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

3.64/5 (11 ratings by Goodreads)
  • Formāts: Hardback, 520 pages, height x width: 242x170 mm, Illustrations
  • Sērija : Sage Foundations of Psychology Series
  • Izdošanas datums: 09-Dec-2003
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 0761942920
  • ISBN-13: 9780761942924
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 520 pages, height x width: 242x170 mm, Illustrations
  • Sērija : Sage Foundations of Psychology Series
  • Izdošanas datums: 09-Dec-2003
  • Izdevniecība: SAGE Publications Inc
  • ISBN-10: 0761942920
  • ISBN-13: 9780761942924
Citas grāmatas par šo tēmu:
'The strength of this book is in the determined approach it takes to helping the reader learn the subject matter by the inclusion of explanations of key terms and exercises. If coupled with tutorial support, this will encourage students to work harder at the subject matter - always a challenge in what many students perceive as the least accessible and interesting part of psychology. It is well worth considering as a core methods text for undergraduates or for masters students new to psychology'- John Hegarty, "Times Higher Educational Supplement", Textbook Guide."Research Methods and Statistics in Psychology" is an accessible introduction to the principal research methods and statistical procedures that underpin psychological research. With a broad range of support materials and features it is the ideal textbook to accompany both a first and second year course. This book features an accompanying website - an interactive resource for both teachers and students including powerpoint slides of lecture notes, self-test multiple choice questions and answers for students as well as other on-line features.It includes coverage of the full research process in psychology from the ground up, addressing issues to do with research goals, problem definition and hypothesis, methodological choices and strategy and ethical controversies. It provides complete coverage of the key quantitative and qualitative methods now recognised in psychology. It also features a host of textbook which features including checklists of research evaluation and improvement, discussion questions and exercises; and annotated further reading at the end of every chapter. It includes appendices in the back of the textbook in conjunction with the accompanying website.It is a step-by-step guide to performing key statistical tests and a guide to writing up experiments and reports in psychology. "Research Methods and Statistics in Psychology" is a comprehensive and student-friendly introductory textbook that deals with psychological research issues in depth, but which places an emphasis on the conceptual and practical skills necessary to become a good researcher.

Recenzijas

'The strength of this book is in the determined approach it takes to helping the reader learn the subject matter by the inclusion of explanations of key terms and exercises. If coupled with tutorial support, this will encourage students to work harder at the subject matter - always a challenge in what many students perceive as the least accessible and interesting part of psychology. It is well worth considering as a core methods text for undergraduates or for masters students new to psychology' - John Hegarty, THES 'The book is a textbook and, I would argue , a good textbook with all the things a textbook should have (sample questions, formative tests, glossary boxes, checklists)...Chapters in this book have to be absorbed whole and learned from (or possibly taught from). I would highly recommend this book on that basis' Colin Sinclair Psychology: Learning & Teaching

Preface to the First Edition (Doing Psychology) xi
Preface xiv
The Authors xvi
1 Introduction
1(11)
'Why do I have to do this?'
1(2)
The structure of this book and an overview of the chapters
3(5)
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(3)
How does psychological research progress?
15(5)
Principles of good research
20(6)
Some notes of caution
26(1)
Further reading
27(1)
Objectives and ideals: A checklist for research evaluation and improvement
27(5)
Discussion/essay questions
32(1)
Exercises
32(2)
3 Research Methods
Psychological measurement
34(9)
The experimental method
43(8)
The quasi-experimental method
51(3)
The survey method
54(3)
The case-study method
57(3)
Overview
60(2)
Further reading
62(1)
Research methods: A checklist for research evaluation and improvement
62(3)
Discussion/essay questions
65(1)
Exercises
66(1)
4 Experimental Design
67(35)
Choosing an independent variable
68(4)
Choosing a dependent variable
72(3)
Choosing an experimental sample
75(5)
Threats to internal validity
80(9)
Threats to external validity
89(6)
Further reading
95(1)
Experimental design: A checklist for research evaluation and improvement
95(6)
Discussion/essay questions
101(1)
Exercise
101(1)
5 Survey Design
102(28)
The differences between surveys and experiments
102(5)
Setting the question
107(1)
Finding a sample
108(5)
Types of survey
113(7)
Constructing a questionnaire
120(3)
Overview: Designing a survey
123(2)
Further reading
125(1)
Survey design: A checklist for research evaluation and improvement
125(4)
Discussion/essay questions
129(1)
Exercises
129(1)
6 Descriptive Statistics
130(36)
Different forms of research data
131(3)
Describing a typical score: Measures of central tendency
134(7)
The relationship between measures of central tendency and a response distribution
141(3)
Describing the spread of scores: Measures of dispersion
144(8)
Observed distributions and theoretical distributions: The difference between samples and populations
152(10)
Further reading
162(1)
Descriptive statistics: A checklist for research evaluation and improvement
162(2)
Discussion/essay questions
164(1)
Exercises
165(1)
7 Some Principles of Statistical Inference
166(32)
Statistical inference
169(7)
Inferences about individual scores
176(4)
Inferences about means
180(10)
Overview
190(2)
Further reading
192(1)
Statistical inference: A checklist for research evaluation and improvement
193(3)
Discussion/essay questions
196(1)
Exercises
196(2)
8 Examining Differences between Means: The t-test
198(48)
Student's t-distribution
199(4)
Comparing the results for a single sample to a specific value
203(2)
Within-subjects t-tests
205(4)
Between-subjects t-tests
209(6)
The controversy about what to do with t-values
215(1)
Handling the results of t-tests: The hypothesis-testing approach
216(11)
Other ways of handling the results of t-tests: Probability-level, confidence-interval and effect-size approaches
227(7)
Some notes of caution
234(5)
Overview
239(1)
Further reading
239(1)
t-Tests: A checklist for research evaluation and improvement
240(4)
Discussion/essay questions
244(1)
Exercises
244(2)
9 Examining Relationships between Variables: Correlation
246(27)
Some basic principles of correlation
248(2)
The measurement of correlation
250(5)
Interpreting and making inferences about correlations
255(4)
Some notes of caution
259(7)
Conclusion
266(1)
Further reading
266(1)
Correlations: A checklist for research evaluation and improvement
267(3)
Discussion/essay questions
270(1)
Exercises
271(2)
10 Comparing Two or More Means by Analysing Variances: ANOVA 273(43)
Analysing variances
274(3)
Comparing multiple means using one-way analysis of variance
277(6)
Another way to explain analysis of variance: Sums of squares and mean squares
283(5)
How big does a difference need to be? Significance testing and effect sizes
288(4)
What does analysis of variance buy us? Some notes on comparing individual means
292(1)
Using F-ratios with and without comparisons planned in advance
293(3)
An introduction to analysis of variance with two independent variables
296(13)
A final word
309(1)
Further reading
310(1)
ANOVA: A checklist for research evaluation and improvement
310(4)
Discussion/essay questions
314(1)
Exercises
314(2)
11 Analysing other Forms of Data: Chi-square and Distribution-free Tests 316(37)
Dealing with a single categorical variable that has two levels: The binomial test
320(4)
Dealing with a single categorical variable that has more than two levels: The chi-square test of goodness of fit
324(3)
Examining the relationship between two categorical variables: The chi-square test of independence for 2 x 2 tables
327(8)
Distribution-free tests
335(2)
Examining differences between two groups with relaxed assumptions: The Mann-Whitney test
337(3)
Some options for other cases
340(3)
Overview and checklist
343(2)
Further reading
345(1)
Other forms of data: A checklist for research evaluation and improvement
346
Discussion/essay questions
344
Practical problems
319(34)
12 Qualitative Methods
Standard and radical critiques of quantitative approaches
353(8)
Methods of collecting qualitative data
361(3)
Some general principles for collecting and analysing qualitative data
364(4)
Examples of qualitative research methods
368(20)
Critiques of qualitative methods
388(4)
Conclusion: The importance of responding to the challenge
392(1)
Further reading
393(1)
Qualitative research: A checklist for research evaluation and improvement
393(3)
Discussion/essay questions
396(1)
Practical problems
396(2)
13 Research Ethics 398(22)
Science and society
398(5)
Participation in research
403(8)
Research with animals
411(3)
Final comment
414(1)
Further reading
414(1)
Research ethics: A checklist for research evaluation and improvement
414(5)
Discussion/essay questions
419(1)
14 Conclusion: Managing Uncertainty in Psychological Research 420(17)
'Where has all this got us?'
420(1)
Managing uncertainty in psychological research
420(9)
Final comment
429(1)
Further reading
430(1)
References
431(6)
Appendix A: Step-by-Step Guides to Key Statistical Tests 437(14)
A.1 Working out a within-subjects t-test using the hyphothesis-testing method
437(2)
A.2 Working out a between-subjects t-test using the hyphothesis-testing method
439(2)
A.3 Working out a correlation using both hypothesis-testing and effect-size methods
441(3)
A.4 Procedures for conducting one-way ANOVA with equal cell sizes
444(4)
A.5 Procedures for conducting two-way ANOVA with equal cell sizes
448(3)
Appendix B: Writing Research Reports in Psychology 451(26)
Overview
451(1)
Basic structure
451(2)
The sections in detail
453(8)
General stylistic issues
461(2)
Presentational issues
463(6)
Further reading
469(1)
Sample laboratory report
469(8)
Appendix C: Statistical Tables 477(18)
Areas under the standard normal curve
477(4)
Critical values of the t-distribution
481(2)
Critical values of Pearson's r
483(2)
Critical values of the F-distribution
485(7)
Critical values of the x2-distribution
492(3)
Appendix D: Answers to Exercises 495(16)
Author Index 511(3)
Subject Index 514
S. Alexander Haslam is a professor in the School of Psychology at the University of Queensland, Australia. Craig McGarty is a social psychologist whose main work is on intergroup relations especiallly social identity, collective action, group-based emotions and stereotype formation. He worked for 16 years at ANU where he was Head of the School of Psychology before moving to Murdoch University in 2007 to become Director of the Centre for Social and Community Research and then to become Director for the Social Research Institute. He moved back to Canberra in 2012 but continues to work 100% for Murdoch University.