This practical and highly visual text introduces students to a range of commonly used statistical procedures typically included in the curricula of undergraduate applied statistics and research methodology units. The text takes a hands-on approach to the subject matter, working through each procedure in an illustrated, step-by-step fashion. As well as a focus on "doing", the authors also emphasise interpretation and reporting throughout using many examples with annotated SPSS output and explanations of how specific research findings can be communicated clearly and concisely.
Author(s): Peter Allen, Kellie Bennett
Edition: 3, illustrated
Publisher: Cengage Learning
Year: 2014
Language: English
Pages: 328
City: South Melbourne
Tags: Statistics, SPSS
Preface ... p.xi
Acknowledgements ...p. xiv
Providing Feedback ... p.xiv
About the Authors ... p.xiv
Chapter 1: Getting Started With SPSS Statistics ... p.1
Chapter 2: Working With Data ... p.7
Chapter 3: Summarising and Displaying Data ... p.19
Chapter 4: One Sample t Test ... p.33
Chapter 5: Independent Samples t Test ... p.47
Chapter 6: Paired Samples t Test ... p.61
Chapter 7: One-Way Between Groups ANOVA ... p.75
Chapter 8: Factorial Between Groups ANOVA ... p.91
Chapter 9: One-Way Repeated Measures ANOVA and Mixed Model ANOVA ... p.109
Chapter 10: One-Way Analysis of Covariance (ANCOVA) ... p.127
Chapter 11: Multivariate Analysis of Variance (MANOVA) ... p.145
Chapter 12: Correlation ... p.167
Chapter 13: Multiple Regression ... p.179
Chapter 14: Logistic Regression ... p.199
Chapter 15: Factor Analysis ... p.213
Chapter 16: Reliability Analysis ... p.225
Chapter 17: Non-Parametric Procedures ... p.239
Chapter 18: Working with Syntax ... p.295
References ... p.301
Index ... p.303