This latest edition of SPSS: Analysis Without Anguish is based on Version 16.0 of SPSS for Windows. SPSS is a sophisticated piece of software used by social scientists and related professionals for statistical analysis.
Always popular in previous editions, SPSS: Analysis without Anguish Version 16.0 for Windows continues to address the needs of all users of SPSS software. It serves as a practical introduction to new users and also allows those wishing to undertake more advanced analysis to work their way systematically through each stage.
Extensive use of screen displays and a range of step-by-step working and practice examples remain as features of the workbook.
SPSS: Analysis without Anguish Version 16.0 is suitable across a number of disciplines, including business, health, social sciences, environmental science and geography. It can also be value packed with other Wiley textbooks in subjects such as statistics, market research and research methods to save students money.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Gewicht
ISBN-13
978-0-470-81779-7 (9780470817797)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Coakes Consulting, Sydney, Australia
Section One - How to use SPSS
Chapter 1 Introduction to SPSS
Chapter 2 Preparation of data files
Chapter 3 Data screening and transformation
Chapter 4 Descriptive statistics
Chapter 5 Correlation
Chapter 6 T-tests
Chapter 7 One-way between groups ANOVA with post-hoc comparisons
Chapter 8 One-way between groups ANOVA with planned comparisons
Chapter 9 Two-way between groups ANOVA
Chapter 10 One-way repeated measures ANOVA
Chapter 11 Two-way repeated measures ANOVA
Chapter 12 Trend analysis
Chapter 13 Mixed/split plot design SPANOVA
Chapter 14 One-way analysis of covariance ANCOVA
Chapter 15 Reliability analysis
Chapter 16 Factor analysis
Chapter 17 Multiple regression
Chapter 18 Multiple analysis of variance (MANOVA)
Chapter 19 Non-parametric techniques
Chapter 20 Multiple response and multiple dichotomy analysis
Chapter 21 Multidimensional scaling
Chapter 22 Working with output
Section Two - Analysing data with SPSS
Chapter 23 Introduction and research questions
Chapter 24 Practicing analytical techniques
Section Three - Further practice
Chapter 25 Extra practice
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