SPSS for Applied Sciences
Basic Statistical Testing
Clearly explains how to use SPSS statistical software, including tests and worked examples.
This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. + Full description
The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets.
Examples are given from agriculture, arboriculture, biology, computer science, ecology, engineering, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy, sports science, audiology and epidemiology.- Short description
No longer available in a print edition.
"This is the best statistics book I've ever read! Cole leads learners quickly through everything they need to know in order to get the job done. It is so well written that one can simply do an advanced statistical analysis just by reading it and following the SPSS screenshots."
Ofra Reuven, Statistician and Data Analyst
"I feel totally out of my depth whenever someone mentions anything to do with statistics or statistical testing. Cole Davis' book is invaluable to the likes of me and even those at an intermediate level. It will definitely give you confidence and enable you to extend your expertise in scientific surroundings and be of enormous benefit to you."
Kerin Freeman, Scientific Editor
"This book is important particularly to those who wish to use SPSS as an analytical tool from the beginning. Cole Davis contributes significantly to the understanding of statistics; the clarity of his writing, his ability to explain statistical nuances shines through."
Steven Chan, Professor of Surgery, The University of Melbourne
DetailsePDF | August 2013
Publisher: CSIRO Publishing
ePUB | August 2013
Publisher: CSIRO Publishing
- Written for beginners or intermediate users
- Provides an easily read basic guide to SPSS with no mathematical formulae
- Progresses logically, with clear explanations
- Includes useful tests, each accompanied by a worked example, with relevance to a range of interests
- Offers a clear explanation of factor analysis
- Compatible with versions 17-20
Customers in more than 100 countries around the world use SPSS analytics:
- Both the Republican and Democratic parties poll citizens using analytics from SPSS
- All 50 U.S. state governments use analytics from SPSS
- The top 10 largest market research firms use SPSS software
- More than 90% of the top U.S. universities use SPSS software
- More than 85% of the top consumer packaged goods companies use SPSS analytics
- The top 10 pharmaceutical companies in the world use SPSS analytics
- The largest newspaper companies in the U.S. use SPSS software
ContentsPart 1 Pre-test considerations
Chapter 1 Introduction
Chapter 2 Descriptive and inferential statistics introduced
Chapter 3 Parametric and non-parametric tests
Chapter 4 Using SPSS
Chapter 5 Practical research
Part 2 Using the statistical tests
Chapter 6 Experiments and quasi-experiments
Tests include: unpaired t-test, Mann-Whitney, between subjects one-way ANOVA, Kruskal-Wallis paired t-test, Wilcoxon, within subjects one-way ANOVA, Friedman between subjects two way ANOVA, between subjects three way ANOVA within subjects two way ANOVA, within subjects three way ANOVA, Mixed design: two way ANOVA, Mixed design: three way ANOVA (2 between subjects, 1 within; also 2 within, 1 between)
Chapter 7 Frequency of observations
Tests include: the binomial test, the McNemar test, Chi Square goodness of fit test, customized expected values with Chi Square goodness of fit, Chi Square test of association
Chapter 8 The time until events
Tests include: the Kaplan–Meier survival function, tests of significance, the life table
Chapter 9 Correlations, regression and factor analysis
Tests include: Pearson, Spearman/Kendall's tau b, simple linear regression, multiple regression, partial correlation, multiple correlation, factor analysis
Part 3 Miscellaneous
Chapter 10 Exercises
Chapter 11 Reporting in applied settings
Chapter 12 Advanced statistical techniques – a taster
View the full table of contents.