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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
Son, Sookyoung; Hong, Sehee – Educational and Psychological Measurement, 2021
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Structural Equation Models, Groups
Dombrowski, Stefan C.; McGill, Ryan J.; Canivez, Gary L. – School Psychology Quarterly, 2018
The Woodcock-Johnson (fourth edition; WJ IV; Schrank, McGrew, & Mather, 2014a) was recently redeveloped and retains its linkage to Cattell-Horn-Carroll theory (CHC). Independent reviews (e.g., Canivez, 2017) and investigations (Dombrowski, McGill, & Canivez, 2017) of the structure of the WJ IV full test battery and WJ IV Cognitive have…
Descriptors: Factor Analysis, Achievement Tests, Cognitive Tests, Cognitive Ability
Chen, Jing; Lin, Tzu-Jung; Ku, Yu-Min; Zhang, Jie; O'Connell, Ann – Scientific Studies of Reading, 2018
Concept of word--the awareness of how words differ from nonwords or other linguistic properties--is important to learning to read Chinese because words in Chinese texts are not separated by space, and most characters can be productively compounded with other characters to form new words. The current study examined the effects of reader, word, and…
Descriptors: Vocabulary Development, Reading Comprehension, Chinese, Grade 5
Early, Diane M.; Sideris, John; Neitzel, Jennifer; LaForett, Doré R.; Nehler, Chelsea G. – Grantee Submission, 2018
The Early Childhood Environment Rating Scale-Third Edition (ECERS-3) is the latest version of one of the most widely used observational tools for assessing the quality of classrooms serving preschool-aged children. This study was the first assessment of its factor structure and validity, an important step given its widespread use. An ECERS-3…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Factor Structure
Bear, George G.; Yang, Chunyan; Chen, Dandan; He, Xianyou; Xie, Jia-Shu; Huang, Xishan – School Psychology Quarterly, 2018
Objective: The purpose of this study was to examine differences between American and Chinese students in their perceptions of school climate and engagement in school, and in the relation between school climate and engagement. Method: Confirmatory factor analyses were used to support the factor structure and measurement invariance of the two…
Descriptors: Foreign Countries, Comparative Education, Educational Environment, Learner Engagement
Seo, Eunjin; Lee, You-kyung – Educational Psychology, 2018
We examine the intrinsic value students placed on schoolwork (i.e. academic intrinsic value) and social relationships (i.e. social intrinsic value). We then look at how these values predict middle and high school achievement. To do this, we came up with four profiles based on cluster analyses of 6,562 South Korean middle school students. The four…
Descriptors: Friendship, Academic Achievement, Educational Benefits, Barriers
Wentzel, Kathryn R.; Muenks, Katherine; McNeish, Daniel; Russell, Shannon – Journal of Educational Psychology, 2018
We examined the mediating role of students' interpersonal and academically related social goals in linking students' perceptions of teacher and peer personal and academic emotional supports to their classroom behavior (prosocial, social responsibility) in a sample of young adolescents (n = 3,092) from 7 schools from the mid-Atlantic, Midwest, and…
Descriptors: Early Adolescents, Interpersonal Relationship, Teacher Student Relationship, Prosocial Behavior
Koch, Tobias; Schultze, Martin; Burrus, Jeremy; Roberts, Richard D.; Eid, Michael – Journal of Educational and Behavioral Statistics, 2015
The numerous advantages of structural equation modeling (SEM) for the analysis of multitrait-multimethod (MTMM) data are well known. MTMM-SEMs allow researchers to explicitly model the measurement error, to examine the true convergent and discriminant validity of the given measures, and to relate external variables to the latent trait as well as…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Factor Analysis, Multitrait Multimethod Techniques
Muijselaar, Marloes M. L. – Scientific Studies of Reading, 2018
We investigated the dimensionality of inference making in samples of 4- to 9-year-olds (Ns = 416-783) to determine if local and global coherence inferences could be distinguished. In addition, we examined the validity of our experimenter-developed inference measure by comparing with three additional measures of listening comprehension. Multitrait,…
Descriptors: Inferences, Thinking Skills, Young Children, Listening Comprehension
Martin, Andrew J.; Lazendic, Goran – Journal of Educational Psychology, 2018
With the rise of large-scale academic assessment programs around the world, there is a need to better understand the factors predicting students' achievement in these assessment exercises. This investigation into national numeracy assessment drew on ecological and transactional conceptualizing involving student, student/home, and school factors.…
Descriptors: Numeracy, Mathematics Tests, National Competency Tests, Predictor Variables
Dülmer, Hermann – Sociological Methods & Research, 2016
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs…
Descriptors: Factor Analysis, Reliability, Validity, Benchmarking
Heemsoth, Tim; Retelsdorf, Jan – Measurement in Physical Education and Exercise Science, 2018
Educational research emphasizes the advantages of multimethod designs. However, if the design comprises different perspectives, the question of construct validity emerges. We related this question to student and teacher ratings of student-student relations, which are of high interest in research on physical education. In our study, 2,160 students…
Descriptors: Educational Research, Factor Analysis, Peer Relationship, Physical Education Teachers
Hanham, José; McCormick, John – Journal of Educational Research, 2018
Relationships among self-construal, self-efficacy, and group behaviors during a group problem-solving task with friends and acquaintances were hypothesized. The sample comprised 126 students in Grades 8-11, from 5 randomly selected government high schools, organized into 42 groups. Data collection involved self-reports and observations.…
Descriptors: Foreign Countries, High School Students, Hierarchical Linear Modeling, Student Attitudes
Hornstra, Lisette; van der Veen, Ineke; Peetsma, Thea – High Ability Studies, 2017
This study focused on effects of high-ability programs on students' achievement emotions, i.e. emotions that students experience that are associated with achievement activities. Participants were students in grade 4-6 of primary education: 218 students attended full-time high-ability programs, 245 attended part-time high-ability programs (i.e.…
Descriptors: Psychological Patterns, Elementary School Students, Special Education, Gifted