Meta-analysis for psychologists:
This textbook provides a comprehensive, user-friendly guide to meta-analysis and how to conduct it, using open source software and based on examples commonly found in the field of psychology. Meta-analysis is a key tool used in systematic literature reviews to synthesize research findings across stu...
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| Format: | Buch |
| Sprache: | English |
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Cham
Palgrave Macmillan
[2024]
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| Ausgabe: | 2024 ed |
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| Online-Zugang: | Cover Inhaltsverzeichnis |
| Zusammenfassung: | This textbook provides a comprehensive, user-friendly guide to meta-analysis and how to conduct it, using open source software and based on examples commonly found in the field of psychology. Meta-analysis is a key tool used in systematic literature reviews to synthesize research findings across studies, but despite being relatively straightforward to perform, it remains underused by psychologists. In the first section the reader is introduced to key ideas that underlie meta-analysis and how it might be best employed. Following this the reader is guided through how to run a meta-analysis of correlational studies and experimental studies using the free and open statistical software JAMOVI. In the concluding section Professor Cooke considers common issues, key debates and examines the relative merits of different analyses and different software packages.Covers theory, key issues and step-by-step demonstrationsIncludes examples worked examples familiar to psychologists and datasetsCompanion videos demonstrate the methods outlinedIt will provide a valuable new resource for postgraduate students and researchers in the behavioural and social sciences looking to enhance their methodological skills |
| Beschreibung: | xviii, 190 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031737725 |
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| 520 | 3 | |a This textbook provides a comprehensive, user-friendly guide to meta-analysis and how to conduct it, using open source software and based on examples commonly found in the field of psychology. Meta-analysis is a key tool used in systematic literature reviews to synthesize research findings across studies, but despite being relatively straightforward to perform, it remains underused by psychologists. In the first section the reader is introduced to key ideas that underlie meta-analysis and how it might be best employed. Following this the reader is guided through how to run a meta-analysis of correlational studies and experimental studies using the free and open statistical software JAMOVI. In the concluding section Professor Cooke considers common issues, key debates and examines the relative merits of different analyses and different software packages.Covers theory, key issues and step-by-step demonstrationsIncludes examples worked examples familiar to psychologists and datasetsCompanion videos demonstrate the methods outlinedIt will provide a valuable new resource for postgraduate students and researchers in the behavioural and social sciences looking to enhance their methodological skills | |
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Datensatz im Suchindex
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1 Introduction to Meta-Analysis for Psychologists. Introduction to Meta Anais sis lor Psychologists. Who Is This Book For". Whs Is This Book Needed?. Anns of This Book. Overview of the Book. 1 I 2 2 2 References. 3 Part I 2 3 Introduction to Meta-Analysis I 5 What Is a Meta-Analysis andWhy Should I Run One?. What Is a Meta Analysis?. Meta- Anais ses Conducted bs Pss chologists. What Does Meta Anais sis Involve?. What Is an Effect Si/e?. What Does Pooling (Ss nthesising) Data Mean?. What Does Sample-Weighting Mean'.’. What Is Publication Bias.’. Whs Should I Run a Meta-Anais sis?. How
Many Studies t Samples) Do I Need to Run a Meta-Analysis" . 7 7 7 11 II 12 13 14 15 17 Summary. I7 References. 17 Identifying Your Effect Size. IP Identifying Your Effect Si/e. IP Statistical Dimensions: There's More to Stats Than Significance. The Direction of an Effect Si/e. The Magnitude of an Effect Si/e . The Correlation Coefficient ( r) An Effect Si/e Eamiliar to Pss chologists. The Effect Si/e Difference (d) An Effect Si/e I.ess Гат il iar to Psychologists. A Common Error in Using Cohen's Guidelines to Interpret Meta-Anais tic Results . 21 22 22 23 2b 2P
Summary. Tasks. References. Part II Preparing to Conduct a Meta-Analysis 29 30 30 33 4 Systematic Review Essentials. Systematic Review Essentials. Step 1. Specifying Your Review Question. How Many Review Questions Should I Specify?. Step 2. Defining Your Inclusion Criteria. How Many Inclusion Criteria Should I Have in a Meta-Analysis?. A Brief Section on PICO. Step 3. Stating Your Search Strategy. PROSPERO. PRISMA. Summary. References. 35 35 36 37 38 39 40 41 45 46 47 47 5 Data Extraction for Meta-
Analysis. Data Extraction for Meta-Analysis. Before You Begin Data Extraction. How to Get Started with Data Extraction When Conducting a MetaAnalysis. Data Extraction for a Correlational Meta-Analysis. Data Extraction for an Experimental Meta-Analysis. A Note on Data Extraction Forms That Already Exist. The Advantages of Independent Data Extraction. What to Do When the Statistical Information You Want Has Not Been Reported?. Summary. Tasks. References. 49 49 49 Quality Appraisal for Meta-Analysis. What Is Quality Appraisal?. Biases in Research Studies. Selection Bias (Part 1
). Methods Researchers Use to Randomly Allocate Participants to Condition. Selection Bias (Part 2). Methods Researchers Use to Conceal Allocation to Condition from Participants. Performance Bias. Methods Researchers Use to Blind Participants and Personnel to Condition. 59 59 60 60 6 50 50 52 54 54 55 55 56 56 61 61 62 62 62
xiii Contents 7 Detection Bias. Methods Researchers Use to BlindOutcome Assessors. Attrition Bias. Methods Researchers Use to Reduce Attrition. Reporting Bias. Quality Appraising Experimental Studies as Part of a Meta-Analysis. Example Risk of Bias Form—Wittleder et al. (2019). Selection Bias (Random Sequence Generation and Allocation Concealment). Performance Bias (Blinding of Participants and Personnel). Detection Bias (Blinding of Outcome Assessors). Attrition Bias (Incomplete Outcome Data). Reporting Bias (Selective Reporting) and Other Bias (Bias Due to Problems Not Covered Elsewhere in the Table). Quality Appraising Correlational Studies. Summary. References. 63 65 65 67 67 68 68 Data Synthesis for Meta-Analysis. Meta-Analysis Is a Form of
Data Synthesis. Comparing Oranges to Apples, and Why This Matters for Data Synthesis. Thinking About Correlations’ Direction and Magnitude. Thinking About Effect Size Differences Direction and Magnitude. What Statistical Information Does Meta-Analysis Produce?. What Does Sample-Weighting Mean?. What Does Heterogeneity of Effect Sizes Mean?. How Do You Identify Publication Bias in Meta-Analysis?. Summary. Tasks. References. 75 75 Part Ш 8 Conducting Meta-Analysis in Jamovi Using jamovi to Conduct Meta-Analyses. A Lucky Introduction to jamovi. Why This Book Uses jamovi to Run Meta-Analyses. Downloading and Installing jamovi. Modules—A Library of Extensions. Installing MAJOR. Setting Up
Datasets in jamovi for Using MAJOR. Creating a Dataset for Meta-Analysis of Correlations. Creating a Dataset for Meta-Analysis of Effect Size Differences . Alternative Software Packages for Running Meta-Analysis. Summary. Tasks. References. 68 70 70 70 71 71 72 73 76 77 78 79 80 82 83 85 85 86 89 91 91 92 92 93 94 95 95 95 96 97 97 97
Contents xiv 9 How to Conduct a Meta-Analysis of Correlations. Running a Meta-Analysis of Correlations in jamovi Using MAJOR. . How Do I Interpret the Output?. Main Output. Heterogeneity Statistics. Publication Bias. Statistical Estimates of Publication Bias. Funnel Plot as a Visual Indicator of Publication Bias. Summary. Tasks. References. 10 How to Conduct a Meta-Analysis of Effect Size Differences. Ill Running a Meta-Analysis of Effect Size Differences in Jamovi Using MAJOR. Ill How Do I Interpret the Output?. 114 Main Output. 114 Heterogeneity
Statistics. 115 Publication Bias. 118 Statistical Estimates of Publication Bias. 118 Funnel Plot as a Visual Indicator of Publication Bias. 120 Summary. 121 Tasks. 121 References. 121 Part IV 11 Further Issues in Meta-Analysis 99 99 101 101 103 106 107 107 108 108 109 123 Fixed Effect vs Random Effects Meta-Analyses.125 What Kind of Meta-Analysis Should I Run?. 125 What Kinds of Meta-Analysis Are There?. 125 What Is a Fixed Effect Meta-Analysis?. 126 How Does Random Effects Meta-Analysis Differ from Fixed Effect Meta-Analysis?. 127 How Do Results Differ Between Fixed-Effect and Random Effects Meta-Analysis?. 128 Similarities in Results Between Random Effects and Fixed-Effect Meta-
Analyses. 128 Differences in Results Between Fixed-Effect and Random Effects Meta-Analyses. 129 How Do Fixed-Effect and Random-Effects Meta-Analyses Weight Studies?. 130 Why I Prefer Random Effects Meta-Analysis. 132 Summary. 133 References. 134
Contents XV 12 Moderator (Sub-group) Analyses.135 Heterogeneity Between Effect Sizes—a Challenge to Precision in Meta-Analysis. 135 Statistics Used to Test Heterogeneity in Meta-Analysis. 135 Introduction to Moderator (Sub-group) Analyses. 138 How to Identify Moderators When Writing the Protocol for Your Meta-Analysis. 139 How Moderator Analysis Works in Meta-Analysis. 140 Dichotomous (Binary) Moderator Variables. 140 Categorical Moderator Variables. 141 Continuous Moderator Variables. 142 Testing Multiple Moderators Simultaneously. 142 What About When Moderators Are Confounded with One Another? . 143 How to Perform Moderator Analyses as Part of a . . 143 Running a Moderator Analysis in Jamovi. 144 Some Cautionary Notes About Moderator Analyses. 145 Summary. 146
References. 147 13 Publication Bias. What Is Publication Bias?. Why Does Publication Bias Matter When Conducting a Meta-Analysis? . Statistics Used to Identify Publication Bias in Meta-Analysis. Fail-Safe N Values. Begg and Mazumdar Rank Correlation and Egger’s Regression Test . Funnel Plots. Using Duval and Tweedie’s Trim and Fill Method to Adjust the Overall Effect Size for‘Missing Studies’. Ways to Address Publication Bias in a Meta-Analysis. Why It’s Important to Publish Nulland Negative Effect Sizes. Summary. References. 14 149 149 150 150 150 152 152 153 154 155 156 156 Further Methods for Meta-Analysis.159 Extensions of Meta-analysis. 159 A Better Way to Test Publication Bias—p-curve Analysis. 160 A Special Type of
Moderator Analysis—meta-CART. 161 A Method to Estimate Variability Among ‘True’ Effect Sizes in a Random-Effects Meta-Analysis—Prediction Intervals. 162 A Method to Control for Baseline Differences in an Outcome Prior to Running a Meta-Analysis of Effect SizeDifferences. 165 A Better Method for Testing Theory Relationships Using Correlational Data. 166 Methods to Address Dependence Between MultipleOutcomes. 167 Summary 169 References. 169
xvi Contents 15 Writing Up Your Meta-Analysis. Writing Up Your Meta-Analysis. Sections of an Academic Paper. Title Page. Abstract. Introduction. Method. Search Strategy and Inclusion Criteria. Meta-Analytic Strategy (DataSynthesis). Multiple Samples and Multiple Measures. Results. Summary. References. 171 171 171 171 172 172 173 173 175 176 176 182 183 Glossary. 185 Index. 189 |
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| spelling | Cooke, Richard ca. 20./21. Jh. Verfasser (DE-588)1358422907 aut Meta-analysis for psychologists Richard Cooke Cham Palgrave Macmillan [2024] xviii, 190 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier This textbook provides a comprehensive, user-friendly guide to meta-analysis and how to conduct it, using open source software and based on examples commonly found in the field of psychology. Meta-analysis is a key tool used in systematic literature reviews to synthesize research findings across studies, but despite being relatively straightforward to perform, it remains underused by psychologists. In the first section the reader is introduced to key ideas that underlie meta-analysis and how it might be best employed. Following this the reader is guided through how to run a meta-analysis of correlational studies and experimental studies using the free and open statistical software JAMOVI. In the concluding section Professor Cooke considers common issues, key debates and examines the relative merits of different analyses and different software packages.Covers theory, key issues and step-by-step demonstrationsIncludes examples worked examples familiar to psychologists and datasetsCompanion videos demonstrate the methods outlinedIt will provide a valuable new resource for postgraduate students and researchers in the behavioural and social sciences looking to enhance their methodological skills Psychologie (DE-588)4047704-6 gnd rswk-swf Metaanalyse (DE-588)4169552-5 gnd rswk-swf Clinical psychology Gesundheitspsychologie Health psychology Klinische Psychologie MEDICAL / Public Health PSYCHOLOGY / Applied Psychology PSYCHOLOGY / Clinical Psychology PSYCHOLOGY / Research & Methodology PSYCHOLOGY / Social Psychology Psychological methodology Psychologische Methodenlehre SOCIAL SCIENCE / Statistics Social research & statistics Social, group or collective psychology Sozialforschung und -statistik Sozialpsychologie Psychologie (DE-588)4047704-6 s Metaanalyse (DE-588)4169552-5 s DE-604 Erscheint auch als Online-Ausgabe 978-3-031-73773-2 https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313733373732357C7C434F50.jpg?sq=1 Verlag Cover Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035456315&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Cooke, Richard ca. 20./21. Jh Meta-analysis for psychologists Psychologie (DE-588)4047704-6 gnd Metaanalyse (DE-588)4169552-5 gnd |
| subject_GND | (DE-588)4047704-6 (DE-588)4169552-5 |
| title | Meta-analysis for psychologists |
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| title_full | Meta-analysis for psychologists Richard Cooke |
| title_fullStr | Meta-analysis for psychologists Richard Cooke |
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