Early Success in Statistics

Early Success in Statistics : A guide for students of psychology and health

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Description

Core text for first year introductory module in statistics for undergraduates in psychology and related areas, particularly Health Sciences. Also suitable for A Level Psychology students, and for health professionals carrying out quantitative research for the first time. This book enables students in the health sciences to complete an introductory course in statistics quickly and successfully. Although brief and easy to use, it covers all the major statistical concepts and main SPSS operations, teaching statistical concepts as a whole through a unique combination of narrative, logic puzzles, SPSS examples, statistical knowledge, research papers, and self-assessment tasks. Research examples and datasets are included, together with guidance on writing up results for reports/publication. Chapters can be completed in 1 to 2 hours, with students being able to demonstrate that they have understood the concepts presented by self-assessment and/or by accessing further problems/assessment via the Web.
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Product details

  • Paperback | 200 pages
  • 154 x 230 x 10mm | 299.37g
  • Prentice Hall
  • Upper Saddle River, United States
  • 0130196460
  • 9780130196460

Table of contents

1. A MAP OF STATISTICAL CONCEPTS
Map of how all the different statistical debates and concepts are intertwined.
Debates surrounding the use of Parametric/non-parametric tests
2. VARIABLES: THEIR CENTRAL ROLE ON UNDERSTANDING STATISTICS.
The nature of variables: Thinking about variables.
Data Input in SPSS for Windows
3. CHANGING, COMBINING AND DESCRIBING VARIABLES.
What are descriptive statistics and how best to use them.
Measures of Frequency and Central Tendency
Tables and Graphs
4. AN INTRODUCTION TO INFERENTIAL STATISTICS
concepts which underlie statistical hypothesis testing
confidence intervals, distribution, probability, and errors types.
parametric and non-parametric testing
5. PARAMETRIC TESTS
Pearson product moment-correlation, t tests, Within and Between Subjects Analysis of Variance, Post-hoc comparisons. Writing up tests.
6. NON-PARAMETRIC TESTS
Chi-square, Spearman's Rho, Wilcoxon Sign-Ranks test, Mann Whitney U test, Kruskal Wallis H Test and the Friedman test.
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