Quantitative psychological research the complete student s companion 4th Edition David Clark-Carter 1315398125 9781315398129

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Product details:

• ISBN 10:  1315398125
• ISBN 13: 9781315398129
• Author: David Clark-Carter

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 book is designed for anyone learning to conduct quantitative psychological research. It covers the full research process, from the original idea to reporting the completed study, emphasising the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for advanced readers. This edition features new chapters on exploratory factor analysis, logistic regression and Bayesian statistics, and has been thoroughly updated throughout to reflect the latest research practices. Care has been taken to avoid tying the book to any specific statistical software, providing readers with a thorough grounding in the basics no matter which package they go on to use. Whether you’re at the beginning of your undergraduate degree or working towards your masters or doctorate, this book will be invaluable for anyone looking to understand how to conduct quantitative psychological research.

Table of contents:

Chapter 1 The methods used in psychological research

Chapter 2 The preliminary stages of research

Chapter 3 Variables and the validity of research designs

Chapter 4 Research designs and their internal validity

Chapter 5 Asking questions I: interviews and surveys

Chapter 6 Asking questions II: measuring attitudes and meaning

Chapter 7 Observation and content analysis

Chapter 8 Scales of measurement

Chapter 9 Summarising and describing data

Chapter 10 Going beyond description

Chapter 11 Samples and populations

Chapter 12 Analysis of differences between a single sample and a population

Chapter 13 Effect size and power

Chapter 14 Parametric and non-parametric tests

Chapter 15 Analysis of differences between two levels of an independent variable

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

Chapter 17 Analysis of designs with more than one independent variable

Chapter 19 Analysis of relationships I: correlation

Chapter 20 Analysis of relationships II: linear regression

Chapter 21 Analysis of relationships III: logistic regression

Chapter 22 Analysis of covariance (ANCOVA)

Chapter 23 Screening data

Chapter 24 Exploratory factor analysis (EFA)

Chapter 25 Multivariate analysis

Chapter 26 Meta-analysis

Chapter 27 Bayesian statistics

Chapter 28 Reporting research

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