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ANALYZING DATA WITH THE HELP OF SPSS IN SOCIAL SCIENCES RESEARCH
THE AIM OF THIS BOOK IS TO GETTING FAMILIAR WITH THE S.P.S.S. ENVIRONMENT AND ANALYZING THE PRIMARY DATA WITH THE HELP OF APPROPRIATE STATISTICAL TECHNIQUES IN SOCIAL SCIENCES RESEARCH.
Chapter 1 starts with the SPSS basic features, creating and editing a data file in SPSS, identifying duplicate cases, replacing missing values, recode, select cases, sort cases, merge file, transposing the data of Excel in the SPSS format, output viewer and syntax window.
Chapter 2 starts with the preparing the data for analysis in SPSS it includes, coding of questionnaire, data collection, types of variables, levels of measurement and validity and reliability analysis.
Chapter 3 includes the statistics associated with frequency distribution, exploring data with histogram, box plot, pie chart, scatter plot)
Chapter 4 includes the assumptions of applying parametric test and non-parametric test.
Chapter 5 states the parametric tests and non-parametric tests such t test, z test, K-S test, chi square, Runs, Binomial, Mann Whitney, median etc.)
Chapter 6 includes the ANOVA technique and its application.
Chapter 7 includes the Factor analysis and its interpretations.
Chapter 8 includes the correlation & regression analysis.
Chapter 9 includes discriminant analysis.
Chapter 10 includes conjoint analysis.
Chapter 1 starts with the SPSS basic features, creating and editing a data file in SPSS, identifying duplicate cases, replacing missing values, recode, select cases, sort cases, merge file, transposing the data of Excel in the SPSS format, output viewer and syntax window.
Chapter 2 starts with the preparing the data for analysis in SPSS it includes, coding of questionnaire, data collection, types of variables, levels of measurement and validity and reliability analysis.
Chapter 3 includes the statistics associated with frequency distribution, exploring data with histogram, box plot, pie chart, scatter plot)
Chapter 4 includes the assumptions of applying parametric test and non-parametric test.
Chapter 5 states the parametric tests and non-parametric tests such t test, z test, K-S test, chi square, Runs, Binomial, Mann Whitney, median etc.)
Chapter 6 includes the ANOVA technique and its application.
Chapter 7 includes the Factor analysis and its interpretations.
Chapter 8 includes the correlation & regression analysis.
Chapter 9 includes discriminant analysis.
Chapter 10 includes conjoint analysis.
97 pages, Paperback
Published July 25, 2017
About the author
Saurabh Gupta
44 books6 followersSaurabh K. Gupta is a technology leader, published author, and data enthusiast with more than a decade of experience in data architecture, engineering, development, and administration. Working as Data & Analytics Manager at GE, he focusses on data lake analytical programs to build digital solutions for business stakeholders. In the past, he has worked extensively with Oracle database design and development, PaaS and IaaS cloud service models, consolidation, and in-memory technologies. Prior to authoring "Practical Enterprise Data Lake Insights" with Apress in 2018, he worked with Packt publishing for "Advanced Oracle PL/SQL Developer's Guide" in 2016, and "Oracle Advanced PL/SQL Developer Professional Guide" in 2012. He is a frequent speaker a conferences organized by the data and analytics user community and technical institutions. He tweets at @saurabhkg and blogs at sbhoracle.wordpress.com.
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