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Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Whittaker, Tiffany A.; Khojasteh, Jam – Journal of Experimental Education, 2017
Latent growth modeling (LGM) is a popular and flexible technique that may be used when data are collected across several different measurement occasions. Modeling the appropriate growth trajectory has important implications with respect to the accurate interpretation of parameter estimates of interest in a latent growth model that may impact…
Descriptors: Statistical Analysis, Monte Carlo Methods, Models, Structural Equation Models
Antoniou, Panayiotis; Lu, Mohan – Educational Management Administration & Leadership, 2018
During the last 25 years researchers have proposed a number of conceptual frameworks to measure the various functions of instructional leadership. One of the most frequently used frameworks is the Principal Instructional Management Rating Scale (PIMRS). Despite the great number of studies employing the PIMRS, evidence for its reliability and…
Descriptors: Rating Scales, Instructional Leadership, Evaluation Methods, Educational Administration
Vriens, Ingrid; Moors, Guy; Gelissen, John; Vermunt, Jeroen K. – Sociological Methods & Research, 2017
Measuring values in sociological research sometimes involves the use of ranking data. A disadvantage of a ranking assignment is that the order in which the items are presented might influence the choice preferences of respondents regardless of the content being measured. The standard procedure to rule out such effects is to randomize the order of…
Descriptors: Evaluation Methods, Social Science Research, Sociology, Structural Equation Models
Huang, Zuqing; Qiu, Robin G. – Quality in Higher Education, 2016
University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and…
Descriptors: Higher Education, Educational Quality, Liberal Arts, Reputation
Yuan, Ke-Hai; Zhang, Zhiyong; Zhao, Yanyun – Grantee Submission, 2017
The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…
Descriptors: Statistical Analysis, Evaluation Methods, Structural Equation Models, Reliability
Ang, Lawrence; Breyer, Yvonne Alexandra; Pitt, Joseph – Studies in Higher Education, 2018
"Recommendation" is a highly credible and powerful construct in marketing. This article investigates the construct "intention to recommend" in the context of student evaluations of teaching. Motivated by changes in the sector, the study explores what factors drive course recommendation and their relationship with each other. A…
Descriptors: College Faculty, Student Evaluation of Teacher Performance, Evaluation Methods, College Students
Hoelscher, Michael – Research in Comparative and International Education, 2017
This article argues that strong interrelations between methodological and theoretical advances exist. Progress in, especially comparative, methods may have important impacts on theory evaluation. By using the example of the "Varieties of Capitalism" approach and an international comparison of higher education systems, it can be shown…
Descriptors: Higher Education, Comparative Education, Research Methodology, Cross Cultural Studies
Kavgaoglu, Derya; Alci, Bülent – Educational Research and Reviews, 2016
The goal of this research which was carried out in reputable dedicated call centres within the Turkish telecommunication sector aims is to evaluate competence-based curriculums designed by means of internal funding through Stufflebeam's context, input, process, product (CIPP) model. In the research, a general scanning pattern in the scope of…
Descriptors: Foreign Countries, Evaluation Methods, Models, Curriculum Evaluation
Phakiti, Aek – Language Assessment Quarterly, 2016
The current study explores the nature and relationships among test takers' performance appraisals, appraisal calibration, and reported cognitive and metacognitive strategy use in a language test situation. Performance appraisals are executive processes of strategic competence for judging test performance (e.g., evaluating the correctness or…
Descriptors: Testing, Test Wiseness, Language Tests, Evaluation Methods
Paul, Ravi C.; Swart, William; Zhang, Aixiu Monica; MacLeod, Kenneth R. – Distance Education, 2015
Transactional distance has been defined as barriers to students' engagement with learning in the online environment. This research updates Zhang's (2003) scale of transactional distance, which quantified the extent of the barriers, in light of the massive changes in today's web-based learning environment. The resulting revised scale of…
Descriptors: Distance Education, Structural Equation Models, Online Courses, Barriers
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
Mashaw, Bijan – Decision Sciences Journal of Innovative Education, 2012
As a result of this research, a quantitative model and a procedure have been developed to create an online mentoring effectiveness index (EI). To develop the model, mentoring and teaching effectiveness are defined, and then the constructs and factors of effectiveness are identified. The model's construction is based on the theory that…
Descriptors: Models, Online Courses, Statistical Analysis, Mentors
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention