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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Teck Kiang Tan – Practical Assessment, Research & Evaluation, 2024
The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…
Descriptors: Bayesian Statistics, Factor Analysis, Programming Languages, Reliability
Yanjing Cao; Chenchen Xu; Shan Lu; Qi Li; Jing Xiao – Psychology in the Schools, 2025
The patient health questionnaire-9 (PHQ-9) is widely utilized in assessing individuals' depression levels. Nevertheless, research regarding its factor structure and measurement invariance remains inadequate. The aim of this study was to delve into the factor structure of the PHQ-9 and to further investigate its measurement invariance across gender…
Descriptors: Factor Structure, Error of Measurement, Factor Analysis, Age Differences
Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
John B. Buncher; Jayson M. Nissen; Ben Van Dusen; Robert M. Talbot – Physical Review Physics Education Research, 2025
Research-based assessments (RBAs) allow researchers and practitioners to compare student performance across different contexts and institutions. In recent years, research attention has focused on the student populations these RBAs were initially developed with because much of that research was done with "samples of convenience" that were…
Descriptors: Science Tests, Physics, Comparative Analysis, Gender Differences
Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
de Souza, Renata T. M. P.; da Silva, Matheus dos Santos Barbosa; Barbato, Daniela M. L.; Ruggiero de Guzzi, Mara Eugênia; Kasseboehmer, Ana Cláudia – Chemistry Education Research and Practice, 2022
Studies on students' motivation to learn Chemistry in developed countries are largely common in the literature. However, very few studies have been carried out with a view to investigating students' motivation to learn Chemistry in places like Latin America, and specifically in Brazil. The present study sought to translate the Chemistry Motivation…
Descriptors: Chemistry, Science Instruction, Learning Motivation, Factor Analysis
Rujun Xu; James Soland – International Journal of Testing, 2024
International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…
Descriptors: Surveys, Statistical Bias, Achievement Tests, Foreign Countries
Xu, Tianxi; Qian, Xueqin; Rifenbark, Graham G.; Shogren, Karrie A.; Hagiwara, Mayumi – Intellectual and Developmental Disabilities, 2022
This study explores the psychometric properties of "Self-Determination Inventory: Student Report" (SDI:SR) in students with intellectual and developmental disabilities (IDD) and without disabilities in China. The paper-and-pencil version of SDI:SR Chinese Translation (SDI:SR Chinese) was used to explore self-determination across students…
Descriptors: Foreign Countries, Psychometrics, Self Determination, Intellectual Disability
Schürer, Sina; van Ophuysen, Stefanie; Behrmann, Lars – Journal of Psychoeducational Assessment, 2021
Class climate has been focused in the context of school research for decades. One central facet of class climate is cohesion. Whereas there are well-elaborated instruments to assess cohesion in different contexts (e.g., sport and therapy), such an instrument is missing for the school context. The aim of the current article is to present an…
Descriptors: Elementary School Students, Factor Structure, Classroom Environment, Group Dynamics
Marques, Cátia; Taveira, Maria do Céu; El Nayal, Mayssah; Silva, Ana Daniela; Gouveia, Valdiney – Journal of International Students, 2020
This study aims to test the applicability of the functional theory of life values and score differences among a group of students from Lebanon and Portugal. Participants include 565 college students--278 Lebanese and 287 Portuguese. A demographic questionnaire and an adapted version of the Basic Values Survey were completed.…
Descriptors: Cross Cultural Studies, College Students, Student Attitudes, Factor Analysis
Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael – Applied Developmental Science, 2017
Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…
Descriptors: Factor Analysis, Structural Equation Models, Correlation, Sample Size
Clark, D. Angus; Bowles, Ryan P. – Grantee Submission, 2018
In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Monte Carlo Methods
Johnson, Keith; Willoughby, Shannon D. – Physical Review Physics Education Research, 2018
The reliability and validity of inventories should be verified in multiple ways. Although the epistemological beliefs about the physical science survey (EBAPS) has been deemed to be reliable and valid by the authors, the axes or factor structure proposed by the authors has not been independently checked. Using data from a study sample we discussed…
Descriptors: Epistemology, Beliefs, Introductory Courses, Astronomy