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Pair Programming in Perspective: Effects on Persistence, Achievement, and Equity in Computer Science
Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – Journal of Research on Educational Effectiveness, 2020
Pair programming is a form of collaborative learning in computer science that involves two students working together on a coding project. Previous research has identified mostly positive outcomes from this practice, such as course grades and the quality of the resulting code. Pair programming may also facilitate interactions that improve the…
Descriptors: Cooperative Learning, Programming, Computer Science, Academic Persistence
Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
Larson, Kristine E.; Pas, Elise T.; Bottiani, Jessika H.; Kush, Joseph; Bradshaw, Catherine P. – Grantee Submission, 2020
Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…
Descriptors: Hierarchical Linear Modeling, Learner Engagement, Classroom Techniques, Student Characteristics
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
Du, Jianxia; Fan, Xitao; Xu, Jianzhong; Wang, Chuang; Sun, Li; Liu, Fangtong – Educational Technology Research and Development, 2019
This study examines factors related to student self-efficacy beliefs in on-line groupwork. Participants in this study were 204 graduate students taking an online graduate-level course from a public university in the Southeast United States of America. Two-level hierarchical linear models were used to examine predictors of the students'…
Descriptors: Predictor Variables, Self Efficacy, Electronic Learning, Online Courses
Cockpim, Julasak; Somprach, Kanokorn – Turkish Online Journal of Educational Technology - TOJET, 2019
The main aim of this research was to investigate the effects of learning leadership of school administrators and teachers' teaching behavior toward teacher professional development. A total of 412 samples consisting of 103 school administrators and 309 teachers participated as respondents. Researchers utilized a quantitative survey design with a…
Descriptors: Leadership Training, Administrators, Teacher Behavior, Teacher Effectiveness
Leroux, Audrey J. – Journal of Experimental Education, 2019
This study proposes a new model, termed the multiple membership piecewise growth model (MM-PGM), to handle individual mobility across clusters frequently encountered in longitudinal studies, especially in educational research wherein some students could attend multiple schools during the course of the study. A real data set containing some…
Descriptors: Student Mobility, Longitudinal Studies, Hierarchical Linear Modeling, Grade 1
Sean Demack – Education Endowment Foundation, 2019
Cluster Randomized Trial (CRT) designs are inherently multilevel and reflect the hierarchical structure of schools and the wider education system. To capture this multilevel nature, CRTs are commonly analysed using multilevel (or hierarchical) linear models. It is fairly common for CRT designs and analyses to include school and individual/pupil…
Descriptors: Educational Research, Randomized Controlled Trials, Research Design, Hierarchical Linear Modeling
Zhao, Hong; Hodges, James S.; Carlin, Bradley P. – Research Synthesis Methods, 2017
Network meta-analysis (NMA) combines direct and indirect evidence comparing more than 2 treatments. Inconsistency arises when these 2 information sources differ. Previous work focuses on inconsistency detection, but little has been done on how to proceed after identifying inconsistency. The key issue is whether inconsistency changes an NMA's…
Descriptors: Meta Analysis, Networks, Hierarchical Linear Modeling, Bayesian Statistics
Kelcey, Ben; Dong, Nianbo; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2017
The purpose of this study is to disseminate the results of recent advances in statistical power analyses with regard to multilevel mediation and its implementation in the PowerUp!-Mediator software. The authors first focus on the conceptual and statistical differences among common asymptotic, component-wise, and resampling-based tests of mediation…
Descriptors: Computer Software, Research Design, Statistical Analysis, Hierarchical Linear Modeling
DeLuca, Thomas A. – Journal of Education Finance, 2018
Educational institutions operate within multiple hierarchical levels with each level typically influencing policies or outcomes at other levels within the hierarchy. For example, decisions made at the state level may influence decisions at the local education agency (LEA) level which may influence decisions at the school building level (as well in…
Descriptors: Educational Finance, Expenditures, Expenditure per Student, Resource Allocation
Croake, Daniel J.; Andreatta, Richard D.; Stemple, Joseph C. – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The purpose of this study is to quantify the interactions of the 3 vocalization subsystems of respiration, phonation, and resonance before, during, and after a perturbation to the larynx (temporarily induced unilateral vocal fold paralysis) in 10 vocally healthy participants. Using dynamic systems theory as a guide, we hypothesized that…
Descriptors: Speech Impairments, Voice Disorders, Hierarchical Linear Modeling, Hypothesis Testing
Vuorre, Matti; Bolger, Niall – Grantee Submission, 2018
Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and…
Descriptors: Statistical Analysis, Hierarchical Linear Modeling, Cognitive Psychology, Neurosciences
Chen, Fu; Sakyi, Alfred; Cui, Ying – Educational Psychology, 2021
Based upon the ecological perspective and the social cognitive theory, this study examined the role of reading self-efficacy in the associations of contextual factors with reading achievement by establishing an educational ecology of reading. The model included student factors, student/home factors, student/school factors, and school factors of…
Descriptors: Student Characteristics, Institutional Characteristics, Family Characteristics, Reading Achievement
Hong, Yihua; Hong, Guanglei – AERA Open, 2021
This study is focused on the threat of retention associated with test-based promotion in Grade 3. Through analyzing the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 data, we found that schools having such a policy apparently increased math instructional time but not reading instructional time in Grade 3. On average, the…
Descriptors: Student Promotion, Tests, Time on Task, Grade 3