Discovering statistics using IBM SPSS
Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility …
Read More ↓Title Statements
- Full title :Discovering statistics using IBM SPSS / Andy Field.
Summary
Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. -- From publisher's web site.
Read More ↓Edition Statements
- Publication Date:2013.
- Edition:4th ed
Publication Statements
- Publisher(s):SAGE
- Place of Publication:London
- Language:eng
- Publication Date:2013.
Notes
Previous edition: 2009.
The Physical Object
- Description:pages
Edition Identifiers
- ISBN:9781446249178, 1446249174, 1446249182, 9781446249185
- oclc:ocn820780510
- LC Classification:HA32
- Dewey Decimal:519.50285536
Table of Contents
Why is my evil lecturer forcing me to learn statistics? -- Everything you never wanted to know about statistics -- The IBM SPSS statistics environment -- Exploring data with graphs -- The best of bias -- Non-parametric models -- Correlation -- Regression -- Comparing two means -- Moderation, mediation and more regression -- Comparing several means : ANOVA (GLM 1) -- Analysis of covariance : ANOVA (GLM 2) -- Factorial ANOVA (GLM 3) Repeated-measures (GLM 4) -- Mixed design (GLM 5) -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical data -- Logistic regression -- Multilevel linear models -- Epilogue : life after discovering statistics.
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