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Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Anglim, Jeromy; Wynton, Sarah K. A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Learning, Statistical Analysis
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Martin, Andrew J.; Lazendic, Goran – Journal of Educational Psychology, 2018
With the rise of large-scale academic assessment programs around the world, there is a need to better understand the factors predicting students' achievement in these assessment exercises. This investigation into national numeracy assessment drew on ecological and transactional conceptualizing involving student, student/home, and school factors.…
Descriptors: Numeracy, Mathematics Tests, National Competency Tests, Predictor Variables
Busch, Tobias; Vanpoucke, Filiep; van Wieringen, Astrid – Journal of Speech, Language, and Hearing Research, 2017
Purpose: We describe the natural auditory environment of people with cochlear implants (CIs), how it changes across the life span, and how it varies between individuals. Method: We performed a retrospective cross-sectional analysis of Cochlear Nucleus 6 CI sound-processor data logs. The logs were obtained from 1,501 people with CIs (ages 0-96…
Descriptors: Auditory Stimuli, Assistive Technology, Life Cycle Costing, Individual Differences
Hanham, José; McCormick, John – Journal of Educational Research, 2018
Relationships among self-construal, self-efficacy, and group behaviors during a group problem-solving task with friends and acquaintances were hypothesized. The sample comprised 126 students in Grades 8-11, from 5 randomly selected government high schools, organized into 42 groups. Data collection involved self-reports and observations.…
Descriptors: Foreign Countries, High School Students, Hierarchical Linear Modeling, Student Attitudes
Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
Martin, Andrew J.; Papworth, Brad; Ginns, Paul; Malmberg, Lars-Erik – Journal of Educational Psychology, 2016
Most educational climate research is conducted among (day school) students who spend the bulk of their young lives outside of school, potentially limiting the amount of climate variance that can be captured. Boarding school students, on the other hand, spend much of their lives at school and thus offer a potentially unique perspective on…
Descriptors: Boarding Schools, Educational Environment, Student Motivation, Learner Engagement
Pandya, Samta P. – Religious Education, 2018
Based on a one-year longitudinal experimental study with 3,782 kindergarten school children across 15 countries, this article examines the association between prayer and happiness. Results show that the post-test scores on the faces scale were higher for the participant group who had taken the prayer lessons vis-à-vis the comparison group.…
Descriptors: Scores, Cross Cultural Studies, Christianity, Pretests Posttests
Ma, Colleen; Harris, Peter; Cole, Andrew; Jones, Phil; Shulruf, Boaz – Issues in Educational Research, 2016
The objectives of this study were to identify the effectiveness of the panel admission interview as a selection tool for the medical program and identify improvements in the selection tools battery. Data from 1024 students, representing four cohorts of students were used in this study. Exploratory factor analysis using principal component analysis…
Descriptors: Interviews, Medical Education, College Admission, Admission Criteria
Askell-Williams, Helen; Murray-Harvey, Rosalind – Journal of Early Childhood Research, 2016
New policy initiatives, such as those concerned with promoting young children's positive mental health, highlight the need for good quality professional education in the early childhood education and care sector. However, although a wealth of literature exists from the school sector, little is known about professional education in early childhood…
Descriptors: Preschool Teachers, Early Childhood Education, Mental Health, Health Promotion
Dickson, Kerry Ann; Stephens, Bruce Warren – Higher Education Pedagogies, 2016
Literature shows that attendance is an important bidirectional link in engaging students in learning. However, metacognitive awareness eludes many first-year students--particularly the disadvantaged, including those with low admission scores, English as a second language or coming from low socio-economic status (SES), migrant, or first-in-family…
Descriptors: Intervention, Lecture Method, Attendance, Scores
Mulford, Bill – International Journal of Educational Leadership and Management, 2013
The research reported in this article builds on work commenced eight years ago with reviewing the literature and models of successful school leadership for improved student outcomes. When the findings of this review were combined with the results from case studies of successful schools it resulted in a preliminary model of successful school…
Descriptors: Capacity Building, Success, Student Improvement, Leadership Effectiveness
Kaur, Berinderjeet; Areepattamannil, Shaljan – Mathematics Education Research Group of Australasia, 2013
This study, drawing on date from the Programme for International Student Assessment (PISA) 2009, examined the relationships of out-of-school-time mathematics lessons to mathematical literacy in Singapore and Australia. Results of two-level hierarchical linear modelling (HLM) analyses revealed that out-of-school-time enrichment lessons in…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Thalluri, Jyothi; O'Flaherty, Jackie A.; Shepherd, Paul L. – Journal of Peer Learning, 2014
This study had two aims: firstly, to determine whether participation in a peer support scheme called Study Buddy Support (SBS) improves pass rates of "at risk" students, and secondly, to examine the advantages of this model over hierarchical models where senior students tutor junior years. Bachelor of Nursing and Midwifery students in a…
Descriptors: Peer Teaching, Coaching (Performance), At Risk Students, Hierarchical Linear Modeling