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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
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
Lambie, Glenn W.; Mullen, Patrick R.; Swank, Jacqueline M.; Blount, Ashley – Measurement and Evaluation in Counseling and Development, 2018
Supervisors evaluated counselors-in-training at multiple points during their practicum experience using the Counseling Competencies Scale (CCS; N = 1,070). The CCS evaluations were randomly split to conduct exploratory factor analysis and confirmatory factor analysis, resulting in a 2-factor model (61.5% of the variance explained).
Descriptors: Counselor Training, Counseling, Measures (Individuals), Competence
Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics
Schary, David P.; Waldron, Alexis L. – Journal of Experiential Education, 2017
Challenge course programs influence a variety of psychological, social, and educational outcomes. Yet, many challenges exist when measuring challenge course outcomes like logistical constraints and a lack of specific assessment tools. This study piloted and tested an assessment tool designed for facilitators to measure participant outcomes in…
Descriptors: Experiential Learning, Adventure Education, Questionnaires, Outcomes of Education
Gokce, Asiye Toker – European Journal of Educational Research, 2017
This study aimed to develop a valid and reliable measurement tool to enhance ethical evaluation literature. The tool consists of two subscales named "Bases of ethical evaluation," and "Grounds of ethical evaluation." In order to determine the factor structure of the scales, both exploratory and confirmatory factor analyses were…
Descriptors: Ethics, Questionnaires, Religious Factors, Evaluation Methods
Tidén, Anna; Lundqvist, Carolina; Nyberg, Marie – Measurement in Physical Education and Exercise Science, 2015
This study presents the development process and initial validation of the NyTid test, a process-oriented movement assessment tool for compulsory school pupils. A sample of 1,260 (627 girls and 633 boys; mean age of 14.39) Swedish school children participated in the study. In the first step, exploratory factor analyses (EFAs) were performed in…
Descriptors: Test Construction, Test Validity, Psychomotor Skills, Student Evaluation
Grohmann, Anna; Kauffeld, Simone – International Journal of Training and Development, 2013
Psychometrically sound evaluation measures are vital for examining the contribution of professional training to organizational success in a reliable manner. As training evaluations tend to be both time-consuming and labor-intensive, there is an increasing demand for economic evaluation inventories. Simultaneously, evaluation measures have to meet…
Descriptors: Validity, Questionnaires, Psychometrics, Professional Training
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
Marsh, Herbert W.; Ginns, Paul; Morin, Alexandre J. S.; Nagengast, Benjamin; Martin, Andrew J. – Journal of Educational Psychology, 2011
Recently graduated university students from all Australian Universities rate their overall departmental and university experiences (DUEs), and their responses (N = 44,932, 41 institutions) are used by the government to benchmark departments and universities. We evaluate this DUE strategy of rating overall departments and universities rather than…
Descriptors: Teacher Effectiveness, Student Evaluation of Teacher Performance, Factor Structure, Foreign Countries
Jones-Farmer, L. Allison – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…
Descriptors: Factor Structure, Factor Analysis, Evaluation Research, Goodness of Fit
Nelson, Judith A.; Bustamante, Rebecca M.; Wilson, Eric D.; Onwuegbuzie, Anthony J. – Professional School Counseling, 2008
This study was designed to assess the (score) construct-related validity of an instrument called the School-Wide Cultural Competence Observation Checklist (SCCOC). The instrument was developed to use as a tool in conducting culture audits as a means of assessing school-wide cultural competence, or how well a school's programs, policies, and…
Descriptors: Check Lists, Observation, Reliability, Factor Structure
Byrne, Barbara M.; Stewart, Sunita M. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The overarching intent of this article is to exemplify strategies associated with tests for measurement invariance that are uncommonly applied and reported in the extant literature. Designed within a pedagogical framework, the primary purposes are 3-fold and illustrate (a) tests for measurement invariance based on the analysis of means and…
Descriptors: Factor Structure, Item Response Theory, Testing, Statistical Analysis
van der Sluis, Sophie; Dolan, Conor V.; Stoel, Reinoud D. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article is concerned with the seemingly simple problem of testing whether latent factors are perfectly correlated (i.e., statistically indistinct). In recent literature, researchers have used different approaches, which are not always correct or complete. We discuss the parameter constraints required to obtain such perfectly correlated latent…
Descriptors: Testing, Factor Structure, Structural Equation Models, Correlation
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