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Hall, James; Malmberg, Lars-Erik; Lindorff, Ariel; Baumann, Nicole; Sammons, Pam – International Journal of Research & Method in Education, 2020
This paper presents a new methodological model termed Airbag Moderation: That the relationship between two variables varies as a function of a third, and that this third variable depends upon one of the others. Airbag Moderation extends and bridges a number of theories and it can be implemented using existing statistical models and software…
Descriptors: Multivariate Analysis, Models, Evaluation Methods, Educational Research
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Kyriakides, Leonidas; Charalambous, Evi – International Journal of Research & Method in Education, 2020
This paper refers to whole school interventions aiming to promote student learning outcomes through improving the functioning of school factors. Evaluation studies of these interventions mainly measure their impact on student learning outcomes. This paper argues for the importance of studying the mechanisms of whole school interventions through…
Descriptors: Guidelines, Structural Equation Models, Intervention, Educational Improvement
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Malmberg, Lars-Erik – International Journal of Research & Method in Education, 2020
With a growing interest in research on educational processes, there is a need to overview suitable latent variable models for students' learning experiences in real-time. This tutorial provides an introduction to intraindividual (multilevel) structural equation models (ISEM) for the analysis of process data (e.g. intensive longitudinal,…
Descriptors: Structural Equation Models, Learning Experience, Educational Research, Personal Autonomy
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Marcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences
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Bardach, Lisa; Yanagida, Takuya; Lüftenegger, Marko – International Journal of Research & Method in Education, 2020
The present article focuses on classroom climate effects in the context of multi-level structural equation modelling. We first discuss the need to appropriately model classroom climate as a classroom-level construct. We then analyse the effects of classroom climate (academic goal structures and social goal structures) on students' motivation in…
Descriptors: Classroom Environment, Structural Equation Models, Goal Orientation, Mastery Learning
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Thien, Lei Mee – International Journal of Research & Method in Education, 2020
This study aims to assess the quality of school life as a second-order formative construct and provide empirical evidence for its measurement model. Data were collected from 1459 Malaysian Grade Five pupils. A partial least squares structural equation modelling (PLS-SEM) approach was used for data analysis. Findings supported that six reflective…
Descriptors: Quality of Life, Educational Environment, Elementary School Students, Grade 5
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Shafaei, Azadeh; Nejati, Mehran; Abd Razak, Nordin – International Journal of Research & Method in Education, 2019
This study was carried out to investigate the discrepancies that international students' geographical region could create on the relationships of adjustment attitude, attachment attitude, and intention after graduation with psychological and sociocultural adaptations. As such, multi-group analysis was performed using partial least squares…
Descriptors: Foreign Students, State Universities, Foreign Countries, Student Adjustment
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Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
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Bulut, Okan; Lei, Ming; Guo, Qi – International Journal of Research & Method in Education, 2018
Item positions in educational assessments are often randomized across students to prevent cheating. However, if altering item positions results in any significant impact on students' performance, it may threaten the validity of test scores. Two widely used approaches for detecting position effects -- logistic regression and hierarchical…
Descriptors: Alternative Assessment, Disabilities, Computer Assisted Testing, Structural Equation Models
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Bai, Haiyan; Sivo, Stephen A.; Pan, Wei; Fan, Xitao – International Journal of Research & Method in Education, 2016
Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method…
Descriptors: Sampling, Structural Equation Models, Statistical Inference, Comparative Analysis
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Bai, Li; Hudson, Peter; Millwater, Jan; Tones, Megan – International Journal of Research & Method in Education, 2013
A 30-item survey was devised to determine Chinese TEFL (Teaching English as a Foreign Language) academics' potential for conducting research. A five-part Likert scale was used to gather data from 182 academics on four factors: (1) perceptions on teaching-research nexus, (2) personal perspectives for conducting research, (3) predispositions for…
Descriptors: Productivity, Factor Analysis, Statistical Analysis, English (Second Language)