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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
Revuelta, Javier; Franco-Martínez, Alicia; Ximénez, Carmen – Educational and Psychological Measurement, 2021
Situational judgment tests have gained popularity in educational and psychological measurement and are widely used in personnel assessment. A situational judgment item presents a hypothetical scenario and a list of actions, and the individuals are asked to select their most likely action for that scenario. Because actions have no explicit order,…
Descriptors: Factor Analysis, Situational Tests, Statistical Analysis, Sex Stereotypes
Levy, Roy; Xia, Yan; Green, Samuel B. – Educational and Psychological Measurement, 2021
A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and…
Descriptors: Bayesian Statistics, Statistical Analysis, Factor Structure, Probability
Marc Brysbaert – Cognitive Research: Principles and Implications, 2024
Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose…
Descriptors: Experimental Psychology, Individual Differences, Statistical Analysis, Task Analysis
Karina Mostert; Clarisse van Rensburg; Reitumetse Machaba – Journal of Applied Research in Higher Education, 2024
Purpose: This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested. Design/methodology/approach: A cross-sectional design was used. For the study on intention to drop out, 1,820…
Descriptors: Intention, Potential Dropouts, Student Satisfaction, Test Items
Raykov, Tenko; Goldammer, Philippe; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A readily applicable procedure is discussed that allows evaluation of the discrepancy between the popular coefficient alpha and the reliability coefficient of a scale with second-order factorial structure that is frequently of relevance in empirical educational and psychological research. The approach is developed within the framework of the…
Descriptors: Test Reliability, Factor Structure, Statistical Analysis, Computation
Garcia-Garzon, Eduardo; Abad, Francisco J.; Garrido, Luis E. – Journal of Intelligence, 2019
There has been increased interest in assessing the quality and usefulness of short versions of the Raven's Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of "g." Nonetheless, the results provided in the initial validation…
Descriptors: Intelligence Tests, Test Validity, Evaluation Methods, Undergraduate Students
Docherty, Meagan; Gullan, Rebecca Lakin; Phillips, Russell E., III – Journal of College Student Development, 2018
Attending college is a common experience in the United States, with about 7.1 million students projected to enroll in public 4-year colleges and universities in Fall 2018, and institutions expecting to award 1.9 million bachelor's degrees for the 2018-2019 academic year. Because college represents a significant investment of money and time and…
Descriptors: Factor Structure, Mentors, College Students, Factor Analysis
Gonzalez, Oscar; MacKinnon, David P. – Educational and Psychological Measurement, 2018
Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets. The general definition of the construct and its facets might relate differently to…
Descriptors: Statistical Analysis, Monte Carlo Methods, Measurement, Models
Xu, Yuning; Green, Samuel B. – AERA Online Paper Repository, 2017
Investigation of measurement invariance (MI) commonly assumes correct specification of dimensionality across multiple groups. Although research shows that violation of the dimensionality assumption can cause bias in model parameter estimation for single-group analyses, little research on this issue has been conducted for multiple-group analyses.…
Descriptors: Statistical Analysis, Factor Structure, Measurement, Goodness of Fit
Dogan, Muhammet Fatih; Sahin-Taskin, Çigdem – Educational Research and Reviews, 2018
This research aims to adapt the Children's Perceived Use of Self-Regulated Learning Inventory developed by Vandevelde. The inventory was developed to understand children's self-regulated learning. The sampling in this research included 500 children who are attending primary school at Istanbul in Turkey. First of all, the inventory was translated…
Descriptors: Metacognition, Learning Strategies, Translation, Turkish
Sarikaya, Esma Emmioglu; Ok, Ahmet; Aydin, Yesim Capa; Schau, Candace – International Journal of Higher Education, 2018
This study examines factorial structure and the gender invariance of the Turkish version of the Survey of Attitudes toward Statistics (SATS-36). The SATS-36 has 36 items measuring six components: affect, cognitive competence, value, difficulty, effort, and interest. Data were collected from 347 university students. Results showed that the Turkish…
Descriptors: Student Attitudes, Gender Differences, College Students, Measures (Individuals)
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
Sivan, Atara; Cohen, Arie; Chan, Dennis W.; Kwan, Yee Wan – Learning Environments Research, 2017
The Questionnaire on Teacher Interaction (QTI) is a teacher--student relationship measure whose underlying two-dimensional structure is represented in a circumplex model with eight sectors. Using Smallest Space Analysis (SSA), this study examined the circumplex structure of the Chinese version of the QTI among a convenience sample of 731…
Descriptors: Foreign Countries, Questionnaires, Teacher Student Relationship, Statistical Analysis
Beaujean, A. Alexander; Hull, Darrell M.; Sheng, Yanyan; Worrell, Frank C.; Bolen, Judy; Verdisco, Aimee E. – Journal of Psychoeducational Assessment, 2017
We examined the structure of the new "Block Patterns" (BP) test from the Shipley Institute of Living Scale-Second Edition in a sample of Jamaican young adults. To date, very little has been published on the properties of this subtest's items and scores. The BP test is similar in design to the Block Design subtest found in many cognitive…
Descriptors: Foreign Countries, Psychometrics, Young Adults, Intelligence Tests