Physical Education, Compliance (Legal)
Le, Dai-Trang – ProQuest LLC, 2013
In an effort to understand how school boards in America's K-12 school system function, a research collaboration was undertaken among four agencies: the National School Boards Association, the Thomas B. Fordham Institute, the Iowa Association of School Boards, and the Wallace Foundation. These groups joined effort to conduct research on school…
Descriptors: Item Response Theory, Models, Educational Research, Factor Structure
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
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
Carlisle, Joanne F.; Kelcey, Ben; Rosaen, Cheryl; Phelps, Geoffrey; Vereb, Anita – Journal of Education and Training Studies, 2013
This paper focuses on the development and study of a framework to provide direction and guidance for practicing teachers in using a web-based case studies program for professional development in early reading; the program is called Case Studies Reading Lessons (CSRL). The framework directs and guides teachers' analysis of reading instruction by…
Descriptors: Reading Instruction, Faculty Development, Case Method (Teaching Technique), Evaluation Methods
Lago, Rachel M.; DiPerna, James Clyde – School Psychology Review, 2010
Number sense skills provide the foundation for the acquisition of higher order mathematical skills and concepts. However, there is disagreement over the definition of number sense, the specific skills that make up the construct, and the psychometric properties of measures used to assess these skills. In the current study, 10 brief tasks…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Kindergarten
Vaughn, Brian E.; Shin, Nana; Kim, Mina; Coppola, Gabrielle; Krzysik, Lisa; Santos, Antonio J.; Peceguina, Ines; Daniel, Joao R.; Verissimo, Manuela; DeVries, Anthon; Elphick, Eric; Ballentina, Xiomara; Bost, Kelly K.; Newell, Wanda Y.; Miller, Ellaine B.; Snider, J. Blake; Korth, Byran – Child Development, 2009
The generality of a multilevel factorial model of social competence (SC) for preschool children was tested in a 5-group, multinational sample (N = 1,540) using confirmatory factor analysis. The model fits the observed data well, and tests constraining paths for measured variables to their respective first-order factors across samples also fit…
Descriptors: Factor Structure, Preschool Children, Factor Analysis, Interpersonal Competence
Kassam-Adams, Nancy; Marsac, Meghan L.; Cirilli, Carla – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: To examine the factor structure of posttraumatic stress disorder (PTSD) symptoms in children and adolescents who have experienced an acute single-incident trauma, associations between PTSD symptom clusters and functional impairment, and the specificity of PTSD symptoms in relation to depression and general distress. Method: Examined…
Descriptors: Models, Posttraumatic Stress Disorder, Factor Structure, Factor Analysis
Ng, Kok-Mun; Wang, Chuang; Kim, Do-Hong; Bodenhorn, Nancy – Educational and Psychological Measurement, 2010
The authors investigated the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale on international students. Via confirmatory factor analysis, the authors tested the fit of the models reported by Schutte et al. and five other studies to data from 640 international students in the United States. Results show that…
Descriptors: Emotional Intelligence, Factor Structure, Measures (Individuals), Factor Analysis
Rausch, Joseph R. – Applied Psychological Measurement, 2009
The investigation of change in factor structure over time can provide new opportunities for the development of theory in psychology. The method proposed to investigate change in intraindividual factor structure over time is an extension of P-technique factor analysis, in which the P-technique factor model is fit within relatively small windows of…
Descriptors: Monte Carlo Methods, Factor Structure, Factor Analysis, Item Response Theory
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