Statistics Without Maths for Psychology

Statistics Without Maths for Psychology

3.33 (3 ratings by Goodreads)
  • Paperback
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Description

This book is distinguished by the fact that it simplifies some very difficult statistical concepts, using minimal mathematics. The aim is to teach the concepts rather than the mathematical formulae or calculations of data analysis.show more

Product details

  • Paperback | 624 pages
  • 173 x 234 x 34mm | 1,030g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • 2nd edition
  • 0130336335
  • 9780130336330

Review quote

'This is the kind of statistics book that I would like to write. Luckily, I don't have to do that now' 'I fully recommend this book as an undergraduate statistics text for those who prefer a minimal maths approach. If you also teach SPSS then coverage of that package is a bonus' 'Here at last is a book which does not over-burden the student with too much maths but which also takes the subject seriously, giving detailed explanations and providing good topic coverage' 'This is a book that can be used throughout the undergraduate career' "Andrew Schofield, University of Birmingham Psychology Learning & Teaching, Volume 4: Issue 1, September 2004" 'This clear, concise, step by step approach, without a mathematical formula in sight really does replace the familiar feelings of dread and intimidation, with confidence and motivation to use and understand statistical tests.' "Amazon reviewer, Jan 2002. """show more

Table of contents

1. Variables and research design 2. Descriptive statistics 3. Probability, sampling and distributions 4. Hypothesis testing and statistical significance 5. Correlational analysis: Pearson's "r "6. Analyses of differences between two conditions: the t-test 7. Issues of significance 8. Measures of association 9. Analysis of differences between three or more conditions: one-factor ANOVA 10. Analysis of variance with more than one IV 11. Regression analysis 12. Introduction to factor analysis 13. Analysis of three or more groups partialling out effects of a covariate 14. Introduction to multivariate analysis of variance (MANOVA) 15. Non-parametric statisticsshow more

Rating details

3 ratings
3.33 out of 5 stars
5 33% (1)
4 0% (0)
3 33% (1)
2 33% (1)
1 0% (0)
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