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About this product
Product Identifiers
PublisherIndependently Published
ISBN-101730806708
ISBN-139781730806704
eBay Product ID (ePID)8038675557
Product Key Features
Number of Pages216 Pages
LanguageEnglish
Publication NameStructural Equation Modelling Made Easy for Business and Social Science Research Using SPSS and Amos
SubjectResearch
Publication Year2018
TypeNot Available
Subject AreaReference
AuthorSheena Boateng
FormatTrade Paperback
Dimensions
Item Height0.5 in
Item Weight15.4 Oz
Item Length10 in
Item Width8 in
Additional Product Features
IllustratedYes
Intended AudienceTrade
SynopsisYou are welcome to Structural Equation Modelling (SEM) Made Easy for Business and Social Science Research Using SPSS and Amos. This book seeks to provide a simple practical guide to conducting quantitative data analysis. First, it presents an overview of quantitative research, by explaining different types of variables and the formulation and testing of hypotheses. Second, it presents the rubrics for designing quantitative questionnaires, explains sampling and illustrates how to determine sample size. Third, the book also explains descriptive statistics and how to conduct and present descriptive statistics in a research write-up. Fourth, it provides a step by step process to carry out exploratory factor analysis and procedures for interpreting related outputs from the statistical software package, SPSS. Fifth, it teaches how to establish reliability and validity in quantitative research. Finally, the book explains the basics of Structural Equation Modelling (SEM) and demonstrates the two-step approach to SEM analysis, the foundational concepts of measurement models, structural models, Confirmatory Factor Analysis (CFA) and Path Analysis (PA). It also teaches how to run SEM analysis using Amos, and how to interpret the resulting output. This book is essential for anyone involved in business and social science research. Its purpose is not to create a 'one best format', but to offer a practical guide in analyzing quantitative data and presenting such analysis in research papers, long essays, theses and dissertations.