Quantitative social science data with R: an introduction
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
SAGE
[2023]
|
| Edition: | 2nd edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to:- Understand and use quantitative data to answer questions- Approach surrounding ethical issues- Collect quantitative data- Manage, write about, and share the data effectivelySupported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned |
| Physical Description: | x, 390 Seiten Illustrationen, Diagramme |
| ISBN: | 9781529790450 9781529790467 |
Staff View
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TABLE OF CONTENTS Preface About the Author Online Resources 1 vii xi xiii Introduction i 2 Introduction to R and RStudio 7 3 Finding Data 21 4 Data Management 33 5 Variables and Manipulation 65 6 Developing Hypotheses 97 7 Univariate and Descriptive Statistics 109 8 Data Visualisation 137 9 Hypothesis Testing 171 10 Bivariate Analysis 187 П Linear Regression and Model Building 209 12 OLS Assumptions and Diagnostic Testing 239 13 Generalised Linear Models 267 14 Count Models 315 15 Putting It All Together 339 References Index ^79 383 |
| adam_txt |
TABLE OF CONTENTS Preface About the Author Online Resources 1 vii xi xiii Introduction i 2 Introduction to R and RStudio 7 3 Finding Data 21 4 Data Management 33 5 Variables and Manipulation 65 6 Developing Hypotheses 97 7 Univariate and Descriptive Statistics 109 8 Data Visualisation 137 9 Hypothesis Testing 171 10 Bivariate Analysis 187 П Linear Regression and Model Building 209 12 OLS Assumptions and Diagnostic Testing 239 13 Generalised Linear Models 267 14 Count Models 315 15 Putting It All Together 339 References Index ^79 383 |
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| discipline | Informatik Soziologie Wirtschaftswissenschaften |
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| spelling | Fogarty, Brian J. Verfasser (DE-588)1180307208 aut Quantitative social science data with R an introduction Brian J. Fogarty 2nd edition Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne SAGE [2023] © 2023 x, 390 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to:- Understand and use quantitative data to answer questions- Approach surrounding ethical issues- Collect quantitative data- Manage, write about, and share the data effectivelySupported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Sozialwissenschaften (DE-588)4055916-6 s Quantitative Methode (DE-588)4232139-6 s R Programm (DE-588)4705956-4 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=034161092&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Fogarty, Brian J. Quantitative social science data with R an introduction Quantitative Methode (DE-588)4232139-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4232139-6 (DE-588)4055916-6 (DE-588)4705956-4 (DE-588)4151278-9 |
| title | Quantitative social science data with R an introduction |
| title_auth | Quantitative social science data with R an introduction |
| title_exact_search | Quantitative social science data with R an introduction |
| title_exact_search_txtP | Quantitative social science data with R an introduction |
| title_full | Quantitative social science data with R an introduction Brian J. Fogarty |
| title_fullStr | Quantitative social science data with R an introduction Brian J. Fogarty |
| title_full_unstemmed | Quantitative social science data with R an introduction Brian J. Fogarty |
| title_short | Quantitative social science data with R |
| title_sort | quantitative social science data with r an introduction |
| title_sub | an introduction |
| topic | Quantitative Methode (DE-588)4232139-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Quantitative Methode Sozialwissenschaften R Programm Einführung |
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