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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
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Konishi, Chiaki; Miyazaki, Yasuo; Hymel, Shelley; Waterhouse, Terry – School Psychology International, 2017
This study examined how student reports of bullying were related to different dimensions of school climate, at both the school and the student levels, using a contextual effects model in a two-level multilevel modeling framework. Participants included 48,874 secondary students (grades 8 to 12; 24,244 girls) from 76 schools in Western Canada.…
Descriptors: Bullying, Educational Environment, Secondary School Students, Foreign Countries
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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
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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
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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
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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
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Johnston, Lauren E.; Mercer, Sterett H.; Geres-Smith, Rhonda – Canadian Journal of School Psychology, 2018
The purpose of this preliminary study was to determine whether incorporating vocabulary instruction in individual reading fluency interventions for English Language Learners (ELLs) would improve reading comprehension. Two vocabulary instructional procedures were contrasted with a fluency-building only condition in an alternating-treatments design…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
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Lin, Pei-Ying; Lin, Yu-Cheng – Educational and Psychological Measurement, 2014
This exploratory study investigated potential sources of setting accommodation resulting in differential item functioning (DIF) on math and reading assessments for examinees with varied learning characteristics. The examinees were those who participated in large-scale assessments and were tested in either standardized or accommodated testing…
Descriptors: Test Bias, Multivariate Analysis, Testing Accommodations, Mathematics Tests
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D'Angelo, Nadia; Hipfner-Boucher, Kathleen; Chen, Xi – Developmental Psychology, 2017
The present study investigated the contribution of morphological and cognate awareness to the development of English and French vocabulary knowledge among young minority and majority language children who were enrolled in a French immersion program. Participating children (n = 75) were assessed in English and French on measures of morphological…
Descriptors: Prediction, French, Vocabulary Development, Morphology (Languages)
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Irving, Karen E.; Pape, Stephen J.; Owens, Douglas T.; Abrahamson, Louis; Silver, David; Sanalan, Vehbi A. – Journal of Computers in Mathematics and Science Teaching, 2016
Findings from three years of a longitudinal randomized control trial involving a national U.S. sample of Algebra 1 teachers and students are reported. The study examines the effects of a connected classroom technology (CCT) professional development and classroom intervention on student achievement when compared to classroom instruction with…
Descriptors: Algebra, Mathematics Achievement, Longitudinal Studies, Randomized Controlled Trials
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Arya, Diana J.; McClung, Nicola A.; Katznelson, Noah; Scott, Lyn – International Journal of Multilingualism, 2016
Social psychologists have suggested that language-based ideologies related to "stereotype threat" (i.e. variations in performance-based on ability perceptions of language groups) may affect students' academic achievement regardless of school language support. However, it is unclear whether efforts to support students' first language…
Descriptors: Social Psychology, Language Attitudes, Stereotypes, Achievement Tests
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Kandiko, C. B. – Journal of Institutional Research, 2008
To compare college and university student engagement in two countries with different responses to global forces, Canada and the United States (US), a series of hierarchical linear regression (HLM) models were developed to analyse data from the 2006 administration of the National Survey of Student Engagement (NSSE). Overall, students in the U.S.…
Descriptors: National Surveys, Comparative Analysis, Comparative Education, Learner Engagement