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Akaeze, Hope O.; Wu, Jamie Heng-Chieh; Lawrence, Frank R.; Weber, Everett P. – Journal of Psychoeducational Assessment, 2023
This paper reports an investigation into the psychometric properties of the COR-Advantage1.5 (COR-Adv1.5) assessment tool, a criterion-referenced observation-based instrument designed to assess the developmental abilities of children from birth through kindergarten. Using data from 8534 children participating in a state-funded preschool program…
Descriptors: Criterion Referenced Tests, Evaluation Methods, Measures (Individuals), Measurement Techniques
Carlos Rogério Montenegro de Lima; Thiago Coelho Soares; Maurício Andrade de Lima; Manoela Oliveira Veras; José Baltazar Salgueirinho Osório de Andrade Andrade Guerra – International Journal of Sustainability in Higher Education, 2020
Purpose: The purpose of this paper is to report a literature review on sustainability funding in higher education and an analysis of the theoretical influence on academic research. The theoretical contribution and the most influential authors were examined to better understand the intellectual structure that links the theories and authors that…
Descriptors: Sustainability, Higher Education, Educational Finance, Citation Analysis
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
Kim, Minkyung; Crossley, Scott A.; Kyle, Kristopher – Modern Language Journal, 2018
This study conceptualizes lexical sophistication as a multidimensional phenomenon by reducing numerous lexical features of lexical sophistication into 12 aggregated components (i.e., dimensions) via a principal component analysis approach. These components were then used to predict second language (L2) writing proficiency levels, holistic lexical…
Descriptors: Language Proficiency, Lexicology, Multidimensional Scaling, Language Acquisition
Markovitch, Noam; Luyckx, Koen; Klimstra, Theo; Abramson, Lior; Knafo-Noam, Ariel – Developmental Psychology, 2017
Identity formation is a key developmental task in adolescence. Although many adolescents in modern societies face issues of identity, there are substantial individual differences in identity exploration and commitment. Little is known about the origins of these individual differences. The current study investigated the genetic and environmental…
Descriptors: Early Adolescents, Identification (Psychology), Adolescent Development, Genetics
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)
Joo, Soohyung; Kipp, Margaret E. I. – Information Research: An International Electronic Journal, 2015
Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…
Descriptors: Web Sites, Library Science, Information Science, Multivariate Analysis
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
Cash, Ceilidh Barlow; Letargo, Jessa; Graether, Steffen P.; Jacobs, Shoshanah R. – CBE - Life Sciences Education, 2017
Large class learning is a reality that is not exclusive to the first-year experience at midsized, comprehensive universities; upper-year courses have similarly high enrollment, with many class sizes greater than 200 students. Research into the efficacy and deficiencies of large undergraduate classes has been ongoing for more than 100 years, with…
Descriptors: Large Group Instruction, Class Size, Biology, Teacher Attitudes
Hartwell, Matthew; Kaplan, Avi – Journal of Experimental Education, 2018
This paper presents findings from a two-phase mixed methods study investigating the phenomenological structure of self-relevance among ninth-grade junior high school biology students (Phase 1: N = 118; Phase 2: N = 139). We begin with a phenomenological multidimensional definition of self-relevance as comprising three dimensions: the academic…
Descriptors: Mixed Methods Research, Junior High School Students, Biology, Science Instruction
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
Mylonas, Kostas; Furnham, Adrian; Divale, William; Leblebici, Cigdem; Gondim, Sonia; Moniz, Angela; Grad, Hector; Alvaro, Jose Luis; Cretu, Romeo Zeno; Filus, Ania; Boski, Pawel – Educational and Psychological Measurement, 2014
Several sources of bias can plague research data and individual assessment. When cultural groups are considered, across or even within countries, it is essential that the constructs assessed and evaluated are as free as possible from any source of bias and specifically from bias caused due to culturally specific characteristics. Employing the…
Descriptors: Test Bias, Measures (Individuals), Unemployment, Adults
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
Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability