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Igor Esnaola; Albert Sesé; Lorea Azpiazu; Yina Wang – British Journal of Educational Psychology, 2024
Background: Modelling academic self-concept through second-order factors or bifactor structures is an important issue with substantive and practical implications; besides, the bifactor model has not been analysed with a Chinese sample and cross-cultural studies in the academic self-concept are scarce. Likewise, latent structure validity evidence…
Descriptors: Academic Achievement, Self Concept, Psychometrics, Validity
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Mumbardó-Adam, Cristina; Guàrdia-Olmos, Joan; Giné, Climent; Shogren, Karrie A.; Vicente Sánchez, Eva – American Journal on Intellectual and Developmental Disabilities, 2018
Instruments to measure self-determination have only been available in the Spanish language to date, for adolescents with intellectual disability (ID). However, given the development of a new measure of self-determination for youth with and without disabilities, the "Self-Determination Inventory," there is a need to adapt and validate…
Descriptors: Psychometrics, Self Determination, Measures (Individuals), Measurement Techniques
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Dombrowski, Stefan C.; Golay, Philippe; McGill, Ryan J.; Canivez, Gary L. – Psychology in the Schools, 2018
Bayesian structural equation modeling (BSEM) was used to investigate the latent structure of the Differential Ability Scales-Second Edition core battery using the standardization sample normative data for ages 7-17. Results revealed plausibility of a three-factor model, consistent with publisher theory, expressed as either a higher-order (HO) or a…
Descriptors: Structural Equation Models, Bayesian Statistics, Factor Analysis, Aptitude Tests
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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
Shogren, Karrie A.; Wehmeyer, Michael L.; Little, Todd D.; Forber-Pratt, Anjali J.; Palmer, Susan B.; Seo, Hyojeong – Career Development and Transition for Exceptional Individuals, 2017
The purpose of this article is to describe preliminary psychometric characteristics of a student self-report measure of self-determination, the "Self-Determination Inventory: Student Report" version (SDI-SR), designed for youth with and without disabilities. We administered the draft assessment to 311 youth and examined item functioning…
Descriptors: Construct Validity, Test Reliability, Scores, Psychometrics
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Jelas, Zalizan M.; Azman, Norzaini; Zulnaidi, Hutkemri; Ahmad, Nor Aniza – Learning Environments Research, 2016
The aim of this study was to examine the associations between learning support, student engagement and academic achievement among adolescents. We also examined the extent to which affective, behavioural and cognitive engagement play a mediating role in students' perceived learning support from parents, teachers and peers, and contribute to their…
Descriptors: Adolescents, Learner Engagement, Academic Achievement, Foreign Countries
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Stiglbauer, Barbara; Gnambs, Timo; Gamsjager, Manuela; Batinic, Bernad – Journal of School Psychology, 2013
In line with self-determination theory and Fredrickson's (2001) broaden-and-build theory of positive emotions, this study adopts a positive perspective on students' school experiences and their general psychological functioning. The reciprocal effects of positive school experiences and happiness, a dimension of affective well-being, are examined…
Descriptors: Psychological Patterns, Well Being, Secondary School Students, Structural Equation Models
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Ferrer, Emilio; Whitaker, Kirstie J.; Steele, Joel S.; Green, Chloe T.; Wendelken, Carter; Bunge, Silvia A. – Developmental Science, 2013
The structure of the human brain changes in several ways throughout childhood and adolescence. Perhaps the most salient of these changes is the strengthening of white matter tracts that enable distal brain regions to communicate with one another more quickly and efficiently. Here, we sought to understand whether and how white matter changes…
Descriptors: Brain, Psychometrics, Diagnostic Tests, Cognitive Ability
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Zullig, Keith J.; Collins, Rani; Ghani, Nadia; Patton, Jon M.; Huebner, E. Scott; Ajamie, Jean – Journal of School Health, 2014
Background: The School Climate Measure (SCM) was developed and validated in 2010 in response to a dearth of psychometrically sound school climate instruments. This study sought to further validate the SCM on a large, diverse sample of Arizona public school adolescents (N = 20,953). Methods: Four SCM domains (positive student-teacher relationships,…
Descriptors: Psychometrics, Educational Environment, Validity, Public Schools
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Reise, Steven P. – Multivariate Behavioral Research, 2012
Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling "construct-relevant" multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957) and highlight its…
Descriptors: Models, Factor Structure, Factor Analysis, Correlation
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Casas, Ferran; Sarriera, Jorge Castella; Alfaro, Jaime; Gonzalez, Monica; Malo, Sara; Bertran, Irma; Figuer, Cristina; da Cruz, Daniel Abs; Bedin, Livia; Paradiso, Angela; Weinreich, Karin; Valdenegro, Boris – Social Indicators Research, 2012
The 7-item adult version of the Personal Wellbeing scale (Cummins et al. Social Indic Res 64:159-190, 2003) was administered to two samples of adolescents aged 12-16 in Brazil (N = 1,588) and Spain (N = 2,900), and to a sample of adolescents aged 14-16 in Chile (N = 843). The results obtained were analyzed to determine its psychometric…
Descriptors: Life Satisfaction, Reliability, Factor Structure, Adolescents
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Simsek, Omer Faruk; Demir, Meliksah – Social Indicators Research, 2013
Past empirical research relying on self-determination theory (SDT) has consistently shown that parental support of basic psychological needs (BPN) is associated with adolescent happiness. Yet, the specific mechanisms accounting for this link are still undetermined. The present study aimed to address this gap in the literature by testing a…
Descriptors: Psychological Needs, Psychological Patterns, Well Being, Adolescents
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Chen, Ying-Chieh; Li, Ren-Hau; Chen, Sheng-Hwang – Social Indicators Research, 2013
The purpose of this cross-sectional study was to test a cause-and-effect model of factors affecting leisure satisfaction among Taiwanese adolescents. A structural equation model was proposed in which the relationships among leisure motivation, leisure involvement, and leisure satisfaction were explored. The study collected data from 701 adolescent…
Descriptors: Foreign Countries, Student Motivation, Adolescents, Structural Equation Models
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Casas, Ferran; Baltatescu, Sergiu; Bertran, Irma; Gonzalez, Monica; Hatos, Adrian – Social Indicators Research, 2013
This paper presents results from two samples of adolescents aged 13-16 from Romania and Spain (N = 930 + 1,945 = 2,875). The original 7-item version of the Personal Well-Being Index (PWI) was used, together with an item on overall life satisfaction (OLS) and a set of six items related to satisfaction with school. A confirmatory factor analysis of…
Descriptors: Foreign Countries, Structural Equation Models, Life Satisfaction, Factor Analysis
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Kaufman, Scott Barry; DeYoung, Colin G; Gray, Jeremy R.; Brown, Jamie; Mackintosh, Nicholas – Intelligence, 2009
Recent evidence suggests the existence of multiple cognitive mechanisms that support the general cognitive ability factor (g). Working memory and processing speed are the two best established candidate mechanisms. Relatively little attention has been given to the possibility that associative learning is an additional mechanism contributing to g.…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Short Term Memory
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