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Peer reviewed
Direct linkBeechey, Timothy – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This article provides a tutorial introduction to ordinal pattern analysis, a statistical analysis method designed to quantify the extent to which hypotheses of relative change across experimental conditions match observed data at the level of individuals. This method may be a useful addition to familiar parametric statistical methods…
Descriptors: Hypothesis Testing, Multivariate Analysis, Data Analysis, Statistical Inference
Kishimoto, Tomoko; Ji, Xiaoning; Ding, Xinfang – School Mental Health, 2023
Previous studies that examined the associations among bullying experiences, psychological disturbances, and executive functions showed mixed results. They focused on certain subcomponents of the three sets of variables and did not reflect the comprehensive relationship. The present study explored these associations through regularized generalized…
Descriptors: Multivariate Analysis, Bullying, Student Experience, Executive Function
Download full textYuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
Salehudin, Imam; Alpert, Frank – Education & Training, 2022
Purpose: This study analyzed segment differences of student preference for video use in lecture classes and university use of video lecture classes. The authors then conducted novel gap analyses to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. Multivariate analysis of variance…
Descriptors: Preferences, Video Technology, Class Activities, College Students
Langbert, Mitchell; Stevens, Sean – Studies in Higher Education, 2022
This is a study of 12,372 professors in 116 colleges that are the four top US News-ranked colleges in each of 30 states that collect political registration data. We devised the sample to highlight variation in registration arising from individual, college-level, and state-level characteristics. We find an overall Democratic-to-Republican…
Descriptors: Political Attitudes, Voting, College Faculty, Teacher Characteristics
Minjung Kim; Christa Winkler; James Uanhoro; Joshua Peri; John Lochman – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Cluster memberships associated with the mediation effect are often changed due to the temporal distance between the cause-and-effect variables in longitudinal data. Nevertheless, current practices in multilevel mediation analysis mostly assume a purely hierarchical data structure. A Monte Carlo simulation study is conducted to examine the…
Descriptors: Hierarchical Linear Modeling, Mediation Theory, Multivariate Analysis, Causal Models
Raysen Cheung; Qiuping Jin; Ka Kit Yeung; Hin Long Lau; Wing Hong Chui – Journal of Career Development, 2024
The process model of vocational identity was well applied in various Western countries to study the vocational identity process and statuses of college students. However, such research is limited in Hong Kong. Moreover, the relation between vocational identity development and academic performance was inconclusive in the literature, and it was also…
Descriptors: Vocational Education, Self Concept, Status, Foreign Countries
Selim Dasçioglu; Tuncay Ögretmen – International Journal of Assessment Tools in Education, 2024
The purpose of this research is to determine whether PISA 2018 mathematical literacy test items show a differential item functioning across countries. For this purpose, only the items in booklet number three were examined using the MIMIC method with Latent Class Analysis (LCA) approach. PISA 2018 tests are mostly developed in English. Therefore,…
Descriptors: Test Items, Item Analysis, Mathematics Tests, Literacy
Tara Slominski; Oluwatobi O. Odeleye; Jacob W. Wainman; Lisa L. Walsh; Karen Nylund-Gibson; Marsha Ing – CBE - Life Sciences Education, 2024
Mixture modeling is a latent variable (i.e., a variable that cannot be measured directly) approach to quantitatively represent unobserved subpopulations within an overall population. It includes a range of cross-sectional (such as latent class [LCA] or latent profile analysis) and longitudinal (such as latent transition analysis) analyses and is…
Descriptors: Educational Research, Multivariate Analysis, Research Methodology, Hierarchical Linear Modeling
Edem Maxwell Azila-Gbettor; Christopher Mensah; Abigail Nana Konadu Quarshie; Martin K. Abiemo – Cogent Education, 2024
This study provides a comprehensive review of the research design, themes, and theoretical development of internship literature in the context of business students. One hundred and ninety-two (192) articles retrieved from Scopus, Google Scholar, and the Web of Science databases and published from 1979 to 2022 were analysed. Information on…
Descriptors: Internship Programs, Business Administration Education, Theories, Research Design
Juanjuan Niu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The internet, which is constantly advancing in technology, together with the rapidly changing internet communication technology terminals, has formed a new internet media, which has penetrated into all fields of human material life and spiritual life. This article proposes a design scheme for optimizing the impact of internet environment health on…
Descriptors: Influence of Technology, Internet, College Students, Ethical Instruction
Raymond, Mark R.; Jiang, Zhehan – Educational and Psychological Measurement, 2020
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [G], which quantifies the ratio…
Descriptors: Generalizability Theory, Multivariate Analysis, Scores, Reliability
Bowker, Julie C.; Sette, Stefania; Ooi, Laura L.; Bayram-Ozdemir, Sevgi; Braathu, Nora; Bølstad, Evalill; Castillo, Karen Noel; Dogan, Aysun; Greco, Carolina; Kamble, Shanmukh; Kim, Hyoun K.; Kim, Yunhee; Liu, Junsheng; Oh, Wonjung; Rapee, Ronald M.; Wong, Quincy J. J.; Xiao, Bowen; Zuffianò, Antonio; Coplan, Robert J. – International Journal of Behavioral Development, 2023
The goal of this study was to evaluate the measurement invariance of an adapted assessment of motivations for social withdrawal ("Social Preference Scale--Revised"; SPS-R) across cultural contexts and explore associations with loneliness. Participants were a large sample of university students (N = 4,397; M[subscript age] = 20.08 years,…
Descriptors: Cross Cultural Studies, Withdrawal (Psychology), Motivation, Foreign Countries
Pan, Yanjun; Ke, Fengfeng; Dai, Chih-Pu – Journal of Educational Computing Research, 2023
Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical tasks in digital game-based learning (DGBL) environments. This exploratory study was to examine the salient patterns problem…
Descriptors: Multimedia Instruction, Game Based Learning, Video Games, Mathematics Activities
Balaban, Igor; Filipovic, Danijel; Zlatovic, Miran – Education and Information Technologies, 2023
This study aims to discover groups of students enrolled in the emergency remote teaching online course based on the various course-related data collected throughout the first year of COVID-19 pandemic. Research was conducted among 222 students enrolled in the course "Business Informatics" at the Faculty of Organization and Informatics of…
Descriptors: Identification, Multivariate Analysis, Profiles, Emergency Programs
