Dominic Upton, Holly Andrews, Catherine Steele

Psychology Express: Statistics and SPSS eBook (Undergraduate Revision Guide) (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This revision guide book covers the major areas of Statistical Analysis covered in Undergraduate Psychology. The focus is on the practical application of statistics to assignments and assessmentsthat youmay encounter. To ensure that you are able to apply statistics, particular attention is given to the key conceptsyou need to understand in order to be able to use statistics correctly; the process you need to follow in order to choose the correct statistic; and what you need to do to present and interpret your statistics correctly. The coverage of the individual tests focus on pragmatic issues, such as when the test is appropriate, how to format data correctly and what to do when you don't get the data you expect. You are directed to further readings for the mathematical underpinnings of the statistical tests.

Examples and case studies are used throughout, so you can see the application of statistics to problems that are similar to those you are likely to encounter. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process/exam preparation.

A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 200
• Altersempfehlung: ab 18 Jahre
• Erscheinungstermin: 19. Februar 2014
• Englisch
• ISBN-13: 9780273759645
• Artikelnr.: 40613190

Autorenporträt

Dominic Upton, University of Worcester

Holly Andrews, University of Worcester

Catherine Steele, University of Worcester

Inhaltsangabe

Acknowledgements
Introduction
Guided tour
Guided tour of the companion website
Chapter 1         An introduction to statistics for psychology
Chapter 2         Basic concepts
Chapter 3         Describing the data: distribution, averages and variance
Chapter 4         Chi-square analysis
Chapter 5         Correlation analysis
Chapter 6         T-tests
Chapter 7         Comparing data: more than two groups
Chapter 8         Multiple regression analysis
Chapter 9         Presenting the data: tables, figures and graphs
Chapter 10       Interpreting data: drawing conclusions
And finally, before the exam . . .
Glossary of terms
References
Index