SPSS survival manual: a step by step guide to data analysis using IBM SPSS
Julie Pallant
- Resource Type:
- Book (Print/Paper)
- Edition:
- 6th edition
- Publication:
- Maidenhead, Berkshire, England : McGraw-Hill Education, 2016
- Copyright:
- ©2016
Availability
Location | Call Number | Availability | Request |
---|---|---|---|
Sycamore Library Reserves | HA32 .P35 2016 | Available |
More Details
- Summary:
- "The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling guide, 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 data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non-parametric statistics, importing data, and calculating dates."--Publisher's website.
- Table of Contents:
- Preface
- Data files and website
- Introduction and overview
- Part 1. Getting started. Designing a study ; Preparing a codebook ; Getting to know IBM SPSS
- Part 2. Preparing the data file. Creating a data file and entering data ; Screening and cleaning the data
- Part 3. 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 4. Statistical techniques to explore relationships among variables. Correlation ; Partial correlation ; Multiple regression ; Logistic regression ; Factor analysis
- Part 5. 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.
- Author/Creator:
- Pallant, Julie , author
- Languages:
- English
- Language Notes:
- Item content: English
- Main Work:
- Subjects:
- General Notes:
- Includes bibliographical references and index.
- Physical Description:
- xv, 352 pages : illustrations ; 26 cm
- Call Numbers:
- HA32 .P35 2016
- ISBNs:
- 9780335261543 (paperback)
033526154X (paperback) - OCLC Numbers:
- 948443137