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Peer reviewed
Download full textSelim 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
Direct linkTara 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
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
Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
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
Juliana Ego Azonuche; Juliet Obiageli Okoruwa; Comfort Ukrajit Sonye; Gbenga Samuel Oladosu – International Journal of Learning and Change, 2024
The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…
Descriptors: Foreign Countries, Higher Education, Textiles Instruction, Clothing
Balqis Albreiki; Tetiana Habuza; Nishi Palakkal; Nazar Zaki – Education and Information Technologies, 2024
The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in a complex and competitive environment. However, they still face challenges such as academic underachievement, graduation delays, and student dropouts. Fortunately, by…
Descriptors: Multivariate Analysis, Graphs, Identification, At Risk Students
Isabella Toledo Caetano; Valter Paulo Neves Miranda; Fernanda Rocha de Faria; Cheryl Anne Howe; Paulo Roberto dos Santos Amorim – Measurement in Physical Education and Exercise Science, 2024
Latent Class Analysis (LCA) is a statistical method that can help researchers interested in better understanding the movement behaviors (MB) of children, based on the analysis of the level of physical activity (PA) and sedentary time (ST). This study aimed to evaluate and compare two models LCA (one for the accelerometer and one for the 24-hour…
Descriptors: Motion, Child Behavior, Multivariate Analysis, Measurement Techniques
Wang, Ting; Lund, Brady; Dow, Mirah – Education for Information, 2022
By reading the titles, abstracts, and keywords of LIS doctoral dissertations in China from 2011-2020 and conducting cluster analysis and network analysis of keywords, this study aims to understand the intelligence structure of LIS doctoral dissertations in China, as well as the disciplines and topics intersecting with LIS. The results indicated…
Descriptors: Bibliometrics, Library Education, Information Science Education, Doctoral Students
Landaluce-Calvo, M.; García-Lautre, Ignacio; de Rada, Vidal Díaz; Abascal, Elena – International Journal of Social Research Methodology, 2022
Multiple-response questions are a common feature of survey-based research, as its advantages of information collection are well known. Statistical analysis of the responses, however, tends to be either one or two-dimensional, with the restrictions that this entails. This paper presents a multidimensional analysis protocol that provides the…
Descriptors: Multiple Choice Tests, National Surveys, Factor Analysis, Measurement Techniques
