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Zopluoglu, Cengiz; Davenport, Ernest C., Jr. – Practical Assessment, Research & Evaluation, 2017
The dimensionality of a set of items is important for scale development. In practice, tools that make use of eigenvalues are often used to assess dimensionality. Parallel analysis is featured here as it is becoming an increasingly popular method for assessing the number of dimensions, and computational tools have recently been made available which…
Descriptors: Correlation, Item Response Theory, Multidimensional Scaling, Factor Analysis
Bashir, Hilal; Bala, Ranjan – International Journal of Instruction, 2018
The purpose of the study was to develop a scale measuring academic dishonesty of undergraduate students. The sample of the study constitutes nine hundred undergraduate students selected via random sampling technique. After receiving expert's opinions for the face and content validity of the scale, the exploratory factor analysis (EFA) and…
Descriptors: Multidimensional Scaling, Ethics, Behavior Rating Scales, Undergraduate Students
Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2018
The psychometric properties of a new, multidimensional measure of test anxiety, the Test Anxiety Measure for College Students (TAM-C), were examined in a sample of 720 undergraduate students. Results of confirmatory factor analyses provided support for a six-factor (Cognitive Interference, Physiological Hyperarousal, Social Concerns,…
Descriptors: Psychometrics, Test Anxiety, College Students, Measures (Individuals)
Jang, Hyesuk – ProQuest LLC, 2014
This study aims to evaluate a multidimensional latent trait model to determine how well the model works in various empirical contexts. Contrary to the assumption of these latent trait models that the traits are normally distributed, situations in which the latent trait is not shaped with a normal distribution may occur (Sass et al, 2008; Woods…
Descriptors: Item Response Theory, Correlation, Multidimensional Scaling, Simulation
Balkis, Murat – Asia Pacific Journal of Education, 2018
The purpose of the current study is to examine the mediation role of academic achievement and absenteeism in the relationship between multidimensional amotivation and intention to school dropout among Turkish high school students. The results have shown that multidimensional amotivation has direct and indirect effects on intention to school…
Descriptors: Intention, Learning Motivation, Dropout Characteristics, Academic Achievement
Costa, Sebastiano; Ingoglia, Sonia; Inguglia, Cristiano; Liga, Francesca; Lo Coco, Alida; Larcan, Rosalba – Measurement and Evaluation in Counseling and Development, 2018
The purpose of this multistudy report was to adapt the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) to the Italian context. Two studies were conducted. In Study 1, we investigated the dimensionality, reliability, and convergent and discriminant validity of the instrument in a sample of 544 participants (males = 41%) from 16…
Descriptors: Psychological Needs, Psychometrics, Need Gratification, Gender Differences
Mazer, Joseph P.; Thompson, Blair – Communication Education, 2016
This study offers validity evidence for the Parental Academic Support Scale, a 16-item multidimensional measure that assesses support related to a child's academic performance, classroom behavior, preparation, hostile peer interactions, and health. Confirmatory factor analysis of the Parental Academic Support Scale (PASS) revealed a close model…
Descriptors: Multidimensional Scaling, Academic Achievement, Classroom Environment, Peer Relationship
Ho, Sammy K.; Chan, Edmund S. – Cogent Education, 2017
This study aims to investigate the psychometric properties of the revised multidimensional scale of perceived social support (R-MSPSS) for Chinese school teachers. A questionnaire comprising the R-MSPSS and other psychological measures was administered to a sample of 539 school teachers in Hong Kong. A series of confirmatory factor analysis was…
Descriptors: Multidimensional Scaling, Social Support Groups, Program Validation, Psychometrics
Forsman, Jonas; Linder, Cedric; Moll, Rachel; Fraser, Duncan; Andersson, Staffan – Studies in Higher Education, 2014
Complexity thinking is relatively new to education research and has rarely been used to examine complex issues in physics and engineering education. Issues in higher education such as student retention have been approached from a multiplicity of perspectives and are recognized as complex. The complex system of student retention modelling in higher…
Descriptors: School Holding Power, Models, Higher Education, Systems Approach
Strahan, Sarah; Credé, Marcus – Journal of College Student Retention: Research, Theory & Practice, 2015
Satisfaction with college is an important component of various theories of college student retention and academic performance but empirical support for the relationship of satisfaction with college with these two criteria has been mixed. Using data from two large datasets (N = 34,047 and N = 35,503) from 300 institutions we examine whether…
Descriptors: College Students, Student Attitudes, Academic Persistence, Academic Achievement
Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
Tian, Lin; Guan, Yanjun; Chen, Sylvia Xiaohua; Levin, Nimrod; Cai, Zijun; Chen, Pei; Zhu, Chengfeng; Fu, Ruchunyi; Wang, Yang; Zhang, Shu – Journal of Career Development, 2014
Two studies were conducted to validate the Chinese version of the Career Decision-Making Profiles (CDMP) questionnaire, a multidimensional measure of the way individuals make career decisions. Results of Study 1 showed that after dropping 1 item from the original CDMP scale, the 11-factor structure was supported among Chinese college students (N =…
Descriptors: College Students, Predictive Validity, Career Development, Decision Making
Sun, Xiang; Allison, Carrie; Auyeung, Bonnie; Matthews, Fiona E.; Norton, Samuel; Baron-Cohen, Simon; Brayne, Carol – Journal of Autism and Developmental Disorders, 2014
Limited studies have investigated the latent autistic traits in the mainland Chinese population for autism spectrum conditions (ASC). This study explored the psychometric properties of a Mandarin Chinese version of the CAST in a sample consisting of 737 children in mainstream schools and 50 autistic cases. A combination of categorical data factor…
Descriptors: Psychometrics, Mandarin Chinese, Autism, Pervasive Developmental Disorders
Moulding, Richard; Anglim, Jeromy; Nedeljkovic, Maja; Doron, Guy; Kyrios, Michael; Ayalon, Ariel – Assessment, 2011
The study aimed to examine the factor structure of the Obsessive Beliefs Questionnaire (OBQ), the most widely used measure of dysfunctional beliefs in obsessive-compulsive disorder (OCD). Multiple exploratory methods (exploratory factor analysis, cluster analysis by variable, multidimensional scaling) were used to examine the questionnaire.…
Descriptors: Questionnaires, Beliefs, Anxiety Disorders, Factor Structure
Fletcher, Thomas D.; Nusbaum, David N. – Educational and Psychological Measurement, 2010
Recent research suggests that competitive work environments may influence individual's attitudes, behaviors, stress, and performance. Unfortunately, adequate measures of competitive environments are lacking. This article traces the development of a new multidimensional competitive work environment scale. An initial 59-item pool covering five…
Descriptors: Competition, Work Environment, Measures (Individuals), Material Development