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Research Methods in Psychology

Research Methods in Psychology

Dennis Howitt | Duncan Cramer

(2016)

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Book Details

Abstract

Comprehensive, clear, and practical, Introduction to Research Methods in Psychology, fifth edition is the essential student guide to understanding and undertaking quantitative and qualitative research in psychology.

In this popular text for psychology students, the research process is broken down into manageable steps to equip students with the skills to ask intelligent research questions, carry out a literature review, choose an appropriate research design, carry out data collection and write up their findings. Throughout the book, research examples are discussed which offer an insight into how research advances our understanding in areas such as forensic, social, educational, and abnormal psychology.

 

Revised throughout, this new edition includes a new chapter on ‘Data Analysis Issues and Scientific Progress' which explores complexities in research, discussing issues such as questionable research practices and replication studies.  A further new chapter, ‘Improving a Qualitative Write Up’ provides advice and guidance on how to write-up a qualitative study with a detailed illustrative example of this.

 

This is the ideal guide for students just beginning and those moving on to more advanced research methods projects in psychology.

 


Table of Contents

Section Title Page Action Price
Cover\r Cover
Brief Contents\r v
Contents\r vii
Guide tour \r xvii
Introduction\r xix
Acknowledgements\r xxi
Part 1 Basics of research 1
1 Role of research in psychology 3
Overview 3
1.1 Introduction 4
1.2 Reading 5
1.3 Evaluating the evidence 7
1.4 Inferring causality 8
1.5 Types of research and the assessment of causality 11
1.6 Practice 22
1.7 Conclusion 25
Key points 25
Activities 26
2 Aims and hypotheses in research 27
Overview 27
2.1 Introduction 28
2.2 Types of study 29
2.3 Aims of research 31
2.4 Research hypotheses 32
2.5 Four types of hypothesis 34
2.6 Difficulties in formulating aims and hypotheses 38
2.7 Conclusion 43
Key points 43
Activities 44
3 Variables, concepts and measures 45
Overview 45
3.1 Introduction 46
3.2 History of the variable in psychology 47
3.3 Types of variable 48
3.4 Independent and dependent variables 50
3.5 Measurement characteristics of variables 50
3.6 Stevens’ theory of scales of measurement 53
3.7 Operationalising concepts and variables 58
3.8 Conclusion 61
Key points 62
Activities 62
4 Problems of generalisation and decision-making in research: Chance findings and sample size 63
Overview 63
4.1 Introduction 64
4.2 Universalism 66
4.3 Sampling and generalisation 66
4.4 Statistics and generalisation 71
4.5 Directional and non-directional hypotheses again 73
4.6 More on the similarity between measures of effect (difference) and association 75
4.7 Sample size and size of association 78
4.8 Conclusion 83
Key points 84
Activities 84
5 Research reports: The total picture 85
Overview 85
5.1 Introduction 86
5.2 Overall strategy of report writing 88
5.3 Sections of the research report in detail 93
5.4 Conclusion 111
Key points 114
Activities 114
6 Improving a quantitative write-up 115
Overview 115
6.1 Introduction 116
6.2 Poorly written quantitative report 117
6.3 Analysis of the report 121
6.4 Improved version of the report 128
6.5 Conclusion 134
Key points 135
Activities 135
7 Literature search 136
Overview 136
7.1 Introduction 137
7.2 Library classification systems 143
7.3 Electronic databases 146
7.4 Obtaining articles not in your library 154
7.5 Personal bibliographic database software 157
7.6 Conclusion 160
Key points 161
Activities 161
8 Ethics and data management in research 162
Overview 162
8.1 Introduction 163
8.2 Ethics: general principles 165
8.3 Research ethics 167
8.4 Ethics and publication 174
8.5 Obtaining the participant’s consent 175
8.6 Data management 177
8.7 Conclusion 179
Key points 180
Activities 181
Part 2 Quantitative research methods 183
9 Basic laboratory experiments 185
Overview 185
9.1 Introduction 186
9.2 Characteristics of the true or randomised experiment 189
9.3 More advanced research designs 197
9.4 Conclusion 211
Key points 212
Activity 212
10 Advanced experimental designs 213
Overview 213
10.1 Introduction 214
10.2 Multiple levels of the independent variable 215
10.3 Multiple dependent variables 220
10.4 Factorial designs 220
10.5 Psychology and social psychology of the laboratory experiment 225
10.6 Conclusion 232
Key points 232
Activities 233
11 Cross-sectional or correlational research: Non-manipulation studies 234
Overview 234
11.1 Introduction 235
11.2 Cross-sectional designs 237
11.3 Case for non-manipulation studies 238
11.4 Key concepts in the analysis of cross-sectional studies 240
11.5 Conclusion 248
Key points 249
Activities 249
12 Longitudinal studies 250
Overview 250
12.1 Introduction 251
12.2 Panel designs 253
12.3 Different types of third variable 255
12.4 Analysis of non-experimental designs 258
12.5 Conclusion 264
Key points 264
Activities 264
13 Sampling and population surveys 265
Overview 265
13.1 Introduction 266
13.2 Types of probability sampling 266
13.3 Non-probability sampling 269
13.4 National surveys 272
13.5 Socio-demographic characteristics of samples 275
13.6 Sample size and population surveys 276
13.7 Conclusion 282
Key points 282
Activities 282
14 Data analysis issues and scientific progress 283
Overview 283
14.1 Introduction 284
14.2 Confidence intervals 287
14.3 Effect sizes 290
14.4 Power 291
14.5 Replication 296
14.6 Questionable research practices and truth inflation 298
14.7 Conclusion 302
Key points 305
Activities 305
Part 3 Fundamentals of testing and measurement 307
15 Psychological tests: Their use and construction 309
Overview 309
15.1 Introduction 310
15.2 Concept of a scale 311
15.3 Scale construction 313
15.4 Item analysis or factor analysis? 323
15.5 Other considerations in test construction 325
15.6 Conclusion 327
Key points 328
Activities 328
16 Reliability and validity: Evaluating the value of tests and measures 329
Overview 329
16.1 Introduction 330
16.2 Reliability of measures 332
16.3 Validity 335
16.4 Types of validity 336
16.5 Conclusion 344
Key points 345
Activity 345
17 Coding data 346
Overview 346
17.1 Introduction 347
17.2 Types of coding 348
17.3 Reliability and validity 353
17.4 Qualitative coding 354
17.5 Conclusion 357
Key points 358
Activities 358
Part 4 Qualitative research methods 359
18 Why qualitative research? 361
Overview 361
18.1 Introduction 362
18.2 What is qualitative research? 363
18.3 History of the qualitative/quantitative divide in psychology 366
18.4 Quantification–qualitative methods continuum 369
18.5 Evaluation of qualitative versus quantitative methods 371
18.6 Conclusion 373
Key points 373
Activity 373
19 Qualitative data collection 374
Overview 374
19.1 Introduction 375
19.2 Major qualitative data collection approaches 376
19.3 Conclusion 385
Key points 386
Activities 386
20 Transcribing language data: Jefferson system 387
Overview 387
20.1 Introduction 388
20.2 Jefferson transcription 389
20.3 Advice for transcribers 394
20.4 Conclusion 395
Key points 395
Activities 395
21 Thematic analysis 396
Overview 396
21.1 Introduction 397
21.2 What is thematic analysis? 399
21.3 Basic approach to thematic analysis 400
21.4 More sophisticated version of thematic analysis 403
21.5 Conclusion 410
Key points 410
Activity 410
22 Grounded theory 411
Overview 411
22.1 Introduction 412
22.2 Development of grounded theory 414
22.3 Data in grounded theory 415
22.4 How to do grounded theory analysis 416
22.5 Computer grounded theory analysis 420
22.6 Evaluation of grounded theory 424
22.7 Conclusion 426
Key points 427
Activity 427
23 Discourse analysis 428
Overview 428
23.1 Introduction 429
23.2 Important characteristics of discourse 431
23.3 The agenda of discourse analysis 433
23.4 Doing discourse analysis 435
23.5 Conclusion 439
Key points 440
Activities 440
24 Conversation analysis 441
Overview 441
24.1 Introduction 442
24.2 Precepts of conversation analysis 445
24.3 Stages in conversation analysis 446
24.4 Conclusion 451
Key points 452
Activities 452
25 Interpretative phenomenological analysis 453
Overview 453
25.1 Introduction 454
25.2 Philosophical foundations of interpretative phenomenological analysis 455
25.3 Stages in interpretative phenomenological analysis 462
25.4 Conclusion 469
Key points 469
Activities 470
26 Evaluating qualitative research 471
Overview 471
26.1 Introduction 472
26.2 Evaluating qualitative research 474
26.3 Validity 476
26.4 Criteria for novices 479
26.5 Conclusion 480
Key points 481
Activities 481
27 Improving a qualitative write-up 482
Overview 482
27.1 Introduction 483
27.2 Poorly written qualitative report 488
27.3 Critical evaluation 494
Key points 499
Activities 500
Part 5 Research for projects, dissertations and theses 501
28 Developing ideas for research 503
Overview 503
28.1 Introduction 504
28.2 Why not a replication study? 506
28.3 Choosing a research topic 511
28.4 Sources of research ideas 512
28.5 Conclusion 520
Key points 521
Activity 522
Glossary 523
References 530
Index 541