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Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
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Schweig, Jonathan D.; Yuan, Kun – Educational Measurement: Issues and Practice, 2019
School climate surveys are central to school improvement and principal evaluation policies. The quality of school climate has been linked both to student achievement and to teacher retention. Oftentimes, policymakers and practitioners are concerned with monitoring change in school climate quality in each academic year. Such applications assume…
Descriptors: Educational Environment, Surveys, Hierarchical Linear Modeling, Longitudinal Studies
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Hitczenko, Marcin – Sociological Methods & Research, 2022
Researchers interested in studying the frequency of events or behaviors among a population must rely on count data provided by sampled individuals. Often, this involves a decision between live event counting, such as a behavioral diary, and recalled aggregate counts. Diaries are generally more accurate, but their greater cost and respondent burden…
Descriptors: Surveys, Social Science Research, Recall (Psychology), Diaries
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Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
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Kaczmarczyk, Pawel; Salamonska, Justyna – Journal of Mixed Methods Research, 2018
This article addresses ethnosurvey methodology, a combination of ethnographic and survey research in migrant origin and destination countries, that is designed to elucidate a better understanding of the multiple facets of migration processes. First, the article reviews the utility of ethnosurvey methodology for researching contemporary migration.…
Descriptors: Immigration, Surveys, Foreign Countries, Ethnography
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Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
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Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
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Dietrich, Lars; Zimmermann, David; Hofman, Josef – European Journal of Special Needs Education, 2021
Meta-analyses suggest that instructional quality in the classroom and the quality of teacher-student relationships (TSR) predict positive social-emotional and achievement-related outcomes. Psychoanalytic theory asserts that positive teacher-student relationships are particularly important for outcomes in classrooms with more students with severe…
Descriptors: Teacher Student Relationship, Secondary School Students, Foreign Countries, Behavior Problems
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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
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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
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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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Seeber, Marco; Cattaneo, Mattia; Huisman, Jeroen; Paleari, Stefano – Higher Education: The International Journal of Higher Education Research, 2016
In recent decades internationalization has risen to prominence in higher education institutions (HEIs). Scholars have identified several rationales for internationalization. There is however a lack of conceptual understanding and empirical evidence for which rationale(s) for internationalization are chosen by a given HEI and why. The goal of this…
Descriptors: Higher Education, Hierarchical Linear Modeling, Universities, Organizational Objectives
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Atitumpong, Aungkhana; Badir, Yuosre F. – Journal of Workplace Learning, 2018
Purpose: This study aims to examine the effects of leader-member exchange (LMX) and employee learning orientation on employee innovative work behavior (IWB) through creative self-efficacy. Design/methodology/approach: Data have been collected from 337 employees and 137 direct managers from manufacturing sector. A hierarchical linear model has been…
Descriptors: Employees, Behavior, Workplace Learning, Orientation
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Atas, Dogu; Karadag, Özge – Journal of Language and Linguistic Studies, 2017
In the field of education, most of the data collected are multi-level structured. Cities, city based schools, school based classes and finally students in the classrooms constitute a hierarchical structure. Hierarchical linear models give more accurate results compared to standard models when the data set has a structure going far as individuals,…
Descriptors: Hierarchical Linear Modeling, Foreign Countries, Achievement Tests, International Assessment
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Spierings, Niels; Lubbers, Marcel; Zaslove, Andrej – Gender and Education, 2017
Populist radical right (PRR) parties have attracted anti-migration voters by claiming to serve the interests of nationally defined in-groups. Recently, several European PRR parties have shifted focus from protecting traditional values to protecting so-called modern Western values, including lesbian, gay, bisexual, and transgender rights. Here, we…
Descriptors: Political Attitudes, Politics, Voting, Values
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