Research methods in psychology: evaluating a world of information
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Norton
2015
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXXI, 604 S. Ill., graph. Darst. |
| ISBN: | 9780393936933 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Brief Contents
PART I: Introduction to Scientific Reasoning
chapter 1: Psychology Isa Way ofThinking 3
chapter 2: Sources of Information: Why Research Is Best and
How to Find It 23
chapter 3: Three Claims, Four Validities: Interrogation Tools
for Consumers of Research 55
PART II: Research Foundations for Any Claim
chapter 4: Ethical Guidelines for Psychology Research 89
chapter 5: Identifying Good Measurement 121
PART III: Tools for Evaluating Frequency Claims
chapter 6: Surveys and Observations: Describing What People Do
chapter 7: Sampling: Estimating the Frequency of Behaviors
and Beliefs 181
PART IV: Tools for Evaluating Association Claims
chapter 8: Bivariate Correlational Research 203
chapter 9: Multivariate Correlational Research 235
PART V: Tools for Evaluating Causal Claims
chapter 10: Introduction to Simple Experiments 271
chapter 11: More on Experiments: Confounding and
Obscuring Variables 307
chapter 12: Experiments with More Than One Independent Variable
PART VI: Balancing Research Priorities
chapter 13: Quasi-Experiments and Small-/V Designs 381
chapter 14: Replicability, Generalization, and the Real World 413
STATISTICS REVIEW: Descriptive Statistics 441
STATISTICS REVIEW: Inferential Statistics 463
PRESENTING RESULTS: APA-Style Reports and Conference
Posters 487
appendix A: Random Numbers and How to Use Them 527
APPENDIX B: Statistical Tables 533
Glossary 547
Answers to End-of-Chapter Questions
References 571
Credits 583
Name Index 587
Subject Index 591
Contents
Preface xi
Media and Print Resources for Instructors and Students xxi
PART I: Introduction to Scientific Reasoning
CHAPTER 1: Psychology Is a Way of Thinking 3
Research Producers, Research Consumers 4
Why the Producer Role Is Important 4
Why the Consumer Role Is Important 5
The Benefits of Being a Good Consumer 6
How Scientists Approach Their Work 8
Scientists Are Empiricists 8
Scientists Test Theories: The Theory-Data Cycle 9
Scientists Tackle Applied and Basic Problems 13
Scientists Dig Deeper 15
Scientists Make It Public: The Publication Process 15
Scientists Talk to the World: From Journal to Journalism 16
Summary 20
Key Terms 20
Review Questions 21
Learning Actively 21
CHAPTER 2: Sources of Information: Why Research
Is Best and How to Find It 23
The Research vs. Your Experience 24
Experience Has No Comparison Group 25
Experience Is Confounded 27
Research Is Better Than Experience 28
Research Is Probabilistic 29
The Research vs. Your Intuition 30
Intuition Is Biased by Faulty Thinking 30
Intuition Is Biased by Motivation 33
The Intuitive Thinker vs. the Scientific Reasoner 36
• V ‘ v. .V r WW
•; Y.v •.• TV
V; V :
■ ■ . ..
Mozart
Effect-
:
::k. ft:
Shmozart
Effect
■ i -.
■i.y,
(Intelligence, 2010)
Trusting Authorities on the Subject 36
Finding and Reading the Research 39
Consulting Scientific Sources 39
Finding Scientific Sources 42
Reading the Research 44
Finding Research in Less Scholarly Places 46
Summary 50
Key Terms 51
Review Questions 51
Learning Actively 52
whiff of
Rosemary
Gives Your
Brain a Boost
(Body Odd,
nbcncws.com, 2012)
CHAPTER 3: Three Claims, Four Validities: Interrogation Tools
for Consumers of Research 55
Variables 56
Measured and Manipulated Variables 56
From Conceptual Variable to Operational Definition 57
Three Claims 60
Frequency Claims 60
Association Claims 61
Causal Claims 64
Not All Claims Are Based on Research 65
Interrogating the Three Claims Using the Four Big Validities 66
Interrogating Frequency Claims 67
Interrogating Association Claims 68
Interrogating Causal Claims 72
Prioritizing Validities 77
Review: Four Validities, Four Aspects of Quality 78
Summary 82
Key Terms 83
Review Questions 83
Learning Actively 84
PART II: Research Foundations for Any Claim
CHAPTER 4: Ethical Guidelines for Psychology Research 89
Historical Examples 90
The Tuskegee Syphilis Study Illustrates Three Major Ethics Violations
The Milgram Obedience Studies Illustrate an Ethical Balance 92
Core Ethical Principles 95
The Belmont Report: Principles and Applications 95
Guidelines for Psychologists: The APA Ethical Principles 98
Five General Ethical Principles 98
Ten Specific Ethical Standards 99
Ethical Decision Making: A Thoughtful Balance 112
Summary 113
Key Terms 114
Review Questions 114
Learning Actively 115
Ethical Standard 8 of the American Psychological Association 116
CHAPTER 5: Identifying Good Measurement 121
Ways to Measure Variables 122
More About Conceptual and Operational Variables 122
Three Common Types of Measures 124
Scales of Measurement 126
Reliability of Measurement: Are the Scores Consistent? 129
Introducing Three Types of Reliability 129
Using a Scatterplot to Evaluate Reliability 130
Using the Correlation Coefficient r to Evaluate Reliability 132
Reading About Reliability in Journal Articles 135
Validity of Measurement: Does It Measure What It Is
Supposed to Measure? 136
Measurement Validity of Abstract Constructs 136
Face Validity and Content Validity: Does It Look Like a
Good Measure? 137
Criterion Validity: Does It Correlate with Key Behaviors? 139
Convergent Validity and Discriminant Validity: Does the
Pattern Make Sense? 143
The Relationship Between Reliability and Validity 146
Review: Interpreting Construct Validity Evidence 147
Interrogating a Measure of Religiosity 147
Interrogating Gallup’s Headline 150
Summary 151
Key Terms 152
Review Questions 152
Learning Actively 153
Happiness
Facts and
Fiction
(webmd.com)
PART III: Tools for Evaluating Frequency Claims
Should l buy
these boots?
They got four
and a half stars
on zappos.
CHAPTER 6: Surveys and Observations: Describing
What People Do 157
Construct Validity of Surveys and Polls 158
Choosing Question Formats 158
Writing Well-Worded Questions 160
Encouraging Accurate Responses 163
Construct Validity of Behavioral Observations 168
Examples of Claims Based on Observational Data 169
Observations Can Be Better Than Self-Reports 172
Summary 178
Key Terms 178
Review Questions 178
Learning Actively 17 9
CHAPTER 7: Sampling: Estimating the Frequency of
Behaviors and Beliefs 181
Generalizability: Does the Sample Represent the Population? 182
Populations and Samples 182
When Is a Sample Biased? 184
Obtaining a Representative Sample: Probability Sampling Techniques
Settling for an Unrepresentative Sample: Biased Sampling
Techniques 192
Interrogating External Validity: What Matters Most? 194
When a Representative Sample Is Not the Top Priority 194
Larger Samples Are Not More Representative 196
Summary 198
Key Terms 198
Review Questions 199
Learning Actively 199
PART IV: Tools for Evaluating
Association Claims
CHAPTER 8: Bivariate Correlational Research 203
Introducing Bivariate Correlations 204
Review: Describing Associations Between Two Quantitative Variables
Describing Associations with Categorical Data 208
Interrogating Association Claims 210
Construct Validity: How Well Was Each Variable Measured? 210
Statistical Validity: How Well Do the Data Support
the Conclusion? 210
Internal Validity: Can We Make a Causal Inference from
an Association? 221
External Validity: To Whom Can the Association Be Generalized? 226
Summary 231
Key Terms 231
Review Questions 232
Learning Actively 232
CHAPTER 9: Multivariate Correlational Research 235
Reviewing the Three Causal Criteria 236
Establishing Temporal Precedence with Longitudinal Designs 237
Interpreting Results from Longitudinal Designs 238
Longitudinal Studies and the Three Criteria for Causation 240
Why Not Just Do an Experiment? 241
Ruling Out Third Variables with Multiple-Regression Analyses 242
Measuring More Than Two Variables 242
Regression Results Indicate If a Third Variable Affects
the Relationship 245
Adding More Predictors to a Regression 249
Regression in Popular Press Articles 250
Regression Does Not Establish Causation 252
Getting at Causality with Pattern and Parsimony 254
The Power of Pattern and Parsimony 254
Pattern, Parsimony, and the Popular Press 256
Mediation 257
Mediators vs. Third Variables 258
Mediators vs. Moderators 259
Multivariate Designs and the Four Validities 261
Summary 263
Key Terms 264
Review Questions 264
Learning Actively 265
PART V: Tools for Evaluating Causal Claims
CHAPTER 10 Introduction to Simple Experiments 271
Two Examples of Simple Experiments 272
Example 1: Seeing Red 272
Example 2: Eating Pasta 274
Experimental Variables 275
Independent and Dependent Variables 275
Control Variables 276
Why Experiments Support Causal Claims 277
Experiments Establish Covariance 277
Experiments Establish Temporal Precedence 278
Well-Designed Experiments Establish Internal Validity 279
Independent-Groups Designs 284
Independent-Groups vs. Within-Groups Designs 284
Posttest-Only Design 285
Pretest/Posttest Design 286
Which Design Is Better? 287
Within-Groups Designs 288
Concurrent-Measures Design 288
Repeated-Measures Design 289
Advantages of Within-Groups Designs 289
Covariance, Temporal Precedence, and Internal Validity in
Within-Groups Designs 291
Disadvantages of Within-Groups Designs 293
Is Pretest/Posttest a Within-Groups Design? 294
Interrogating Causal Claims with the Four Validities 295
Construct Validity: How Well Were the Variables Measured
and Manipulated? 295
External Validity: To Whom or What Can the Causal Claim
Generalize? 298
Statistical Validity: How Well Do the Data Support the Causal Claim? 300
Internal Validity: Are There Alternative Explanations for
the Outcome? 302
Summary 303
Key Terms 304
Review Questions 304
Learning Actively 305
CHAPTER 11: More on Experiments: Confounding and
Obscuring Variables 307
Threats to Internal Validity: Did the Independent Variable Really
Cause the Difference? 308
The Really Bad Experiment (A Cautionary Tale) 308
Six Potential Internal Validity Threats in One-Group,
Pretest/Posttest Designs 310
Three Potential Internal Validity Threats in Any Experiment 318
With So Many Threats, Are Experiments Still Useful? 321
Interrogating Null Effects: What If the Independent Variable
Does Not Make a Difference? 323
Perhaps There Is Not Enough Between-Groups Difference 326
Perhaps Within-Groups Variability Obscured the Group Differences 329
Perhaps There Really Is No Difference 336
Null Effects Can Be Hard to Find 336
Summary 339
Key Terms 339
Review Questions 340
Learning Actively 341
CHAPTER 12: Experiments with More Than One
Independent Variable 343
Review: Experiments with One Independent Variable 343
Experiments with Two Independent Variables Can
Show Interactions 345
Intuitive Interactions 346
Factorial Designs Study Two Independent Variables 347
Factorial Designs Can Test Limits 348
Factorial Designs Can Test Theories 351
Interpreting Factorial Results: Main Effects and Interactions 353
Factorial Variations 362
Independent-Groups Factorial Designs 362
Within-Groups Factorial Designs 362
Mixed Factorial Designs 363
Increasing the Number of Levels of an Independent Variable 363
Increasing the Number of Independent Variables 365
Identifying Factorial Designs in Your Reading 370
Identifying Factorial Designs in Empirical Journal Articles 370
The Reason
Why You re an
Angry Drunk
(Men 5 Hiedlthy 20i2).:.
Identifying Factorial Designs in Popular Press Articles 371
Summary 374
Key Terms 374
Review Questions 375
Learning Actively 376
PART VI: Balancing Research Priorities
what is the
•• .À’.r.y i £ :- Î-*,** *.-• **£***1^* 7 r 7
value of an
experiment
with just one
participant?
CHAPTER 13: Quasi-Experiments and Small-W Designs
Quasi-Experiments 382
Two Examples of Independent-Groups Quasi-Experiments 382
Two Examples of Repeated-Measures Quasi-Experiments 385
Internal Validity in Quasi-Experiments 388
Balancing Priorities in Quasi-Experiments 396
Are Quasi-Experiments the Same as Correlational Studies? 397
Small-A/ Designs: Studying Only a Few Individuals 398
Research on Split Brains 399
Behavior-Change Studies in Clinical Settings:
Three Small-A/ Designs 402
Other Examples of Sin all-A Studies 406
Evaluating the Four Validities in Small-AT Designs 407
Summary 409
Key Terms 409
Review Questions 410
Learning Actively 411
CHAPTER 14: Replicability, Generalization,
and the Real World 413
To Be Important, a Study Must Be Replicable 414
Replication Studies 414
Replication, Importance, and the Weight of the Evidence 419
Meta-Analysis: What Does the Literature Say? 419
Replicability in the Popular Press 423
To Be Important, Must a Study Have External Validity? 424
Generalizing to Other Participants 424
Generalizing to Other Settings 425
Does a Study Have to Be Generalizable to Many People? 426
Does a Study Have to Take Place in a Real-World Setting? 433
Summary 438
Key Terms 439
Review Questions 439
Learning Actively 440
STATISTICS REVIEW: Descriptive Statistics 441
STATISTICS REVIEW: Inferential Statistics 463
PRESENTING RESULTS: APA-Style Reports and
Conference Posters 487
APPENDIX A: Random Numbers and Howto Use Them 527
APPENDIX B: Statistical Tables 533
Areas Under the Normal Curve (Distribution of z) 533
Critical Values of f 539
Critical Values off 541
r to /Conversion 545
Glossary 547
Answers to End-of-Chapter Questions 557
Review Question 557
Guidelines for Selected Learning Actively Exercises 558
References 571
Credits 583
Name Index 587
Subject Index 591
Would we find
these same results
in other cultural
contexts?
|
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| indexdate | 2024-07-10T07:06:59Z |
| institution | BVB |
| isbn | 9780393936933 |
| language | English |
| lccn | 2014016570 |
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| spelling | Morling, Beth Verfasser (DE-588)112159462X aut Research methods in psychology evaluating a world of information Beth Morling 2. ed. New York [u.a.] Norton 2015 XXXI, 604 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Psychology / Textbooks / Research / Methodology Psychology, Experimental / Textbooks Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Psychologie (DE-588)4047704-6 s Forschungsmethode (DE-588)4155046-8 s DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028096980&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Morling, Beth Research methods in psychology evaluating a world of information Psychology / Textbooks / Research / Methodology Psychology, Experimental / Textbooks Forschungsmethode (DE-588)4155046-8 gnd Psychologie (DE-588)4047704-6 gnd |
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| title | Research methods in psychology evaluating a world of information |
| title_auth | Research methods in psychology evaluating a world of information |
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| title_full | Research methods in psychology evaluating a world of information Beth Morling |
| title_fullStr | Research methods in psychology evaluating a world of information Beth Morling |
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| title_short | Research methods in psychology |
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| topic_facet | Psychology / Textbooks / Research / Methodology Psychology, Experimental / Textbooks Forschungsmethode Psychologie |
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