Learning to Use Statistical Tools in Psychology

Learning to Use Statistical Tools in Psychology

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Learning to Use Statistical Tools in Psychology by Judith Greene, Manuela d'Oliveira, Manuela D'Oliveira, Manuela d'Oliveira

This book shows psychology students:
* How psychologists plan experiments and statistical tests
* Why they must plan them within certain constraints
* How they can analyse and make sense of their results

The approach is that:
* Theory is always presented together with practical examples
* Theoretical points are summarized and understanding of them tested
* Statistical principles are introduced as part and parcel of the principles of experimental design

The second edition of this widely acclaimed text is an accessible and comprehensible introduction to the use of statistical tests in psychology experiments: statistics without panic. Presented in a new textbook format, its key objective is to enable students to select appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. Improvements in the organization of chapters emphasize even more clearly the principle of introducing complex experimental designs on a 'need to know' basis, leaving more space for an extended interpretation of analysis of variance. In an important development for the second edition, students are introduced to modern statistical packages as a useful tool for calculations, the emphasis being on understanding and interpretation.

Product Details

ISBN-13: 9780335203772
Publisher: Open University Press
Publication date: 01/28/2000
Series: Open Guides to Psychology Series
Edition description: Older Edition
Pages: 222
Product dimensions: 6.62(w) x 9.34(h) x 0.46(d)

Table of Contents

Preface to Second Edition
Study guide for students

Part one: Introduction

Introduction to experimental research
Introduction to experimental design
Introduction to statistical analysis
Selecting a statistical test

Part two: Non-parametric tests

General method for non-parametric tests
Non-parametric tests (two-conditions)
Non-parametric tests (three or more conditions)
The Chi Square

Part three: Parametric tests

Requirements for parametric tests
General method for parametric tests
The t test
One-way ANOVA
Multivariable experimental designs
Two-way ANOVA
Answers to questions
Recommended reading
Appendix 1: computerized statistical packages
Appendix 2: statistical tables A-J

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