Introduction to Research Methods and Data Analysis in Psychology

Introduction to Research Methods and Data Analysis in Psychology 2e presents quantitative and qualitative research methods and the most widely used techniques for collecting and analysing data. It provides clear and accessible coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data. This second edition has been thoroughly revised and updated to include a number of new chapters and additional topics such as e-research, mixed methods, and R (a statistical software package). Detailed information is provided on experimental design and statistical analysis by hand and using SPSS v. 16.0. Expanded coverage of a range of areas including literature reviewing, the statistical techniques of ANOVA and MANOVA, and psychometrics is also provided. The text assumes that the reader has no previous knowledge of research methods or psychology and is therefore essential reading for undergraduate psychology students plus highly recommended for students on other social and health science courses.

ISBN 0131982036   Pages 592 ISBN13 9780131982031 (What's this?)   Weight (grammes) 1144 Publisher Pearson Education (US)   Published in Upper Saddle River Imprint Prentice Hall   Previous ISBN 9780130978325 Format Paperback   Height (mm) 246 Publication date 26 Mar 2009   Width (mm) 189 DEWEY 150.72   Academic level Undergraduate DEWEY edition DC22

		List of figures
Pt. 1		Introducing research methods
1		Starting out in research
2		Variables: definitions and measurement
3		Reliability, validity, sampling and groups
4		Collecting data 1: Interviews and observation
5		Collecting data 2: Questionnaires and psychometric tests
6		Collecting data 3: Experimental and quasi-experimental designs
7		E-research
Pt. 2		Analysing quantitative data
8		Fundamentals of statistics
9		Entering and manipulating data
10		Graphical representation and descriptive statistics
11		Bivariate analysis 1: exploring differences between variables
12		Bivariate analysis 2: exploring relationships between variables
13		Analysis of variance (ANOVA)
14		Multivariate analysis of variance (MANOVA)
15		Regression
16		Introducing R and R commander
Pt. 3		Analysing qualitative data
17		Fundamentals of qualitative research
18		Transcribing, coding and organising textual data
19		Phenomenological research methods
20		Grounded theory
21		Discourse analysis
22		Life story and narrative research
		More...

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