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Chunhua Cao; Yan Wang; Eunsook Kim – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Nonparametric Statistics, Statistical Analysis
Endler Marcel Borges – Journal of Chemical Education, 2023
An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…
Descriptors: Statistics Education, Programming Languages, Chemistry, Science Instruction
Antino, Mirko; Alvarado, Jesús M.; Asún, Rodrigo A.; Bliese, Paul – Sociological Methods & Research, 2020
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares…
Descriptors: Nonparametric Statistics, Factor Analysis, Item Analysis, Robustness (Statistics)
Mor, Ezgi; Kula-Kartal, Seval – International Journal of Assessment Tools in Education, 2022
The dimensionality is one of the most investigated concepts in the psychological assessment, and there are many ways to determine the dimensionality of a measured construct. The Automated Item Selection Procedure (AISP) and the DETECT are non-parametric methods aiming to determine the factorial structure of a data set. In the current study,…
Descriptors: Psychological Evaluation, Nonparametric Statistics, Test Items, Item Analysis
Enakshi Saha – ProQuest LLC, 2021
We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…
Descriptors: Bayesian Statistics, Probability, Nonparametric Statistics, Data Analysis
Kogar, Hakan – Journal of Education and Learning, 2018
The aim of the present research study was to compare the findings from the nonparametric MSA, DIMTEST and DETECT and the parametric dimensionality determining methods in various simulation conditions by utilizing exploratory and confirmatory methods. For this purpose, various simulation conditions were established based on number of dimensions,…
Descriptors: Evaluation Methods, Nonparametric Statistics, Statistical Analysis, Factor Analysis
Bilgen, Özge Bikmaz – World Journal of Education, 2020
The purpose of this study is to examine the validity of the scale for identifying gifted children, whose validity was proven by exploratory, confirmatory factor analysis, and whose reliability was proven the Cronbach alpha coefficient for identifying children in the 3-6 age group, using Mokken scaling based on nonparametric item response theory.…
Descriptors: Academically Gifted, Talent Identification, Measures (Individuals), Test Validity
Svetina, Dubravka; Levy, Roy – Educational Assessment, 2014
A framework is introduced for considering dimensionality assessment procedures for multidimensional item response models. The framework characterizes procedures in terms of their confirmatory or exploratory approach, parametric or nonparametric assumptions, and applicability to dichotomous, polytomous, and missing data. Popular and emerging…
Descriptors: Item Response Theory, Models, National Competency Tests, Science Tests
Garrels, Veerle; Granlund, Mats – European Journal of Special Needs Education, 2018
This study describes the adaptation and validation of the American Institute for Research (AIR) Self-Determination Scale for use in Norwegian research and education. The study contributes to the field by enabling reliable assessment of self-determination of Norwegian students with intellectual disability. The operational equivalence of the…
Descriptors: Self Determination, Intellectual Disability, Factor Analysis, Foreign Countries
Atalay, Ahmet – Educational Research and Reviews, 2016
The research objective is to determine different variables on sport attitudes of the 1st, 2nd, 3rd, and 4th grade high school students throughout Turkey. Data were collected using face to face survey method with students studying in 21 provinces within seven different geographical regions of Turkey. 5862 randomized students are selected throughout…
Descriptors: Athletics, Student Attitudes, High School Students, Student Surveys
Aminbeidokhti, Aliakbar; Jamshidi, Laleh; Mohammadi Hoseini, Ahmad – Studies in Higher Education, 2016
Many scientists have suggested that both total quality management (TQM) and organizational learning can separately and effectively reinforce innovation. But is there any relationship between TQM and organizational learning? This study has two main purposes: (1) determining the causal relationship between TQM, organizational learning and…
Descriptors: Total Quality Management, Innovation, Surveys, Correlation
Akhmetzyanova, Anna I.; Nikishina, Vera B.; Klyueva, Nadezhda V.; Petrash, Ekaterina A. – International Journal of Environmental and Science Education, 2016
The urgency of the problem stated in the article is caused by the fact that modern scientific studies show that sustainable neuro-associative connections with the object of addiction arise at chemical addiction. The aim of this study is to examine the features of the reciprocal organization of constructive activities in drug addiction. Study of…
Descriptors: Drug Abuse, Addictive Behavior, Comparative Analysis, Psychomotor Skills
Ravand, Hamdollah; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2016
Structural equation modeling (SEM) has become widespread in educational and psychological research. Its flexibility in addressing complex theoretical models and the proper treatment of measurement error has made it the model of choice for many researchers in the social sciences. Nevertheless, the model imposes some daunting assumptions and…
Descriptors: Least Squares Statistics, Structural Equation Models, Nonparametric Statistics, Sample Size
Sakhiyeva, Farida A.; Berdibayeva, Sveta K.; Kasymova, Roza S.; Shagyrbayeva, Mentay; Smatova, Clara B.; Orazbayeva, Ayimbala Sh. – International Journal of Environmental and Science Education, 2016
Considers the lines of development for ethnic-national values as the driving force of the Kazakh nation's multiethnic society, characterizes ethnic and national value orientations inherent in the representatives of the Kazakh nation based on a comparison of value orientations of Kazakh living in Kazakhstan and abroad, determines the dominating…
Descriptors: Immigrants, Ethnic Groups, Values, Foreign Countries
Kiral, Erkan – Eurasian Journal of Educational Research, 2016
Problem Statement: School administrators who are aware of their own emotions and know how to manage them are in high demand nowadays. It is important to improve the emotional labor of school administrators in schools that have quite a high number of interactions. Literature review shows that emotional labor has been studied in several service…
Descriptors: Foreign Countries, Psychometrics, Behavior Rating Scales, Likert Scales