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Sata, Mehmet; Elkonca, Fuat – International Journal of Contemporary Educational Research, 2020
The aim of the study is to analyze how classification performances change in accordance with sample size in logistic regression and CHAID analyses. The dataset used in this study was obtained by means of "Attentional Control Scale." The scale was applied to 1824 students and the analyses were done by randomly choosing the samples from…
Descriptors: Classification, Regression (Statistics), Statistical Analysis, Sample Size
Gomes, Cristiano Mauro Assis; Jelihovschi, Enio – International Journal of Research & Method in Education, 2020
Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Classification
Susan L. Robertson – Journal of Curriculum Studies, 2024
In this paper, I argue a new politics of ordinal differentiation and its instruments for governing education aims to make invisible a 'low intensity civil war' against the labouring classes. It does this through the elevation and ubiquity of actuarial and quantitative measures aimed at producing a new form of differentiated belonging: that of…
Descriptors: Social Differences, Politics of Education, Citizenship, Personal Autonomy
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Djalal, Farah Mutiasari; Hampton, James A.; Storms, Gert; Heyman, Tom – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The present study investigated the relationship between category extension and intension for 11 different semantic categories. It is often tacitly assumed that there is a (strong) extension-intension link. However, a recent study by Hampton and Passanisi (2016) examining the patterns of stable individual differences in concepts across participants…
Descriptors: Classification, Semantics, Evaluative Thinking, Correlation
Suk, Youmi; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2021
There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…
Descriptors: Artificial Intelligence, Statistical Analysis, Statistical Inference, Classification
Gomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
Baccini, Alberto; De Nicolao, Giuseppe – Research Evaluation, 2017
This letter documents some problems in Ancaiani et al. (2015). Namely the evaluation of concordance, based on Cohen's kappa, reported by Ancaiani et al. was not computed on the whole random sample of 9,199 articles, but on a subset of 7,597 articles. The kappas relative to the whole random sample were in the range 0.07-0.15, indicating an…
Descriptors: Foreign Countries, Scientific Research, Evaluation, Statistical Analysis
Bidyuk, Natalya; Oleskova, Halyna – Comparative Professional Pedagogy, 2018
This article deals with the study of current status and prospects for development of nursing professions in Germany. It outlines the classification of "Healthcare Professions" and "Healthcare and Nursing Professions", which are also identified with "Nursing Professions". Besides, such concepts as "nursing",…
Descriptors: Nursing, Foreign Countries, Classification, Employment Qualifications
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
Aguirre, Roberto; Santiago, Julio – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
Current evidence provides support for the idea that time is mentally represented by spatial means, i.e., a left-right mental timeline. However, available studies have tested only factual events, i.e., those which have occurred in the past or can be predicted to occur in the future. In the present study we tested whether past and future potential…
Descriptors: Time, Spatial Ability, Classification, Evaluative Thinking
Altungul, Oguzhan; Karahüseyinoglu, M. Fatih – Journal of Education and Training Studies, 2017
It is the area that surrounds the broad masses of football, which includes the economic and social dimensions of the whole world. The reason why soccer is so influential is the question of the amount of football that is interested in football. The reason why soccer is so influential is the question of the amount of football that is interested in…
Descriptors: College Athletics, Team Sports, College Students, Scores
Moulton, Vanessa; Flouri, Eirini; Joshi, Heather; Sullivan, Alice – British Journal of Sociology of Education, 2017
Social class mobility from grandparent to grandchild is a relatively neglected topic. Grandparents today are often healthier and more active, and have longer relationships with their grandchildren than in previous generations. We used data from the UK's Millennium Cohort Study (n = 8570) to investigate the influence of maternal and paternal…
Descriptors: Grandparents, Social Class, Racial Differences, Ethnic Groups
Çaglayan, Hakan Salim; Gül, Özgür – Journal of Education and Training Studies, 2017
The objective of this study is to reveal the perceptions of the students of the sports sciences faculty regarding the concept of "Fair-Play" by means of metaphors. 275 students [male[subscript (n = 173)], female [subscript (n = 102)]] studying at the Sports Sciences Faculty of Seljuk University in the fall semester of the 2016-2017…
Descriptors: Sportsmanship, Sport Psychology, Foreign Countries, College Students
Skrbinjek, Vesna; Šušteršic, Janez; Lesjak, Dušan – Tertiary Education and Management, 2018
This article analyses how political preferences, which are co-determined by the beliefs of decision-makers and influences of interest groups and the general public, affect the decisions to maintain or cut public funding for tertiary education during the economic crisis. Our sample included 29 European countries which we divided into two groups…
Descriptors: Economic Climate, Higher Education, Educational Finance, Federal Aid