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Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
Manuel T. Rein; Jeroen K. Vermunt; Kim De Roover; Leonie V. D. E. Vogelsmeier – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…
Descriptors: Measurement Techniques, Factor Analysis, Scores, Validity
Robert Kwadwo Siemoh; Prince Duku; Sampson Boye – Discover Education, 2025
Pedagogical content knowledge (PCK) is important for teachers' instructional effectiveness. This study investigated the self-reported level of PCK among in-service elementary school science teachers in a municipality in Ghana, examining the overall level of PCK. An In-Service Elementary Science Teachers Self-Reported PCK (IEST-SR-PCK) scale was…
Descriptors: Science Teachers, Science Instruction, Pedagogical Content Knowledge, Factor Analysis
Jahabar, Jahangeer Mohamed; Toh, Tin Lam; Tay, Eng Guan; Tong, Cherng Luen – Mathematics Education Research Group of Australasia, 2023
Big Ideas in school mathematics can be seen as overarching concepts that occur in various mathematical topics in a syllabus. For teachers, this knowledge can be used to help students develop a better understanding of mathematics by making visible the central ideas, and connection across topics and across levels. For students, this knowledge can…
Descriptors: Mathematics Education, Mathematics Instruction, Mathematics Curriculum, Teaching Methods
Tamal Krishna Kayal – Sage Research Methods Cases, 2023
Performance in primary education can be measured in terms of different variables, like enrolment rate, attendance rate, or levels of learning achievement of students. Thus, for an analysis of the comparative performance of units, like country, state, or district, we need an aggregate measure or an index developed from these variables. In…
Descriptors: Foreign Countries, Elementary Education, Measurement Techniques, Evaluation Methods
D'Urso, E. Damiano; Tijmstra, Jesper; Vermunt, Jeroen K.; De Roover, Kim – Educational and Psychological Measurement, 2023
Assessing the measurement model (MM) of self-report scales is crucial to obtain valid measurements of individuals' latent psychological constructs. This entails evaluating the number of measured constructs and determining which construct is measured by which item. Exploratory factor analysis (EFA) is the most-used method to evaluate these…
Descriptors: Factor Analysis, Measurement Techniques, Self Evaluation (Individuals), Psychological Patterns
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
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2018
This article outlines a procedure for examining the degree to which a common factor may be dominating additional factors in a multicomponent measuring instrument consisting of binary items. The procedure rests on an application of the latent variable modeling methodology and accounts for the discrete nature of the manifest indicators. The method…
Descriptors: Measurement Techniques, Factor Analysis, Item Response Theory, Likert Scales
Nelson, Adam Ross – Journal of College Student Development, 2017
Student Conduct Administration (SCA) is one of many names for the processes and procedures through which colleges and universities manage student behavior. Despite the accessibility of quasi-experimental design (QED) in the study of education (Schlotter, Schwerdt, & Woessman, 2011), the existing scholarship has yet to generate strong empirical…
Descriptors: Student Behavior, College Students, Quasiexperimental Design, Student Development
Li, Jian; Lomax, Richard G. – Journal of Experimental Education, 2017
Using Monte Carlo simulations, this research examined the performance of four missing data methods in SEM under different multivariate distributional conditions. The effects of four independent variables (sample size, missing proportion, distribution shape, and factor loading magnitude) were investigated on six outcome variables: convergence rate,…
Descriptors: Monte Carlo Methods, Structural Equation Models, Evaluation Methods, Measurement Techniques
Xian, Sidong; Xia, Haibo; Yin, Yubo; Zhai, Zhansheng; Shang, Yan – Cogent Education, 2016
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET…
Descriptors: Discriminant Analysis, Factor Analysis, Student Evaluation of Teacher Performance, Instructional Effectiveness
Merkle, Edgar C.; Zeileis, Achim – Psychometrika, 2013
The issue of measurement invariance commonly arises in factor-analytic contexts, with methods for assessment including likelihood ratio tests, Lagrange multiplier tests, and Wald tests. These tests all require advance definition of the number of groups, group membership, and offending model parameters. In this paper, we study tests of measurement…
Descriptors: Factor Analysis, Evaluation Methods, Tests, Psychometrics
Lazarev, Valeriy; Newman, Denis – Empirical Education Inc., 2014
NCLB waiver requirements have led to development of teacher evaluation systems, in which student growth is a significant component. Recent empirical research has been focusing on metrics of student growth--value-added scores in particular--and their relationship to other metrics. An extensive set of recent teacher-evaluation studies conducted by…
Descriptors: Teacher Effectiveness, Teacher Improvement, Teacher Evaluation, Achievement Tests
Seong, Youjin; Wehmeyer, Michael L.; Palmer, Susan B.; Little, Todd D. – Assessment for Effective Intervention, 2015
Promoting self-determination has been identified as an important practice for the successful transition of youth and young adults with disabilities, and numerous studies have examined the relationship between levels of self-determination and transition-related and postsecondary outcomes. Only a few such studies, however, have examined the global…
Descriptors: Self Determination, Adolescents, Mental Retardation, Learning Disabilities
Sharp, John G.; Hemmings, Brian; Kay, Russell – Journal of Further and Higher Education, 2016
Recently identified as an academic "achievement emotion", boredom has long been implicated as a factor contributing adversely to student attainment across a diverse range of formal educational settings. Despite this, the study of boredom, particularly among students in higher education, remains a relatively neglected and underdeveloped…
Descriptors: Higher Education, Foreign Countries, Psychological Patterns, Models