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Showing 76 to 90 of 125 results Save | Export
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Brauckmann, Stefan; Pashiardis, Petros – International Journal of Educational Management, 2011
Purpose: The overall purpose of the European Union-funded Leadership Improvement for Student Achievement (LISA) project was to explore how leadership styles, as conceptualized in the developed dynamic holistic leadership framework, directly or indirectly affect student achievement at the lower secondary level of education in seven European…
Descriptors: Foreign Countries, Faculty Development, Teacher Effectiveness, Leadership Styles
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Singaram, Veena S.; van der Vleuten, Cees P. M; Muijtjens, Arno M. M.; Dolmans, Diana H. J. M – Interdisciplinary Journal of Problem-based Learning, 2012
Little is known about the influence of language background in problem-based learning (PBL) tutorial groups on group processes and students' academic achievement. This study investigated the relationship between language background, secondary school score, tutorial group processes, and students' academic achievement in PBL. A validated tutorial…
Descriptors: Correlation, Native Language, Problem Based Learning, Academic Achievement
Joseph, Alex Clement – ProQuest LLC, 2011
This study explored the relationship between ethnic identity, emotional empathy, multicultural sensitivity and dimensions of burnout among schoolteachers working with students from diverse ethnic groups. Based on the self-stereotyping principles and tendencies for ingroup favoritism of social identity approaches, it was hypothesized that…
Descriptors: Teacher Burnout, Racial Identification, Empathy, Cultural Pluralism
Kim, Byunggook – ProQuest LLC, 2009
The purpose of this study was to examine a conceptual framework for an individual's subjective perception of leisure that contributes to Subjective Well-Being (SWB). More specifically, this study was an attempt to examine causal relationships among social cognitive variables, subjective perception of leisure, and SWB. A survey was administered to…
Descriptors: Leisure Time, Well Being, Social Cognition, College Students
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Camp, Amanda G.; Gilleland, Diane; Pearson, Carolyn; Vander Putten, Jim – Educational Research and Evaluation, 2009
The intent of this study was to investigate the adequacy of Weidman's (1985, 1989) theoretical undergraduate socialization model as an empirical-based causal model pertaining to women's career path choice into a science or engineering (SE) major via structural equation modeling. Data were obtained from the Beginning Postsecondary Students…
Descriptors: Majors (Students), Females, Structural Equation Models, Engineering
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Wilke, Marko; Lidzba, Karen; Krageloh-Mann, Ingeborg – Brain and Language, 2009
Instead of assessing activation in distinct brain regions, approaches to investigating the networks underlying distinct brain functions have come into the focus of neuroscience research. Here, we provide a completely data-driven framework for assessing functional and causal connectivity in functional magnetic resonance imaging (fMRI) data,…
Descriptors: Feasibility Studies, Brain, Brain Hemisphere Functions, Diagnostic Tests
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Graham, James M. – Journal of Educational and Behavioral Statistics, 2008
Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and practically. The use of structural equation modeling path diagrams as tools for teaching the GLM as a body of connected statistical procedures is presented. A heuristic data set is used to demonstrate a variety of univariate…
Descriptors: Causal Models, Structural Equation Models, Multivariate Analysis, Multiple Regression Analysis
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Markus, Keith A. – Multivariate Behavioral Research, 2008
One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…
Descriptors: Research Design, Structural Equation Models, Data Analysis, Causal Models
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Freedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
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Phan, Huy P. – British Journal of Educational Psychology, 2008
Background: Although extensive research has examined epistemological beliefs, reflective thinking and learning approaches, very few studies have looked at these three theoretical frameworks in their totality. Aims: This research tested two separate structural models of epistemological beliefs, learning approaches, reflective thinking and academic…
Descriptors: Structural Equation Models, Academic Achievement, Questionnaires, Program Effectiveness
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Hayduk, Leslie A.; Robinson, Hannah Pazderka; Cummings, Greta G.; Boadu, Kwame; Verbeek, Eric L.; Perks, Thomas A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Researchers using structural equation modeling (SEM) aspire to learn about the world by seeking models with causal specifications that match the causal forces extant in the world. This quest for a model matching existing worldly causal forces constitutes an ontology that orients, or perhaps reorients, thinking about measurement validity. This…
Descriptors: Validity, Structural Equation Models, Reliability, Causal Models
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Wu, Amery D.; Zumbo, Bruno D. – Social Indicators Research, 2008
Mediation and moderation are two theories for refining and understanding a causal relationship. Empirical investigation of mediators and moderators requires an integrated research design rather than the data analyses driven approach often seen in the literature. This paper described the conceptual foundation, research design, data analysis, as…
Descriptors: Research Design, Investigations, Structural Equation Models, Data Analysis
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Sovajassatakul, Thanongsak; Jitgarun, Kalayanee; Shinatrakool, Raveewan – Journal of College Teaching & Learning, 2011
The purpose of the study reported on in this paper was to identify and compare instructors' and students' perceptions of Team-Based Learning (TBL). Participants were 270 instructors and 288 fourth year students from the faculties of Industrial Education at six universities in Bangkok. The data were analyzed using factor analysis and structural…
Descriptors: Instructional Design, Industrial Education, Student Attitudes, Structural Equation Models
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Chatzoglou, Prodromos D.; Sarigiannidis, Lazaros; Vraimaki, Eftichia; Diamantidis, Anastasios – Computers & Education, 2009
In the last few decades, the implementation of information technology has given rise to several organizational training needs that have to be satisfied, in order to empower organizational IT performance. The users of new technologies have to be trained quickly and efficiently, and since they are usually distributed to different remote locations,…
Descriptors: Educational Needs, Employees, Structural Equation Models, Self Efficacy
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Cheung, Mike W. L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mediators are variables that explain the association between an independent variable and a dependent variable. Structural equation modeling (SEM) is widely used to test models with mediating effects. This article illustrates how to construct confidence intervals (CIs) of the mediating effects for a variety of models in SEM. Specifically, mediating…
Descriptors: Structural Equation Models, Probability, Intervals, Sample Size
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