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Supovitz, Jonathan; Sirinides, Philip; May, Henry – Educational Administration Quarterly, 2010
This paper examines the effects of principal leadership and peer teacher influence on teachers' instructional practice and student learning. Using teacher survey and student achievement data from a mid-sized urban southeastern school district in the United States in 2006-2007, the study employs multilevel structural equation modeling to examine…
Descriptors: Principals, Instructional Leadership, Teacher Leadership, Peer Influence
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Alves, Helena; Raposo, Mario – International Journal of Educational Management, 2010
Purpose: The purpose of this paper is to analyse the influence of image on student satisfaction and loyalty. Design/methodology/approach: In order to accomplish the objectives proposed, a model reflecting the influence of image on student satisfaction and loyalty is applied. The model is tested through use of structural equations and the final…
Descriptors: Higher Education, Student Attitudes, Public Opinion, Satisfaction
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Feiring, Candice; Cleland, Charles M.; Simon, Valerie A. – Journal of Clinical Child and Adolescent Psychology, 2010
Potential pathways from childhood sexual abuse (CSA) to negative self-schemas to subsequent dissociative symptoms and low global self-esteem were examined in a prospective longitudinal study of 160 ethnically diverse youth with confirmed CSA histories. Participants were interviewed at the time of abuse discovery, when they were 8 to 15 years of…
Descriptors: Sexual Abuse, Child Abuse, Schemata (Cognition), Self Esteem
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Tanha, Marieh; Beck, Connie J. A.; Figueredo, Aurelio Jose; Raghavan, Chitra – Journal of Interpersonal Violence, 2010
Research argues that coercive control (CC) is a special case of intimate partner violence (IPV). The present study hypothesized that instead CC is the "motivator" for other types of IPV, with control of the victim as the goal. When CC fails, physical types of IPV are used. This hypothesized relationship was tested using a large matched sample of…
Descriptors: Violence, Sexual Abuse, Females, Structural Equation Models
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Lee, Jie Qi; McInerney, Dennis M.; Liem, Gregory Arief D.; Ortiga, Yasmin P. – Contemporary Educational Psychology, 2010
This research aimed to study the relationships between students' future goals (FGs) and their immediate achievement goal orientations (AGOs) among 5733 Singaporean secondary school students (M age = 14.18, SD = 1.26; 53% boys). To this end, we hypothesized that the relationships between like valenced FGs and AGOs (both intrinsic or both extrinsic)…
Descriptors: Structural Equation Models, Incentives, Goal Orientation, Prediction
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Vogel, David L.; Shechtman, Zipora; Wade, Nathaniel G. – Counseling Psychologist, 2010
Public and self-stigmas have been implicated as factors in the underutilization of individual counseling. However, group counseling is also underutilized, and yet scholars know very little about the role of different types of stigma on attitudes toward seeking group counseling. Therefore, the current study examined the relationships between public…
Descriptors: Structural Equation Models, Group Counseling, Social Bias, Self Concept
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Lee, Hyeon Woo; Lim, Kyu Yon; Grabowski, Barbara L. – Educational Technology Research and Development, 2010
Comprehension of science topics occurs when learners meaningfully generate relationships and conceptions about what they read. In this generation process, learners' cognitive and metacognitive regulation is one of the most critical factors influencing learning. However, learners are not always successful in regulating their own learning,…
Descriptors: Feedback (Response), Undergraduate Students, Structural Equation Models, Learning Strategies
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Shim, Soyeon; Barber, Bonnie L.; Card, Noel A.; Xiao, Jing Jian; Serido, Joyce – Journal of Youth and Adolescence, 2010
This cross-sectional study tests a conceptual financial socialization process model, specifying four-levels that connect anticipatory socialization during adolescence to young adults' current financial learning, to their financial attitudes, and to their financial behavior. A total of 2,098 first-year college students (61.9% females) participated…
Descriptors: College Freshmen, Socialization, Structural Equation Models, Parent Role
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Baumgartner, Susanne E.; Valkenburg, Patti M.; Peter, Jochen – Journal of Youth and Adolescence, 2010
The main aim of this study was to investigate the causal nature of the relationship between adolescents' risky sexual behavior on the internet and their perceptions of this behavior. Engagement in the following online behaviors was assessed: searching online for someone to talk about sex, searching online for someone to have sex, sending intimate…
Descriptors: Structural Equation Models, Risk, Adolescents, Sexuality
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Giota, Joanna – Scandinavian Journal of Educational Research, 2010
In this study, first- and second-order confirmatory factor analyses were used to investigate the structure of the different types of academic, social, and future goals pursued by adolescents in school, and whether goals can be hierarchically organized. A multiple goals perspective on goal preferences was adopted. The study was based on 10,000…
Descriptors: Student Motivation, Adolescents, Foreign Countries, Factor Analysis
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Mayer, Matthew J. – Journal of School Violence, 2010
The 1995-2005 School Crime Supplement datasets were analyzed using structural equation modeling. Converging evidence across multiple analyses suggests that secure school building policies may not be systematically linked to school disorder and may be more a reactive measure in response to other concerns. Most importantly, measures of incivility…
Descriptors: Violence, Crime, Structural Equation Models, School Buildings
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Montgomery, Guy H.; Hallquist, Michael N.; Schnur, Julie B.; David, Daniel; Silverstein, Jeffrey H.; Bovbjerg, Dana H. – Journal of Consulting and Clinical Psychology, 2010
Objective: The present study was designed to test the hypotheses that response expectancies and emotional distress mediate the effects of an empirically validated presurgical hypnosis intervention on postsurgical side effects (i.e., pain, nausea, and fatigue). Method: Women (n = 200) undergoing breast-conserving surgery (mean age = 48.50 years;…
Descriptors: Control Groups, Fatigue (Biology), Intervention, Structural Equation Models
Geske, Andrejs; Ozola, Antra – Online Submission, 2009
The results of IEA (The International Association for the Evaluation of Educational Achievement) PIRLS 2006 (Progress in International Reading Literacy Study) has showed that Latvia has the 6th largest gender gap in reading literacy scores and that is an indication of a serious problem of education in this country. The purpose of the paper is to…
Descriptors: Reading Achievement, Gender Differences, Context Effect, Educational Environment
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Daniels, Lia M.; Stupnisky, Robert H.; Pekrun, Reinhard; Haynes, Tara L.; Perry, Raymond P.; Newall, Nancy E. – Journal of Educational Psychology, 2009
Affect and emotions are frequently seen as outcomes of mastery and performance goals, but affective experiences may also predict goal adoption. In a predictive study (N = 669 first-year college students), the authors used structural equation modeling to estimate relationships from 2 initial affective experiences to mastery and performance-approach…
Descriptors: College Freshmen, Structural Equation Models, Goal Orientation, Psychological Patterns
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Saris, Willem E.; Satorra, Albert; van der Veld, William M. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes…
Descriptors: Structural Equation Models, Validity, Goodness of Fit, Evaluation Methods
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