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Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Cian, Heidi – Electronic Journal for Research in Science & Mathematics Education, 2020
Socioscientific issues, issues that center on the intersection between scientific and social problems in real-world contexts, are valuable tools to use in science instruction due to their association with gains in scientific literacy, argumentation skills, and content knowledge. However, due to their complex nature, crafting instruction using…
Descriptors: Science and Society, Social Problems, Science Instruction, Prior Learning
Lambriex-Schmitz, Peggy; Van der Klink, Marcel R.; Beausaert, Simon; Bijker, Monique; Segers, Mien – Vocations and Learning, 2020
Our study aims to develop and validate a multidimensional Innovative Work Behaviour instrument to measure teachers IWB. Current IWB conceptualizations and operationalizations need further attention. Existing measurements miss empirical evidence of the construct validity and moreover do not include a sustainability dimension. Based on a thorough…
Descriptors: Measures (Individuals), Factor Analysis, Psychometrics, Work Environment
Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
Chen, Ken-Zen; Chen, Chang-Hua; Tsai, Hsiao-Feng; Li, Shao-Chi; Guglielmino, Lucy M. – International Journal of Self-Directed Learning, 2020
The objective of this study was to determine the fitness of the Self-Directed Learning Readiness Scale (SDLRS) factorial structure for Taiwanese secondary school students. Analyzing the model fit of the SDLRS was undertaken. Data from the 8-dimensional 58-item SDLRS completed by 3,878 students from 7 Taiwan secondary schools were analyzed using…
Descriptors: Foreign Countries, Secondary School Curriculum, National Curriculum, Curriculum Implementation
Valenzuela, Cristina; Martínez, M. Loreto; Cumsille, Patricio – Youth & Society, 2020
Social capital (SC) has been described as the "glue" that facilitates close social relationships among individuals, groups, and communities. However, few studies have empirically tested the structure of this concept. We report two studies that advance and test a model of SC in youth involved in social organizations. A theory-guided…
Descriptors: Factor Structure, Prosocial Behavior, Social Capital, Interpersonal Relationship
Carey, John C.; Fan, Kui Yuan; He, Lijuan; Jin, Yuan Ying – Journal of School-Based Counseling Policy and Evaluation, 2020
This article describes a factor analytic study designed to identify the underlying dimensions of school-based counseling practice that will be useful in describing cross-national differences in school-based counseling practice and in enabling comparative research on school-based counseling policy and effectiveness. Practicing school-based…
Descriptors: School Counseling, School Counselors, Surveys, Factor Analysis
Saleem, Muhammad Abid; Eagle, Lynne; Akhtar, Naveed; Wasaya, Allah – Journal of Marketing for Higher Education, 2020
This empirical investigation was aimed at conceptualizing, developing and validating a scale for the measurement of the quality of higher degrees by research (HDR-QUAL). For that purpose, this study specifically measured perceptions of higher degrees by research (HDR) students about the constituents of HDR quality in Pakistani tertiary education…
Descriptors: Marketing, College Choice, Higher Education, Foreign Countries
Warren, Aaron R. – Physical Review Physics Education Research, 2020
The evaluation of hypotheses, and the ability to learn from critical reflection on experimental and theoretical tests of those hypotheses, is central to an authentic practice of physics. A large part of physics education therefore seeks to help students understand the significance of this kind of reflective practice and to develop the strategies…
Descriptors: Epistemology, Bayesian Statistics, Physics, Science Instruction
Wang, Yanyan; Nikitina, Larisa – rEFLections, 2020
This study explored epistemic beliefs held by Mainland Chinese learners of English. Studies that investigate language learners' personal epistemologies, which include beliefs about the nature of knowledge and the process of knowing, are scarce. For the most part, such studies are quantitative. This paper employed Q methodology, an approach that…
Descriptors: Foreign Countries, Q Methodology, Second Language Learning, English (Second Language)
Peters, Scott J.; Pereira, Nielsen – Journal of Advanced Academics, 2017
Even as the importance of replication research has become more widely understood, the field of gifted education is almost completely devoid of replication studies. An area in which replication is a particular problem is in student identification research, since instrument validity is a necessary prerequisite for any sound psychometric decision. To…
Descriptors: Rating Scales, Test Validity, Replication (Evaluation), Special Education
Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
Chen, Zheng; Miller, Patrick A.; Clements, Terry L.; Kim, Mintai – EURASIA Journal of Mathematics, Science & Technology Education, 2017
With increasing academic research in the past few decades, the knowledge scope of landscape architecture has expanded from traditional focus on aesthetics to a broad range of ecological, cultural and psychological issues. In order to understand how academic research and knowledge expansion may have redefined the practice, two surveys were…
Descriptors: Architecture, Architectural Research, Surveys, Research Needs
Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver; Greiff, Samuel – Journal of Experimental Education, 2017
We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…
Descriptors: Factor Analysis, Evaluation Methods, Identification, Correlation
Ernst, Jeremy V.; Willams, Thomas O.; Clark, Aaron C.; Kelly, Daniel P. – Engineering Design Graphics Journal, 2017
The Purdue Spatial Visualization Test: Visualization of Rotations (PVST:R) is among the most commonly used measurement instruments to assess spatial ability among engineering students. Previous analysis that explores the factor structure of the PSVT:R indicates a single-factor measure of the instrument. With this as a basis, this research seeks to…
Descriptors: Spatial Ability, Visualization, Engineering Education, Undergraduate Students

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