- ホーム
- > 洋書
- > 英文書
- > Psychology
Full Description
Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, all in a friendly and accessible way.
The text begins by presenting a thorough overview of research, explaining its central role in psychology as a science and exploring how to read and present research findings before introducing students to both qualitative and quantitative approaches to research. The author then explores experimental and correlational designs in detail, introducing the general principles before addressing the logic of the specific data analyses used in these forms of design. Dedicated chapters show students how to calculate independent and repeated t tests, and independent measures ANOVA in the experimental design section, and correlation and regression analyses in the correlation section. After guiding students through these essentials, the author moves on to a detailed explanation of when to use non-parametric tests, and again takes students through these data analyses in a carefully-paced series of hand calculations. The text concludes with a clear guide to when to use which test, and takes a look forward to the sorts of statistical analyses students will encounter in both published research and the next phase of their studies.
Online Resource Centre
For students:
- A diagnostic maths test to help students identify their - strengths and weaknesses
- Example lab reports (good and bad)
- Example ethics applications forms
- Full answers to the in-text study questions
- SPSS screencasts
- Links to papers and websites
For lecturers:
- Worksheets with additional datasets
- Fully worked answers to worksheets
- Testbank
- Figures and tables from the book, ready to download
- Animated solutions to the hand calculations
Contents
PART ONE: INTRODUCTION; PART TWO: EXPERIMENTAL DESIGN; PART THREE: CORRELATIONAL DESIGN; PART FOUR: NON-PARAMETRIC STATISTICS; PART FIVE: BEYOND THE BASICS
