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Lockwood, Nicholas S. – ProQuest LLC, 2011
Geographically dispersed teams rely on information and communication technologies (ICTs) to communicate and collaborate. Three ICTs that have received attention are audio conferencing (AC), video conferencing (VC), and, recently, 3D virtual environments (3D VEs). These ICTs offer modes of communication that differ primarily in the number and type…
Descriptors: Cues, Structural Equation Models, Statistical Analysis, Decision Making
Chang, I-Hua – School Leadership & Management, 2011
The purpose of this study was to explore the relationships between distributed leadership, teachers' academic optimism and student achievement in learning. The study targeted public elementary schools in Taiwan and adopted stratified random sampling to investigate 1500 teachers. Teachers' perceptions were collected by a self-report scale. In…
Descriptors: Elementary Schools, Academic Achievement, Foreign Countries, Statistical Analysis
Lavian, Rivka Hillel – Teachers and Teaching: Theory and Practice, 2012
This article reports on a quantitative research study designed to examine the impact of organizational climate on burnout among homeroom and special education teachers working in Israeli state (non-religious) schools. The research literature identifies various causes for teacher burnout, offering evidence that special education teachers experience…
Descriptors: Structural Equation Models, Teacher Burnout, Program Effectiveness, Statistical Analysis
Kshirsagar, Anant M.; Radhakrishnan, R. – International Journal of Mathematical Education in Science and Technology, 2009
In a balanced design (i.e. a design in which all cells have the same number of observations), if the effects in the linear model are random and normally distributed, the distribution of the ratio of any sum of squares (s.s.) in the ANOVA to the expected value of its mean square (m.s.) has a [chi][superscript 2]-distribution. In this note, we…
Descriptors: Statistical Analysis, Geometric Concepts, Mathematical Models, Structural Equation Models
van de Schoot, Rens; Hoijtink, Herbert; Dekovic, Maja – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Researchers often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model. It is currently not possible to test these so-called informative hypotheses in structural equation modeling software. We offer a solution to this problem using M"plus." The hypotheses are…
Descriptors: Structural Equation Models, Computer Software, Hypothesis Testing, Statistical Analysis
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Davies, Patrick T.; Cicchetti, Dante; Martin, Meredith J. – Child Development, 2012
This study examined specific forms of emotional reactivity to conflict and temperamental emotionality as explanatory mechanisms in pathways among interparental aggression and child psychological problems. Participants of the multimethod, longitudinal study included 201 two-year-old children and their mothers who had experienced elevated violence…
Descriptors: Psychological Needs, Parent Child Relationship, Conflict, Personality Traits
Bryant, Alyssa N. – Research in Higher Education, 2011
Based upon a national longitudinal dataset of 14,527 college students generated by the UCLA Spirituality in Higher Education Project, this study used structural equation modeling to test the applicability of a model of ecumenical worldview development for students of diverse genders, races, and worldviews. The model suggests that challenging…
Descriptors: World Views, Structural Equation Models, Religious Factors, Gender Differences
Wang, Xueli – Teachers College Record, 2013
Background/Context: Although much research has dealt with the factors that influence educational expectations, few studies have addressed recent high school graduates who attend community colleges as their first postsecondary institutions. As the costs associated with attending a four-year institution keep rising, community colleges increasingly…
Descriptors: Two Year College Students, Expectation, Academic Aspiration, High School Seniors
Casas, Ferran; Baltatescu, Sergiu; Bertran, Irma; Gonzalez, Monica; Hatos, Adrian – Social Indicators Research, 2013
This paper presents results from two samples of adolescents aged 13-16 from Romania and Spain (N = 930 + 1,945 = 2,875). The original 7-item version of the Personal Well-Being Index (PWI) was used, together with an item on overall life satisfaction (OLS) and a set of six items related to satisfaction with school. A confirmatory factor analysis of…
Descriptors: Foreign Countries, Structural Equation Models, Life Satisfaction, Factor Analysis
Ke, Fengfeng; Kwak, Dean – Computers & Education, 2013
This mixed-method study examined whether online learning interaction participation, perception, and learning satisfaction would be consistent across varied age and ethnicity groups. Data were collected from students enrolled in 28 online courses via content analysis with online interaction transcripts, structural equation modeling with the…
Descriptors: Student Participation, Satisfaction, Transcripts (Written Records), Age Differences
Edwards, Michael C. – Psychometrika, 2010
Item factor analysis has a rich tradition in both the structural equation modeling and item response theory frameworks. The goal of this paper is to demonstrate a novel combination of various Markov chain Monte Carlo (MCMC) estimation routines to estimate parameters of a wide variety of confirmatory item factor analysis models. Further, I show…
Descriptors: Structural Equation Models, Markov Processes, Factor Analysis, Item Response Theory
Peugh, James L.; Enders, Craig K. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Cluster sampling results in response variable variation both among respondents (i.e., within-cluster or Level 1) and among clusters (i.e., between-cluster or Level 2). Properly modeling within- and between-cluster variation could be of substantive interest in numerous settings, but applied researchers typically test only within-cluster (i.e.,…
Descriptors: Structural Equation Models, Monte Carlo Methods, Multivariate Analysis, Sampling
Evaluating Model Fit for Growth Curve Models: Integration of Fit Indices from SEM and MLM Frameworks
Wu, Wei; West, Stephen G.; Taylor, Aaron B. – Psychological Methods, 2009
Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balanced on time with complete data, balanced on time with data missing at random, and unbalanced on time. (b) Traditional work on fit from the structural equation…
Descriptors: Structural Equation Models, Goodness of Fit, Longitudinal Studies, Comparative Analysis
Wu, Kun-Chang; Shein, Paichi Pat; Tsai, Chun-Yen; Chou, Ching-Yang; Wu, Yuh-Yih; Liu, Chia-Ju; Chiu, Houn-Lin; Hung, Jeng-Fung; Chao, David; Huang, Tai-Chu – International Journal of Science Education, Part B: Communication and Public Engagement, 2012
The purpose of this quantitative study is to understand the attitudes of Taiwanese adult citizens over 18 years of age toward science and technology. A theoretical model is constructed and evaluated to identify factors that affect public attitudes. Differences in citizens' gender, age, and educational level are also examined to determine whether…
Descriptors: Foreign Countries, Public Opinion, Scientific Attitudes, Technology

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