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Artículos de revistas sobre el tema "Structural equation modelling"

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Oertzen, Timo. "Power equivalence in structural equation modelling." British Journal of Mathematical and Statistical Psychology 63, no. 2 (2010): 257–72. http://dx.doi.org/10.1348/000711009x441021.

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12

Zur, RM, S. Aballea, and S. Sherman. "A Validation of Piecewise Structural Equation Modelling (SEM) Compared to Traditional Structural Equation Modelling: A Simulation Study." Value in Health 21 (May 2018): S223—S224. http://dx.doi.org/10.1016/j.jval.2018.04.1512.

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13

Hidayat, Rachmat, and Patricia Wulandari. "Data Analysis Procedures with Structural Equation Modelling (SEM): Narrative Literature Review." Open Access Indonesia Journal of Social Sciences 5, no. 6 (2022): 859–65. http://dx.doi.org/10.37275/oaijss.v5i6.142.

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The relationship between variables in structural equation modeling (SEM) forms a structural model. This structural model can be explained through structural equations, such as in regression analysis. This structural equation describes the prediction of the latent (exogenous) independent variable on the latent (endogenous) dependent variable. Researchers who use analysis with structural equation models need to know whether the model built with empirical data has a unique value or not so that the model can be estimated. If the model does not have a unique value, then the model cannot be identifi
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14

Heimler, Ronald, Stuart Rosenberg, and Elsa‐Sofia Morote. "Predicting career advancement with structural equation modelling." Education + Training 54, no. 2/3 (2012): 85–94. http://dx.doi.org/10.1108/00400911211210215.

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15

Vinodh, S., and Dino Joy. "Structural Equation Modelling of lean manufacturing practices." International Journal of Production Research 50, no. 6 (2012): 1598–607. http://dx.doi.org/10.1080/00207543.2011.560203.

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16

Oke, Ayodeji Emmanuel, and Deji Rufus Ogunsemi. "Structural equation modelling of construction bond administration." Journal of Financial Management of Property and Construction 21, no. 3 (2016): 192–211. http://dx.doi.org/10.1108/jfmpc-02-2016-0008.

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Purpose The purpose of this paper is to examine construction bonds, which is a risk management tool for ensuring that projects are delivered successfully, with emphasis on the influence of stakeholders, project characteristics and bonding decision factors. Design/methodology/approach Using case study of completed public building projects, questionnaires were administered on stakeholders that participated in the projects to solicit information on identified issues. Structural equation modelling (SEM) was used to examine relationship among identified factors, and various model selection and vali
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17

Turner, Lindsay W., Yvette Reisinger, and Stephen F. Witt. "Tourism Demand Analysis Using Structural Equation Modelling." Tourism Economics 4, no. 4 (1998): 301–23. http://dx.doi.org/10.1177/135481669800400401.

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18

Finch, W. Holmes. "Structural equation modelling trees for invariance assessment." International Journal of Quantitative Research in Education 4, no. 1/2 (2017): 72. http://dx.doi.org/10.1504/ijqre.2017.086508.

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19

Holmes Finch, W. "Structural equation modelling trees for invariance assessment." International Journal of Quantitative Research in Education 4, no. 1/2 (2017): 72. http://dx.doi.org/10.1504/ijqre.2017.10007537.

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20

Jin, Shaobo, and Sebastian Ankargren. "Frequentist Model Averaging in Structural Equation Modelling." Psychometrika 84, no. 1 (2018): 84–104. http://dx.doi.org/10.1007/s11336-018-9624-y.

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21

Dr. P. C. Sekar, Dr P. C. Sekar, and S. Dinesh S. Dinesh. "An Application of Structural Equation Modelling for Measuring Brand Attributes of Packed Milk." Indian Journal of Applied Research 3, no. 4 (2011): 251–53. http://dx.doi.org/10.15373/2249555x/apr2013/85.

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22

Santor, Darcy. "Reviews of Using LISREL for structural equation modelling: A researcher’s guide and Principles and practice of structural equation modelling." Canadian Psychology/Psychologie canadienne 40, no. 4 (1999): 381–83. http://dx.doi.org/10.1037/h0092500.

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23

Tétard-Jones, Catherine, Angharad M. R. Gatehouse, Julia Cooper, Carlo Leifert, and Steven Rushton. "Modelling Pathways to Rubisco Degradation: A Structural Equation Network Modelling Approach." PLoS ONE 9, no. 2 (2014): e87597. http://dx.doi.org/10.1371/journal.pone.0087597.

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24

Hidayat, Rachmat, and Patricia Wulandari. "Structural Equation Modelling (SEM) in Research: Narrative Literature Review." Open Access Indonesia Journal of Social Sciences 5, no. 6 (2022): 852–58. http://dx.doi.org/10.37275/oaijss.v5i6.141.

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The structural equation modelling (SEM) method has stronger predicting power than path analysis and multiple regression because SEM is able to analyze at the deepest level the variables or constructs studied. This literature review aimed to describe the use of structural equation modelling in research. In general, SEM can be used to analyze research models that have several independent (exogenous) and dependent (endogenous) variables, as well as moderating or intervening variables. SEM provides several benefits and advantages for researchers, including building research models with many variab
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25

Aigbavboa, Clinton Ohis. "Structural Equation Modelling in Sustainable Human Settlement Research." IABSE Symposium Report 105, no. 6 (2015): 1–9. http://dx.doi.org/10.2749/222137815818359401.

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26

Motawa, Ibrahim, and Michael G. Oladokun. "Structural equation modelling of energy consumption in buildings." International Journal of Energy Sector Management 9, no. 4 (2015): 435–50. http://dx.doi.org/10.1108/ijesm-11-2014-0004.

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27

Austin, James T., and Lee M. Wolfle. "Annotated bibliography of structural equation modelling: Technical work." British Journal of Mathematical and Statistical Psychology 44, no. 1 (1991): 93–152. http://dx.doi.org/10.1111/j.2044-8317.1991.tb00952.x.

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28

Angelini, M. E., G. B. M. Heuvelink, and B. Kempen. "Multivariate mapping of soil with structural equation modelling." European Journal of Soil Science 68, no. 5 (2017): 575–91. http://dx.doi.org/10.1111/ejss.12446.

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29

Mu, Di. "Structural Equation Modelling for Influencing Virtual Community Networks." International Journal of Web Based Communities 16, no. 3 (2020): 1. http://dx.doi.org/10.1504/ijwbc.2020.10029914.

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30

Mu, Di. "Structural equation modelling for influencing virtual community networks." International Journal of Web Based Communities 16, no. 3 (2020): 249. http://dx.doi.org/10.1504/ijwbc.2020.108631.

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31

Hackl, Peter, and Anders H. Westlund. "On structural equation modelling for customer satisfaction measurement." Total Quality Management 11, no. 4-6 (2000): 820–25. http://dx.doi.org/10.1080/09544120050008264.

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32

Martínez‐López, Francisco J., Juan C. Gázquez‐Abad, and Carlos M. P. Sousa. "Structural equation modelling in marketing and business research." European Journal of Marketing 47, no. 1/2 (2013): 115–52. http://dx.doi.org/10.1108/03090561311285484.

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33

Lew, Yoke-Lian, Salihudin Hassim, Ratnasamy Muniandy, and Law Teik Hua. "Structural equation modelling for subcontracting practice: Malaysia chapter." Engineering, Construction and Architectural Management 25, no. 7 (2018): 835–60. http://dx.doi.org/10.1108/ecam-04-2017-0073.

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Purpose Most of the previous studies conducted on the subject of subcontractors often focussed on a single phase of subcontracting practice; either on registration, selection of subcontractors or on monitoring of subcontractors without much integration to other different phases involved. Thus, on the basis of that reason, the purpose of this paper is to link the gap between different phases of subcontracting practice. This study also attempts to explore the relationships between the key criteria used by general contractors in selecting subcontractors before job awarding (CSSC) and the key crit
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34

Debbi, Hichem, Aimad Debbi, and Mustapha Bourahla. "Debugging of probabilistic systems using structural equation modelling." International Journal of Critical Computer-Based Systems 6, no. 4 (2016): 250. http://dx.doi.org/10.1504/ijccbs.2016.081805.

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35

Papadopoulos, Savas. "Inference for structural equation modelling on dependent populations." International Journal of Computational Economics and Econometrics 2, no. 2 (2011): 123. http://dx.doi.org/10.1504/ijcee.2011.043252.

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36

Yuan, Ke-Hai, Wai Chan, and Peter M. Bentler. "Robust transformation with applications to structural equation modelling." British Journal of Mathematical and Statistical Psychology 53, no. 1 (2000): 31–50. http://dx.doi.org/10.1348/000711000159169.

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37

1Shehu, S. U. 2Sulaiman U. 3Abdulazeez A. S. 4Shaib I. O. and 5Ahu A. A. "Step Wise Approach to Structural Equation Modelling (SEM)." KASU JOURNAL OF MATHEMATICAL SCIENCES 2, no. 1 (2023): 74–87. https://doi.org/10.5281/zenodo.10054003.

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38

Y. Mehlsen, Mimi. "INTRODUCTION TO STRUCTURAL EQUATION MODELLING USING SPSS AND AMOS." Psyke & Logos 30, no. 2 (2009): 5. http://dx.doi.org/10.7146/pl.v30i2.8768.

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39

Ramesh, Vani. "Influence of Organizational Citizenship Behaviour on Mauritian Hospitality Industry employee job-satisfaction: Structural Equation Modelling." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 4994–5005. http://dx.doi.org/10.37200/ijpr/v24i4/pr201599.

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40

NALBANTOGLU YILMAZ, Funda, and Hicran CETIN GUNDUZ. "Career Indecision and Career Anxiety in High School Students: An Investigation through Structural Equation Modelling." Eurasian Journal of Educational Research 18, no. 78 (2018): 1–20. http://dx.doi.org/10.14689/ejer.2018.78.2.

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41

TAŞ, İbrahim. "Association between depression, anxiety, stress, social support, resilience and internet addiction: a structural equation modelling." Malaysian Online Journal of Educational Technology 7, no. 3 (2019): 1–10. http://dx.doi.org/10.17220/mojet.2019.03.001.

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42

Hasan, Rashedul, Niaz Mohammad, and Mohammad Faridul Alam. "Tax Compliance in Bangladesh – A Structural Equation Modelling Approach." American Journal of Trade and Policy 4, no. 3 (2017): 87–94. http://dx.doi.org/10.18034/ajtp.v4i3.422.

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Tax compliance behavior has been researched at different times in various parts of the world using various theories. This research has focused on the psychological aspects of tax compliance behavior by applying the theory of planned behavior (TPB) proposed by Ajzen. 300 taxpayers were studied using a questionnaire based on Likert scale, and the results were analyzed using structural equation modelling. Results found from SEM approach indicate that subjective norm has a significant influence on tax compliance behavior while intention mediates it and moderated by religion. Attitude and perceived
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43

Stafford, Mai, Amanda Sacker, Anne Ellaway, Steven Cummins, Dick Wiggins, and Sally Macintyre. "Neighbourhood Effects on Health: A Structural Equation Modelling Approach." Schmollers Jahrbuch 128, no. 1 (2008): 109–20. http://dx.doi.org/10.3790/schm.128.1.109.

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44

Garg, Ramesh Kumar, and Manoj Panwar. "Online learning: a stakeholders analysis using structural equation modelling." International Journal of Technology Enhanced Learning 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijtel.2021.10038440.

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45

Das, Promila. "Dimensions of women empowerment: A structural equation modelling approach." Journal of Statistics and Management Systems 25, no. 5 (2022): 1059–72. http://dx.doi.org/10.1080/09720510.2022.2040858.

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46

Dandagi, Shivaprasad, Umesh Bhushi, Virupaxi Bagodi, and Deepankar Sinha. "Strategic management of technical university: structural equation modelling approach." Journal of Modelling in Management 11, no. 1 (2016): 75–90. http://dx.doi.org/10.1108/jm2-05-2014-0034.

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Purpose – The purpose of this paper is to examine the constructs and establish causal relationship between factors for strategically governing a technical university in Indian context. Further, the paper carries out a systemic study to emphasize on the need for these universities to design strategies that are endurable and sustainable. Design/methodology/approach – A structured questionnaire survey was carried out (207 responses). Factor analysis was carried out to bring out the latent variables representing the attributes, and later, the causality between these variables was established using
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47

Rose, Sarah A., and Barry Markman. "Monte Carlo Simulations For Structural Equation Modelling (Revolution R)." Journal of Modern Applied Statistical Methods 15, no. 2 (2016): 737–42. http://dx.doi.org/10.22237/jmasm/1478004060.

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48

Curtis, A. M., J. E. Cavanaugh, S. M. Levy, J. VanBuren, T. A. Marshall, and J. J. Warren. "Examining caries aetiology in adolescence with structural equation modelling." Community Dentistry and Oral Epidemiology 46, no. 3 (2017): 258–64. http://dx.doi.org/10.1111/cdoe.12359.

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49

Yuan, Ke-Hai, and Peter M. Bentler. "Normal theory based test statistics in structural equation modelling." British Journal of Mathematical and Statistical Psychology 51, no. 2 (1998): 289–309. http://dx.doi.org/10.1111/j.2044-8317.1998.tb00682.x.

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50

Nunkoo, Robin, and Haywantee Ramkissoon. "Structural equation modelling and regression analysis in tourism research." Current Issues in Tourism 15, no. 8 (2012): 777–802. http://dx.doi.org/10.1080/13683500.2011.641947.

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