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Liao, C. Lynn; Sánchez, Bernadette – Youth & Society, 2019
This study aimed to (a) identify mentoring quality profiles based on characteristics of informal mentoring relationships, (b) examine how mentor and youth demographic characteristics were related to the profiles, and (c) investigate whether the profiles were related to youth's academic outcomes. Participants were 411 ninth-grade urban, low-income…
Descriptors: Mentors, Correlation, Urban Youth, Low Income
Stahre Wästberg, Beata; Eriksson, Thommy; Karlsson, Göran; Sunnerstam, Maria; Axelsson, Michael; Billger, Monica – Education and Information Technologies, 2019
Building a virtual laboratory for teaching and learning is a highly complex process, incorporating diverse areas such as interaction design, visualisation, and pedagogy. This article focuses on the production and implementation issues that were found in the comparison of two different virtual laboratory projects, and discuss which design…
Descriptors: Color, Laboratory Experiments, Science Instruction, Science Laboratories
Son, Sookyoung; Lee, Hyunjung; Jang, Yoona; Yang, Junyeong; Hong, Sehee – Educational and Psychological Measurement, 2019
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew-t with equal skew and skew-t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with…
Descriptors: Statistical Distributions, Statistical Analysis, Structural Equation Models, Comparative Analysis
Zhang, Zhonghua; Zhao, Mingren – Journal of Educational Measurement, 2019
The present study evaluated the multiple imputation method, a procedure that is similar to the one suggested by Li and Lissitz (2004), and compared the performance of this method with that of the bootstrap method and the delta method in obtaining the standard errors for the estimates of the parameter scale transformation coefficients in item…
Descriptors: Item Response Theory, Error Patterns, Item Analysis, Simulation
Shi, Junrong; Li, Yong – American Journal of Health Education, 2019
Background: Patients with diabetes and disabilities often have more difficulties in managing their diabetes. Little is known about how disabilities affect their use of diabetes education program. Purpose: The purpose of this study was to examine the association between disabilities and diabetes education program use for patients with diabetes and…
Descriptors: Diabetes, Health Education, Patients, Correlation
Bottema-Beutel, Kristen; Kim, So Yoon; Miele, David B. – Journal of Autism and Developmental Disorders, 2019
This study used mixed-effects logistic regression to examine undergraduates' (N = 142) evaluations and reasoning about scenarios involving disability-based exclusion. Scenarios varied by disability [autism spectrum disorder (ASD) versus learning disability (LD)], the context of exclusion (classroom versus social), and whether or not a grade was at…
Descriptors: Undergraduate Students, Student Attitudes, Autism, Learning Disabilities
Lu, Rui; Keller, Bryan Sean – AERA Online Paper Repository, 2019
When estimating an average treatment effect with observational data, it's possible to get an unbiased estimate of the causal effect if all confounding variables are observed and reliably measured. In education, confounding variables are often latent constructs. Covariate selection methods used in causal inference applications assume that all…
Descriptors: Factor Analysis, Predictor Variables, Monte Carlo Methods, Comparative Analysis
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – Grantee Submission, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Merkle, E. C.; Furr, D.; Rabe-Hesketh, S. – Grantee Submission, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Models
Kumar, Abhilasha A.; Balota, David A.; Steyvers, Mark – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We examined 3 different network models of representing semantic knowledge (5,018-word directed and undirected step distance networks, and an association-correlation network) to predict lexical priming effects. In Experiment 1, participants made semantic relatedness judgments for word pairs with varying path lengths. Response latencies for…
Descriptors: Semantics, Networks, Correlation, Semitic Languages
Sirganci, Gozde; Uyumaz, Gizem; Yandi, Alperen – International Journal of Assessment Tools in Education, 2020
It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Nedoluzhko, Olga V.; Nigay, Evgeniya A. – Journal of Educational Psychology - Propositos y Representaciones, 2020
The development of intellectual capital at the macro- and mesoscale is the main tool for the transition of the economy to a progressive sixth technological mode, and at the level of an individual organization it ensures its stable position and high competitiveness in the market. However, training and educating its applications are of a great…
Descriptors: Human Capital, Intellectual Development, Competition, Classification
Safronova, Tatiana; Chernousova, Natalia; Safronova, Maria – Journal of Educational Psychology - Propositos y Representaciones, 2020
Financial literacy and financial capacity of schoolchildren should be developed to meet the requirements of the rapidly developing society and increasingly complicated financial system of the Russian Federation. The authors focused on the financial education of schoolchildren who represent a special target group in financial relations. The main…
Descriptors: Teaching Methods, Money Management, Comparative Analysis, Logical Thinking
Diana; Sunardi; Gunarhadi; Yusuf, Munawir – Cypriot Journal of Educational Sciences, 2020
The study aims to find out the effectiveness of I-Teach model to improve teachers' professionalism in handling special-needs children in inclusive classes. This is the final part of a research and development project with the modification of its development stage by Sukmadinata (2017) to be a model testing stage. It explained the effectiveness of…
Descriptors: Models, Inclusion, Preschool Teachers, Professionalism
Wise, Michael J.; Collins, Rachel – Bioscene: Journal of College Biology Teaching, 2020
The protection of earth's biodiversity requires a sophisticated understanding of how human activities can affect the relative abundances of species in natural ecological communities. Here, we report on an introductory biology laboratory activity in which students quantified biodiversity while investigating one of the most important controls on the…
Descriptors: Biodiversity, Biology, Science Instruction, Introductory Courses

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