Results for ' Structural Equation Modeling'

991 found
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  1.  86
    Interpreting Structural Equation Modeling Results: A Reply to Martin and Cullen.Paul A. Dion - 2008 - Journal of Business Ethics 83 (3):365-368.
    This article briefly review the fundamentals of structural equation modeling for readers unfamiliar with the technique then goes on to offer a review of the Martin and Cullen paper. In summary, a number of fit indices reported by the authors reveal that the data do not fit their theoretical model and thus the conclusion of the authors that the model was “promising” are unwarranted.
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  2.  14
    Structural Equation Modeling of Vocabulary Size and Depth Using Conventional and Bayesian Methods.Rie Koizumi & Yo In’Nami - 2020 - Frontiers in Psychology 11.
    In classifications of vocabulary knowledge, vocabulary size and depth have often been separately conceptualized (Schmitt, 2014). Although size and depth are known to be substantially correlated, it is not clear whether they are a single construct or two separate components of vocabulary knowledge (Yanagisawa & Webb, 2020). This issue has not been addressed extensively in the literature and can be better examined using structural equation modeling (SEM), with measurement error modeled separately from the construct of interest. The (...)
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  3.  37
    A Structural Equation Modeling of the Relationships Between Parenting Styles, Students’ Personality Traits, and Students’ Achievement Goal Orientation.Faramarz Asanjarani, Khadijeh Aghaei, Tahereh Fazaeli, Adnan Vaezi & Monika Szczygieł - 2022 - Frontiers in Psychology 12.
    Recently, researchers have shown an increased interest in achievement goal orientation correlates. What is not yet clear is the detailed relationships among students’ goal orientation, students’ personality traits, and parenting style. In so doing, this research responds to the need to analyze the importance of parenting styles and students’ traits in explaining the achievement goal orientations. In the exploratory correlational study, 586 Iranian students along with their parents were selected as the sample so as to evaluate the structure of the (...)
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  4.  22
    Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments.Lifang Deng, Miao Yang & Katerina M. Marcoulides - 2018 - Frontiers in Psychology 9.
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  5.  9
    Structural Equation Modeling Analysis on Associations of Moral Distress and Dimensions of Organizational Culture in Healthcare: A Cross-Sectional Study of Healthcare Professionals.Tessy A. Thomas, Shelley Kumar, F. Daniel Davis, Peter Boedeker & Satid Thammasitboon - forthcoming - AJOB Empirical Bioethics.
    Moral distress is a complex phenomenon experienced by individuals across multiple healthcare professions, teams, organizations, and educational settings. It arises when any healthcare professional...
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  6.  6
    Structural Equation Modeling of Drivers’ Situation Awareness Considering Road and Driver Factors.Yanqun Yang, Meifeng Chen, Changxu Wu, Said M. Easa & Xinyi Zheng - 2020 - Frontiers in Psychology 11.
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  7.  85
    Using bifactor exploratory structural equation modeling to examine global and specific factors in measures of sports coaches' interpersonal styles.Andreas Stenling, Andreas Ivarsson, Peter Hassmén & Magnus Lindwall - 2015 - Frontiers in Psychology 6:154492.
    In the present work we investigated distinct sources of construct-relevant psychometric multidimensionality in two sport-specific measures of coaches’ need-supportive (ISS-C) and controlling interpersonal (CCBS) styles. A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim. In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items. In Study 2, (...)
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  8.  21
    The Benefits of Structural Equation Modeling for Developing and Testing Corporate Social Performance Theory.Mark Cordano, Stephanie Welcomer & Andrew Griffiths - 2007 - Proceedings of the International Association for Business and Society 18:121-125.
    Studies of corporate social performance (CSP) research indicate the critical importance of research design and methodology in developing and testing CSP theories. In this paper we analyze data from a study of environmental performance in the U.S. wine industry to demonstrate how the research methodologies can cause researchers to reach different theoretical conclusions from the same data. We conclude that structural equation modeling (SEM) offers CSP researchers valuable tools that can accommodate critical theory development needs.
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  9.  3
    Bifactor exploratory structural equation modeling: A meta-analytic review of model fit.Andreas Gegenfurtner - 2022 - Frontiers in Psychology 13.
    Multivariate behavioral research often focuses on latent constructs—such as motivation, self-concept, or wellbeing—that cannot be directly observed. Typically, these latent constructs are measured with items in standardized instruments. To test the factorial structure and multidimensionality of latent constructs in educational and psychological research, Morin et al. proposed bifactor exploratory structural equation modeling. This meta-analytic review aimed to estimate the extent to which B-ESEM model fit differs from other model representations, including confirmatory factor analysis, exploratory structural (...) modeling, hierarchical CFA, hierarchical ESEM, and bifactor-CFA. The study domains included learning and instruction, motivation and emotion, self and identity, depression and wellbeing, and interpersonal relations. The meta-analyzed fit indices were the χ2/df ratio, the comparative fit index, the Tucker-Lewis index, the root mean square error of approximation, and the standardized root mean squared residual. The findings of this meta-analytic review indicate that the B-ESEM model fit is superior to the fit of reference models. Furthermore, the results suggest that model fit is sensitive to sample size, item number, and the number of specific and general factors in a model. (shrink)
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  10.  3
    A multigroup structural equation modeling analysis of students’ perception, motivation, and performance in computational thinking.Jiachu Ye, Xiaoyan Lai & Gary Ka Wai Wong - 2022 - Frontiers in Psychology 13.
    Students’ perceptions of learning are important predictors of their learning motivation and academic performance. Examining perceptions of learning has meaningful implications for instruction practices, while it has been largely neglected in the research of computational thinking. To contribute to the development of CT education, we explored the influence of students’ perceptions on their motivation and performance in CT acquisition and examined the gender difference in the structural model using a multigroup structural equation modeling analysis. Two hundred (...)
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  11.  11
    Editorial: Recent Advancements in Structural Equation Modeling : From Both Methodological and Application Perspectives.Oi-Man Kwok, Mike W. L. Cheung, Suzanne Jak, Ehri Ryu & Jiun-Yu Wu - 2018 - Frontiers in Psychology 9.
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  12.  16
    Applying Exploratory Structural Equation Modeling to Examine the Student-Teacher Relationship Scale in a Representative Greek Sample.Nikolaos Tsigilis, Athanasios Gregoriadis, Vasilis Grammatikopoulos & Evridiki Zachopoulou - 2018 - Frontiers in Psychology 9.
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  13.  96
    Epistemological Beliefs and Writing Self-Efficacy as Predictors of Second Language Writing Anxiety: A Structural Equation Modeling Approach.Mohamad Heidarzadi, Hamed Barjesteh & Atefeh Nasrollahi Mouziraji - 2022 - Frontiers in Psychology 13.
    This study was carried out to investigate the roles of epistemic beliefs and writing self-efficacy in predicting second language writing anxiety among learners of English as a foreign language. To this end, three validated scales were distributed among 240 EFL students. They were asked to complete the questionnaires during their regular courses. A structural equation modeling approach was utilized to analyze the hypothesized SEM model and the causal paths among the constructs. The direct and indirect path analyses (...)
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  14.  13
    Effects of Stores’ Environmental Components on Chinese Consumers’ Emotions and Intentions to Purchase Luxury Brands: Integrating Partial Least Squares-Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis Approaches.Shaohua Yang, Salmi Mohd Isa, Hongyan Wu, Ramayah Thurasamy, Xi Fang, Yedan Fan & Danping Liu - 2022 - Frontiers in Psychology 13.
    PurposeDrawing upon the stimulus-organism-response model, this paper aims to investigate the effects of stores’ environmental components on Chinese consumers’ emotions and intentions to purchase luxury brands.Design/Methodology/ApproachData were collected from Chinese consumers who have purchased luxury brands from retail stores. Partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis were employed for data analysis.FindingsThe results of PLS-SEM indicated that three dimensions of the store environment directly and significantly influenced Chinese consumers’ emotions. However, fsQCA revealed greater heterogeneity among (...)
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  15.  8
    How Determinants of Employee Innovation Behavior Matter During the COVID-19 Pandemic: Investigating Cross-Regional Role via Multi-Group Partial Least Squares Structural Equation Modeling Analysis.Caixia Cao, Michael Yao-Ping Peng & Yan Xu - 2022 - Frontiers in Psychology 13.
    The COVID-19 pandemic cropping up at the end of 2019 started to pose a threat to millions of people’s health and life after a few weeks. Nevertheless, the COVID-19 pandemic gave rise to social and economic problems that have changed the progress steps of individuals and the whole nation. In this study, the work conditions for employees from Taiwan, Malaysia, and the Chinese mainland are explored and compared, and the relationship between support mechanisms and innovation behaviors is evaluated with a (...)
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  16.  32
    metaSEM: an R package for meta-analysis using structural equation modeling.Mike W.-L. Cheung - 2014 - Frontiers in Psychology 5.
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  17.  89
    Parental Burnout Assessment (PBA) in Different Hispanic Countries: An Exploratory Structural Equation Modeling Approach.Denisse Manrique-Millones, Georgy M. Vasin, Sergio Dominguez-Lara, Rosa Millones-Rivalles, Ricardo T. Ricci, Milagros Abregu Rey, María Josefina Escobar, Daniela Oyarce, Pablo Pérez-Díaz, María Pía Santelices, Claudia Pineda-Marín, Javier Tapia, Mariana Artavia, Maday Valdés Pacheco, María Isabel Miranda, Raquel Sánchez Rodríguez, Clara Isabel Morgades-Bamba, Ainize Peña-Sarrionandia, Fernando Salinas-Quiroz, Paola Silva Cabrera, Moïra Mikolajczak & Isabelle Roskam - 2022 - Frontiers in Psychology 13.
    Parental burnout is a unique and context-specific syndrome resulting from a chronic imbalance of risks over resources in the parenting domain. The current research aims to evaluate the psychometric properties of the Spanish version of the Parental Burnout Assessment across Spanish-speaking countries with two consecutive studies. In Study 1, we analyzed the data through a bifactor model within an Exploratory Structural Equation Modeling on the pooled sample of participants obtaining good fit indices. We then attained measurement invariance (...)
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  18.  14
    Online Tourism Information and Tourist Behavior: A Structural Equation Modeling Analysis Based on a Self-Administered Survey.Salman Majeed, Zhimin Zhou, Changbao Lu & Haywantee Ramkissoon - 2020 - Frontiers in Psychology 11.
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  19.  3
    Social Emotional Learning Competencies in Belize Children: Psychometric Validation Through Exploratory Structural Equation Modeling.Krystal M. Hinerman, Darrell M. Hull, Emma I. Näslund-Hadley & Mehri Mirzaei Rafe - 2022 - Frontiers in Psychology 12.
    In the nation of Belize, and in particular the south side of Belize City, the main metropolitan area of the nation, significant economic disparities have led to child and adolescent exposure to high rates of violent crime, gang activity, unsafe neighborhoods, sexual, and physical violence. Problems associated with poor Social-Emotional Character Development are especially prevalent among boys. Consequently, valid culture-relevant measures are required that identify problematic behavior for policy-based intervention and evaluation of educational programs designed to ameliorate this problem. The (...)
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  20.  10
    Critical success factors for adopting green supply chain management and clean innovation technology in the small and medium-sized enterprises: A structural equation modeling approach.Shoaib Maqsood, Yan Zhou, Xintong Lin, Shuai Huang, Ihsan Jamil & Khurram Shahzad - 2022 - Frontiers in Psychology 13.
    Organizational sustainability in the form of environmental management and sustainable production is becoming more important for small and medium-sized enterprises throughout the world. This research evaluates the factors affecting the understanding of the CEO's and managers' intention to adopt practices of green supply chain management and clean innovation technology in the manufacturing SMEs of Pakistan. This empirical research identifies key determinants influencing the adoption of GSCM practices. Using structural equation modeling, we selected a sample size of 350 (...)
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  21.  9
    The Effect of Green Intellectual Capital on Green Performance in the Spanish Wine Industry: A Structural Equation Modeling Approach.Bartolomé Marco-Lajara, Patrocinio Zaragoza-Sáez, Javier Martínez-Falcó & Lorena Ruiz-Fernández - 2022 - Complexity 2022:1-17.
    Global environmental problems, such as global warming, pollution, or deforestation, are critical issues that require a rapid and common response. In this context, companies play a decisive role in achieving environmental objectives through the ecological knowledge they can store and manage. In this context, the present research focuses its interest on analyzing how the set of green intangibles possessed by organizations, i.e., Green Intellectual Capital, affects their Green Performance. Specifically, the study shows how GP is influenced by GIC through the (...)
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  22.  4
    Investigating the Effect of the State, Stability, and Change in Deep Approaches to Learning From Kindergarten to Third Grade: A Multilevel Structural Equation Modeling Indicator-Specific Growth Model Approach.Chung Chin Wu - 2022 - Frontiers in Psychology 13.
    Adopting deep approaches to learning can have a profound impact on learning outcomes. The extent of change in the learning approach could be attributed to the effect of contextual factors. After a substantive review, it was found that research interested in investigating the longitudinal effect of deep approaches to learning on learning outcomes were rarely directly concerned with the longitudinal state and trend of the approach itself. Moreover, the limitations of past analytical methods, has not been appropriately acknowledged. This study (...)
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  23.  82
    Modeling the Significance of Motivation on Job Satisfaction and Performance Among the Academicians: The Use of Hybrid Structural Equation Modeling-Artificial Neural Network Analysis.Suguna Sinniah, Abdullah Al Mamun, Mohd Fairuz Md Salleh, Zafir Khan Mohamed Makhbul & Naeem Hayat - 2022 - Frontiers in Psychology 13.
    The competition in higher education has increased, while lecturers are involved in multiple assignments that include teaching, research and publication, consultancy, and community services. The demanding nature of academia leads to excessive work load and stress among academicians in higher education. Notably, offering the right motivational mix could lead to job satisfaction and performance. The current study aims to demonstrate the effects of extrinsic and intrinsic motivational factors influencing job satisfaction and job performance among academicians working in Malaysian private higher (...)
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  24.  9
    Validation of the Student Athletes’ Motivation Toward Sports and Academics Questionnaire (SAMSAQ) for Korean College Student-Athletes: An Application of Exploratory Structural Equation Modeling.Youngjik Lee, Jason Immekus, Dayoun Lim, Mary Hums, Chris Greenwell, Adam Cocco & Minuk Kang - 2022 - Frontiers in Psychology 13.
    The purpose of this study was to validate the Korean version of the Student-Athletes’ Motivation toward Sports and Academics Questionnaire using exploratory structural equation modeling. A total of 412 South Korean collegiate student-athletes competing in 27 types of sports from 13 different public and private universities across South Korea were analyzed for this study. ESEM statistical approach was employed to examine the psychometric properties of SAMSAQ-KR. To assess content validity, the SAMSAQ-KR was inspected by a panel of (...)
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  25.  7
    What are the key drivers to promote entrepreneurial intention of vocational college students? An empirical study based on structural equation modeling.Xinchen Niu, Zhining Niu, Mengmeng Wang & Xueshi Wu - 2022 - Frontiers in Psychology 13.
    In order to alleviate the increasing employment pressure of vocational college students, the current study is an attempt to explore the factors of entrepreneurial intention affecting vocational college students. The study investigates whether entrepreneurial self-efficacy and attitude mediate this relationship between creativity and entrepreneurial intentions using the theory of planned behavior. In particular, this research also examines whether risk propensity moderates the relationship. An empirical survey is conducted and a total of 500 valid questionnaires are collected through online platforms. The (...)
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  26. An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale.István Tóth-Király, Beáta Bõthe, Adrien Rigó & Gábor Orosz - 2017 - Frontiers in Psychology 8.
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  27.  8
    Fusion Validity: Theory-Based Scale Assessment via Causal Structural Equation Modeling.Leslie A. Hayduk, Carole A. Estabrooks & Matthias Hoben - 2019 - Frontiers in Psychology 10:442079.
    Fusion validity assessments employ structural equation models to investigate whether an existing scale functions in accordance with theory. Fusion validity parallels criterion validity by depending on correlations with non-scale variables but differs from criterion validity because it requires at least one theorized effect of the scale, and because both the scale and scaled-items are included in the model. Fusion validity, like construct validity, will be most informative if the scale is embedded in as full a substantive context as (...)
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  28.  47
    Intellectual Capital Management Enablers: A Structural Equation Modeling Analysis.Robert G. Isaac, Irene M. Herremans & Theresa J. Kline - 2010 - Journal of Business Ethics 93 (3):373-391.
    Appropriate enablers are essential for management of intellectual capital. Through the use of structural equation modeling, we investigate whether organic renewal environments, interactive behaviors, and trust are conducive to intellectual capital management processes, as they each depend upon the establishment of a climate emphasizing mutual respect. Owing to a lack of clarity in the literature, we tested the ordering of the variables and found statistical significance for two ordering alternatives. However, the sequence presented in this article provides (...)
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  29.  8
    Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling.Joanne McVeigh, Malcolm MacLachlan, Frédérique Vallières, Philip Hyland, Rudiger Stilz, Henriette Cox & Alistair Fraser - 2019 - Frontiers in Psychology 10.
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  30.  14
    The Effects of Contextual Factors, Self-Efficacy and Motivation on Learners’ Adaptability to Blended Learning in College English: A Structural Equation Modeling Approach.Shuhan Yang & Ruihui Pu - 2022 - Frontiers in Psychology 13.
    ObjectiveFew research efforts have substantially introduced relevant studies on Chinese students’ adaptability in relation to the ineffectiveness of blended learning mode in College English. This study is guided by social cognitive theory, and related literature has been reviewed concerning adaptability. In this study, we aim to examine the involved relationships among contextual factors, self-efficacy, motivation, and adaptability to blended learning mode among non-English majored Chinese learners in the College English course.MethodsThe quantitative research method was employed in this study, and 595 (...)
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  31.  25
    Evaluation of model fit in nonlinear multilevel structural equation modeling.Karin Schermelleh-Engel, Martin Kerwer & Andreas G. Klein - 2014 - Frontiers in Psychology 5.
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  32.  13
    Psychometric Evaluation of the Overexcitability Questionnaire-Two Applying Bayesian Structural Equation Modeling and Multiple-Group BSEM-Based Alignment with Approximate Measurement Invariance.Niki De Bondt & Peter Van Petegem - 2015 - Frontiers in Psychology 6.
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  33.  22
    Student assessment of teaching as a source of information about aspects of teaching quality in multiple subject domains: an application of multilevel bifactor structural equation modeling.Ronny Scherer & Jan-Eric Gustafsson - 2015 - Frontiers in Psychology 6.
  34.  31
    Cognitive aging on latent constructs for visual processing capacity: a novel structural equation modeling framework with causal assumptions based on a theory of visual attention.Simon Nielsen & L. Inge Wilms - 2014 - Frontiers in Psychology 5.
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  35.  6
    Can hypnotic susceptibility be explained by bifactor models? Structural equation modeling of the Harvard group scale of hypnotic susceptibility – Form A.Anoushiravan Zahedi & Werner Sommer - 2022 - Consciousness and Cognition 99 (C):103289.
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  36.  6
    A Model of Perceived Co-creation Value in Tourism Service Setting: An Application of Structure Equation Modeling.Kefang Tao, Jiangeng Ye, Hanjie Xiao & Poju Chen - 2022 - Frontiers in Psychology 13.
    This study explores how the perceived co-creation values from tourists’ perspectives are applied in the customized tour arrangement service setting. The sequential qualitative and quantitative methods are adopted for this study. The initial qualitative method in terms of the proactive semi-structured interview is conducted to identify and explore the dimension of the PCV construct and to develop its measurement scale. The quantitative method by the structure equation model is employed for the proposed conceptual model fitness assessment and consolidation. Our (...)
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  37.  13
    Investigating the Multidimensionality of the Work-Related Flow Inventory (WOLF): A Bifactor Exploratory Structural Equation Modeling Framework.Honglei Gu, Zhonglin Wen & Xitao Fan - 2020 - Frontiers in Psychology 11.
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  38.  15
    Doctors’ Job Satisfaction and Its Relationships With Doctor-Patient Relationship and Work-Family Conflict in China: A Structural Equation Modeling.Shumin Deng, Ningxi Yang, Shiyue Li, Wei Wang, Hong Yan & Hao Li - 2018 - Inquiry: The Journal of Health Care Organization, Provision, and Financing 55:004695801879083.
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  39.  3
    Evaluating Intervention Programs with a Pretest-Posttest Design: A Structural Equation Modeling Approach.Guido Alessandri, Antonio Zuffianò & Enrico Perinelli - 2017 - Frontiers in Psychology 8.
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  40.  25
    Testing strong factorial invariance using three-level structural equation modeling.Suzanne Jak - 2014 - Frontiers in Psychology 5.
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  41.  12
    Cross-Cultural Applicability of Organizational Stressor Indicator for Sport Performers Questionnaire in Ghana Using Structural Equation Modeling Approach.Medina Srem-Sai, Frank Quansah, James Boadu Frimpong, John Elvis Hagan & Thomas Schack - 2021 - Frontiers in Psychology 12.
    The purpose of this study was to examine the cross-cultural validity of the Organizational Stressor Indicator for Sport Performers scale by investigating its psychometric properties with Ghanaian footballers. The study particularly sought to assess in the Ghanaian context, 1, the convergence validity and reliability of the OSI-SP scale, 2, the discriminant validity of the OSI-SP scale to understand the applicability of its factor structure, and 3, whether the OSI-SP hypothesized model fits the data collected within the study context. The intensity (...)
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  42.  7
    Strategy Use in Second Language Vocabulary Learning and Its Relationships With the Breadth and Depth of Vocabulary Knowledge: A Structural Equation Modeling Study.Na Fan - 2020 - Frontiers in Psychology 11.
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  43.  12
    The Importance of Isomorphism for Conclusions about Homology: A Bayesian Multilevel Structural Equation Modeling Approach with Ordinal Indicators.Nigel Guenole - 2016 - Frontiers in Psychology 7.
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  44.  11
    Evaluating Fit Indices for Multivariate t-Based Structural Equation Modeling with Data Contamination.H. C. Lai Mark & Zhang Jiaqi - 2017 - Frontiers in Psychology 8.
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  45. Exploring Taiwanese high school students' conceptions of and approaches to learning science through a structural equation modeling analysis.Min‐Hsien Lee, Robert E. Johanson & Chin‐Chung Tsai - 2008 - Science Education 92 (2):191-220.
  46.  16
    Computing Multivariate Effect Sizes and Their Sampling Covariance Matrices With Structural Equation Modeling: Theory, Examples, and Computer Simulations.Mike W.-L. Cheung - 2018 - Frontiers in Psychology 9.
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  47.  5
    Understanding learners’ metacognitive experiences in learning to write in English as a foreign language: A structural equation modeling approach.Qiyu Sun & Lawrence Jun Zhang - 2022 - Frontiers in Psychology 13.
    Many researchers have acknowledged the role of metacognition in facilitating learning to write in English as a foreign language. Although research on metacognition has explored learners’ metacognitive knowledge and metacognitive strategies in the field of EFL writing, little is known about the nature of learners’ metacognitive experiences in EFL writing. To fill such an important gap, this study was designed to assess EFL learners’ metacognitive experiences before, during, and after writing. Data were collected from a total of 760 undergraduates through (...)
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  48.  13
    Assessing Construct Validity in Math Achievement: An Application of Multilevel Structural Equation Modeling.Georgios D. Sideridis, Ioannis Tsaousis & Abdullah Al-Sadaawi - 2018 - Frontiers in Psychology 9.
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  49.  14
    How to Improve the Well-Being of Youths: An Exploratory Study of the Relationships Among Coping Style, Emotion Regulation, and Subjective Well-Being Using the Random Forest Classification and Structural Equation Modeling.Xiaowei Jiang, Lili Ji, Yanan Chen, Chenghao Zhou, Chunlei Ge & Xiaolin Zhang - 2021 - Frontiers in Psychology 12.
    The relationship between coping styles and subjective well-being has recently received considerable empirical and theoretical attention in the scientific literature. However, the mechanisms underlying this relationship have primarily remained unclear. The present research aimed to determine whether emotion regulation mediated the relationship between coping styles and subjective well-being. Our hypothesis is based on the integration of theoretical models among 1,247 Chinese college students. The SWB questionnaire, Ways of Coping Questionnaire, and Emotion Regulation Questionnaire were used to correlate SWB, emotion regulation (...)
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  50.  12
    Modeling Floor Effects in Standardized Vocabulary Test Scores in a Sample of Low SES Hispanic Preschool Children under the Multilevel Structural Equation Modeling Framework.Leina Zhu & Jorge Gonzalez - 2017 - Frontiers in Psychology 8.
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