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What Works Clearinghouse Rating
Harring, Jeffrey R.; Johnson, Tessa L. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…
Descriptors: Educational Assessment, Data Analysis, Longitudinal Studies, Case Studies
Riches, Nick G. – Journal of Child Language, 2017
Children with Specific Language Impairment (SLI) have language difficulties of unknown origin. Syntactic profiles are atypical, with poor performance on non-canonical structures, e.g. object relatives, suggesting a localized deficit. However, existing analyses using ANOVAs are problematic because they do not systematically address unequal…
Descriptors: Profiles, Language Impairments, Statistical Analysis, Children
Monteiro, Fátima; Leite, Carlinda; Rocha, Cristina – European Journal of Engineering Education, 2017
The recognition of the need and importance of including ethical and civic education in engineering courses, as well as the training profile on ethical issues, relies heavily on the engineer's concept and the perception of the engineering action. These views are strongly related to the different engineer education model conceptions and its…
Descriptors: Ethics, Engineering Education, Foreign Countries, Civics
Gloppen, Kari M.; Gower, Amy L.; McMorris, Barbara J.; Eisenberg, Marla E. – Journal of School Health, 2017
Background: Peer harassment can have serious implications for students' success and well-being, and prevention programs need to consider the school context. This study aimed to: (1) identify groups of similar schools based on their risk and protective factors and demographic characteristics and (2) examine associations between school profiles and…
Descriptors: Bullying, Prevention, Student Surveys, Risk
James, Richard J.; Dubey, Indu; Smith, Danielle; Ropar, Danielle; Tunney, Richard J. – Journal of Autism and Developmental Disorders, 2016
Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six…
Descriptors: Autism, Pervasive Developmental Disorders, Symptoms (Individual Disorders), Data Interpretation
Meggiolaro, Silvia; Giraldo, Anna; Clerici, Renata – Studies in Higher Education, 2017
This paper examines individual and institutional characteristics which may influence the outcomes of university students' careers. Withdrawals, course changes, delays and graduations of students enrolled in first-cycle degree courses in a large public university in Italy are examined. Individual longitudinal data from administrative archives were…
Descriptors: Risk, Models, Educational Experience, College Preparation
Chittum, Jessica R.; Jones, Brett D. – Journal of Educational Psychology, 2017
One purpose of this study was to determine whether patterns existed in pre-high school students' motivation-related perceptions of their science classes. Another purpose was to examine the extent to which these patterns were related to their science identification, gender, grade level, class effort, and intentions to persist in science. We…
Descriptors: Student Motivation, Science Education, Student Attitudes, Rural Schools
Harring, Jeffrey R.; Hodis, Flaviu A. – Educational Psychologist, 2016
Model-based clustering methods, commonly referred to as finite mixture modeling, have been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. In this article, we elucidate 2 such approaches: growth mixture modeling and latent profile analysis. Both techniques are…
Descriptors: Educational Psychology, Multivariate Analysis, Statistical Analysis, Models
Ullrich-French, Sarah; Cox, Anne E.; Cooper, Brittany Rhoades – Measurement in Physical Education and Exercise Science, 2016
Previous research has used cluster analysis to examine how social physique anxiety (SPA) combines with motivation in physical education. This study utilized a more advanced analytic approach, latent profile analysis (LPA), to identify profiles of SPA and motivation regulations. Students in grades 9-12 (N = 298) completed questionnaires at two time…
Descriptors: Anxiety, Human Body, Body Composition, Social Attitudes
Dierks, Pay O.; Höffler, Tim N.; Blankenburg, Janet S.; Peters, Heide; Parchmann, Ilka – International Journal of Science Education, 2016
Considering the reported lack of interest in the STEM-domain and the consequential difficulties in recruiting talented and interested young academics, the development of effective enrichment measures is indispensable. This requires a precise picture of students' interests. The paper presents an approach to characterize interest profiles in…
Descriptors: Foreign Countries, Secondary School Students, Student Interests, Science Interests
Hawwash, Basheer – ProQuest LLC, 2013
Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered using conventional querying or statistical methods. This discovered knowledge has been used to empower decision makers in countless applications spanning across many multi-disciplinary areas…
Descriptors: Social Networks, Decision Making, Data Analysis, Statistical Analysis
Ning, Hoi Kwan; Downing, Kevin – Studies in Higher Education, 2015
Based on self-reported cognitive, metacognitive, and behavioural strategy measures obtained from 828 final-year students from a university in Hong Kong, latent profile analysis (LPA) identified four distinct types of students with differential self-regulated learning strategy orientations: "competent self-regulated learners",…
Descriptors: Profiles, Metacognition, Learning Strategies, College Seniors
Bergold, Sebastian; Wendt, Heike; Kasper, Daniel; Steinmayr, Ricarda – Journal of Educational Psychology, 2017
The present study investigated (a) how a latent profile analysis based on representative data of N = 74,868 4th graders from 17 European countries would cluster the students on the basis of their reading, mathematics, and science achievement test scores; (b) whether there would be gender differences at various competency levels, especially among…
Descriptors: Academic Ability, Gender Differences, Disproportionate Representation, Profiles
Cheng, Soh Kay – European Journal of Higher Education, 2012
"The U21 Ranking of National Higher Education Systems" released in May 2012 is a new player on the scene of university rankings, after ARWU, QSWUR and THEWUR, but with a different perspective--that of whole nations. It has some new features that enhance its validity, but it also shares some of the conceptual and methodological problems…
Descriptors: Higher Education, Reputation, Universities, Institutional Evaluation
Skipper, Tracy L., Ed. – National Resource Center for the First-Year Experience and Students in Transition, 2017
The responsibility for college success has historically rested with the student, but since the 1980s, educators have taken increasing ownership of this, designing structures that increase the likelihood of learning, success, and retention. These efforts have included a variety of initiatives--first year seminars, learning communities,…
Descriptors: Educational Practices, Academic Achievement, First Year Seminars, Undergraduate Students

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