Pallant, Julie
SPSS survival manual : a step by step guide to data analysis using SPSS A step by step guide to data analysis using the SPSS program Julie Pallant - 4th ed. - Berkshire : McGraw-Hill, c2010. - xiv, 345 p. : ill. ; 26 cm.
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index.
In this thoroughly revised fourth 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.
978-0335242399
Social sciences--Research--Statistical methods
Social sciences--Statistical methods--Computer programs
Social sciences--Research
Social sciences--Computer software
300/.285/55
SPSS survival manual : a step by step guide to data analysis using SPSS A step by step guide to data analysis using the SPSS program Julie Pallant - 4th ed. - Berkshire : McGraw-Hill, c2010. - xiv, 345 p. : ill. ; 26 cm.
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index.
In this thoroughly revised fourth 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.
978-0335242399
Social sciences--Research--Statistical methods
Social sciences--Statistical methods--Computer programs
Social sciences--Research
Social sciences--Computer software
300/.285/55