Quantitative Psychological Research

David Clark-Carter is Professor Emeritus of Psychological Research Methods at Staffordshire University and a Consulting Editor of the British Journal of Mathematical and Statistical Psychology. In 2016 he was awarded the lifetime achievement award by the Education and Public Engagement Board of the BPS. His research has included psychological aspects of sensory impairment, health psychology and the use made by psychologists of research methods.

Detailed contents of chapters

Preface

Part 1

Introduction

1 The methods used in psychological research

Part 2

Choice of topic, measures and research design

2 The preliminary stages of research

3 Variables and the validity of research designs

4 Research designs and their internal validity

Part 3

Methods

5 Asking questions I: Interviews and surveys

6 Asking questions II: Measuring attitudes and meaning

7 Observation and content analysis

Part 4

Data and analysis

8 Scales of measurement

9 Summarising and describing data

10 Going beyond description

11 Samples and populations

12 Analysis of differences between a single sample and a population

13 Effect size and power

14 Parametric and non-parametric tests

15 Analysis of differences between two levels of an independent variable

16 Preliminary analysis of designs with one independent variable with
more than two levels

17 Analysis of designs with more than one independent variable

18 Subsequent analysis after ANOVA or χ2

19 Analysis of relationships I: Correlation

20 Analysis of relationships II: Regression

21 Analysis of relationships III: Logistic regression

22 Analysis of covariance (ANCOVA)

23 Screening data

24 Exploratory Factor Analysis (EFA)

25 Multivariate analysis

26 Meta-analysis

27 Bayesian statistics

28 Cause and effect

Part 5

Sharing the results

29 Reporting research

Appendixes

I. Descriptive statistics

(linked to Chapter 9)

II. Sampling and confidence intervals for proportions

(linked to Chapter 11)

III. Comparing a sample with a population

(linked to Chapter 12 and Chapter 11)

IV. The power of a one-group z-test and finding sample sizes via confidence intervals

(linked to Chapter 13)

V. Data transformation and goodness-of-fit tests

(linked to Chapter 14)

VI. Seeking differences between two levels of an independent variable

(linked to Chapter 15)

VII. Seeking differences between more than two levels of an independent variable (linked to Chapter 16)

VIII. Analysis of designs with more than one independent variable

(linked to Chapter 17)

IX. Subsequent analysis after ANOVA or χ2

(linked to Chapter 18)

X. Correlation and reliability

(linked to Chapter 19)

XI. Linear Regression

(linked to Chapter 20)

XII. Logistic regression

(linked to Chapter 21)

XIII. ANCOVA

(linked to Chapter 22)

XIV. Evaluation of measures: Item and discriminative analysis, and accuracy of tests

(linked to Chapter 6)

XV. Unbalanced designs

(linked to Chapter 23)

XVI Exploratory Factor Analysis

(linked to Chapter 24)

XVII. Meta-analysis

(linked to Chapter 26)

XVIII. Bayesian statistics

(linked to Chapter 27)

XIX. Probability tables

XX. Power tables

XXI. Miscellaneous tables

References

Glossary of symbols

Author index

Subject index