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Data Analysis Using SPSS
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Data Analysis Using SPSS

  • Lokesh Jasrai - Associate Professor (Marketing), Mittal School of Business, Lovely Professional University, Phagwara, Punjab

December 2020 | SAGE Publications Pvt. Ltd

A concise introduction to data analysis for beginners and intermediate students using IBM – Statistical Package for Social Sciences (SPSS)

The present book elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It enhances self-learning and develops thorough understanding of the concepts through step-by-step processes for quick comprehension, and screen images, dialog boxes and exhibits for better interaction with the software.

Spanning across 17 chapters, 
Data Analysis Using SPSS begins from the stages of data entry and goes on till editing and data visualization. It takes the readers through descriptive statistics, frequency, univariate, bivariate and regression analysis, cross-tabulation, linear models, and non-parametric test procedures. This textbook will act as a helpful companion to students of management, humanities and social sciences, agriculture and life sciences, as well as young research scholars.

 
Key Features:

• Main and sub-dialog boxes of SPSS containing commands of specific test techniques incorporated in the text for effective interaction with the software

• Exercises and practice questions to enhance analytical understanding

• Addition chapters on Means Analysis, One-way ANOVA, and Probability and Sampling Distribution provided as web supplement for advance reading


 
Preface
 
Acknowledgements
 
Part I: Basics of SPSS Windows
 
Orientation to SPSS Windows
 
Creating and Editing Data
 
PART II: Data Visualization and Descriptive Statistics
 
Displaying Data with Charts and Graphs
 
Frequency Analysis and Descriptive Statistics
 
Exploratory Data Analysis
 
PART III: Cross-Tabulation
 
Data Analysis with Cross-Tabulation
 
PART IV: Univariate Statistical Inferences
 
Independent Sample t-Test
 
Paired Sample t-test
 
One-Sample t-test
 
PART V: Experimental Designs: Analysis of Variance
 
One-Way Analysis of Variance (ANOVA)
 
Two-Way ANOVA Factorial Design
 
PART VI: Relationship Measurement and Predictive Analysis
 
Measures of Association
 
Simple Linear Regression Analysis
 
Multiple Linear Regression Analysis
 
Binary Logistics Regression
 
PART VII: Non-Parametric Tests
 
Non-Parametric Tests
 
PART VIII: Reliability and Probability Distribution
 
Reliability Analysis
 
Means Analysis
 
One-Way ANOVA Repeated Measures
 
Probability and Sampling Distribution
 
Appendix
 
Index

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ISBN: 9789353883287
$40.00