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Showing 1 to 15 of 168 results Save | Export
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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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Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
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Paulsen, Hilko Frederik Klaas; Kauffeld, Simone – International Journal of Training and Development, 2017
Motivation to transfer is a critical element for successful training transfer. Whereas recent research has shown that training-related factors such as training design are related to motivation to transfer, participants' affective experiences have been neglected. Based on the broaden-and-build theory of positive emotions, we conducted a multilevel…
Descriptors: Motivation, Transfer of Training, Psychological Patterns, Hierarchical Linear Modeling
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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
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Robbers, Eric; Donche, Vincent; De Maeyer, Sven; Van Petegem, Peter – Research Papers in Education, 2018
Research shows that learning conceptions are susceptible to change during possible critical transitions in students' school careers: such as the transition from primary to secondary education and the transition from secondary to higher education. This study aims to determine whether students' learning conceptions developed during the four years of…
Descriptors: Elementary School Students, Secondary School Students, Longitudinal Studies, Change
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Becht, Andrik I.; Nelemans, Stefanie A.; Branje, Susan J. T.; Vollebergh, Wilma A. M.; Koot, Hans M.; Meeus, Wim H. J. – Developmental Psychology, 2017
A central assumption of identity theory is that adolescents reconsider current identity commitments and explore identity alternatives before they make new commitments in various identity domains (Erikson, 1968; Marcia, 1966). Yet, little empirical evidence is available on how commitment and exploration dynamics of identity formation affect each…
Descriptors: Adolescents, Identification (Psychology), Diaries, Longitudinal Studies
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Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
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Ferrão, Maria Eugénia; Costa, Patrícia Mota; Matos, Daniel Abud Seabra – Large-scale Assessments in Education, 2017
The paper extends the literature on grade repetition in Brazil by (a) describing and synthesizing the main research findings and contributions since 1940, (b) enlarging the understanding of the inequity mechanism in education, and (c) providing new findings on the effects of the school socioeconomic composition and school proportion of repeaters…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Yang, Guang; Badri, Masood; Al Rashedi, Asma; Almazroui, Karima – Journal of Research in International Education, 2018
The employment of expatriate teachers is explored here through the perspective of their organisational commitment. Drawing on the results of a public school teacher survey conducted in the Emirate of Abu Dhabi in 2014, this study used a multilevel framework to investigate the effects of teacher characteristics, school environment, and district…
Descriptors: Foreign Nationals, Public School Teachers, Hierarchical Linear Modeling, Foreign Countries
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Wu, Jason Hsinchieh; Lin, Chunn-Ying – Asia Pacific Education Review, 2018
Research on teacher and school academic optimism has abounded ever since these two constructs were confirmed and shown to have positive effects on student achievement. However, one overlooked research question is the nested association between teacher and school academic optimism. This study intends to fill this gap by using hierarchical linear…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Elementary School Teachers, Foreign Countries
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Richardson, Ken; Clark, Zaramasina; Gaines, Michael; Kingi, Hautahi; Miller, Sonja; Pearson, Willie, Jr.; Richardson, Liz – CBE - Life Sciences Education, 2018
Maori and Pacific students generally do not attain the same levels of tertiary success as New Zealanders of European descent, particularly in science, technology, engineering, and mathematics (STEM) subjects. Te Ropu Awhina (Awhina), an equity initiative at Victoria University of Wellington in New Zealand between 1999 and 2015, aimed to produce…
Descriptors: Bayesian Statistics, Pacific Islanders, Ethnic Groups, STEM Education
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Kamienkowski, Juan E.; Carbajal, M. Julia; Bianchi, Bruno; Sigman, Mariano; Shalom, Diego E. – Discourse Processes: A multidisciplinary journal, 2018
When a word is read more than once, reading time generally decreases in the successive occurrences. This Repetition Effect has been used to study word encoding and memory processes in a variety of experimental measures. We studied naturally occurring repetitions of words within normal texts (stories of around 3,000 words). Using linear mixed…
Descriptors: Repetition, Eye Movements, Reading, Cognitive Processes
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Chen, Jing; Lin, Tzu-Jung; Ku, Yu-Min; Zhang, Jie; O'Connell, Ann – Scientific Studies of Reading, 2018
Concept of word--the awareness of how words differ from nonwords or other linguistic properties--is important to learning to read Chinese because words in Chinese texts are not separated by space, and most characters can be productively compounded with other characters to form new words. The current study examined the effects of reader, word, and…
Descriptors: Vocabulary Development, Reading Comprehension, Chinese, Grade 5
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Salmela-Aro, Katariina; Read, Sanna; Minkkinen, Jaana; Kinnunen, Jaana M.; Rimpelä, Arja – International Journal of Behavioral Development, 2018
The aim of this longitudinal study among 9223 students from grade 7 and grade 9 (age 13-14 and 15-16) was to assess whether immigrant status and gender are associated with the level and change (slope) in school burnout among lower secondary school students in the Helsinki metropolitan area. Ninety-seven percent of the variation in school burnout…
Descriptors: Longitudinal Studies, Secondary School Students, Burnout, Immigrants
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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
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