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Kopystynska, Olena; Spinrad, Tracy L.; Seay, Danielle M.; Eisenberg, Nancy – Developmental Psychology, 2016
The goal of this work was to examine the complex interrelation of mothers' early gentle control and sensitivity in predicting children's effortful control (EC) and academic functioning. Maternal gentle control, maternal sensitivity, and children's EC were measured when children were 18, 30, and 42 months of age (T1, T2, and T3, respectively), and…
Descriptors: Mothers, Child Rearing, Self Control, Young Children
Eom, Sean B.; Ashill, Nicholas – Decision Sciences Journal of Innovative Education, 2016
A stream of research over the past decade that identifies predictors of e-learning success suggests that there are several critical success factors (CSFs) that must be managed effectively to fully realize promise for e-learning. Grounded in constructivist learning theories, this study advances previous work on CSFs in university online education.…
Descriptors: Electronic Learning, Learning Processes, Outcomes of Education, Distance Education
Kirby, Anne V. – Journal of Autism and Developmental Disorders, 2016
Understanding the complex relationships among factors that may predict the outcomes of young adults with autism spectrum disorder (ASD) is of utmost importance given the increasing population undergoing and anticipating the transition to adulthood. With a sample of youth with ASD (n = 1170) from the National Longitudinal Transition Study-2,…
Descriptors: Autism, Pervasive Developmental Disorders, Young Adults, Parent Attitudes
Sagnak, Mesut – Eurasian Journal of Educational Research, 2016
Problem Statement: Scientists support that success cannot be achieved through schools with a bureaucratic structure in which top-down relation is emphasized but rather with a decentralized structure of authority. Scientists also posit that participative management is the best approach. Participation or participative leadership is defined as…
Descriptors: Participative Decision Making, Instructional Leadership, Educational Administration, Administrative Organization
Students' Awareness of Science Teachers' Leadership, Attitudes toward Science, and Positive Thinking
Lu, Ying-Yan; Chen, Hsiang-Ting; Hong, Zuway-R.; Yore, Larry D. – International Journal of Science Education, 2016
There appears to be a complex network of cognitive and affective factors that influence students' decisions to study science and motivate their choices to engage in science-oriented careers. This study explored 330 Taiwanese senior high school students' awareness of their science teacher's learning leadership and how it relates to the students'…
Descriptors: Self Concept, Science Teachers, Teacher Leadership, Positive Attitudes
Wang, Yiji; Deng, Ciping; Yang, Xiangdong – School Psychology International, 2016
Parental involvement in children's education is a critical factor associated with children's socio-emotional and educational outcomes. However, low parental involvement occurs more often among economically disadvantaged families. It is unclear what mechanisms may explain the association between family economic status and parents' educational…
Descriptors: Foreign Countries, Family Income, Socioeconomic Status, Parent Participation
Rosenbaum, James E.; Becker, Kelly Iwanaga; Cepa, Kennan A.; Zapata-Gietl, Claudia E. – Research in Higher Education, 2016
Research often focuses on how students fail to meet college expectations, but it rarely asks how colleges fail to meet students' expectations. This study examines students' expectations of college and their institutional confidence--their level of certainty that college will meet their expectations. Drawing on 65 pilot interviews and a survey of…
Descriptors: College Students, Student Attitudes, Educational Attitudes, Expectation
Villafañe, Sachel M.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2016
Decisions about instruction, research, or policy often require the interpretation of student assessment scores. Increasingly, attitudinal variables are included in an assessment strategy, and it is important to ensure that interpretations of students' attitudinal status are based on instrument scores that apply similarly for diverse students. In…
Descriptors: Scientific Attitudes, Introductory Courses, Chemistry, Attitude Measures
Wray-Lake, Laura; Sloper, Michelle A. – Applied Developmental Science, 2016
Civic engagement is an important marker of thriving among adolescents, and more research is needed that clarifies the ecological assets (positive supports across settings) that foster youth civic engagement. Simultaneously modeling associations between multiple ecological assets and civic behaviors can provide a nuanced view of the way…
Descriptors: Citizen Participation, Volunteers, Political Attitudes, Correlation
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Mishra, Sanjaya; Sharma, Meenu; Sharma, Ramesh Chander; Singh, Alka; Thakur, Atul – Open Praxis, 2016
This paper describes the entire methodology for the development of a scale to measure Attitude towards Open Educational Resources (ATOER). Traditionally, it is observed that some teachers are more willing to share their work than others, indicating the need to understand teachers' psychological and behavioural determinants that influence use of…
Descriptors: Resource Units, Computer Uses in Education, Shared Resources and Services, Test Construction
Akbag, Müge; Küçüktepe, Seval Eminoglu; Özmercan, Esra Eminoglu – Journal of Education and Training Studies, 2016
Emotional literacy is described as being aware of our own feelings in order to improve our personal power and life quality as well as people's life quality around us. In this study, the aim is to develop a Likert scale which measures people's emotional literacy in order to be used both in descriptive and experimental researches. Related literature…
Descriptors: Foreign Countries, Emotional Development, Literacy, Theory of Mind
Kasekende, Francis; Munene, John C.; Otengei, Samson Omuudu; Ntayi, Joseph Mpeera – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to examine relationship between teacher competences and organizational citizenship behavior (OCB) with empowerment as a mediating factor. Design/methodology/approach: The study took a cross-sectional descriptive and analytical design. Using cluster and random sampling procedures, data were obtained from 383…
Descriptors: Teacher Competencies, Organizational Culture, Citizenship, Teacher Empowerment
von der Embse, Nathaniel P.; Sandilos, Lia E.; Pendergast, Laura; Mankin, Ariel – Grantee Submission, 2016
Educator stress has been linked to decreased job satisfaction, negative instructional practices, and poor student outcomes. However, it is unknown whether educators with high teaching efficacy may better cope with the test stress. As such, the primary purpose of the present investigation was to examine the complex relationship between teacher…
Descriptors: Stress Variables, Teaching Conditions, Self Efficacy, Job Satisfaction
Equivalence and Differences between Structural Equation Modeling and State-Space Modeling Techniques
Chow, Sy-Miin; Ho, Moon-ho R.; Hamaker, Ellen L.; Dolan, Conor V. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
State-space modeling techniques have been compared to structural equation modeling (SEM) techniques in various contexts but their unique strengths have often been overshadowed by their similarities to SEM. In this article, we provide a comprehensive discussion of these 2 approaches' similarities and differences through analytic comparisons and…
Descriptors: Structural Equation Models, Differences, Statistical Analysis, Models

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