7th editionPDFSPSS Survival Manual 7th edition (seventh edition)
- Format
- Searchable PDF
- Version
- Digital enhanced version
- Delivery
- Instant access
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About this book
SPSS Survival Manual 7th edition by Julie Pallant provides practical instruction for conducting statistical analysis with IBM SPSS. The book guides students from preparing and screening data through selecting appropriate statistical procedures, running analyses, interpreting SPSS output, and reporting results clearly for research projects, dissertations, theses, and quantitative assignments.
The 7th edition covers creating and modifying data files, coding variables, checking data accuracy, descriptive statistics, graphical exploration, scale reliability, correlation, partial correlation, multiple regression, logistic regression, factor analysis, principal components analysis, t tests, one way and two way analysis of variance, analysis of covariance, multivariate analysis of variance, repeated measures designs, and nonparametric statistics. Step by step SPSS procedures are paired with explanations of assumptions, output tables, significance tests, effect sizes, and interpretation.
This book is especially useful for Psychology Students, Social Science Students, Nursing Students, Health Science Students, Education Students, Business Students, Sociology Students, Graduate Researchers, Dissertation Students, and anyone completing quantitative research with IBM SPSS. It is particularly valuable for choosing statistical tests, checking assumptions, interpreting output, troubleshooting analyses, and translating numerical results into clear research findings.
Psychology students, nursing students, social science researchers, graduate students, and dissertation candidates can use this edition to move from raw data to statistical interpretation without relying solely on software menus. The complete 7th edition is available as a searchable PDF enhanced digital version with instant access, making it convenient for statistics coursework, research methods assignments, thesis analysis, dissertation work, and SPSS reference.