This completed downloadable of Quantitative psychological research the complete student s companion 4th Edition David Clark-Carter
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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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