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Research Methods and Statistics in Psychology 2nd Revised edition [Hardback]

3.64/5 (11 ratings by Goodreads)
  • Formāts: Hardback, 544 pages, height x width: 232x186 mm, weight: 1100 g
  • Sērija : Sage Foundations of Psychology Series
  • Izdošanas datums: 13-Feb-2014
  • Izdevniecība: Sage Publications Ltd
  • ISBN-10: 1446255964
  • ISBN-13: 9781446255964
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 544 pages, height x width: 232x186 mm, weight: 1100 g
  • Sērija : Sage Foundations of Psychology Series
  • Izdošanas datums: 13-Feb-2014
  • Izdevniecība: Sage Publications Ltd
  • ISBN-10: 1446255964
  • ISBN-13: 9781446255964
Citas grāmatas par šo tēmu:

This guide to the process of conducting psychological research from the ground up covers multiple methodologies, experimental and survey design, data analysis, ethics and report writing. 

The second 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 second edition offers:

  • 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 SPSS
  • Extended coverage of qualitative methods
  • ‘Research Bites’ in every chapter: thought-provoking examples of issues raised by contemporary society and research
  • An extensive range of additional learning aids in the textbook to help reinforce learning and revision
  • A host of on-line resources for instructors and students available on publication atwww.sagepub.co.uk/haslamandmcgarty2e.

Electronic inspection copies are available for instructors.

Recenzijas

Haslam and McGarty go the extra mile in this unique and excellent title, covering both quantitative and qualitative methods. The text does a superb job of justifying the necessity for research methods and statistics, before gradually building to comprehensively cover more complex material. Analyses are dealt with in an easy to comprehend, engaging and lively manner. A must have title for those studying and teaching research methods and statistics. -- Dr. Russell Hutter Balanced, engaging, suitable for beginners.  This textbook makes research methods interesting and relevant -- a must read for students who are terrified of research. -- Dr. Emee Vida Estacio

Preface xii
The Authors xiv
Key Features of this Book xvi
1 Introduction
1(11)
`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(1)
2 Research in Psychology: Objectives and Ideals
12(22)
What is psychological research and why do it?
12(4)
How does psychological research progress?
16(5)
Principles of good research
21(5)
Some notes of caution
26(2)
Further reading
28(1)
Objectives and ideals: A checklist for research evaluation and improvement
29(3)
Discussion/essay questions
32(1)
Exercises
33(1)
3 Research Methods
34(31)
Psychological measurement
34(9)
The experimental method
43(8)
The quasi-experimental method
51(2)
The survey method
53(3)
The case-study method
56(3)
Overview
59(1)
Further reading
60(1)
Research methods: A checklist for research evaluation and improvement
61(3)
Discussion/essay questions
64(1)
Exercises
64(1)
4 Experimental Design
65(33)
Choosing an independent variable
66(4)
Choosing a dependent variable
70(3)
Choosing an experimental sample
73(4)
Threats to internal validity
77(9)
Threats to external validity
86(5)
Further reading
91(1)
Experimental design: A checklist for research evaluation and improvement
92(4)
Discussion/essay questions
96(1)
Exercise
97(1)
5 Survey Design
98(29)
The differences between surveys and experiments
99(4)
Setting the question
103(1)
Finding a sample
104(5)
Types of survey
109(6)
Constructing a questionnaire
115(3)
Conducting research online
118(2)
Overview: Designing a survey
120(2)
Further reading
122(1)
Survey design: A checklist for research evaluation and improvement
123(2)
Discussion/essay questions
125(1)
Exercises
125(2)
6 Descriptive Statistics
127(37)
Different forms of research data
128(3)
Describing a typical score: Measures of central tendency
131(11)
The relationship between measures of central tendency and a response distribution
142(2)
Describing the spread of scores: Measures of dispersion
144(5)
Observed distributions and theoretical distributions: The difference between samples and populations
149(11)
Further reading
160(1)
Descriptive statistics: A checklist for research evaluation and improvement
160(2)
Discussion/essay questions
162(1)
Exercises
163(1)
7 Some Principles of Statistical Inference
164(30)
Statistical inference
166(7)
Inferences about individual scores
173(4)
Inferences about means
177(10)
Overview
187(2)
Further reading
189(1)
Statistical inference: A checklist for research evaluation and improvement
189(3)
Discussion/essay questions
192(1)
Exercises
193(1)
8 Examining Differences between Means: The t-test
194(50)
Student's t-distribution
195(4)
Comparing the results for a single sample with a specific value
199(5)
Within-subjects t-tests
204(3)
Between-subjects t-tests
207(6)
The controversy about what to do with t-values
213(2)
Handling the results of t-tests: The hypothesis-testing approach
215(9)
Other ways of handling the results of t-tests: Probability-level, confidence-interval and effect-size approaches
224(7)
Some notes of caution
231(6)
Overview
237(1)
Further reading
238(1)
t-tests: A checklist for research evaluation and improvement
238(4)
Discussion/essay questions
242(1)
Exercises
242(2)
9 Examining Relationships between Variables: Correlation
244(29)
Some basic principles of correlation
246(3)
The measurement of correlation
249(5)
Interpreting and making inferences about correlations
254(3)
Some notes of caution
257(8)
Conclusion
265(2)
Further reading
267(1)
Correlations: A checklist for research evaluation and improvement
267(3)
Discussion/essay questions
270(1)
Exercises
270(3)
10 Comparing Two or More Means by Analysing Variances: ANOVA
273(44)
Analysing variances
274(3)
Comparing multiple means using one-way analysis of variance
277(8)
Another way to explain analysis of variance: Sums of squares and mean squares
285(4)
How big does a difference need to be? Significance testing and effect sizes
289(4)
What does analysis of variance buy us? Some notes on comparing individual means
293(1)
Using F-ratios with and without comparisons planned in advance
294(4)
An introduction to analysis of variance with two independent variables
298(13)
A final word
311(1)
Further reading
312(1)
ANOVA: A checklist for research evaluation and improvement
313(2)
Discussion/essay questions
315(1)
Exercises
316(1)
11 Analysing Other Forms of Data: Chi-square and Distribution-free Tests
317(36)
Dealing with a single categorical variable that has two levels: The binomial test
321(3)
Dealing with a single categorical variable that has more than two levels: The chi-square test of goodness of fit
324(4)
Examining the relationship between two categorical variables: The chi-square test of independence for 2 x 2 tables
328(6)
Distribution-free tests
334(2)
Examining differences between two groups with relaxed assumptions: The Mann-Whitney test
336(6)
Some options for other cases
342(3)
Overview and checklist
345(2)
Further reading
347(1)
Other forms of data: A checklist for research evaluation and improvement
348(3)
Discussion/essay questions
351(1)
Exercises
351(2)
12 Classical Qualitative Methods
353(38)
A classical critique of quantitative approaches
355(3)
Classical methods of collecting qualitative data
358(3)
Some general principles for collecting and analysing qualitative data
361(3)
Examples of classical qualitative research methods
364(21)
Critiques of classical qualitative methods
385(2)
Further reading
387(1)
Classical qualitative methods: A checklist for research evaluation and improvement
387(2)
Discussion/essay questions
389(1)
Exercises
390(1)
13 Contextual Qualitative Methods
391(33)
A contextual critique of quantitative approaches
392(5)
Examples of contextual qualitative research methods
397(18)
Critiques of contextual qualitative methods
415(1)
Conclusion: The challenge of contextual qualitative methods
416(2)
Further reading
418(1)
Contextual qualitative methods: A checklist for research evaluation and improvement
419(2)
Discussion/essay questions
421(1)
Exercises
421(3)
14 Research Ethics
424(23)
Science and society
424(4)
Ethical values
428(2)
Ethical risks associated with participation in research
430(9)
Research with animals
439(3)
Final comment
442(1)
Further reading
442(1)
Research ethics: A checklist for research evaluation and improvement
443(3)
Discussion/essay questions
446(1)
15 Conclusion: Managing Uncertainty in Psychological Research
447(12)
`Where has all this got us?
447(1)
Managing uncertainty in psychological research
448(8)
Final comment
456(1)
Further reading
457(1)
Discussion/essay questions
458(1)
Appendix A Writing Research Reports in Psychology
459(21)
Overview
459(1)
Basic structure
459(2)
The sections in detail
461(7)
General stylistic issues
468(1)
Presentational issues
469(4)
Referencing
473(1)
Further reading
474(1)
Sample psychology research report
474(6)
Appendix B Areas under the Standard Normal Curve
480(4)
Appendix C Answers to Exercises
484(22)
References 506(9)
Author Index 515(4)
Subject Index 519
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).