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Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
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
Jackson, Dennis L.; McLellan, Chelsea; Frey, Marc P.; Rauti, Carolyn M. – Canadian Journal of Education, 2020
Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…
Descriptors: Student Behavior, Personality Traits, Classification, Undergraduate Students
Liqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
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
Nelissen, Sara; Van den Bulck, Jan; Beullens, Kathleen – Information Research: An International Electronic Journal, 2017
Introduction: This study aims to (a) construct a typology of how individuals acquire cancer information, and (b) examine whether these types differ regarding socio-demographics and cancer-related knowledge, attitudes and behaviour. Method: A standardized, cross-sectional survey among cancer diagnosed and non-diagnosed individuals in Flanders,…
Descriptors: Cancer, Information Seeking, Multivariate Analysis, Statistical Analysis
Konstantinidis-Pereira, Alicja – Perspectives: Policy and Practice in Higher Education, 2018
This paper summarises a new method of grouping postgraduate taught (PGT) courses introduced at Oxford Brookes University as a part of a Portfolio Review. Instead of classifying courses by subject, the new cluster approach uses statistical methods to group the courses based on factors including flexibility of study options, level of specialisation,…
Descriptors: Graduate Students, Portfolios (Background Materials), Statistical Analysis, Classification
Barata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel – IEEE Transactions on Learning Technologies, 2016
State of the art research shows that gamified learning can be used to engage students and help them perform better. However, most studies use a one-size-fits-all approach to gamification, where individual differences and needs are ignored. In a previous study, we identified four types of students attending a gamified college course, characterized…
Descriptors: Prediction, Performance, Profiles, Games
Ranasinghe, Rasika; Chew, Emerick; Knight, Genevieve; Siekmann, Gitta – National Centre for Vocational Education Research (NCVER), 2019
It is well established that a successful transition to the labour market has long-term social and economic implications for both individuals and society. However, the journey from school to the world of work is not straightforward and needs to be better understood. Based on data from the 2006 cohort of the Longitudinal Surveys of Australian Youth…
Descriptors: Longitudinal Studies, Foreign Countries, Education Work Relationship, Adolescents
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
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
Tumusiime, Emmanuel – Journal of Agricultural Education and Extension, 2017
Purpose: This study examines the suitability of the system of rice intensification (SRI) for diverse small-scale farmers in Tanzania by exploring if poor and non-poor farmers adopt the system to a similar extent. Originality: The suitability of low-external input technologies such as SRI for diverse African farmers is a contentious issue. Existing…
Descriptors: Food, Foreign Countries, Agricultural Occupations, Multivariate Analysis
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
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
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