Quantitative Psychological Research

Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research. Accessibly written and clearly presented, the

David Clark-Carter is Emeritus Professor at Staffordshire University and Consultant 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 British Psychological Society.

Contents 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 -2 19 Analysis of relationships I: correlation 20 Analysis of relationships II: linear 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 Part 5 Sharing the results 28 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) IV. The power of a one-group z-test (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 -2 (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. Exploratory Factor Analysis (linked to Chapter 24) XVI. Meta-analysis (linked to Chapter 26) XVII. Probability tables XVIII. Power tables XIX. Miscellaneous tables References Glossary of symbols Author index Subject index