Bibliografías temáticas / Structural equation modelling

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Literatura académica sobre el tema "Structural equation modelling"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Structural equation modelling"

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Tenenhaus, Michel. "Component-based Structural Equation Modelling." Total Quality Management & Business Excellence 19, no. 7-8 (2008): 871–86. http://dx.doi.org/10.1080/14783360802159543.

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Kelloway, E. Kevin. "Structural equation modelling in perspective." Journal of Organizational Behavior 16, no. 3 (1995): 215–24. http://dx.doi.org/10.1002/job.4030160304.

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Chandrasekhar, S., and Chabi Sinha. "Modelling the Brand Equity Using Structural Equation Modelling." Management Dynamics 8, no. 2 (2022): 59–70. http://dx.doi.org/10.57198/2583-4932.1179.

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Dangi, H. K., Ashmeet Kaur, and Juhi Jham. "Structural Equation Modelling: A Powerful Antibiotic." Journal of Business Thought 10 (March 4, 2019): 19–23. http://dx.doi.org/10.18311/jbt/2019/23452.

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Mitra, Pradip Kumar. "Structural Equation Modelling: A small review." Journal of Development Research 9, no. 3 (2016): 34. http://dx.doi.org/10.54366/jdr.9.3.2016.34-38.

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Ziegel, Eric R., and R. Mueller. "Basic Principles of Structural Equation Modelling." Technometrics 39, no. 3 (1997): 343. http://dx.doi.org/10.2307/1271158.

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MacFarlane, Don. "Structural equation modelling in developmental psychiatry." British Journal of Psychiatry 193, no. 6 (2008): 509. http://dx.doi.org/10.1192/bjp.193.6.509.

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Smith, Philip T., Frank McKenna, Claire Pattison, and Andrea Waylen. "Structural equation modelling of human judgement." Thinking & Reasoning 7, no. 1 (2001): 51–68. http://dx.doi.org/10.1080/13546780042000037.

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Barrett, Paul. "Structural equation modelling: Adjudging model fit." Personality and Individual Differences 42, no. 5 (2007): 815–24. http://dx.doi.org/10.1016/j.paid.2006.09.018.

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Testa, Mark R. "Structural Equation Modelling in Hospitality Research." Tourism and Hospitality Research 2, no. 1 (2000): 67–74. http://dx.doi.org/10.1177/146735840000200110.

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Structural equation modelling (SEM) is a statistical procedure gaining increased attention in psychology, marketing and business research. As few studies in hospitality research utilise this cutting-edge method of modelling and testing linear relationships, this paper seeks to rationalise the implementation of its use. A conceptual and non-technical overview of the process is discussed, identifying the positive and negative aspects of the procedure. In addition, examples of SEM in practice in hospitality research are examined.
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Tesis sobre el tema "Structural equation modelling"

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Yoo, Keunyoung. "Probabilistic SEM : an augmentation to classical Structural equation modelling." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/66521.

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Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past few decades, there are still numerous advances which can make SEM an even more powerful technique. We propose representing the nal theoretical SEM by a Bayesian Network (BN), which we would like to call a Probabilistic Structural Equation Model (PSEM). With the PSEM, we can take things a step further and conduct inference by explicitly entering evidence into the network
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McKenzie, Kirsten. "Exploring first year academic success through structural equation modelling." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36788/2/36788_Digitised%20Thesis.pdf.

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Vargas, Sepúlveda Mauricio. "Structural equation modelling application : profiling and analyzing students' university scores." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/135274.

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Seminario para optar al grado de Ingeniero Comercial, Mención Administración<br>This work analyses chilean university students performance in different courses. These students belong to different major programs imparted at Universidad de Chile: Accounting, Business Administration, Economics and Information Systems. The analyzed courses are those they share under the same course syllabus and examination and also they are mixed together without distinction of their respective programs in those courses. The provided dataset for this work considers the period 2002-2013. The cornerstone of thi
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Hassan, Louise May. "Hierarchical stepwise structural equation modelling : a methodological contribution for combining theories." Thesis, Glasgow Caledonian University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404635.

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Tseng, Wen-Ta. "Motivation, self-regulation and vocabulary acquisition : a structural equation modelling analysis." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430477.

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Caldarola, Bernardo. "Poverty traps in Southern rural Mozambique : a structural equation modelling approach." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/12861.

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Mestrado em Desenvolvimento e Cooperação Internacional<br>Este trabalho visa analisar o contexto de economia rural em três distritos da região Sul de Mozambique, para demonstrar a existência de mecanismos "aprisionadores" que detêm as famílias camponesas numa condição de pobreza. Todas as variáveis tomadas em conta para o estudo resultam de uma base de dados autoproduzida que inclui informação sobre a subsistência no contexto rural e o sector agrícola. Este trabalho utiliza a abordagem dos modelos de equações estruturais (SEM) para detectar as possíveis não-linearidades no processo de criação
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Cunliffe, Jack. "Offending risk factors and area : an investigation using structural equation modelling." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3257/.

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This thesis has two main aims. The first is substantive: to investigate whether and how an individual’s perceptions of their area act as risk factors for offending. The second is methodological: to demonstrate that theoretically-informed structural equation modelling can make best use of existing and often under-utilised datasets, particularly cross-national studies such as those typically conducted by large-scale organisations or governments. Using the United Kingdom Offending, Crime and Justice Survey (OCJS) conducted between 2003 and 2006, and taking a range of questions on individual perce
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Neoh, Jun. "Application of meta-analysis, multidimensional scaling, structural equation modelling, and multilevel modelling in analysing carpooling behaviour." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/395306/.

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Alzahrani, Ahmed Ibrahim. "Web-based e-government services acceptance for G2C : a structural equation modelling approach." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/5181.

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E-Government is the use of information technology particularly web applications to deliver convenient services for citizens, business and government. Governments worldwide spend billions of their budgets in order to deliver convenient electronic services to their citizens. There are two important points; government offers online services, and citizens consume these services. In order to maximize the benefits of these projects and to avoid possible failures, the gap between these points should be addressed. Yet there are few empirical studies that have covered the relevant issues of adoption fr
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Nuthethi, Rishita Optometry &amp Vision Science Faculty of Science UNSW. "Structural equation modelling and its application to quality of life of visually impaired people." Awarded by:University of New South Wales. Optometry & Vision Science, 2008. http://handle.unsw.edu.au/1959.4/44537.

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The main objective of the thesis was to construct a model of r:lationships among perceived visual ability (VF), quality of life (QOL) and visual acuity (VA) using the structural equation modeling (SEM) technique in an older, visually impaired population of India. The World Health Organization QOL questionnaire, adopted as a QOL questionnaire, and a 16-item visual function questionnaire (VFQ) were administered to adults in the population-based Andhra Pradesh Eye Disease Study prior to their detailed eye examination. Participants aged 40 years and older (n=3,702), who underwent an interview by
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Libros sobre el tema "Structural equation modelling"

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Thakkar, Jitesh J. Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6.

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Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27174-3.

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Bynner, John. Modelling childhood antecedents of political cynicism using structural equation modelling. Social Statistics Research Unit, City University, 1996.

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P, Odekerken M. E., Schmeets J. J. G, and Pol, F. J. R. van de., eds. Developments and applications in structural equation modelli ng: Proceedings of the twelfth meeting of the "Working group structural equation modelling" ("A G Strukturgleichungsmodelle"). Sociometric Research Foundation, 1991.

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Bhattacharya, Joysankar. Women empowerment as multidimensional capability enhancement: An application of structural-equation-modelling. Institute of Development Studies, 2012.

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Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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Hanna, Jim. Assessing consumer preference for local independent retailers: An application of structural equation modelling (SEM). The Author), 2000.

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Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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O'Loughlin, Christina. Evaluation of measurement quality in the assessment of health related issues using structural equation modelling techniques. The Author], 2000.

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Angell, Rob. Learn to Do Structural Equation Modelling (SEM) in SPSS AMOS With Data From the International Sponsorship Study (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469632.

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Capítulos de libros sobre el tema "Structural equation modelling"

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Yang, Yanyun. "Structural equation modelling." In Advanced Research Methods for Applied Psychology. Routledge, 2018. http://dx.doi.org/10.4324/9781315517971-24.

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Yang, Yanyun. "Structural Equation Modelling." In Advanced Research Methods for Applied Psychology, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003362715-22.

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Guo, Michael Xin. "Structural Equation Modelling." In Data Analysis for Business Students. Routledge, 2025. https://doi.org/10.4324/9781003493396-14.

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Thakkar, Jitesh J. "Introduction to Structural Equation Modelling." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_1.

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Thakkar, Jitesh J. "Technical Aspects of SEM." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_2.

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Thakkar, Jitesh J. "Procedural Steps in Structural Equation Modelling." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_3.

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Thakkar, Jitesh J. "Applications of Structural Equation Modelling with AMOS 21, IBM SPSS." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_4.

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Thakkar, Jitesh J. "Applications of Structural Equation Modelling with R." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_5.

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Thakkar, Jitesh J. "Applications of SEM and FAQs." In Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_6.

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Souza, Tancredo. "Structural Equation Modelling (SEM)." In Advanced Statistical Analysis for Soil Scientists. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88161-9_8.

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Actas de conferencias sobre el tema "Structural equation modelling"

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Ahmed, Shakeel, Bahram Bahram, Sameer Razzaq, Dilan Dost, and Mehtab Ali. "Developing a PLS-SEM Model to Identify Risk Management Strategies in Construction Contracts: A Case Study in Public Sector Construction of Pakistan." In 14th International Civil Engineering Conference. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-mcn3wd.

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Political unpredictability, environmental hazards, technological constraints, economic volatility, and regulatory barriers are a few difficulties facing Pakistan's public sector construction industry. These elements, together with inadequate infrastructure, have made it extremely difficult to guarantee the success of projects. The complex nature of hazards in this industry is frequently overlooked by existing models and tactics, despite the crucial role that efficient risk management plays in reducing these difficulties. Traditional methods do not capture The complexity involved well, increasi
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Li, Rita, Li Herru, Beiqi Tang, and Fung Darren. "Building safety index: Structural Equation Modelling approach." In 24th Annual European Real Estate Society Conference. European Real Estate Society, 2017. http://dx.doi.org/10.15396/eres2017_358.

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Tan, Wei Chin Jess, and Hian Chye Koh. "Applying Structural Equation Modelling in Education Research." In 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). IEEE, 2023. http://dx.doi.org/10.1109/tale56641.2023.10398315.

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de Waal, Alta, and Keunyoung Yoo. "Latent Variable Bayesian Networks Constructed Using Structural Equation Modelling." In 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455240.

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"Analysis of South Korean basin hydrologic cycle using structural equation model." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.song333.

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Bulut, Ayse, and Nazime Tuncay. "SOCIAL MEDIA ADDICTION AND SLEEP PROBLEM: A STRUCTURAL EQUATION MODELLING." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-060.

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Sleep disorder is a condition that may be very damaging and may be related to poor mental health and low academic performance. The causes of sleep disorder had been interest of many researches for decades, however not a realistic solution could be found until today. Do new scientific improvements and new software do good to our dentistry students or does it do bad? Should we put a restriction to Social Media usage like WhatsApp group messages and night-time Smartphone use? Does Social Media effect students sleep and their academic performance? To understand this we had to deliver a research st
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Zhao, Yanhua. "Research on Purchase Intentions of Residential Product Based on Structural Equation Model." In 2008 International Workshop on Modelling, Simulation and Optimization. IEEE, 2008. http://dx.doi.org/10.1109/wmso.2008.45.

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Nair, D. J., N. Saxena, and V. V. Dixit. "Evaluating the Perception Index for Cyclists’ Safety Using Structural Equation Modelling." In International Conference on Transportation and Development 2016. American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479926.098.

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Pujianti, F., I. Novianty, and D. Suhartanto. "Predicting Sustainability in The Banking Industry: A Structural Equation Modelling Approach." In International Seminar of Science and Applied Technology (ISSAT 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/aer.k.201221.096.

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Ajayi, Saheed O. "Optimal strategies for construction waste mitigation: A structural equation modelling approach." In TOWARD ADAPTIVE RESEARCH AND TECHNOLOGY DEVELOPMENT FOR FUTURE LIFE. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0114114.

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Informes sobre el tema "Structural equation modelling"

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Dormann, Christian. Introduction to Continuous Time Structural Equation Modeling (CTSEM). Instats Inc., 2023. http://dx.doi.org/10.61700/kwigtxevhohxk469.

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This seminar introduces the use of Continuous Time Structural Equation Modeling (CTSEM) to study phenomena over time in the social and health sciences. Day 1 topics include the required conceptual background, mathematical foundations, as well as examples to illustrate the concepts. On Day 2, the R package [b]ctsem [/b]is introduced, with hands-on coverage of topics including data preparation, model setup, parameter estimation, and interpretation of results. Day 3 topics include random intercept modelling (aka., within-person analysis), moderator analysis, and an outlook to Continuous Time Meta
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Dormann, Christian. Introduction to Continuous Time Structural Equation Modeling (CTSEM) + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/am2g78fjl1gx5469.

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This seminar introduces the use of Continuous Time Structural Equation Modeling (CTSEM) to study phenomena over time in the social and health sciences. Day 1 topics include the required conceptual background, mathematical foundations, as well as examples to illustrate the concepts. On Day 2, the R package [b]ctsem [/b]is introduced, with hands-on coverage of topics including data preparation, model setup, parameter estimation, and interpretation of results. Day 3 topics include random intercept modelling (aka., within-person analysis), moderator analysis, and an outlook to Continuous Time Meta
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Diba, Dil Samina, Ninad Gore, and Srinivas Pulugurtha. Autonomous Shuttle Implementation and Best Practices. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2321.

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When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportati
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Rouhi, A. Final report for symmetric truncations of the shallow water equations and modelling of coherent structures in a boundary layer. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/573288.

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