The internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics version 26.
The internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics version 26.
JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities. She now works as a research and statistical consultant internationally.
Inhaltsangabe
Preface Data files and website Introduction and overview Part One Getting started 1 Designing a study 2 Preparing a codebook 3 Getting to know IBM SPSS Statistics Part Two Preparing the data file 4 Creating a data file and entering data 5 Screening and cleaning the data Part Three Preliminary analyses 6 Descriptive statistics 7 Using graphs to describe and explore the data 8 Manipulating the data 9 Checking the reliability of a scale 10 Choosing the right statistic Part Four Statistical techniques to explore relationships among variables 11 Correlation 12 Partial correlation 13 Multiple regression 14 Logistic regression 15 Factor analysis Part Five Statistical techniques to compare groups 16 Non-parametric statistics 17 T-tests 18 One-way analysis of variance 19 Two-way between-groups ANOVA 20 Mixed between-within subjects analysis of variance 21 Multivariate analysis of variance 22 Analysis of covariance Appendix: Details of data files Recommended reading References Index
Preface Data files and website Introduction and overview Part One Getting started 1 Designing a study 2 Preparing a codebook 3 Getting to know IBM SPSS Statistics Part Two Preparing the data file 4 Creating a data file and entering data 5 Screening and cleaning the data Part Three Preliminary analyses 6 Descriptive statistics 7 Using graphs to describe and explore the data 8 Manipulating the data 9 Checking the reliability of a scale 10 Choosing the right statistic Part Four Statistical techniques to explore relationships among variables 11 Correlation 12 Partial correlation 13 Multiple regression 14 Logistic regression 15 Factor analysis Part Five Statistical techniques to compare groups 16 Non-parametric statistics 17 T-tests 18 One-way analysis of variance 19 Two-way between-groups ANOVA 20 Mixed between-within subjects analysis of variance 21 Multivariate analysis of variance 22 Analysis of covariance Appendix: Details of data files Recommended reading References Index
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