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Ng, Eddie C. W.; Lam, Jasmine K. M.; Chan, Charles C. H. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2017
Youths living in poverty may experience less developmental support. Although the importance of hope, relational support, and community support for positive adaptation is acknowledged, how they combine to affect psychosocial adjustment is unknown. This study, drawing on 830 low-income youths (11-18 years old) in Hong Kong, provides evidence that…
Descriptors: Adjustment (to Environment), Low Income Groups, Youth, Poverty
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Kapucu, Serkan; Bahçivan, Eralp – Research in Science & Technological Education, 2015
Background: There are some theoretical evidences that explain the relationships between core beliefs (i.e., epistemological beliefs) and peripheral beliefs (self-efficacy in learning) in the literature. The close relationships of such type of beliefs with attitudes are also discussed by some researchers. Constructing a model that investigates…
Descriptors: High School Students, Epistemology, Self Efficacy, Science Instruction
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Brandmaier, Andreas M.; von Oertzen, Timo; McArdle, John J.; Lindenberger, Ulman – Psychological Methods, 2013
In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques. SEM Trees combine the strengths of SEMs and the decision tree paradigm by building tree…
Descriptors: Structural Equation Models, Multivariate Analysis, Computation, Factor Analysis
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von Eye, Alexander; Wiedermann, Wolfgang – Educational and Psychological Measurement, 2014
Approaches to determining direction of dependence in nonexperimental data are based on the relation between higher-than second-order moments on one side and correlation and regression models on the other. These approaches have experienced rapid development and are being applied in contexts such as research on partner violence, attention deficit…
Descriptors: Statistical Analysis, Factor Analysis, Structural Equation Models, Correlation
Della Sala, Matthew Robert – ProQuest LLC, 2014
School finance scholars have called for the alignment of accountability policies with state finance formulae to allocate resources toward student learning goals (Adams, 2008; Ryan, 2008; Superfine, 2009; Verstegen, 2002). With the presence of accountability policies that focus on improving students' academic achievement, state finance systems must…
Descriptors: Elementary School Students, Academic Achievement, Structural Equation Models, Accountability
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Aminbeidokhti, Aliakbar; Jamshidi, Laleh; Mohammadi Hoseini, Ahmad – Studies in Higher Education, 2016
Many scientists have suggested that both total quality management (TQM) and organizational learning can separately and effectively reinforce innovation. But is there any relationship between TQM and organizational learning? This study has two main purposes: (1) determining the causal relationship between TQM, organizational learning and…
Descriptors: Total Quality Management, Innovation, Surveys, Correlation
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Braze, David; Katz, Leonard; Magnuson, James S.; Mencl, W. Einar; Tabor, Whitney; Van Dyke, Julie A.; Gong, Tao; Johns, Clinton L.; Shankweiler, Donald P. – Reading and Writing: An Interdisciplinary Journal, 2016
Gough and Tunmer's (1986) simple view of reading (SVR) proposed that reading comprehension (RC) is a function of language comprehension (LC) and word recognition/decoding. Braze et al. (2007) presented data suggesting an extension of the SVR in which knowledge of vocabulary (V) affected RC over and above the effects of LC. Tunmer and Chapman…
Descriptors: Factor Analysis, Structural Equation Models, Reading Skills, Reading Comprehension
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Rathwell, Scott; Young, Bradley W. – Measurement in Physical Education and Exercise Science, 2016
Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99…
Descriptors: Factor Analysis, Structural Equation Models, College Athletics, Athletes
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Ravand, Hamdollah; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2016
Structural equation modeling (SEM) has become widespread in educational and psychological research. Its flexibility in addressing complex theoretical models and the proper treatment of measurement error has made it the model of choice for many researchers in the social sciences. Nevertheless, the model imposes some daunting assumptions and…
Descriptors: Least Squares Statistics, Structural Equation Models, Nonparametric Statistics, Sample Size
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Gaudreau, Patrick; Franche, Véronique; Gareau, Alexandre – Journal of Psychoeducational Assessment, 2016
The 2 × 2 model of perfectionism conceptualizes perfectionism as the within-person combinations of self-oriented and socially prescribed perfectionism to define four subtypes of perfectionism. This model posits that each subtype is distinctively associated with self-determined motivation and psychological adjustment. Results of latent moderated…
Descriptors: Personality Traits, Structural Equation Models, Emotional Adjustment, Self Determination
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Chung, ChihMing; Liao, Xiaolan; Song, Hairong; Lee, Taehun – Measurement in Physical Education and Exercise Science, 2016
The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in…
Descriptors: Structural Equation Models, Factor Analysis, Self Esteem, Measurement Techniques
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Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
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Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models
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Vaughan, Robert; Laborde, Sylvain – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to assess the psychometrics properties of the Emotional Intelligence Scale and assess the measurement invariance across elite (n = 367), amateur (n = 629), and non-athletes (n = 550). In total, 1,546 participants from various sports completed the emotional intelligence scale. Several competing models were compared…
Descriptors: Psychometrics, Emotional Intelligence, Measures (Individuals), Athletes
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Hodis, Flaviu A. – Journal of Educational Psychology, 2018
This article aims to enhance understanding of the nomological network of expectancy of success beliefs related to mathematics. To this end, the paper uses the expectancy-value, regulatory focus, and regulatory mode theoretical frameworks and investigates 3 key classes of motivation predictors: (a) General motivation predispositions that center on…
Descriptors: Mathematics Instruction, Mathematics Achievement, Expectation, Foreign Countries
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