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Statistics Without Maths for Psycho
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British Psychological Society stand
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Pearson Education Limited Edinburgh
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Brief contents Preface xvii Acknowl
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x Contents 3.3 Sampling error 48 SP
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xii Contents 8.3 Power 248 8.4 Fact
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xiv Contents 14 Introduction to fac
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Supporting resources Visit www.pear
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xviii Preface Although we have upda
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xx Preface of each chapter there is
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xxii Acknowledgements inferences, J
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Guided tour of the book and website
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xxvi Guided tour of the book and we
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CHAPTER OVERVIEW CHAPTER 1 Variable
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CHAPTER 1 Variables and research de
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Discussion point Dichotomising cont
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1.3 Levels of measurement CHAPTER 1
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CHAPTER 1 Variables and research de
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Definition CHAPTER 1 Variables and
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Definition CHAPTER 1 Variables and
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Definition CHAPTER 1 Variables and
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Definition CHAPTER 1 Variables and
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Definition Activity 1.3 1.5.2 Betwe
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CHAPTER 1 Variables and research de
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CHAPTER 1 Variables and research de
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CHAPTER OVERVIEW CHAPTER 2 Introduc
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CHAPTER 2 Introduction to SPSS 27 Y
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CHAPTER 2 Introduction to SPSS 29 I
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CHAPTER 2 Introduction to SPSS 31 O
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CHAPTER 2 Introduction to SPSS 33 Y
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CHAPTER 2 Introduction to SPSS 35 2
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CHAPTER 2 Introduction to SPSS 37 C
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2.7 Within-participants designs CHA
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CHAPTER OVERVIEW CHAPTER 3 Descript
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Definitions CHAPTER 3 Descriptive s
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Definition CHAPTER 3 Descriptive st
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CHAPTER 3 Descriptive statistics 47
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Activity 3.4 CHAPTER 3 Descriptive
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Definition CHAPTER 3 Descriptive st
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CHAPTER 3 Descriptive statistics 53
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3.4 Graphically describing data Def
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Figure 3.3 Histogram of the depress
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Figure 3.5 Example of a stem and le
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CHAPTER 3 Descriptive statistics 61
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CHAPTER 3 Descriptive statistics 63
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CHAPTER 3 Descriptive statistics 65
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3.5 Scattergrams Definition CHAPTER
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SPSS: generating scattergrams CHAPT
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CHAPTER 3 Descriptive statistics 71
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3.7 The normal distribution CHAPTER
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3.8.1 The range CHAPTER 3 Descripti
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Definition CHAPTER 3 Descriptive st
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SPSS: obtaining measures of variati
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CHAPTER 3 Descriptive statistics 81
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Figure 3.25 Bimodal distribution CH
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Activity 3.9 Which of the following
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CHAPTER 6 Correlational analysis: P
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Activity 6.8 Look at the following
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SPSS: obtaining a scattergram matri
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CHAPTER 6 Correlational analysis: P
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CHAPTER 6 Correlational analysis: P
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CHAPTER 6 Correlational analysis: P
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Personal reflection Emeritus Profes
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Activity 6.10 CHAPTER 6 Correlation
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Summary CHAPTER 6 Correlational ana
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Multiple choice questions CHAPTER 6
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Which is the most sensible answer?
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CHAPTER 6 Correlational analysis: P
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CHAPTER OVERVIEW CHAPTER 7 Analyses
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CHAPTER 7 Analyses of differences b
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CHAPTER 7 Analyses of differences b
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Table 7.3 Raw data for NOISE/NO NOI
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7.1.8 Output for independent t-test
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CHAPTER 7 Analyses of differences b
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SPSS: for an independent t-test CHA
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CHAPTER 7 Analyses of differences b
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CAUTION! CHAPTER 7 Analyses of diff
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Mean (SD) performance for each task
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CHAPTER 7 Analyses of differences b
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Then we come to the paired sample s
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1. The value of the test statistic
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SPSS exercise CHAPTER 7 Analyses of
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Questions 8 to 10 relate to the fol
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CHAPTER 7 Analyses of differences b
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CHAPTER OVERVIEW CHAPTER 8 Issues o
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Personal reflection From Professor
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CHAPTER 8 Issues of significance 24
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CHAPTER 8 Issues of significance 24
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CHAPTER 8 Issues of significance 25
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8.5 Calculating power CHAPTER 8 Iss
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Example from the literature Cogniti
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CHAPTER 8 Issues of significance 25
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8. All other things being equal, th
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17. Confi dence intervals around a
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CHAPTER OVERVIEW CHAPTER 9 Measures
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9.2 One-variable 7 2 or goodness-of
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4. The fi gures are then added to g
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This opens the Chi-square dialogue
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Activity 9.3 The goodness-of-fit te
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CHAPTER 9 Measures of association 2
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Finally, click on OK: This produces
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The data can be written as shown in
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This brings up the following dialog
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9.3.2 Output for 2 ¥ 2 G 2 CHAPTER
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We then have the test statistics: C
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Also, for the test statistic to be
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CHAPTER 9 Measures of association 2
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Summary • For the analysis of rel
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B: The wettest day of the week put
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7. Look at the following output: c
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There is something wrong with the a
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CHAPTER OVERVIEW CHAPTER 10 Analysi
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There are two types of ANOVA: CHAPT
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CHAPTER 10 Analysis of differences
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CHAPTER 10 Analysis of differences
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CHAPTER 10 Analysis of differences
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ONEWAY CHAPTER 10 Analysis of diffe
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CHAPTER 10 Analysis of differences
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CHAPTER 10 Analysis of differences
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CHAPTER 10 Analysis of differences
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CHAPTER 10 Analysis of differences
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10.7.3 Post-hoc tests/planned CHAPT
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Figure 10.5 Mean symptom severity r
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CHAPTER 10 Analysis of differences
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2. Which is the most appropriate co
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CHAPTER 10 Analysis of differences
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Which is the most appropriate state
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CHAPTER OVERVIEW CHAPTER 11 Analysi
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CHAPTER 11 Analysis of variance wit
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11.4 ANOVA terminology CHAPTER 11 A
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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11.6.1 Sources of variance CHAPTER
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CHAPTER 11 Analysis of variance wit
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T-TEST CHAPTER 11 Analysis of varia
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11.6.3 Effect size CHAPTER 11 Analy
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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CHAPTER 11 Analysis of variance wit
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Example from the literature Attenti
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Click on the Defi ne button and set
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SPSS exercises Exercise 1 CHAPTER 1
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2. ANOVA is useful for: (a) Teasing
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CHAPTER 11 Analysis of variance wit
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References Baron-Cohen, S., Wheelwr
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CHAPTER 12 Regression analysis 385
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Figure 12.2 Scatterplot with line o
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CHAPTER 12 Regression analysis 389
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Ensuring that the Linear option is
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CHAPTER 12 Regression analysis 393
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Figure 12.5 Plot of x with y CHAPTE
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Figure 12.7 Plot of x with y CHAPTE
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Figure 12.8 Plot of sales against p
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SPSS: linear regression analysis Se
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Variance explained CHAPTER 12 Regre
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CHAPTER 12 Regression analysis 405
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CHAPTER 12 Regression analysis 407
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CHAPTER 12 Regression analysis 409
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R 2 CHAPTER 12 Regression analysis
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Y (predicted examination success) =
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Personal reflection Article: Barrie
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Summary • Regression analysis all
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Multiple choice questions 1. The li
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10. The correlation between credit
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20. Which is the most appropriate s
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Example CHAPTER 13 Analysis partial
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This gives you the following dialog
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CHAPTER 13 Analysis partialling out
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CHAPTER 13 Analysis partialling out
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Figure 13.4 Regression lines for ea
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In addition, for most purposes: CHA
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Figure 13.11 Regression lines for t
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CHAPTER 13 Analysis partialling out
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SPSS: obtaining output for an ANCOV
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CHAPTER 13 Analysis partialling out
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Figure 13.12 Regression lines for e
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Activity 13.4 ANCOVA assumes that:
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SPSS exercise CHAPTER 13 Analysis p
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5. The covariate is: (a) Beginning
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Questions 16 to 20 relate to the fo
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CHAPTER OVERVIEW CHAPTER 14 Introdu
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Activity 14.1 CHAPTER 14 Introducti
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Figure 14.1 Ten correlated variable
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CHAPTER 14 Introduction to factor a
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CHAPTER 14 Introduction to factor a
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466 Statistics without maths for ps
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608 z-score Statistics without math
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612 Index autism-like traits 348 av
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614 Index expected frequencies 265,
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616 Index mental health procrastina
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618 Index sample size 250 - 2, 253
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620 Index Weight Cases dialogue box