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Showing 1 to 15 of 33 results Save | Export
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Chan, Mei-ki; Furlong, Michael J.; Nylund-Gibson, Karen; Dowdy, Erin – School Mental Health, 2022
Measures of positive well-being are needed to support the shift away from a deficit-based approach to mental health. This study examined one measure, the Mental Health Continuum-Short Form (MHC-SF), as a measure of positive well-being used in school-based mental health monitoring efforts. This study used latent profile analysis (LPA) to explore…
Descriptors: Well Being, High School Students, Mental Health, Multivariate Analysis
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Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
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Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
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Lin, Su-Wei; Tai, Wen-Chun – Universal Journal of Educational Research, 2015
This study investigated how various mathematics learning strategies affect the mathematical literacy of students. The data for this study were obtained from the 2012 Programme for International Student Assessment (PISA) data of Taiwan. The PISA learning strategy survey contains three types of learning strategies: elaboration, control, and…
Descriptors: Multivariate Analysis, Learning Strategies, Mathematics, Numeracy
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Yalcin, Seher – International Journal of Progressive Education, 2018
In this study, it is aimed to distinguish the reading skills of students participating in PISA 2015 application into multi-level latent classes at the student and country level. Furthermore, it is aimed to examine how the clusters emerged at country-level is predicted by variables as students have the information and communication technology (ICT)…
Descriptors: Reading Achievement, Reading Skills, Classification, Information Technology
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Depren, Serpil Kilic – Journal of Baltic Science Education, 2018
Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students' science achievements in order to identify the…
Descriptors: Foreign Countries, Prediction, Science Achievement, Multivariate Analysis
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Toker, Turker; Green, Kathy E. – AERA Online Paper Repository, 2017
This study provides the results of a latent class analysis (LCA) using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th grade mathematics section. The study presents the analysis of item data with Mplus 7.31 to determine if results obtained yielded distinct latent subgroups. The data…
Descriptors: Cross Cultural Studies, Comparative Education, Achievement Tests, Elementary Secondary Education
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Rojewski, Jay W.; Lee, In Heok; Hill, Roger B. – Asia Pacific Education Review, 2014
Variations in the school-based career exploration activities of Korean high school students were examined. Data represented 5,227 Korean adolescents in Grade 11 contained in the Korean Education Longitudinal Study of 2005, a nationally representative longitudinal database administered by the Korean Educational Development Institute. Latent class…
Descriptors: Foreign Countries, Career Exploration, High School Students, Grade 11
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Eickelmann, Birgit; Vennemann, Mario – European Educational Research Journal, 2017
In the debate on the integration of information and communication technologies (ICT) into schools, the beliefs and attitudes of teachers towards ICT in teaching and learning have always been regarded as central criteria for successful implementation of new technologies. In this context, a study in 2013 by the International Association for the…
Descriptors: Teacher Attitudes, Beliefs, Information Technology, Technology Integration
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Di Paola, Benedetto; Battaglia, Onofrio Rosario; Fazio, Claudio – South African Journal of Education, 2016
The problem of taking a data set and separating it into subgroups, where the members of each subgroup are more similar to each other than they are to members outside the subgroup, has been extensively studied in science and mathematics education research. Student responses to written questions and multiple-choice tests have been characterised and…
Descriptors: Foreign Countries, Grade 10, Questionnaires, Algebra
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Mofield, Emily L.; Parker Peters, Megan – Roeper Review, 2015
Researchers explored the typology of perfectionism among 153 (46% male, 54% female; 88% White, 8% African American, 5% Asian American, 4% Hispanic, 1% Other) suburban gifted adolescents and compared perfectionism scores (using the Goals and Work Habits Survey, a modification of Frost's Multidimensional Perfectionism Scale [F-MPS]) to samples of…
Descriptors: Personality Traits, Gifted, Adolescents, Suburbs
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Wu, Anise M. S.; Lau, Joseph T. F.; Cheng, Kit-man; Law, Rita W.; Tse, Vincent W. S.; Lau, Mason M. C. – Journal of Early Adolescence, 2018
Internet addiction (IA) is prevalent among adolescents and imposes a serious public health threat. Familial risk and protective factors may co-exist and interact with each other to determine IA. We conducted a cross-sectional survey among 9,618 Secondary 1 to 4 students in Hong Kong, China. About 16% of the surveyed students were classified as…
Descriptors: Risk, Addictive Behavior, Multivariate Analysis, Intervention
Danielle S. McNamara; Scott A. Crossley; Rod D. Roscoe; Laura K. Allen; Jianmin Dai – Grantee Submission, 2015
This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies onmachine learning techniques that compute essay scores using a set of text variables. Unlike previous studies that rely on regression models, this study computes essay scores using a hierarchical…
Descriptors: Automation, Scoring, Essays, Persuasive Discourse
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Kaosa-ard, Chanapat; Erawan, Waraporn; Damrongpanit, Suntonrapot; Suksawang, Poonpong – Educational Research and Reviews, 2015
The researcher applied latent profile analysis to study the difference of the students' mathematical process skill. These skills are problem solving skills, reasoning skills, communication and presentation skills, connection knowledge skills, and creativity skills. Samples were 2,485 seventh-grade students obtained from Multi-stage Random…
Descriptors: Foreign Countries, Mathematics Skills, Classification, Statistical Analysis
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Sanagi, Tomomi – Contemporary Issues in Education Research, 2016
Teachers' misunderstanding the concept of inclusive education will not lead to good practices, rather make an exclusive environment for pupils with special educational needs in mainstream schools. This study clarified teachers' attitudes towards the image of inclusive education with conjoint analysis and cluster analysis. The participants for this…
Descriptors: Teacher Attitudes, Attitudes toward Disabilities, Inclusion, Misconceptions
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