Using R for data analysis in social sciences: a research project-oriented approach
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Oxford University Press
[2018]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xix, 341 pages 24 cm |
| ISBN: | 9780190656225 9780190656218 |
Staff View
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Record in the Search Index
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| adam_text | CONTENTS List of Figures ix List of Tables xi Acknowledgments Introduction xv хШ 1. Learn about R and Write First Toy Programs і WHEN TO USE R IN A RESEARCH PROJECT ESSENTIALS ABOUT R 2 3 HOW TO START A PROJECT FOLDER AND WRITE OUR FIRST R PROGRAM CREATE, DESCRIBE, AND GRAPH A VECTOR: A SIMPLE TOY EXAMPLE 4 7 SIMPLE REAL-WORLD EXAMPLE: DATA FROM IVERSEN AND SOSKICE (2006) CHAPTER 1: R PROGRAM CODE TROUBLESHOOT AND GET HELP 23 28 32 IMPORTANT REFERENCE INFORMATION: SYMBOLS, OPERATORS, AND FUNCTIONS SUMMARY 35 MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 36 42 2. Get Data Ready: Import, Inspect, and Prepare Data PREPARATION 43 IMPORT PENN WORLD TABLE 7.0 DATASET INSPECT IMPORTED DATA 45 49 PREPARE DATA I: VARIABLE TYPES AND INDEXING PREPARE DATA II: MANAGE DATASETS 59 PREPARE DATA III: MANAGE OBSERVATIONS PREPARE DATA IV: MANAGE VARIABLES 68 65 55 43 34
con vi CHAPTER 2 PROGRAM CODE SUMMARY т i; n t s 78 85 MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 86 93 3. One-Sample and Difference֊of֊Means Tests CONCEPTUAL PREPARATION DATA PREPARATION 94 95 101 WHAT IS THE AVERAGE ECONOMIC GROWTH RATE IN THE WORLD ECONOMY? DID THE WORLD ECONOMY GROW MORE QUICKLY IN 1990 THAN IN 19(10? CHAPTER 3 PROGRAM CODE SUMMARY 115 128 133 MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 104 133 142 4. Covariance and Correlation 143 DATA AND SOFTWARE PREPARATIONS 143 VISUALIZE THE RELATIONSHIP BETWEEN TRADE AND GROWTH USING SCATTER PLOT 146 ARE TRADE OPENNESS AND ECONOMIC GROWTH CORRELATED? 149 DOES THE CORRELATION BETWEEN TRADE AND GROWTH CHANGE OVER TIME? CHAPTER 4 PROGRAM CODE SUMMARY 160 163 MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 5. 164 168 Regression Analysis 170 CONCEPTUAL PREPARATION: HOW TO UNDERSTAND REGRESSION ANALYSIS DATA PREPARATION 175 VISUALIZE AND INSPECT DATA 182 HOW TO ESTIMATE AND INTERPRET OLS MODEL COEFFICIENTS HOW TO ESTIMATE STANDARD ERROR OF COEFFICIENT 185 187 HOW TO MAKE AN INFERENCE ABOUT THE POPULATION PARAMETER OF INTEREST 188 HOW TO INTERPRET OVERALL MODEL FIT HOW TO PRESENT STATISTICAL RESULTS CHAPTER 5 PROGRAM CODE SUMMARY 198 194 190 193 171 154
vii CONTENTS MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 199 204 6. Regression Diagnostics and Sensitivity Analysis WHY ARE OLS ASSUMPTIONS AND DIAGNOSTICS IMPORTANT? DATA PREPARATION 215 PERFECT AND HIGH MULTICOLLINEARITY CONSTANT ERROR VARIANCE 221 223 INDEPENDENCE OF ERROR TERM OBSERVATIONS INFLUENTIAL OBSERVATIONS NORMALITY TEST 245 REPORT FINDINGS 247 CHAPTER 6 PROGRAM CODE 227 240 251 259 MISCELLANEOUS Q AS FOR AMBITIOUS READERS EXERCISES 206 211 LINEARITY AND MODEL SPECIFICATION SUMMARY 206 259 262 7. Replication of Findings in Published Analyses 2бз WHAT EXPLAINS THE GEOGRAPHIC SPREAD OF MILITARIZED INTERSTATE DISPUTES? REPLICATION AND DIAGNOSTICS OF BRAITHWAITE (2006) 264 DOES RELIGIOSITY INFLUENCE INDIVIDUAL ATTITUDES TOWARD INNOVATION? REPLICATION OF BÉNABOU ET AL. (2015) CHAPTER 7 PROGRAM CODE SUMMARY 284 295 301 8. Appendix: A Brief Introduction to Analyzing Categorical Data and Finding More Data 302 OBJECTIVE 302 GETTING DATA READY 303 DO MEN AND WOMEN DIFFER IN SELF-REPORTED HAPPINESS? 304 DO BELIEVERS IN GOD AND NON-BELIEVERS DIFFER IN SELF-REPORTED HAPPINESS? 310 SOURCES OF SELF-REPORTED HAPPINESS: LOGISTIC REGRESSION WHERE TO FIND MORE DATA References and Readings Index 331 327 323 313
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| dewey-ones | 330 - Economics |
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| dewey-sort | 3330.285 45133 |
| dewey-tens | 330 - Economics |
| discipline | Soziologie Wirtschaftswissenschaften |
| format | Book |
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| isbn | 9780190656225 9780190656218 |
| language | English |
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| physical | xix, 341 pages 24 cm |
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| spelling | Li, Quan 1966- Verfasser (DE-588)14280892X aut Using R for data analysis in social sciences a research project-oriented approach Quan Li New York, NY Oxford University Press [2018] xix, 341 pages 24 cm txt rdacontent n rdamedia nc rdacarrier Social sciences Research Data processing Social sciences Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe, PDF 978-0-19-065623-2 Erscheint auch als Online-Ausgabe, EPUB 978-0-19-065624-9 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030820551&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Li, Quan 1966- Using R for data analysis in social sciences a research project-oriented approach Social sciences Research Data processing Social sciences Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4123037-1 |
| title | Using R for data analysis in social sciences a research project-oriented approach |
| title_auth | Using R for data analysis in social sciences a research project-oriented approach |
| title_exact_search | Using R for data analysis in social sciences a research project-oriented approach |
| title_full | Using R for data analysis in social sciences a research project-oriented approach Quan Li |
| title_fullStr | Using R for data analysis in social sciences a research project-oriented approach Quan Li |
| title_full_unstemmed | Using R for data analysis in social sciences a research project-oriented approach Quan Li |
| title_short | Using R for data analysis in social sciences |
| title_sort | using r for data analysis in social sciences a research project oriented approach |
| title_sub | a research project-oriented approach |
| topic | Social sciences Research Data processing Social sciences Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Social sciences Research Data processing Social sciences Statistical methods R (Computer program language) R Programm Datenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030820551&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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