Relevant bibliographies by topics / Structural equation modeling technique

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Structural equation modeling technique'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Structural equation modeling technique"

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Bolla, Marianna, and Fatma Abdelkhalek. "Kalman's filtering technique in structural equation modeling." Studia Universitatis Babes-Bolyai Matematica 66, no. 1 (March 20, 2021): 179–96. http://dx.doi.org/10.24193/subbmath.2021.1.15.

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"Structural equation modeling finds linear relations between exogenous and endogenous latent and observable random vectors. In this paper, the model equations are considered as a linear dynamical system to which the celebrated R.~E.~K\'alm\'an's filtering technique is applicable. An artificial intelligence is developed, where the partial least squares algorithm of H.~Wold and the block Cholesky decomposition of H.~Kiiveri et al. are combined to estimate the parameter matrices from a training sample. Then the filtering technique introduced is capable to predict the latent variable case values along with the prediction error covariance matrices in the test sample. The recursion goes from case to case along the test sample, without having to re-estimate the parameter matrices. The algorithm is illustrated on real life sociological data."
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Rahmasari, Lisda. "Analisis Pengaruh Orientasi Kewirausahaan, Inovasi, dan Kapabilitas Pemasaran terhadap Keunggulan Bersaing pada UKM Olahan Ikan di Semarang." Jurnal Ilmiah Aset 23, no. 1 (March 31, 2021): 21–30. http://dx.doi.org/10.37470/1.23.1.174.

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This study aimed to find out the influence of entrepreneurial orientation, innovation and marketing capabilities on competitive advantage. The research population comprised Fish Processing Business in Semarang City. The sample was selected by means of the purposive sampling technique. The sample was 100 companies. The data were collected by a questionnaire, interviews, and documentation. This research uses Structural Equation Modeling (SEM) analysis technique using AMOS 24.0 analysis tool. The test results using Structural Equation Modeling (SEM) analysis techniques indicate that the model is in accordance with population data. The results of the study showed that entrepreneurship oriented , innovation and marketing capabilities had a significant positive effect on competitive advantage. Used by analyzer for example validity test, test reliabilitas, and hipotesis test use modelling equation structural (SEM).
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Razak, Nor Iza Anuar, Zamira Hasanah Zamzuri, and Nur Riza Mohd Suradi. "Bootstrapping technique in structural equation modeling: a Monte Carlo study." Journal of Physics: Conference Series 1132 (November 2018): 012072. http://dx.doi.org/10.1088/1742-6596/1132/1/012072.

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Lam, Tzeng Yih, and Douglas A. Maguire. "Structural Equation Modeling: Theory and Applications in Forest Management." International Journal of Forestry Research 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/263953.

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Forest ecosystem dynamics are driven by a complex array of simultaneous cause-and-effect relationships. Understanding this complex web requires specialized analytical techniques such as Structural Equation Modeling (SEM). The SEM framework and implementation steps are outlined in this study, and we then demonstrate the technique by application to overstory-understory relationships in mature Douglas-fir forests in the northwestern USA. A SEM model was formulated with (1) a path model representing the effects of successively higher layers of vegetation on late-seral herbs through processes such as light attenuation and (2) a measurement model accounting for measurement errors. The fitted SEM model suggested a direct negative effect of light attenuation on late-seral herbs cover but a direct positive effect of northern aspect. Moreover, many processes have indirect effects mediated through midstory vegetation. SEM is recommended as a forest management tool for designing silvicultural treatments and systems for attaining complex arrays of management objectives.
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Allison, Paul D. "Missing Data Techniques for Structural Equation Modeling." Journal of Abnormal Psychology 112, no. 4 (2003): 545–57. http://dx.doi.org/10.1037/0021-843x.112.4.545.

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Rigdon, Edward E. "Advanced Structural Equation Modeling: Issues and Techniques." Applied Psychological Measurement 22, no. 1 (March 1998): 85–87. http://dx.doi.org/10.1177/01466216980221008.

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HOSSAIN, Md Shakhawat, Md Golam MOSTAFA, and Md Alamgir HOSSAIN. "MODELING TOURISTS’ SATISFACTION IN THE NATURE-BASED TOURIST DESTINATION USING STRUCTURAL EQUATION MODELING TECHNIQUE." GeoJournal of Tourism and Geosites 37, no. 3 (September 30, 2021): 814–22. http://dx.doi.org/10.30892/gtg.37311-713.

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The goal of this study is to show how satisfied tourists is of supreme significance to the tourism industry, particularly as it affects the future of a nature-based destination and explores the relationship among destination image, service quality, perceived value, tourist satisfaction, word-of-mouth, and revisit intentions of tourists. The 292 survey data was obtained via a structured questionnaire from tourists who visited the Haor region, Bangladesh and structural equation modeling (SEM) is used to test the hypothetical paths. Six hypotheses were accepted, and one is rejected. Tourism stakeholders can find important knowledge and they can satisfy tourists, which is likely by improving destination.
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Singh, Rajwinder, H. S. Sandhu, B. A. Metri, and Rajinder Kaur. "Modeling Supply Chain Performance: A Structural Equation Approach." International Journal of Information Systems and Supply Chain Management 6, no. 4 (October 2013): 18–41. http://dx.doi.org/10.4018/ijisscm.2013100102.

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Supply chain management (SCM) has become an effective tool now a day to survive in this competitive world. Organizations do their best to improve performance by adopting better supply chain (SC) performance indicators. In this paper 19 key performance indicators (KPI) were identified based on strong literature support in consultation of practitioners and consultants in the field of non-livestock retailing (NLR). NLR is the retailing of agriculture and horticulture products. The technique of factor analysis using principal component analysis with Varimax rotation has classified KPI into four factors as; inventory metrics, customer metrics, flexibility metrics and growth and learning metrics. Structural Equation Modelling (SEM) approach was used to develop and validate a model for measuring SC performance of organized NLR industry based on KPI. The data for analysis was collected from top 10 organized NLR players operating in Punjab, Chandigarh, New Delhi and Gurgaon in India. The results were subjected to rigorous statistical tests for reliability and validity. Finally, these classified KPI were presented in the form of a model to measure SC performance of organized NLR industry using SEM.
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Mang’unyi, Eric E. "Exploring private universities service quality in Kenya: A structural equation modeling technique." Journal of Social Sciences (COES&RJ-JSS) 4, no. 1 (January 1, 2015): 578–96. http://dx.doi.org/10.25255/jss.2015.4.1.578.596.

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ZAIM, Selim, Ali TURKYILMAZ, Mehves TARIM, Bilal UCAR, and Oguz AKKAS. "MEASURING CUSTOMER SATISFACTION IN TURK TELEKOM COMPANY USING STRUCTURAL EQUATION MODELING TECHNIQUE." Journal of Global Strategic Management 1, no. 4 (June 15, 2010): 89. http://dx.doi.org/10.20460/jgsm.2010415842.

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Dissertations / Theses on the topic "Structural equation modeling technique"

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Allen, Holly Lee. "Factor Structure of the Jordan Performance Appraisal System: A Multilevel Multigroup Study Using Categorical and Count Data." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8726.

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Development of the Jordan Performance Appraisal System (JPAS) was completed in 1996. This study examined the factor structure of the classroom observation instrument used in the JPAS. Using observed classroom instructional quality ratings of 1220 elementary teachers of Grades 1-6 in the Jordan School District, this study estimated the factor structure of the data and the rater effect on relevant structural parameters. This study also tested for measurement invariance at the within and between levels across teachers of two grade-level groups (a) lower grades: Grades 1-3 and (b) upper grades: Grades 4-6. Factor structure was estimated using complex exploratory factor analysis (EFA) conducted on a subset of the original data. The analysis provided evidence of a three-factor model for the combined groups. The results of multiple confirmatory factor analyses (CFA) conducted using a different subset of the data cross-validated EFA results. Results from multilevel confirmatory factor analysis (MCFA) indicated the three-factor model fit best at both the within and the between levels, and that the intraclass correlation (ICC) was high (.699), indicating significant rater-level variance. Results from a multilevel multigroup confirmatory factor analysis (MLMG-CFA) indicated that the ICC was not significantly different between groups. Results also indicated configural, metric (weak factorial), and scalar (strong factorial) equivalence between groups. This study provided one of the first examples of how to estimate the impact of cluster-level variables such as rater on grouping variables nested at the within level. It provided an example of how to conduct a multilevel multigroup analysis on count data. It also disproved the assumption that counting classroom teaching behaviors was less subjective than using a categorical rating scale. These results will provide substantial information for future developments made to the classroom observation instrument used in the JPAS.
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Li, Jian. "Effects of Full Information Maximum Likelihood, Expectation Maximization, Multiple Imputation, and Similar Response Pattern Imputation on Structural Equation Modeling with Incomplete and Multivariate Nonnormal Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281387395.

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Barboza, Stephanie Ingrid Souza. "Marketing social aplicado à doação de sangue: fatores condicionantes de comportamento." Universidade Federal da Paraí­ba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/3807.

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Made available in DSpace on 2015-04-16T14:48:52Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1899134 bytes, checksum: af6c3f15332bd5027a7f28d2e52bc081 (MD5) Previous issue date: 2012-04-16
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Discussions between the theme of blood donation and social marketing are relevant as they contribute to the planning of public agencies and health institutions, in view of the inefficiency of recruitment and retention of donors processes that portrays the absence of understanding of behavioural aspects that influence individuals to adopt such conduct. Thus, the aim of this dissertation consists to understand the factors that influence the individuals to donate blood. Upon the presentation of the theoretical reference, a structural model was elaborated based on the relations between the models of blood donation, which is based on fifteen main hypotheses. The strategy used in this research was the data collection with the data analysis under a quantitative approach, using the application of structural equation modeling technique. The sample was of 346 people 100 students, 94 people in João Pessoa s city downtown, and 150 people from the internet. In general, two hypotheses were accepted, that deals with the influence of fear and reference group in predisposition of the individuals to donate blood. This suggests the necessity that the actions of social marketing to blood donation have to be focused on understanding the process of interaction between these constructs, turning the advertisement campaigns more elaborated to catch and retain blood donators.
As discussões entre a temática da doação de sangue e o marketing social mostram-se relevantes, à medida que contribuem para a o planejamento das ações de órgãos públicos e instituições de saúde, tendo em vista a ineficiência dos processos de recrutamento e retenção de doadores retratarem a ausência de compreensão dos aspectos comportamentais que influenciam os indivíduos a adotar tal conduta. Desse modo, o objetivo geral deste trabalho consiste em compreender os fatores que influenciam os indivíduos a doarem sangue. Mediante a apresentação do referencial teórico, um modelo estrutural foi elaborado com base nas relações entre os modelos de doação de sangue, o qual se constitui de quinze hipóteses centrais. A estratégia de pesquisa utilizada foi o levantamento, com a análise dos resultados adotando uma abordagem quantitativa, com a aplicação da técnica de modelagem de equações estruturais. A amostra da pesquisa foi de 346 respondentes, sendo 100 estudantes, 94 respondentes das ruas centrais de João Pessoa, e, 150 participantes via internet. De maneira geral, foram aceitas duas hipóteses, que tratam da influência do medo e do grupo de referência na predisposição dos sujeitos em doar sangue. Isto sugere a necessidade de que as ações de marketing social para a doação de sangue devem estar focadas em compreender o processo de interação entre estes construtos, tornando mais efetiva as campanhas elaboradas para captação e retenção dos doadores de sangue.
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Gambi, Lillian do Nascimento. "A relação entre cultura organizacional e o uso de técnicas da qualidade e seu impacto no desempenho operacional." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-16062014-135954/.

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Muitas empresas têm adotado alguma iniciativa de gestão da qualidade para melhoria de seu desempenho. Entretanto, muitas dessas iniciativas nem sempre produzem os resultados pretendidos. Dentro desse contexto, a cultura organizacional tem se destacado como uma variável contextual que poderia explicar o sucesso, ou mesmo o fracasso, das iniciativas de gestão da qualidade. Dessa forma, esse estudo investiga a influência da cultura organizacional no uso das técnicas da qualidade e seu impacto no desempenho. Para isso, duas hipóteses foram consideradas 1) a cultura de uma organização influencia o conjunto de técnicas da qualidade que ela adota e, 2) a combinação entre o conjunto de técnicas da qualidade adotada por uma organização e sua cultura organizacional afeta o desempenho. Enquanto a maioria dos estudos anteriores considera a relação entre cultura, gestão da qualidade e desempenho no nível de práticas da qualidade, esse estudo estende essa discussão para o nível das técnicas. A partir de dados obtidos de 250 empresas no Brasil e Dinamarca, utilizou-se da Modelagem de Equações Estruturais para testar as hipóteses formuladas. Quatro grupos de técnicas da qualidade, quatro perfis de cultura organizacional definidos no Competing Values Framework, e diversos indicadores de desempenho foram considerados nesse estudo. Resultados mostram que certos perfis culturais estão mais relacionados ao uso de determinadas técnicas da qualidade que outras. Por exemplo, empresas com cultura de grupo orientada para colaboração e desenvolvimento de recursos humanos, tendem a usar técnicas de estabelecimento de metas e melhoria contínua, mas não técnicas associadas à medição. Em contrapartida, empresas que possuem características das culturas racional e hierárquica, que são orientadas para o controle e competição, tendem a usar mais as técnicas de medição do que aquelas culturas orientadas para colaboração e inovação. Além disso, os resultados também mostraram que as técnicas da qualidade contribuem para melhoria do desempenho desde que sustentadas por características culturais apropriadas. Esta pesquisa fornece contribuições práticas importantes para os gestores no sentido de que eles precisam estar cientes da necessidade de adotar técnicas da qualidade que sejam adequadas às características culturais de suas organizações para, com isso, obter melhores resultados a partir do uso dessas técnicas.
Most firms have adopted quality management initiatives to improve quality and other indicators of performance. However, quality management initiatives do not always produce the intended results. Organizational culture has been highlighted as one of the contextual variables that may explain the success or, for that matter, failure of quality management initiatives. Accordingly, this study investigates the influence of organizational culture on the use of quality techniques and its impact on performance. Therefore it hypothesizes that 1) a firm\'s culture affects the quality techniques it adopts, and 2) the quality techniques have a direct effect, and culture a direct and an indirect (i.e. through the quality techniques) effect, on firm operational performance. While most previous studies address the relationships between culture, quality management and performance at the level of quality practices, this study extends this discussion to the level of quality techniques to what should be its core, namely the influence of culture on the performance impact of quality techniques. Based on data collected from 250 firms in Brazil and Denmark, Structural Equation Modeling is used to test these hypotheses. Four quality technique groups, four cultural profiles adopted from the Competing Values Framework, and a wide range of performance indicators are used to operationalize the study. Findings show that culture does not appear to be an unequivocal predictor of the adoption of quality techniques. Furthermore, while the developmental and group cultures strengthen the performance effects of all four quality technique groups considered, the hierarchical culture does so for only one of these groups. In a rational culture the performance effects of all four groups are insignificant. As practical implication findings suggest that managers need to be actively aware of the cultural characteristics of their organization before adopting quality techniques, in order to benefit most from the use of these techniques.
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Hwang, Heungsun 1969. "Structural equation modeling by extended redundancy analysis." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36954.

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A new approach to structural equation modeling based on so-called extended redundancy analysis (ERA) is proposed. In ERA, latent variables are obtained as exact linear combinations of observed variables, and model parameters are estimated by consistently minimizing a single criterion. As a result, the method can avoid limitations of covariance structure analysis (e.g., stringent distributional assumptions, improper solutions, and factor score indeterminacy) in addition to those of partial least squares (e.g., the lack of a global optimization procedure). The method is simple yet versatile enough to fit more complex models; e.g., those with higher-order latent variables and direct effects of observed variables. It can also fit a model to more than one sample simultaneously. Other relevant topics are also discussed, including data transformations, missing data, metric matrices, robust estimation, and efficient estimation. Examples are given to illustrate the proposed method.
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Joshi, Hemanta. "Determinants of mathematics achievement using structural equation modeling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23000.pdf.

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Turner, John R. "Knowledge Sharing: Examining Employee Perceptions Using Structural Equation Modeling." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804846/.

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During team decision-making practices information is often shared among team members as part of the decision making process. Knowledge sharing involves one team member sharing information so that other team members can encode the knowledge to make their own mental representation of the new information (Huan & Jiang, 2012). Unfortunately, the literature has shown that new information is not always shared between team members during decision making processes (Stasser & Titus, 1985). When teams make decisions without considering all the information available poor decisions can result. This research study tests a team conceptual model derived by Turner (2013) addressing attitudes toward knowledge sharing. Structural equation modeling was conducted to test a portion of Turner’s (2013) team conceptual model. The tested model included the independent variables of psychological safety, team conflict, team cohesion, and transactive memory systems. The dependent variable for the dissertation was knowledge sharing.
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Lortie, Brendan. "A Structural Equation Modeling Approach to Predicting Applicant Faking." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1573323760174055.

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Codd, Casey L. "Nonlinear Structural Equation Models: Estimation and Applications." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1301409131.

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Geiser, Christian [Verfasser]. "Structural equation modeling of multitrait-multimethod-multioccasion data / Christian Geiser." Berlin : Freie Universität Berlin, 2008. http://d-nb.info/1023232111/34.

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Books on the topic "Structural equation modeling technique"

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Ziebart, David Allen. The information content of annual accounting data: An empirical modeling approach using structural equation techniques. [Urbana]: College of Commerce and Business Administration,University of Illinois at Urbana-Champaign, 1986.

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Bowen, Natasha K. Structural equation modeling. Oxford: Oxford University Press, 2012.

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Wang, Jichuan, and Xiaoqian Wang. Structural Equation Modeling. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118356258.

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Shenyang, Guo, ed. Structural equation modeling. Oxford: Oxford University Press, 2012.

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Handbook of structural equation modeling. New York: Guilford Press, 2012.

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Gana, Kamel, and Guillaume Broc. Structural Equation Modeling with lavaan. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119579038.

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Maruyama, Geoffrey. Basics of structural equation modeling. Thousand Oaks, Calif: Sage Publications, 1997.

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Structural equation modeling: A Bayesian approach. Chichester, England: Wiley, 2007.

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Structural equation modeling: A second course. 2nd ed. Charlotte, NC: Information Age Publishing, Inc., 2013.

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Structural equation modeling: Foundations and extensions. 2nd ed. Thousand Oaks: Sage Publications, 2009.

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Book chapters on the topic "Structural equation modeling technique"

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Grabill, Kristen M. "Structural Equation Modeling." In Encyclopedia of Child Behavior and Development, 1452–54. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2823.

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Stein, Catherine M., Nathan J. Morris, Noémi B. Hall, and Nora L. Nock. "Structural Equation Modeling." In Methods in Molecular Biology, 557–80. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7274-6_28.

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Mueller, Ralph O., and Gregory R. Hancock. "Structural Equation Modeling." In The Reviewer’s Guide to Quantitative Methods in the Social Sciences, 445–56. Second Edition. | New York : Routledge, 2019. | Revised edition of The reviewer’s guide to quantitative methods in the social sciences, 2010.: Routledge, 2018. http://dx.doi.org/10.4324/9781315755649-33.

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Lomax, Richard G. "Structural Equation Modeling." In The Reviewer’s Guide to Quantitative Methods in the Social Sciences, 457–66. Second Edition. | New York : Routledge, 2019. | Revised edition of The reviewer’s guide to quantitative methods in the social sciences, 2010.: Routledge, 2018. http://dx.doi.org/10.4324/9781315755649-34.

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Singh, Chandan Deep, and Jaimal Singh Khamba. "Structural Equation Modeling." In Manufacturing Competency and Strategic Success in the Automobile Industry, 171–88. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429486302-7.

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Biricik Gulseren, Duygu, and E. Kevin Kelloway. "Structural Equation Modeling." In Encyclopedia of Personality and Individual Differences, 5250–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_483.

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Adachi, Kohei. "Structural Equation Modeling." In Matrix-Based Introduction to Multivariate Data Analysis, 161–73. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2341-5_11.

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Nunkoo, Robin. "Structural equation modeling." In Encyclopedia of Tourism, 903–4. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_191.

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Biricik Gulseren, Duygu, and E. Kevin Kelloway. "Structural Equation Modeling." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-28099-8_483-1.

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Page, Matthew J. L. "Structural Equation Modeling." In Encyclopedia of Clinical Neuropsychology, 3331–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1252.

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Conference papers on the topic "Structural equation modeling technique"

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Obpaet, Jutamas, and Naraphorn Paoprasert. "Factors Affecting Engineering Program Performance using Structural Equation Modeling Technique." In 2020 International Symposium on Educational Technology (ISET). IEEE, 2020. http://dx.doi.org/10.1109/iset49818.2020.00051.

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Safapour, Elnaz, Sharareh Kermanshachi, and Shirin Kamalirad. "Development of Effective Communication Network in Construction Projects Using Structural Equation Modeling Technique." In ASCE International Conference on Computing in Civil Engineering 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482438.065.

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Tshuma, Ndumiso, and Peter Nyasulu. "P4.75 Exploring the relationship between social factors and treatment adherence among clinically stable art patients: structural equation modelling technique." In STI and HIV World Congress Abstracts, July 9–12 2017, Rio de Janeiro, Brazil. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/sextrans-2017-053264.570.

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Kim, Yong-Woo, and Myung Jo Jhung. "Mathematical Analysis on Two Modelling Techniques for Dynamic Responses of a Structure Subjected to a Ground Acceleration." In ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25394.

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We considered two kinds of numerical modeling techniques for the dynamic response of a structure subjected to ground acceleration. One of the techniques is based on the equation of motion relative to ground motion, and the other is based on the equation of absolute motion of the structure and the ground. The analytic background of the former is well established while the latter is not yet. The latter is called large mass technique, which allocates an appropriate large mass to the ground so that it can cause the ground to move according to a given acceleration time history. In this paper, employing a single degree-of-freedom spring-mass system, we analyzed the equations of motion of the two techniques and provided some theorems on the large mass technique. Using simple examples, we compared numerical results of two modeling techniques with analytic solutions. We have shown that the theorems give us a clear insight on the large mass technique through numerical tests.
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Yang, Bingen, Hongli Ding, Houfei Fang, and Michael Lou. "Modeling and Vibration Analysis of Deployable Space Boom Structures." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84519.

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Lightweight booms are being developed as a basic building element of deployable space structures for future NASA missions. This paper presents an analytical modeling and solution technique, namely the Distributed Transfer Function Method (DTFM), for synthesis and design of deployable boom structures. A space boom structure in consideration is modeled as a space frame that is enhanced by springs. In the DTFM, the distributed transfer functions describing the bending, torsion, and longitudinal deformations of frame members are first derived. A global dynamic equilibrium equation of the boom structure is assembled from the member transfer functions. Solution of the global equilibrium equation leads to free vibration solution and frequency response of the boom structure. The accuracy and efficiency of DTFM is demonstrated in a numerical example.
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Younis, Mohammad I., and Ali H. Nayfeh. "Modeling Squeeze-Film Damping of Electrostatically Actuated Microplates Undergoing Large Deflections." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84421.

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A model for the dynamics of electrostatically actuated microplates undergoing large deflections under the effect of squeeze-film damping is presented. The model predicts the quality factors of microplates under a wide range of gas pressures and applied electrostatic forces up to the pull-in instability. The model utilizes the nonlinear Euler-Bernoulli beam equation, the von Ka´rma´n plate equations, and the compressible Reynolds equation. The static deflection of the microplate is calculated using the beam model. Analytical expressions are derived for the pressure distribution in terms of the plate mode shapes around the deflected position using perturbation techniques. The static deflection and the analytical expressions are substituted into the plate equations, which are solved using a finite-element method. Several results are presented showing the effect of the pressure and the electrostatic force on the structural mode shapes, the pressure distributions, the natural frequencies, and the quality factors.
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Mpagazehe, Jeremiah N., and C. Fred Higgs. "A Fluid-Structure Interaction Modeling Approach of Lubricated Bearing-Type Sliding Contacts." In ASME/STLE 2012 International Joint Tribology Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ijtc2012-61193.

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In many tribological applications, such as journal bearings and gears, a fluid film is used to accommodate velocity between moving surfaces. To model the behavior of this film and to predict its ability to carry load, the Reynolds equation is predominantly employed. As computational processing power continues to increase, computational fluid dynamics (CFD) is increasingly being employed to predict the fluid behavior in lubrication environments. Using CFD is advantageous in that it can provide a more general approximation to the Navier-Stokes equations than the Reynolds equation. Moreover, using CFD allows for the simulation of multiphase flows as could occur during bearing contamination and bearing exit conditions. Because the bearing surfaces move relative to each other as they obtain equilibrium with the fluid pressure, there is a need to incorporate the moving boundary into the CFD calculation, which is a non-trivial task. In this work, a fluid-structure interaction (FSI) technique is explored as an approach to model the dynamic coupling between the moving bearing surfaces and the lubricant. The benefits of using an FSI approach are discussed and the results of its implementation in a lubricated sliding contact model are presented.
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Zhou, Feng, George W. DeMoulin, David J. Geb, and Ivan Catton. "Modeling of Pin Fin Heat Sinks Based on Volume Averaging Theory." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-03035.

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In this paper, a consistant model is developed to describe transport phenomena in a pin fin heat sink that take into account the scales and other characteristics of the medium morphology. The specific geometry of the heat sink is accounted for in such a way that the details of the original structure are replaced by their averaged counterparts. Equation sets allowing for turbulence and two-temperature or two-concentration diffusion are obtained for non-isotropic porous media with interface exchange. The equations differ from known equations and were developed using a rigorous averaging technique, hierarchical modeling methodology, and fully turbulent models with Reynolds stresses and fluxes in the space of every pore. The transport equations are shown to have additional integral and differential terms. These terms are closed experimentally from available data for pin fin morphology. The resulting equation set is relatively simple and is descretized using the finite difference method. Such computational algorithm is fast running, but still able to present a detailed picture of themperature fields in the airflow as well as in the solid structure of the heat sink. The calculated friction factor and thermal resistance are compared with experimental data to verify the porous model and validate the numerical code. The results calculated by the code agrees with the experimental data quite well, which offers possibility for multiple parameter optimization using Design of Experiment (DOE) to achieve high cooling capabilities.
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Marschner, Uwe, Eric Starke, and Günther Pfeifer. "Efficient Dynamic Modeling and Simulation of Smart Structures With (Equivalent) Circuits." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3260.

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The modeling and simulation of smart structures and systems involves coupled field calculations which cause currently high computational costs. Especially time and frequency analyses of sensor or actuator constructions described by equation systems with 10,000 to several 100,000 degrees of freedom demand efficient design methods. A successful approach to solve this problem is to increase the abstraction in a model hierarchy by switching to macro models. In this paper the merits of multi-physics network models applied as macro models are discussed. The main advantage is the significant reduction of the degree of freedom and the transition from PDEs to ODEs. Steady state problems can be efficiently solved with algebraic equations in the complex domain. Another important aspect appreciated by design engineers is the structural graphical system representation offered by networks. Particularly, feedback mechanisms, e.g. from an acoustic subsystem into the mechanical subsystem, can be overviewed. Moreover, linear time-invariant (LTI) multi-physics networks allow the transformation of network elements from one physical domain into another domain. As a consequence transducers can be eliminated and thus the network be simplified. Besides this, passive LTI systems are reversible. This property is the basis of precise measurement techniques.
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McQueen, Hugh, and Narakorn Srinil. "Modelling Two-Dimensional Ice-Induced Vibrations of Offshore Structures With Geometric Nonlinearities." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41075.

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Oil and gas exploration and production has been expanding in Arctic waters. However, numerical models for predicting the ice-induced vibrations (IIV) of offshore structures are still lacking in literature. This study aims to develop a mathematical reduced-order model for predicting the two-dimensional IIV of offshore structures with geometric coupling and nonlinearities. A cylindrical structure subject to a moving uniform ice sheet is analysed using the well-known Matlock model which, in the present study, is extended and modified to account for a new empirical nonlinear stress-strain rate relationship determining the maximum compressive stress of the ice. The model is further developed through the incorporation of ice temperature, brine content, air volume, grain size, ice thickness and ice wedge angle effects on the ice compressive strength. These allow the effect of multiple ice properties on the ice-structure interaction to be investigated. A further advancement is the inclusion of an equation allowing the length of failed ice at a point of failure to vary with time. A mixture of existing equations and newly proposed empirical relationships are used. Structural geometric nonlinearities are incorporated into the numerical model through the use of Duffing oscillators, a technique previously proposed in vortex-induced vibration studies. A one-degree-of-freedom (DOF) model is successfully validated against experimental results from the literature whilst the extended two-degree-of-freedom model produces new insights. Parametric studies highlight the effect of asymmetric geometric nonlinearities and ice velocity on the structural dynamic response. Results were compared to Palmer et al. (2010) which identified quasi-static, random-like or chaotic and locked-in motions. This numerical model has advanced the original Matlock model, showing a potential to be used in future IIV analysis of arctic cylindrical structures, particularly fixed offshore structures such as lighthouses, gravity bases and wind turbine monopiles.
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Reports on the topic "Structural equation modeling technique"

1

Pearl, Judea. The Causal Foundations of Structural Equation Modeling. Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada557445.

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Chen, Bryant, and Judea Pearl. Graphical Tools for Linear Structural Equation Modeling. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada609131.

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Craiger, J. P., R. J. Weiss, A. Butler, D. Goodman, and Gerry L. Wilcove. Navy Quality of Life Survey: Structural Equation Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada329867.

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Anderson, William, Phillip Boxer, and Lisa Brownsword. An Examination of a Structural Modeling Risk Probe Technique. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada468603.

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Wilcove, Gerry L., Donna G. Wolosin, and Michael J. Schwerin. Development of a New Quality of Life (QOL) Model Using Structural Equation Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada405971.

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