图书简介
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 as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing 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 readers who wish to delve further. This edition features a new chapter examining ideas on how causality might be identified when data is not obtained from an experiment and has been thoroughly updated throughout to reflect 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.This is a must read for professional psychologists as well as students and researchers of Psychology, Statistics and Research Methods. This book is also invaluable for anyone interested in conducting quantitative psychological research.
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: 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 samp
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