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Santo, Jonathan Bruce; Bukowski, William M.; Stella-Lopez, Luz; Carmago, Gina; Mayman, Shari B.; Adams, Ryan E. – Journal of Research on Adolescence, 2013
Multilevel modeling was used to examine contextual variations in the structure of the "self" in a sample of 918 lower- and upper-middle class early adolescents (M age = 10.37 years, SD = 1.19) from a "majority" cultural context (i.e., Barranquilla in the Caribbean region of Colombia) and a "nonmajority" context (i.e.,…
Descriptors: Hierarchical Linear Modeling, Early Adolescents, Self Concept, Middle Class
Hong, Jon-Chao; Hwang, Ming-Yueh; Chen, Yu-Ju; Lin, Pei-Hsin; Huang, Yao-Tien; Cheng, Hao-Yueh; Lee, Chih-Chin – Computers & Education, 2013
Museums in Taiwan have developed various digital archives, but few people have visited these digital archives. Therefore, this study designed a digital archaeology game for high school students to play. Based on the concept of "learning for playing" (i.e., players who want to win will study more), the digital archaeology game contest…
Descriptors: Computer Games, Archaeology, High School Students, Intention
Cheng, Hsiu-Lan; Kwan, Kwong-Liem Karl; Sevig, Todd – Journal of Counseling Psychology, 2013
Many college students underuse professional psychological help for mental health difficulties. The stigma associated with seeking such help appears to be one of the reasons for this underuse. Levels of psychological distress and past use of counseling/psychotherapy have been found to be important correlates of stigma associated with seeking…
Descriptors: Minority Groups, African Americans, Ethnicity, Asian Americans
Duffy, Ryan D.; Autin, Kelsey L. – Journal of Counseling Psychology, 2013
Research has suggested there is an important distinction between perceiving a calling and living a calling. With a sample of 542 working adults, the current study examined (a) the degree to which perceiving a calling and living a calling differed according to yearly income and level of educational attainment and (b) potential mediators that may…
Descriptors: Career Choice, Hermeneutics, Employment, Attitudes
Chai, Ching Shing; Ng, Eugenia M. W.; Li, Wenhao; Hong, Huang-Yao; Koh, Joyce H. L. – Australasian Journal of Educational Technology, 2013
The Technological Pedagogical Content Knowledge (TPCK) framework has been adopted by many educational technologists and teacher educators for the research and development of knowledge about the pedagogical uses of Information and Communication Technologies (ICT) in classrooms. While the framework is potentially very important, efforts to survey…
Descriptors: Educational Technology, Foreign Countries, Preservice Teachers, Structural Equation Models
Yerdelen-Damar, Sevda; Pesman, Haki – Journal of Educational Research, 2013
The authors explored how gender and socioeconomic status (SES) predicted physics achievement as mediated by metacognition and physics self-efficacy. Data were collected from 338 high school students. The model designed for exploring how gender and SES-related differences in physics achievement were explained through metacognition and physics…
Descriptors: Physics, Science Instruction, Foreign Countries, Socioeconomic Status
Wong, Kung-Teck; Teo, Timothy; Russo, Sharon – Asia-Pacific Education Researcher, 2013
A review of the literature shows that the model for the Unified Theory of Acceptance and Use of Technology (UTAUT) has received only limited validation in educational contexts. This limitation led to this study to determine the applicability of the UTAUT model with an educational perspective and to statistically explain the factors affecting…
Descriptors: Bulletin Boards, Visual Aids, Educational Technology, Interactive Video
Byrnes, Hilary F.; Miller, Brenda A.; Chamratrithirong, Aphichat; Rhucharoenpornpanich, Orratai; Cupp, Pamela K.; Atwood, Katharine A.; Fongkaew, Warunee; Rosati, Michael J.; Chookhare, Warunee – Youth & Society, 2013
Substance use and delinquency in Thai adolescents are growing public health concerns. Research has linked neighborhood characteristics to these outcomes, with explanations focused on neighborhood disorganization, social cohesion, and social control. This study examines the independent associations of these neighborhood constructs with Thai…
Descriptors: Neighborhoods, Delinquency, Social Control, Structural Equation Models
Honken, Nora B.; Ralston, Patricia A. S. – Journal of Advanced Academics, 2013
This study investigated the relationship among lack of self-control, academic ability, and academic performance for a cohort of freshman engineering students who were, with a few exceptions, extremely high achievers in high school. Structural equation modeling analysis led to the conclusion that lack of self-control in high school, as measured by…
Descriptors: Academic Ability, Academic Achievement, Grade Point Average, Homework
Zhang, Ying – ProQuest LLC, 2011
Meta-analytic Structural Equation Modeling (MASEM) has drawn interest from many researchers recently. In doing MASEM, researchers usually first synthesize correlation matrices across studies using meta-analysis techniques and then analyze the pooled correlation matrix using structural equation modeling techniques. Several multivariate methods of…
Descriptors: Structural Equation Models, Multivariate Analysis, Meta Analysis, Least Squares Statistics
Odedina, Folakemi T.; Scrivens, John J., Jr.; Larose-Pierre, Margareth; Emanuel, Frank; Adams, Angela Denise; Dagne, Getachew A.; Pressey, Shannon Alexis; Odedina, Oladapo – American Journal of Health Behavior, 2011
Objective: To explore the personal factors related to modifiable prostate cancer risk-reduction and detection behaviors among black men. Methods: Three thousand four hundred thirty (3430) black men were surveyed and structural equation modeling employed to test study hypotheses. Results: Modifiable prostate cancer risk-reduction behavior was found…
Descriptors: Cues, Structural Equation Models, Cancer, Identification
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article is concerned with the question of whether the missing data mechanism routinely referred to as missing completely at random (MCAR) is statistically examinable via a test for lack of distributional differences between groups with observed and missing data, and related consequences. A discussion is initially provided, from a formal logic…
Descriptors: Data Analysis, Statistical Analysis, Probability, Structural Equation Models
Prescriptive Statements and Educational Practice: What Can Structural Equation Modeling (SEM) Offer?
Martin, Andrew J. – Educational Psychology Review, 2011
Longitudinal structural equation modeling (SEM) can be a basis for making prescriptive statements on educational practice and offers yields over "traditional" statistical techniques under the general linear model. The extent to which prescriptive statements can be made will rely on the appropriate accommodation of key elements of research design,…
Descriptors: Research Design, Structural Equation Models, Educational Practices, Inferences
Oud, Johan H. L.; Folmer, Henk – Multivariate Behavioral Research, 2011
This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011), particularly the approximate estimation procedure applied. This procedure is the latent version of the local linear approximation procedure…
Descriptors: Structural Equation Models, Computation, Calculus, Simulation
Cseh, Maria; Manikoth, Nisha N. – Human Resource Development Quarterly, 2011
As the authors of the preceding article (Choi and Jacobs, 2011) have noted, the workplace learning literature shows evidence of the complementary and integrated nature of formal and informal learning in the development of employee competencies. The importance of supportive learning environments in the workplace and of employees' personal learning…
Descriptors: Informal Education, Educational Environment, Workplace Learning, Structural Equation Models