An introduction to data analysis: quantitative, qualitative and mixed methods
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
Sage
2018
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xviii, 269 Seiten Diagramme |
| ISBN: | 9781446295144 9781446295151 |
Staff View
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Record in the Search Index
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| adam_text | Contents
List of Tables xi
List of Figures xiii
Preface xv
Acknowledgements xix
About the Author xxi
1 Introducing Data 1
1.1 Chapter Overview 2
1.2 Data Surrounds Us 2
1.3 The Power of Data: Fog, Pollution, and Catastrophe in London 2
1.4 The Lingering Influence of Data: The Work of Alexis de Tocqueville 3
1.5 The Questions that Drive Data Analysis: The Work of Adolphe Quetelet 4
1.6 Defining Data 8
1.7 From Data to Big Data 10
1.8 Concluding Thoughts 11
1.9 Summary 12
1.10 Further Reading 12
1.11 Discussion Questions 13
2 Thinking like a Data Analyst 15
2.1 Chapter Overview 16
2.2 Introduction: Developing a Rigorous, Reflective Attitude 16
2.3 Positivist and Interpretivist Frameworks 17
2.4 Contrasting Quantitative and Qualitative Approaches 19
2.5 Hypotheses and How to Test Them 21
2.6 Other Theoretical Approaches 24
2.7 Different Types of Validity 26
2.8 Triangulation 29
2.9 Recognizing Our Limitations 29
2.10 Concluding Thoughts 30
2.11 Summary 31
2.12 Further Reading 31
2.13 Discussion Questions 32
Vi
CONTENTS
3 Finding, Collecting, and Organizing Data 33
3.1 Chapter Overview 34
3.2 Data Sources: An Introduction 34
3.3 Unexpected Data Sources: A Long-Term Perspective on Crime 35
3.4 Developing Research Questions and Hypotheses 36
3.5 Designing a Research Plan 38
3.6 Pilot Studies 38
3.7 Finding a Sample 39
3.8 Minimizing Sampling Error 46
3.9 Non-response 47
3.10 Missing Data 48
3.11 Thinking about Secondary Data 51
3.12 Ethics and Research Design 53
3.13 Concluding Thoughts 60
3.14 Summary 60
3.15 Further Reading 61
3.16 Discussion Questions 62
4 Introducing Quantitative Data Analysis 65
4.1 Chapter Overview 66
4.2 What is Quantitative Data Analysis? 66
4.3 Quantitative Data Analysis Approaches 67
4.4 Cross-Sectional and Longitudinal Data 70
4.5 Advantages and Disadvantages of Secondary Data 71
4.6 What Is a Variable? 72
4.7 Populations, Samples, and Statistical Inference 74
4.8 Descriptive Statistics 77
4.9 Measures of Central Tendency 77
4.10 Measures of Variability 79
4.11 The Sampling Distribution 30
4.12 The Normal Distribution 31
4.13 Introducing p-Values 32
4.14 Type I Error and Type II Error 33
4.15 One-Tailed Tests and Two-Tailed Tests 34
4.16 Beyond Significance Testing 85
4.17 Concluding Thoughts 86
4.18 Summary 86
4.19 Further Reading 87
4.20 Discussion Questions 87
5 Applying Quantitative Data Analysis: Correlations,
t-Tests, and Chi-Square Tests 89
5.1 Chapter Overview
5.2 Introduction: Associations and Differences
90
90
CONTENTS
vis
5.3 Introducing Correlation 91
5.4 Understanding Covariance and Correlation 92
5.5 Conducting a Significance Test 98
5.6 Interpreting Pearson s Correlation Coefficient 100
5.7 Checking Assumptions 101
5.8 If Your Data Does Not Meet the Assumptions of Pearson s r 102
5.9 The t-Test: An Overview 103
5.10 Formulas for the t-Test 106
5.11 Interpreting t-Test Results: A Cautionary Note 116
5.12 Checking Assumptions 116
5.13 If Your Data Does Not Meet the Assumptions of the f-Test 117
5.14 The Chi-Square Test of Association 118
5.15 Determining Significance 123
5.16 Testing Assumptions 124
5.17 If Your Data Does Not Meet the Assumptions of
the Chi-Square Test of Association 125
5.18 Concluding Thoughts 126
5.19 Summary 126
5.20 Further Reading 127
5.21 Discussion Questions 128
6 Introducing Qualitative Data Analysis 129
6.1 Chapter Overview 130
6.2 What Makes Data Qualitative ? 130
6.3 Qualitative Data Analysis Approaches 131
6.4 Analytical Strategies 138
6.5 Coding: A Preview 140
6.6 Examples of Qualitative Studies 142
6.7 How to Select a Qualitative Approach 143
6.8 Concluding Thoughts 145
6.9 Summary 145
6.10 Further Reading 145
6.11 Discussion Questions 147
7 Applying Qualitative Data Analysis 149
7.1 Chapter Overview 150
7.2 Analysing Qualitative Data: An Overview 150
7.3 What Are You Going to Analyse? 151
7.4 Data Types 151
7.5 Non-Textual Analysis 153
7.6 Beginning Your Analysis 154
7.7 Launching the Coding Process 155
7.8 Predetermined and Spontaneous Codes 155
7.9 Complexities in the Coding Process 161
viii
CONTENTS
7.10 Theoretical Memos 162
7.11 Coding with CAQDAS 163
7.12 Presenting Findings 167
7.13 Concluding Thoughts 169
7.14 Summary 170
7.15 Further Reading 171
7.16 Discussion Questions 171
8 Introducing Mixed Methods: How to Synthesize Quantitative
and Qualitative Data Analysis Techniques 175
8.1 Chapter Overview 176
8.2 What is Mixed-Methods Research? 176
8.3 Why Use Both Quantitative and Qualitative Methods?
The Example of Excess Winter Mortality 177
8.4 Rationales for Using Mixed Methods 180
8.5 Types of Mixed-Methods Research 183
8.6 The Challenges of Crossing the Methodological Divide 184
8.7 Examples from Across the Disciplines 187
8.8 Concluding Thoughts 190
8.9 Summary 191
8.10 Further Reading 191
8.11 Discussion Questions 192
9 Communicating Findings and Visualizing Data 193
9.1 Chapter Overview 194
9.2 Wait.. .We re Not Done Yet? 194
9.3 Communicating Findings: General Principles 194
9.4 Think about Your Audience(s) 196
9.5 Different Venues for Communicating Findings 197
9.6 Data Visualization 199
9.7 Recommendations for Data Visualization 218
9.8 The Future of Data Visualization 219
9.9 Examples of Innovative Data Visualizations 220
9.10 Concluding Thoughts 221
9.11 Summary 222
9.12 Further Reading 222
9.13 Discussion Questions 223
10 Conclusion: Becoming a Data Analyst 225
10.1 Chapter Overview 226
10.2 Becoming a Data Analyst: Key Principles 226
10.3 Concluding Thoughts: The Future of Data Analysis 232
CONTENTS O
IX
10.4 Summary 232
10.5 Further Reading 233
10.6 Discussion Questions 234
Glossary 235
References 243
Index 263
This book offers a complete introduction to the fundamentals of data and
will enable you to think like a data analyst.
Using real-world case studies, it sets out theories for understanding
quantitative, qualitative, and mixed methods data analysis, and develops
techniques for applying best practice in your research. Simply organized
with clear, jargon-free language, this book will give you the tools to become
a proficient data analyst, and to develop the critical thinking skills necessary
to evaluate analyses presented by others.
It will guide you through:
n understanding data analysis
frameworks
O critiquing validity and
credibility of data
O applying sampling techniques
findings effectively
E.j managing your data
O producing quality data
visualization to disseminate
your research
□ communicating your data and
Whether you are new to data analysis or looking for a quick reference
guide, this book serves to uncover the nuances, complexities, patterns and
relationships among all types of data.
TIFFANY BERGIN is Senior Research Analyst at the New York City Criminal
Justice Agency.
|
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| isbn | 9781446295144 9781446295151 |
| language | English |
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| spelling | Bergin, Tiffany Verfasser (DE-588)1171741197 aut An introduction to data analysis quantitative, qualitative and mixed methods Tiffany Bergin Data analysis Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne Sage 2018 xviii, 269 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Datenanalyse (DE-588)4123037-1 gnd rswk-swf Qualitative Methode (DE-588)4137346-7 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s Quantitative Methode (DE-588)4232139-6 s Qualitative Methode (DE-588)4137346-7 s DE-604 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030298068&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030298068&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Bergin, Tiffany An introduction to data analysis quantitative, qualitative and mixed methods Datenanalyse (DE-588)4123037-1 gnd Qualitative Methode (DE-588)4137346-7 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4137346-7 (DE-588)4232139-6 |
| title | An introduction to data analysis quantitative, qualitative and mixed methods |
| title_alt | Data analysis |
| title_auth | An introduction to data analysis quantitative, qualitative and mixed methods |
| title_exact_search | An introduction to data analysis quantitative, qualitative and mixed methods |
| title_full | An introduction to data analysis quantitative, qualitative and mixed methods Tiffany Bergin |
| title_fullStr | An introduction to data analysis quantitative, qualitative and mixed methods Tiffany Bergin |
| title_full_unstemmed | An introduction to data analysis quantitative, qualitative and mixed methods Tiffany Bergin |
| title_short | An introduction to data analysis |
| title_sort | an introduction to data analysis quantitative qualitative and mixed methods |
| title_sub | quantitative, qualitative and mixed methods |
| topic | Datenanalyse (DE-588)4123037-1 gnd Qualitative Methode (DE-588)4137346-7 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| topic_facet | Datenanalyse Qualitative Methode Quantitative Methode |
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