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Levi, Uzi; Einav, Michal; Ziv, Orit; Raskind, Ilana; Margalit, Malka – European Journal of Psychology of Education, 2014
This study sought to extend the research on adolescents' hope, academic expectations, and average grades. The hope theory (Snyder, "Psychological Inquiry" 13(4):249-275, 2002), the salutogenic paradigm (with a focus on sense of coherence (SOC) (Antonovsky 1987)), and Bandura's ("Journal of Management" 38(1):9-44,…
Descriptors: High School Students, Grade 10, Expectation, Academic Achievement
Pekrun, Reinhard; Hall, Nathan C.; Goetz, Thomas; Perry, Raymond P. – Journal of Educational Psychology, 2014
A theoretical model linking boredom and academic achievement is proposed. Based on Pekrun's (2006) control-value theory of achievement emotions, the model posits that boredom and achievement reciprocally influence each other over time. Data from a longitudinal study with college students (N = 424) were used to examine the hypothesized effects. The…
Descriptors: Psychological Patterns, Academic Achievement, Causal Models, College Students
Parco-Tropicales, Marishirl; de Guzman, Allan B. – Asia Pacific Education Review, 2014
In recent years, wisdom is seen as a key resource for school leaders in dealing with the dynamics of the changing school environments. This study purports to expand the growing interest on wisdom by testing a model that describes the impact of transformational, visionary, charismatic and ethical leadership styles on wise leadership development…
Descriptors: Foreign Countries, Leadership Styles, Principals, Secondary Schools
El-Sheikh, Mona; Bagley, Erika J.; Keiley, Margaret K.; Erath, Stephen A. – Journal of Early Adolescence, 2014
This study examined longitudinal relations between sleep and body mass index (BMI) from late childhood ([X-bar] age = 9.44 at T1) to early adolescence ([X-bar] age = 11.36 at T3) with a relatively large (n = 273 at T1) and diverse (35% African Americans) sample. Sleep was assessed with actigraphy-based sleep minutes and self-reported sleep…
Descriptors: Sleep, Body Composition, Longitudinal Studies, Children
Dickinson, Emily R.; Adelson, Jill L. – Practical Assessment, Research & Evaluation, 2014
This study uses a nationally representative student dataset to explore the limitations of commonly used measures of socioeconomic status (SES). Among the identified limitations are patterns of missing data that conflate the traditional conceptualization of SES with differences in family structure that have emerged in recent years and a lack of…
Descriptors: Socioeconomic Status, Measures (Individuals), Kindergarten, Young Children
Development and Validation of the Test Takers' Metacognitive Awareness Reading Questionnaire (TMARQ)
Zhang, Limei; Aryadoust, Vahid; Zhang, Lawrence Jun – Asia-Pacific Education Researcher, 2014
This article reports the development of the Test Takers' Metacognitive Awareness Reading Questionnaire (TMARQ) which measures test takers' metacognition in reading comprehension tests. The TMARQ comprises seven subscales: planning strategies, evaluating strategies, monitoring strategies, strategies for identifying important information,…
Descriptors: Metacognition, Reading Tests, Questionnaires, Program Validation
Song, Changsoo – ProQuest LLC, 2014
Public and non-profit organizations are operating different types of programs to help micro-enterprises appropriately adopt and utilize information technology (IT) for their businesses. Some programs provide mentoring or consultation services; some simply deliver discounted hardware and software; and some offer training services. However, it is…
Descriptors: Information Technology, Small Businesses, Influences, Adoption (Ideas)
Andrew J. Martin; Harry Nejad; Susan Colmar; Gregory Arief D. Liem – Sage Research Methods Cases, 2014
This case study describes a program of research that developed a new measure--the Adaptability Scale--and then tested this new measure through a set of substantive research questions and publications. Three phases of this research program are detailed: a measurement phase, a modeling phase, and a mediation phase. The aim of this case study is to…
Descriptors: Test Construction, Measures (Individuals), Research Methodology, Factor Analysis
Yuan, Ke-Hai; Zhang, Zhiyong – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Yuan and Hayashi (2010) introduced 2 scatter plots for model and data diagnostics in structural equation modeling (SEM). However, the generation of the plots requires in-depth understanding of their underlying technical details. This article develops and introduces an R package semdiag for easily drawing the 2 plots. With a model specified in EQS…
Descriptors: Structural Equation Models, Statistical Analysis, Robustness (Statistics), Computer Software
Heene, Moritz; Hilbert, Sven; Freudenthaler, H. Harald; Buhner, Markus – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This simulation study investigated the sensitivity of commonly used cutoff values for global-model-fit indexes, with regard to different degrees of violations of the assumption of uncorrelated errors in confirmatory factor analysis. It is shown that the global-model-fit indexes fell short in identifying weak to strong model misspecifications under…
Descriptors: Structural Equation Models, Goodness of Fit, Factor Analysis, Correlation
Mooijaart, Ab; Satorra, Albert – Psychometrika, 2012
Starting with Kenny and Judd ("Psychol. Bull." 96:201-210, 1984) several methods have been introduced for analyzing models with interaction terms. In all these methods more information from the data than just means and covariances is required. In this paper we also use more than just first- and second-order moments; however, we are aiming to…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Statistical Analysis
Wolf, Erika J.; Harrington, Kelly M.; Clark, Shaunna L.; Miller, Mark W. – Educational and Psychological Measurement, 2013
Determining sample size requirements for structural equation modeling (SEM) is a challenge often faced by investigators, peer reviewers, and grant writers. Recent years have seen a large increase in SEMs in the behavioral science literature, but consideration of sample size requirements for applied SEMs often relies on outdated rules-of-thumb.…
Descriptors: Sample Size, Structural Equation Models, Statistical Analysis, Statistical Bias
Beauducel, Andre; Leue, Anja – Practical Assessment, Research & Evaluation, 2013
In several studies unit-weighted sum scales based on the unweighted sum of items are derived from the pattern of salient loadings in confirmatory factor analysis. The problem of this procedure is that the unit-weighted sum scales imply a model other than the initially tested confirmatory factor model. In consequence, it remains generally unknown…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Personality Measures
Parpala, Anna; Lindblom-Ylanne, Sari; Komulainen, Erkki; Entwistle, Noel – Learning Environments Research, 2013
The study examined the use of the modified Experiences of Teaching and Learning Questionnaire (ETLQ) in the Finnish context by focusing on its factor structures and comparing them with those for British data. A total of 2,509 Finnish and 2,710 British students completed the questionnaire. The comparison of the factor structures were conducted…
Descriptors: Questionnaires, Foreign Countries, Structural Equation Models, Factor Structure
Huang, Wenhao David; Johnson, Tristan E.; Han, Seung-Hyun Caleb – Internet and Higher Education, 2013
Colleges and universities have begun to understand the instructional potential of digital game-based learning (DGBL) due to digital games' immersive features. These features, however, might overload learners as excessive motivational and cognitive stimuli thus impeding intended learning. Current research, however, lacks empirical evidences to…
Descriptors: Computers, College Students, Structural Equation Models, Educational Games