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Research Methods and Statistics in Psychology 3rd Revised edition [Hardback]

3.64/5 (11 ratings by Goodreads)
(Western Sydney University, Australia), (The University of Queensland, Australia)
  • Formāts: Hardback, 584 pages, height x width: 232x186 mm, weight: 1180 g
  • Izdošanas datums: 10-Nov-2018
  • Izdevniecība: Sage Publications Ltd
  • ISBN-10: 1526423286
  • ISBN-13: 9781526423283
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 584 pages, height x width: 232x186 mm, weight: 1180 g
  • Izdošanas datums: 10-Nov-2018
  • Izdevniecība: Sage Publications Ltd
  • ISBN-10: 1526423286
  • ISBN-13: 9781526423283
Citas grāmatas par šo tēmu:
A comprehensive introduction to both quantitative and qualitative research methodologies in Psychology, the book guides readers through every step of the research process, and comes with helpful online resources and videos. 

The third edition of Haslam and McGarty's best-selling textbook, Research Methods and Statistics in Psychology, provides students with a highly readable and comprehensive introduction to conducting research in psychology. The book guides readers through the range of choices involved in design, analysis, and presentation and is supplemented by a range of practical learning features both inside the book and online. These draw on the authors' extensive experience as frontline researchers and provide step-by-step guides to quantitative and qualitative methods and analyses. Written in an accessible and engaging style, this text encourages deep engagement with its subject matter and is designed to inspire students to feel passionate for the research process as a whole.

This third edition offers:

  • Updated ‘Research Bites’ in every chapter: a space to step back from the text and reflect on the ways in which it relates both to issues in the world at large and to contemporary debates in psychology
  • Updated coverage of experimental design, survey research and ethics
  • More expansive coverage of qualitative methods
  • A comprehensive guide to the process of conducting psychological research from the ground up — covering multiple methodologies, experimental and survey design, data analysis, ethics, and report writing
  • An extensive range of quantitative methods together with detailed step-by-step guides to running analyses using SPS
  • Online resources and videos to help reinforce learning and revision for instructors and students available at study.sagepub.com/haslamandmcgarty3e




Recenzijas

This book is a great companion for any psychology student; Clearly written, it offers extremely useful information for both qualitative and quantitative psychological research. I cannot think of a better go-to source before engaging in psychological research. -- Tamara Rakic A much-needed fully comprehensive text that breaks down the stages undertaken when conducting research in psychology. The in-book text provides guidance covering the fundamentals of good research design situated within and aligned to the field of psychology. The expansive out-of-book online support materials make this a must-have textbook for psychology students doing researching. 

 





  -- Gary McKenna I think that the glossary is super helpful for clarifying certain words, and the exercises are a great way to actually help retain any knowledge learnt, the checklist is a bonus as well, just helps double checking that you know youve learnt what you need to. Also, the discussion and essay questions are a great way to practice for an exam on these subjects. Overall that whole part is really, really good, much better than just throwing the information at you and hoping that you remember it just from reading because no one I know learns by just reading. I will definitely get my library at the university to order in a few copies. -- Student at the University of the West of Scotland Overall, a very complete book for the undergraduate learner and one that will serve as a reference through to postgraduate studies and further pursuits in psychology and social science research. The retention of the previous structure that includes side activities such as goals, checklists, research bites, and exercises, etc is a very welcomed one. Im glad to see the new edition include more recent and very relevant debates on research and statistics (e.g. big and open data, questionable research practice, default alpha levels, data saturation), especially on conversations to do with effect size (Chapter 6 and Chapter 10), as well as with the inclusion of the R software package in the statistical discussions. Makes me wanna be a student again! -- Assoc. Prof. Dr Alvin Ng Lai Oon This excellent research method book is a clear and easy to read, I was a fan of the previous edition and it looks like I will continue with this edition. This third version has updated research bites and exercises which I have found useful to direct students to do and have done myself. -- Suzanne Everett There are many methods/statistics books on the market, yet Haslam and McGarty set themselves apart by immersing the reader within the practical and applied aspects of research. All too often students feel their methods classes are divorced from real-world research; the Research Bites used throughout the book situate learning within the wider context of psychological science. -- Garry Norris This book is an essential resource for anyone interested in psychological research methods. The book is informative and detailed but also readable and easy to follow. The examples and resources that come with the book enable a deeper understanding of this essential topic, a must read.  -- Dr. James Byron Dnaiel The authors managed to write a textbook that provides an easily accessible introduction into the matter, focuses on the bigger picture, and is one of the few books that are highly suitable for self-study, especially due to the great wealth of worked examples. -- Ronny Scherer

Preface to the Second Edition xiii
Preface to the Third Edition xv
The Authors xvii
Endorsements for the book xix
Key Features of this Book xx
1 Introduction
1(12)
`Why do I have to do this?'
1(3)
The structure of this book and an overview of the chapters
4(4)
How to use this book
8(3)
Discussion/essay questions
11(2)
2 Research in Psychology: Objectives and Ideals
13(20)
What is psychological research and why do it?
13(3)
How does psychological research progress?
16(6)
Principles of good research
22(7)
Some notes of caution
29(3)
Further reading
32(1)
Objective and ideals: A checklist for research evaluation and improvement
33(5)
Discussion/essay questions
38(1)
Exercises
38(1)
3 Research Methods
38(1)
Psychological measurement
39(9)
The experimental method
48(8)
The quasi-experimental method
56(2)
The survey method
58(3)
The case study method
61(3)
Overview
64(2)
Further reading
66(1)
Research methods: A checklist for research evaluation and improvement
66(4)
Discussion/essay questions
70(1)
Exercises
70(1)
4 Experimental Design
71(35)
Choosing an independent variable
72(4)
Choosing a dependent variable
76(3)
Choosing an experimental sample
79(4)
Threats to internal validity
83(9)
Threats to external validity
92(6)
Further reading
98(1)
Experimental design: A checklist for research evaluation and improvement
98(5)
Discussion/essay questions
103(1)
Exercise
104(2)
5 Survey Design
The differences between surveys and experiments
106(4)
Setting the question
110(1)
Finding a sample
111(5)
Types of survey
116(7)
Constructing a questionnaire
123(3)
Conducting research online
126(2)
Overview: Designing a survey
128(2)
Further reading
130(1)
Survey design: A checklist for research evaluation and improvement
131(3)
Discussion/essay questions
134(1)
Exercise
134(1)
Descriptive Statistics
135(1)
Different forms of research data
136(3)
Describing a typical score: Measures of central tendency
139(13)
The relationship between measures of central tendency and a response distribution
152(3)
Describing the spread of scores: Measures of dispersion
155(5)
Observed distributions and theoretical distributions: The difference between samples and populations
160(10)
Describing the differences between samples: Introducing effect sizes
170(2)
Further reading
172(1)
Descriptive statistics: A checklist for research evaluation and improvement
173(2)
Discussion/essay questions
175(1)
Exercises
175(4)
"I Some Principles of Statistical Inference
179(3)
Statistical inference
182(6)
Inferences about individual scores
188(4)
Inferences about means
192(10)
Overview
202(2)
Further reading
204(1)
Statistical inference: A checklist for research evaluation and improvement
205(3)
Discussion/essay questions
208(1)
Exercises
208(3)
8 Examining Differences between Means: The t-test
211(54)
Student's t-distribution
212(4)
Comparing the results for a single sample with a specific value
216(6)
Within-subjects t-tests
222(3)
Between-subjects t-tests
225(7)
The controversy about what to do with t-values
232(2)
Handling the results of t-tests: The hypothesis-testing approach
234(10)
Other ways of handling the results of t-tests: Probability-level, confidence-interval and effect-size approaches
244(7)
Some notes of caution
251(6)
Overview
257(1)
Further reading
258(1)
t-tests: A checklist for research evaluation and improvement
258(4)
Discussion/essay questions
262(1)
Exercises
263(2)
9 Examining Relationships between Variables: Correlation
265(30)
Some basic principles of correlation
267(3)
The measurement of correlation
270(5)
Interpreting and making inferences about correlations
275(4)
Some notes of caution
279(8)
Conclusion
287(1)
Further reading
288(1)
Correlations: A checklist for research evaluation and improvement
289(2)
Discussion/essay questions
291(1)
Exercises
292(3)
10 Comparing Two or More Means by Analysing Variances: ANOVA
295(48)
Analysing variances
296(3)
Comparing multiple means using one-way analysis of variance
299(8)
Another way to explain analysis of variance: Sums of squares and mean squares
307(5)
How big does a difference need to be? Significance testing and effect sizes
312(3)
What does analysis of variance buy us? Some notes on comparing individual means
315(2)
Using F-ratios with and without comparisons planned in advance
317(3)
An introduction to analysis of variance with two independent variables
320(16)
A final word
336(1)
Further reading
337(1)
ANOVA: A checklist for research evaluation and improvement
337(3)
Discussion/essay questions
340(1)
Exercises
341(2)
11 Analysing Other Forms of Data: Chi-square and Distribution-tree Tests
343(38)
Dealing with a single categorical variable that has two levels: The binomial test
347(4)
Dealing with a single categorical variable that has more than two levels: The chi-square test of goodness of fit
351(3)
Examining the relationship between two categorical variables: The chi-square test of independence for 2 × 2 tables
354(7)
Distribution-free tests
361(2)
Examining differences between two groups with relaxed assumptions: The Mann-Whitney test
363(7)
Some options for other cases
370(2)
Overview and checklist
372(3)
Further reading
375(1)
Other forms of data: A checklist for research evaluation and improvement
376(3)
Discussion/essay questions
379(1)
Exercises
379(2)
12 Classical Qualitative Methods
381(40)
A classical critique of quantitative approaches
383(4)
Classical methods of collecting qualitative data
387(2)
Some general principles for collecting and analysing qualitative data
389(2)
Examples of classical qualitative research methods
391(22)
Critiques of classical qualitative methods
413(2)
Further reading
415(1)
Classical qualitative methods: A checklist for research evaluation and improvement
416(2)
Discussion/essay questions
418(1)
Exercises
419(2)
13 Contextual Qualitative Methods
421(34)
A contextual critique of quantitative approaches
422(5)
Examples of contextual qualitative research methods
427(18)
Critiques of contextual qualitative methods
445(2)
Conclusion: The challenge of contextual qualitative methods
447(2)
Further reading
449(1)
Contextual qualitative methods: A checklist for research evaluation and improvement
449(3)
Discussion/essay questions
452(1)
Exercises
452(3)
14 Research Ethics
455(24)
Science and society
455(4)
Ethical values
459(2)
Ethical risks associated with participation in research
461(9)
Research with animals
470(2)
Final comment
472(2)
Further reading
474(1)
Research ethics: A checklist for research evaluation and improvement
474(4)
Discussion/essay questions
478(1)
15 Conclusion! Managing Uncertainty in Psychological Research
479(12)
`Where has all this got us?'
479(1)
Managing uncertainty in psychological research
480(8)
Final comment
488(1)
Further reading
489(1)
Discussion/essay questions
490(1)
Appendix A Writing Research Reports in Psychology
491(22)
Overview
491(1)
Basic structure
491(2)
The sections in detail
493(7)
General stylistic issues
500(2)
Presentational issues
502(3)
Numbers in the text
505(1)
Referencing
505(2)
Further reading
507(1)
Sample psychology research report
507(6)
Appendix B Areas under the Standard Normal Curve
513(4)
Appendix C Answers to Exercises
517(22)
References 539(10)
Author Index 549(4)
Subject Index 553
S Alexander Haslam (Alex Haslam) is Professor of Psychology and Australian Laureate Fellow at the University of Queensland. Together with colleagues, he has written and edited 15 books and over 300 research articles and chapters. His most recent books are The New Psychology of Leadership: Identity, Influence and Power (with Steve Reicher and Michael Platow, 2nd ed. 2020) and Social Psychology: Revisiting the Classic Studies (edited with Joanne Smith, 2nd ed. 2017). He is former Chief Editor of the European Journal of Social Psychology and former President of the Psychology Section of the British Science Association. He is a recipient of the European Association of Social Psychologys Kurt Lewin Medal for research excellence, and the International Society of Political Psychologys Nevitt Sanford Award for contributions to political psychology. He has also received awards for distinguished contributions to psychological science from both the British Psychology Society and the Australian Psychology Society. In 2022 he was appointed a Member of the Order of Australia for significant service to higher education, particularly psychology, through research and mentoring. Craig McGarty is Professor of Psychology at Western Sydney University. He received his undergraduate training in psychology at the University of Adelaide and his PhD from Macquarie University in 1991 (where he was a tutor from 1985 until 1989). He spent 1990 as a lecturer in social psychology/social interaction at the University of Western Sydney and moved in 1991 to the Australian National University as a research associate. He was Reader and Head of the School of Psychology before moving to Murdoch University in Western Australia as the Director of the Centre for Social and Community Research and then Director of the Social Research Institute. He has worked on a wide range of topics in experimental social psychology, and his current research includes a social audit of the aspirations and solutions of a remote Indigenous community and studies of the reconciliation process in post-genocide Rwanda. His books include Stereotypes as Explanations (with Vincent Yzerbyt and Russell Spears, 2002) and Categorization and Social Psychology (1999).