| Description |
The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software. In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. Statistical techniques covered include:
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| Author Biography |
| Table of Contents |
Data files and website Introduction & overview PART ONE: GETTING STARTED Chapter 1: Designing a study Chapter 2: Preparing a codebook Chapter 3: Getting to know SPSS PART TWO: PREPARING THE DATA FILE Chapter 4: Creating a data file and entering data Chapter 5: Screening and cleaning the data PART THREE: PRELIMINARY ANALYSES Chapter 6: Descriptive statistics Chapter 7: Using graphs to describe and explore data Chapter 8: Manipulating the data Chapter 9: Checking the reliability of a scale Chapter 10: Choosing the right statistic PART FOUR: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS Techniques covered in Part Four Revision of the basics References Chapter 11: Correlation Chapter 12: Partial correlation Chapter 13: Multiple regression Chapter 14: Logistic regression Chapter 15: Factor analysis PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS Techniques covered in Part Five Assumptions Type 1 error, Type 2 error and power Planned comparisons/Post-hoc analyses Effect size References Chapter 16: T-tests Chapter 17: One-way analysis of variance Chapter 18: Two-way between-groups ANOVA Chapter 19: Mixed between-within subjects analysis of variance Chapter 20: Multivariate analysis of variance Chapter 21: Analysis of covariance Chapter 22: Non-parametric statistics Appendices Recommended references Index |




