Essentials of structural equation modeling

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dc.authorid21375en_US
dc.contributor.authorCivelek, Mustafa Emre
dc.date.accessioned2018-03-14T15:34:35Z
dc.date.available2018-03-14T15:34:35Z
dc.date.issued2018en_US
dc.departmentFakülteler, İşletme Fakültesi, Turizm ve Otel Yöneticiliği Bölümüen_US
dc.description.abstractStructural Equation Modeling is a statistical method increasingly used in scientific studies in the field of Social Sciences. Nowadays, it is a preferred analysis method especially in doctoral dissertations and academic researches. However, since most of the universitiesdo not include this method in the curriculum of undergraduate and graduate courses, students and scholars try to solve the problems they encounter by using various books and internet resources. The aim of this book is to guide the researcher who wants to use this method in a way that is free from math expressions and to teach the steps of a research using structured equality modeling practically. For the students who write thesis and the scholars who prepare academic articles, this book aims to systematically analyze the methodology of the scientific studies which is conducted by using structural equation modeling method in social sciences. This book is prepared in a simple language as possible so as to convey basic information. This book consists of two parts. In the first part, basic concepts of structural equation modeling are given. In the second part, examples of applications are given.en_US
dc.description.tableofcontentsCONTENT-- PREFACE .. 1-- CONTENT 2-- 1. INTRODUCTION . 4-- I. CHAPTER 6-- CONCEPTS AND METHODOLOGY 6-- 2. BASIC CONCEPTS OF STRUCTURAL EQUATION-- MODELING 6-- 2.1. Definitions and Features 6-- 2.2. Latent and Observed Variables .. 10-- 2.3. Endogeneous and Exogeneous Variables .. 13-- 2.4. Parameters . 16-- 2.5. Fit Indices .. 17-- 2.6. Assumptions of Structural Equation Modeling .. 22-- 2.7. Types of Structural Equation Models 26-- 2.7.1. Path Analysis Models .. 26-- 2.7.2. Confirmatory Factor Analysis Models 27-- 2.7.3. Structural Regression Models 28-- 2.7.4. Latent Change Models 28-- 3. VALIDITY AND RELIABILITY ANALYSIS .. 31-- 3.1. Determination of Convergent Validity . 32-- 3.2. Determination of Discriminant Validity .. 41-- 3.3. Determination of Reliability . 42-- 4. STRUCTURAL REGRESSION MODEL . 44-- 5. PATH ANALYSIS 48-- 6. MODEL MODIFICATION 50-- 7. MEDIATOR VARIABLE ANALYSIS METHODOLOGY .. 52-- II. CHAPTER .. 61-- APPLICATIONS .. 61-- 8. USE OF AMOS Program 61-- 9. SAMPLE OF MEDIATOR VARIABLE ANALYSIS .. 73-- 9.1. Title of the Research .. 73-- 9.2. Purpose 74-- 9.3. Conceptual Model and Scales .. 74-- 9.4. Determination of Validity and Reliability 75-- 9.5. Analysis Results . 77-- 9.6. Conclusion 79-- 10. MULTITRAIT-MULTIMETHOD MODEL 80-- 11. METHODS TO BE APPLIED IN CASE OF DATA-- INADEQUACY 100-- 11.1. Bootstrap Method . 100-- 11.2. Partial Least Square Structural Equation Modeling ( PLSSEM)-- .. 102-- Bibliography .. 111en_US
dc.identifier.doi10.13014/K2SJ1HR5en_US
dc.identifier.isbn9781609621292
dc.identifier.issn1877-0428
dc.identifier.urihttps://digitalcommons.unl.edu/zeabook/64
dc.identifier.urihttps://hdl.handle.net/11467/1792
dc.identifier.urihttps://doi.org/10.13014/K2SJ1HR5
dc.language.isoenen_US
dc.publisherZea E-Booksen_US
dc.relation.publicationcategoryKitap - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEssentials of structural equation modelingen_US
dc.typeBooken_US

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