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
A concise introduction to data analysis for beginners and intermediate students using IBM – Statistical Package for Social Sciences (SPSS)
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xix | |
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xxvii | |
| Preface |
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xxxv | |
| Acknowledgements |
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xli | |
| About the Author |
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xliii | |
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PART I Basics of SPSS Windows |
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1 | (48) |
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1 Orientation of SPSS Windows |
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3 | (13) |
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2 Creating and Editing Data |
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16 | (33) |
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PART II Data Visualization and Descriptive Statistics |
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49 | (76) |
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3 Displaying Data with Graphs and Charts |
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51 | (27) |
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4 Frequency Analysis and Descriptive Statistics |
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78 | (24) |
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5 Exploratory Data Analysis |
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102 | (23) |
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PART III Cross-Tabulation |
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125 | (24) |
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6 Data Analysis with Cross-Tabulation |
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127 | (22) |
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PART IV Univariate Statistical Inferences |
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149 | (50) |
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7 Independent-Sample t-Test |
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151 | (18) |
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169 | (17) |
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186 | (13) |
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PART V Experimental Designs: Analysis of Variance |
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199 | (54) |
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10 One-Way Analysis of Variance (ANOVA) |
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201 | (30) |
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11 Two-Way ANOVA Factorial Design |
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231 | (22) |
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PART VI Relationship Measurement and Predictive Analysis |
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253 | (96) |
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12 Measures of Association |
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255 | (17) |
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13 Simple Linear Regression |
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272 | (22) |
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14 Multiple Linear Regression |
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294 | (32) |
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15 Binary Logistic Regression |
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326 | (23) |
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PART VII Non-Parametric Tests |
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349 | (32) |
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351 | (30) |
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PART VIII Reliability and Probability Distribution |
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381 | (2) |
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383 | |
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1 | (16) |
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19 One-Way ANOVA Repeated Measures |
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17 | (21) |
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20 Probability and Sampling Distribution |
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38 | |
| Appendix: Description of SPSS Data Sets |
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1 | (1) |
| Index |
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1 | |
Lokesh Jasrai is Associate Professor, Mittal School of Business, Lovely Professional University, Punjab, India. A post-graduate (MBA-Agri-Business) from Institute of Agri-Business Management, Bikaner, Rajasthan, and PhD in rural marketing, Dr Jasrai has been actively involved in imparting quality education in the field of business administration. He has 12 years of full-time teaching and research experience in the field of management (marketing). As a keen researcher, he has presented several research papers in national and 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 also has a life membership of Punjab Commerce and Management Association.
