This textbook book elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension.
Data Analysis Using SPSS,
- Begins from the stages of data entry and goes on till editing and data visualization.
- Takes the readers through descriptive statistics, frequency, univariate, bivariate and regression analysis, cross-tabulation, linear models, and non-parametric test procedures.
- Presents information through dialog boxes and tabular charts, it also incorporates important formulae, calculations, and illustrations of sample data for an in-depth understanding of concepts and results.
- Can be used as a textbook as well as a reference book as it helps to build conceptual understanding, gaining software skills, communicate data and its insights to accomplish research assignments, research/ capstone projects and PhD research work.
With comprehensive coverage, this book would be useful to the students, researchers, and teacher of the various social sciences disciplines like Psychology, Sociology, Education, Social Work, Agriculture Management, and other allied subjects. It would also be an invaluable companion to professionals and data scientist working in the field of analytics.
PART-I BASICS OF SPSS WINDOWS 1. Orientation to SPSS Windows 2. Creating and Editing Data PART-II DATA VISUALIZATION AND DESCRIPTIVE STATISTICS 3. Displaying Data with Charts and Graphs 4. Frequency Analysis and Descriptive Statistics 5. Exploratory Data Analysis PART-III CROSS TABULATION AND MEANS ANALYSIS 6. Data Analysis with Cross Tabulation 7. Means Analysis PART-IV UNIVARIATE STATSITICAL INFERENCES 8. Independent Sample t-Test 9. Paired Sample t-test 10. One-Sample t-test PART-V EXPERIMENTAL DESIGNS: ANALYSIS OF THE VARIANCE 11. One-Way Analysis of Variance (ANOVA) 12. Two-Way ANOVA Factorial Design 13. One-Way ANOVA Repeated Measures PART-VI RELATIONSHIP MEASUREMENT AND PREDICTIVE ANALYSIS 14. Measures of Association 15. Simple Linear Regression Analysis 16. Multiple Linear Regression Analysis 17. Binary Logistics Regression PART-VII NON-PARAMETRIC TESTS 18. Non-Parametric Tests PART-VIII RELIABILITY AND PROBAIBILITY DISTRIBUTION 19. Reliability Analysis 20. Probability and Sampling Distribution
Biography
Lokesh Jasrai is currently working as Associate Professor with Mittal School of Business, Lovely Professional University, Punjab, India. A postgraduate (MBA-Agri-Business) from Institute of Agri-Business Management, Bikaner (Raj.) and PhD in Rural Marketing, Dr Jasrai has been actively involved in imparting quality education in the field of Business Administration. He is having 12 years of full-time teaching and research experience in the field of Management (Marketing). As keen researcher, he has presented several research papers in national & international conferences and published various articles in Refereed and Scopus/ABDC listed Journals. His areas of expertise are data analysis with SPSS, Business Research Methods and Business Analytics with R. He is also having a life membership of Punjab Commerce & Management Association.
