Practical Guide Of The Integrated Structural Equation Modeling Sem With Lisrel And Amos For Marketing Social Sciences Thesis
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Practical Guide of the Integrated Structural Equation Modeling (SEM) with LISREL and AMOS for Marketing & Social Sciences Thesis
Author: Mochammad Riyadh Rizky Adam
language: en
Publisher: Deepublish
Release Date: 2018-05-10
Structural equation modeling would be very good for the researchers who face a set of interrelated questions in their study. For example, what factors influence a brand trust? How does that brand trust combine with other factors would affect brand loyalty? If you face this situation in management, you need a multivariate technique to answer that issues. And, you will get the multivariate data as the results
Proceedings of the 1st Brawijaya International Conference on Business and Law (BICoBL 2022)
This is an open access book.The advancement of science is an important basic for the country’s development. It should be supported by the analysis which could provide solutions of various problems and phenomena happened in society. One of the problems amidst the problems around the world is how to resolve the economics and social problem as a result of the COVID-19 Pandemic. The complex problems due to pandemic are not merely believed to be bias if it is solved by a science so that it needs collaboration of other social sciences. Due to these issues of social science, we are conducting the 1st Brawijaya International Conference on Business and Law (BICoBL) 2022 on the 27th of October, 2022 in Bogor. The theme of the conference entitles “Collaboration of Business and Law After Pandemic to Enhance Sustainable Development”. We are looking forward to having you in our conference.
Principles and Practice of Structural Equation Modeling, Fourth Edition
Author: Rex B. Kline
language: en
Publisher: Guilford Publications
Release Date: 2015-11-03
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.