You 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.
"Sinopsis" puede pertenecer a otra edición de este libro.
You 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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Condición: Very Good. Boateng, Richard Ilustrador. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00109960363
Cantidad disponible: 1 disponibles
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Paperback. Condición: Very Good. Boateng, Richard Ilustrador. Nº de ref. del artículo: CIN1730806708VG
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Boateng, Richard Ilustrador. Print on Demand. Nº de ref. del artículo: I-9781730806704
Cantidad disponible: Más de 20 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. Boateng, Richard Ilustrador. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Nº de ref. del artículo: C9781730806704
Cantidad disponible: Más de 20 disponibles