Archival and secondary data:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
Sage
[2021]
|
| Series: | The Sage quantitative research kit
5th volume |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xi, 169 Seiten Diagramme |
| ISBN: | 9781526424723 |
Staff View
MARC
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Record in the Search Index
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| adam_text | CONTENTS List ofFigures and Tables About the Authors 1 2 3 ix xiii What Is Archival and Secondary Data Analysis? 1 Background and History Secondary Data Analysis: What Does It Mean? Why Should I Do Research on Second-Hand Data? The Ontological and Epistemological Issues of Secondary Analysis The Social Construction of Data Useful Concepts and Terms in Secondary Analysis Data and Theory Secondary Data Analysis Versus Big Data Analysis Metadata, Paradata and Secondary Data Data and Variables 2 3 3 4 5 6 6 6 7 8 From Ideas to Research Questions 11 Background Research Questions to Research Design Coming Up With a Research Topic Concepts and Variables Choices and Compromise How Do Your Concepts Relate Population and Units of Analysis 12 12 13 14 15 16 17 Finding Secondary Data 21 Background Your Ideal Data Set Looking for Research Data Starting Your Search for Research Data Search Tool 1: Searching for a Particular Data Set Within the UKDS Search Tool 2: Key Data Within the UKDS Search Tool 3: Theme Pages Within the UKDS Search Tool 4: The UKDS Data Catalogue What Happens If You Get Too Many Results? Who Can Access the Data? 22 22 25 25 26 27 27 27 27 28
ví 4 5 6 I ARCHIVAL AND SECONDARY DATA ANALYSIS Keywords, Search Terms and Databases Practical Steps in Searching for Data 28 29 Getting to Know the Data 33 Background Interpreting Data Correctly Evaluating the Data Catalogue Entry Establishing the Coverage, Universe and Methodology of the Data Exploring the Survey Documentation Using Nesstar to explore data 34 34 34 36 40 42 Basic Data Management 47 Background Basic Data Manipulation Commands in the Statistical Software Packages SPSS and STATA Using a Syntax or Command File Basic SPSS Commands Basic STATA Commands Building a Usable Data Set Creating Subsets ofData Wide or Long Data Sets? Common Problems With Getting Familiar With Secondary Data Sets Tips on Handling Secondary Data Sets Getting to Know the Understanding Society Data Set Why Use the Understanding Society Data Set?· Contents of the Study Target Population and Samples Accessing the Data Using the Data Data Structure Practical Exercise Understanding Society Common STATA Commands Commonly Used Commands to Explore Data Commonly Used Commands to Modify and Sort the Data File Commonly Used Commands to Summarise Data 48 * 48 48 49 49 50 50 50 52 53 57 57 58 58 59 59 59 63 63 64 65 65 Manipulating Data and Basic Statistical Analysis 69 Background Examining Univariate Distributions Example Examining Bivariate Associations 70 70 71 77
CONTENTS 7 8 9 Manipulating Data Cross Tabulations Comparing Means Statistical Tests to Compare Means and Proportions Examining Multivariate Associations Making Statistical Inference What Is Weighting? How Do You Use the Derived Weights? Basic Longitudinal Data Analysis Examples of Longitudinal Data Examining Associations Between Variables Measured at Different Times Describing Change in a Repeated Measure Modelling Change in a Repeated Measure Practical Longitudinal Data Analysis Exercise Data Management Descriptive Analysis Regression Analysis 77 79 83 84 87 87 88 93 93 93 94 94 95 95 100 102 Writing Up Your Analyses 107 Background Existing Guidelines Reporting Your Results in Words Preparing Tables Preparing Graphs Practical Exercise 108 108 110 111 111 112 Complexities of Working With Secondary Data: Limitations of Archival and Secondary Data Analysis 119 Background Identifying Problems and Limitations in Secondary Data Using Derived Variables Dealing With Missing Data Changing Your Research Questions Showing Critical Awareness Sharing Your Analyses and Coding 120 120 122 123 126 127 128 Conclusions 131 Next Steps in Secondary Data Analysis Critics of Secondary Analysis Ethical Risks and Informed Consent, Confidentiality and Anonymity The Future of Secondary Data 132 133 133 134
viii ARCHIVAL AND SECONDARY DATA ANALYSIS Appendix 1: Case Study Example of Secondary Data Analysis Using Biomarker Data From Understanding Society, the UK Household Longitudinal Study Appendix 2: Software and Data Used in This Book and Related User Guides 137 157 Glossary 159 References 163 Index 165
|
| adam_txt |
CONTENTS List ofFigures and Tables About the Authors 1 2 3 ix xiii What Is Archival and Secondary Data Analysis? 1 Background and History Secondary Data Analysis: What Does It Mean? Why Should I Do Research on Second-Hand Data? The Ontological and Epistemological Issues of Secondary Analysis The Social Construction of Data Useful Concepts and Terms in Secondary Analysis Data and Theory Secondary Data Analysis Versus Big Data Analysis Metadata, Paradata and Secondary Data Data and Variables 2 3 3 4 5 6 6 6 7 8 From Ideas to Research Questions 11 Background Research Questions to Research Design Coming Up With a Research Topic Concepts and Variables Choices and Compromise How Do Your Concepts Relate Population and Units of Analysis 12 12 13 14 15 16 17 Finding Secondary Data 21 Background Your Ideal Data Set Looking for Research Data Starting Your Search for Research Data Search Tool 1: Searching for a Particular Data Set Within the UKDS Search Tool 2: Key Data Within the UKDS Search Tool 3: Theme Pages Within the UKDS Search Tool 4: The UKDS Data Catalogue What Happens If You Get Too Many Results? Who Can Access the Data? 22 22 25 25 26 27 27 27 27 28
ví 4 5 6 I ARCHIVAL AND SECONDARY DATA ANALYSIS Keywords, Search Terms and Databases Practical Steps in Searching for Data 28 29 Getting to Know the Data 33 Background Interpreting Data Correctly Evaluating the Data Catalogue Entry Establishing the Coverage, Universe and Methodology of the Data Exploring the Survey Documentation Using Nesstar to explore data 34 34 34 36 40 42 Basic Data Management 47 Background Basic Data Manipulation Commands in the Statistical Software Packages SPSS and STATA Using a Syntax or Command File Basic SPSS Commands Basic STATA Commands Building a Usable Data Set Creating Subsets ofData Wide or Long Data Sets? Common Problems With Getting Familiar With Secondary Data Sets Tips on Handling Secondary Data Sets Getting to Know the Understanding Society Data Set Why Use the Understanding Society Data Set?· Contents of the Study Target Population and Samples Accessing the Data Using the Data Data Structure Practical Exercise Understanding Society Common STATA Commands Commonly Used Commands to Explore Data Commonly Used Commands to Modify and Sort the Data File Commonly Used Commands to Summarise Data 48 * 48 48 49 49 50 50 50 52 53 57 57 58 58 59 59 59 63 63 64 65 65 Manipulating Data and Basic Statistical Analysis 69 Background Examining Univariate Distributions Example Examining Bivariate Associations 70 70 71 77
CONTENTS 7 8 9 Manipulating Data Cross Tabulations Comparing Means Statistical Tests to Compare Means and Proportions Examining Multivariate Associations Making Statistical Inference What Is Weighting? How Do You Use the Derived Weights? Basic Longitudinal Data Analysis Examples of Longitudinal Data Examining Associations Between Variables Measured at Different Times Describing Change in a Repeated Measure Modelling Change in a Repeated Measure Practical Longitudinal Data Analysis Exercise Data Management Descriptive Analysis Regression Analysis 77 79 83 84 87 87 88 93 93 93 94 94 95 95 100 102 Writing Up Your Analyses 107 Background Existing Guidelines Reporting Your Results in Words Preparing Tables Preparing Graphs Practical Exercise 108 108 110 111 111 112 Complexities of Working With Secondary Data: Limitations of Archival and Secondary Data Analysis 119 Background Identifying Problems and Limitations in Secondary Data Using Derived Variables Dealing With Missing Data Changing Your Research Questions Showing Critical Awareness Sharing Your Analyses and Coding 120 120 122 123 126 127 128 Conclusions 131 Next Steps in Secondary Data Analysis Critics of Secondary Analysis Ethical Risks and Informed Consent, Confidentiality and Anonymity The Future of Secondary Data 132 133 133 134
viii ARCHIVAL AND SECONDARY DATA ANALYSIS Appendix 1: Case Study Example of Secondary Data Analysis Using Biomarker Data From Understanding Society, the UK Household Longitudinal Study Appendix 2: Software and Data Used in This Book and Related User Guides 137 157 Glossary 159 References 163 Index 165 |
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| id | DE-604.BV047608468 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:39:07Z |
| indexdate | 2024-07-10T09:16:04Z |
| institution | BVB |
| isbn | 9781526424723 |
| language | English |
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| physical | xi, 169 Seiten Diagramme |
| publishDate | 2021 |
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| publisher | Sage |
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| series | The Sage quantitative research kit |
| series2 | The Sage quantitative research kit |
| spelling | Chandola, Tarani Verfasser (DE-588)1246330067 aut Archival and secondary data Tarani Chandola, Cara Booker Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne Sage [2021] xi, 169 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier The Sage quantitative research kit 5th volume Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 s Datenanalyse (DE-588)4123037-1 s Datenmanagement (DE-588)4213132-7 s DE-604 Booker, Cara Verfasser (DE-588)1246332078 aut The Sage quantitative research kit 5th volume (DE-604)BV047607953 5 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=032993420&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Chandola, Tarani Booker, Cara Archival and secondary data The Sage quantitative research kit Empirische Sozialforschung (DE-588)4014606-6 gnd Datenmanagement (DE-588)4213132-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
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