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Statistics in Psychology : Explanations Without Equations - Stephen Jones

Statistics in Psychology

Explanations Without Equations

Paperback

Published: 15th September 2010
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How do you choose the appropriate statistical method for any given research task? What are the features that discern one statistical method from another, and for which research projects are they appropriate to use? Written specifically with the undergraduate psychology student in mind and for those who desire an explanation for the use of statistics in psychological research without the mathematics, this refreshing and much-needed introduction is invaluable for any psychology students who 'don't get numbers'. Breaking away from the traditional, numerical approaches, Jones delivers an engaging and insightful read into the rationale behind the use of statistics, drawing upon non-numerical examples and scenarios from both psychological literature and everyday life to explain key statistical concepts. Learn about the methods for testing populations and samples, standard errors, inferential and descriptive statistics as well as variables and participants.

This is an ideal companion to core textbooks and will serve a clearer understanding of statistical methods in psychology. By reading this book students can hope to gain a better sense of what makes empirically valid research and learn to critically evaluate facts and figure in any presented research. The foundations of psychology's claims are the empiricism of well-conducted and reliable data.

'Statistics in Psychology offers an excellent gentle introduction to the area of statistics for any student new to psychology and who may suffer from a 'fear of numbers'. This student-friendly text provides a clear explanation of the key statistical concepts without reference to mathematical formulae. A great emphasis on everyday examples and actual psychological studies makes this book an invaluable addition to any student's or lecturer's bookshelf.' - Dr Jean-Francois Delvenne, University of Leeds, UK 'An excellent and student-friendly introductory text. The use of non-numerical examples and psychologically based scenarios is a refreshing and reassuring approach to introducing a topic that many students regard with trepidation.' - Dr Judith A. Smith, University of Liverpool, UK "friendly and accessible... a good starting point for many first-year psychology students." - George Sandamas, Department of Psychology, Middlesex University, UK

List of illustrationsp. x
Prefacep. xiii
Acknowledgementsp. xvi
Variables and participantsp. 1
Variables and their measurementp. 3
Conceptsp. 3
Everyday examplesp. 5
From the literaturep. 8
Narrativep. 18
Further readingp. 21
Research designp. 23
Conceptsp. 23
Everyday examplesp. 25
From the literaturep. 27
Narrativep. 30
Further readingp. 34
Summaryp. 35
Chapter 1 self-testp. 37
Descriptive statisticsp. 39
Summarizing findings via measures of central tendencyp. 41
Concepts (Mode, Median and Mean)p. 41
Everyday examplesp. 43
From the literaturep. 47
Narrativep. 50
Further readingp. 51
Summarizing findings via measures of dispersionp. 52
Concepts (Range and Interquartile range, Variance, Standard deviation)p. 52
Everyday examplesp. 54
From the literaturep. 56
Narrativep. 59
Further readingp. 61
Summarizing findings via percentiles and standard scoresp. 62
Concepts (Percentiles and Z-scores)p. 62
Everyday examplesp. 63
From the literaturep. 67
Narrativep. 69
Further readingp. 71
Summaryp. 72
Chapter 2 self-testp. 74
Prelude to testingp. 76
Populations, samples and standard errorsp. 78
Conceptsp. 78
Examples and illustrationsp. 81
Further readingp. 84
Hypothesis testing, probability and the statistical significancep. 85
Conceptsp. 85
Examples and illustrationsp. 87
Further readingp. 91
Parametric assumptionsp. 92
Conceptsp. 92
Examples and illustrationsp. 95
Further readingp. 99
Narrativep. 100
Summaryp. 103
Chapter 3 self-testp. 105
Inferential statisticsp. 107
Parametric testingp. 110
Concepts (Difference between, Difference within, Correlation)p. 110
Everyday examplesp. 112
From the literaturep. 120
Narrativep. 135
Further readingp. 141
Non-parametric testing (ordinal)p. 142
Concepts (Difference between, Difference within, Correlation)p. 142
Everyday examplesp. 144
From the literaturep. 150
Narrativep. 165
Further readingp. 170
Non-parametric testing (nominal)p. 171
Concepts (Difference between, Difference within)p. 171
Everyday examplesp. 172
From the literaturep. 177
Narrativep. 190
Further readingp. 193
Summaryp. 194
Chapter 4 self-testp. 195
And finally...p. 198
Appendixp. 200
Glossaryp. 202
Referencesp. 210
Answers to self-testsp. 215
Indexp. 219
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780230247499
ISBN-10: 0230247490
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 220
Published: 15th September 2010
Country of Publication: GB
Dimensions (cm): 21.8 x 14.2  x 1.4
Weight (kg): 0.32
Edition Number: 1