Doing statistical analysis: a student's guide to quantitative research
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Routledge
2023
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| Schriftenreihe: | Statistics/Economics
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | vii, 255 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032180304 9781032171326 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | Contents Acknowledgments 1 What Is Statistical Analysis from a Research Perspective? ix 1 1.1 A Statistical Association: COVID-19 Spread and Residential Property Prices 1 1.2 Why Do Statistical Analysis in Research? The Book’s Purpose and Pedagogical Approach 3 1.3 Three Types of Statistical Research Questions: Descriptive, Associational, and Inferential 5 1.4 Some Key Concepts You Really Should Understand 5 1.5 Chapter Summary, Key Learning Points, and the Organization of the Rest of the Book 8 Notes 10 2 Descriptive Research Questions 2.1 2.2 Introduction and Chapter Overview 11 What is Typical? Three Measures of Central Tendency: Mean, Median, and Mode 11 2.3 Variables’ Measurement Levels: Continuous or Categorical Variables 20 2.4 Ordinal Variables: A Third and Special-Case Measurement Level 25 2.5 Visual Presentation of Descriptive Statistics: Graphs 27 2.6 The Concept of Variation: Statistical Spreadfor Continuous Variables 30 2.7 Foreshadowing Associational Research Questions: Descriptive Statistics for Subgroups 35 Chapter Summary, Key Learning Points, and Further Reading 35 Executing Statistical Commands: Do-Files in Stata and Syntax-Files in SPSS 37 2.10 Chapter Exercises with Solutions 47 Notes 50 Appendix A: Christmas Beer Data 52 Appendix B: Soccer Data 53 Appendix C: Student Exercise Data 55 2.8 2.9 11
vi Contents 3 Associational Research Questions I: Bivariate Analysis 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10 57 Introduction: The Association between Two Variables, x and y 57 A Categorical x and a Categorical y: Cross-Tabulation 57 A Categorical x and a Continuous y: ANOVA 61 A Continuous x and a Continuous y: Regression Analysis 64 An Ordinal y and Bivariate Analysis 71 The Limitations of Bivariate Analysis: The Needfor Statistical Control for a Third Variable 74 Experimental Control for a Third (and Fourth) Variable 75 Chapter Summary, Key Learning Points, and Further Reading 76 Do-Files in Stata and Syntax-Files in SPSS 77 Chapter Exercises with Solutions 85 Notes 91 4 Associational Research Questions II: Multiple Regression 4.1 4.2 4.3 93 Introduction and Chapter Overview 93 Statistical Con trolfor Observational Data: Two Examples 93 The Multiple Regression Model and R2 100 4.4 Non-Linear Effects 104 4.5 Interaction Effects (Moderator Effects) 110 4.6 Regression on Experimental Data 115 4.7 A Dummy y 119 4.8 Chapter Summary, Key Learning Points, and Further Reading 125 4.9 Do-Files in Stata and Syntax-Files in SPSS 125 4.10 Chapter Exercises with Solutions 136 Notes 143 Appendix A: Student Exercise Motive Data 145 Appendix B: Student Tourism Data 147 Appendix C: Red Wine Data 148 5 Inferential Research Questions 5.1 Introduction and Chapter Overview 149 5.2 Samples, Populations, and Random Sampling 149 5.3 Repeated Sampling and the Normal Distribution 151 5.4 The 95 Percent CIfor Descriptive Statistics: Means and Proportions 155 5.5 The 95 Percent CIfor Variable
Associations 158 5.6 Verifying That Random Sampling and the Central Limit Theorem Work as Promised 161 5.7 Hypothesis Testing and the Assessment of Statistical Significance 164 5.8 Critical Aspects of Significance Testing 175 5.9 Chapter Summary, Key Learning Points, and Further Reading 178 5.10 Do-Files in Stata and Syntax-Files in SPSS 179 5.11 Chapter Exercises with Solutions 185 Notes 193 149
(.Contents 6 Doing Quantitative Research: Some Tricks of the Trade VII 196 6.1 Introduction and Chapter Overview 196 6.2 Creaíin^, Recoding, and Labeling New Variables 196 6.3 Creating a New Variable by Combining Existing Variables 199 6.4 Missing Data and What to Do about Them 201 6.5 Outliers: When Too Much Information Causes Trouble 209 6.6 The Assumptions of Regression Analysis 212 6.7 Effect Sizes 221 6.8 How to Present and Communicate Statistical-Association Results 224 6.9 Chapter Summary, Key Learning Points, and Further Reading 23 ì 6.10 Statistical Commands: Do֊Files in Stata and Syntax-Files in SPSS 232 6.11 Chapter Exercises with Solutions 238 Notes 246 Appendix A: Female Student Weight Data 248 References Index 249 251
|
| adam_txt |
Contents Acknowledgments 1 What Is Statistical Analysis from a Research Perspective? ix 1 1.1 A Statistical Association: COVID-19 Spread and Residential Property Prices 1 1.2 Why Do Statistical Analysis in Research? The Book’s Purpose and Pedagogical Approach 3 1.3 Three Types of Statistical Research Questions: Descriptive, Associational, and Inferential 5 1.4 Some Key Concepts You Really Should Understand 5 1.5 Chapter Summary, Key Learning Points, and the Organization of the Rest of the Book 8 Notes 10 2 Descriptive Research Questions 2.1 2.2 Introduction and Chapter Overview 11 What is Typical? Three Measures of Central Tendency: Mean, Median, and Mode 11 2.3 Variables’ Measurement Levels: Continuous or Categorical Variables 20 2.4 Ordinal Variables: A Third and Special-Case Measurement Level 25 2.5 Visual Presentation of Descriptive Statistics: Graphs 27 2.6 The Concept of Variation: Statistical Spreadfor Continuous Variables 30 2.7 Foreshadowing Associational Research Questions: Descriptive Statistics for Subgroups 35 Chapter Summary, Key Learning Points, and Further Reading 35 Executing Statistical Commands: Do-Files in Stata and Syntax-Files in SPSS 37 2.10 Chapter Exercises with Solutions 47 Notes 50 Appendix A: Christmas Beer Data 52 Appendix B: Soccer Data 53 Appendix C: Student Exercise Data 55 2.8 2.9 11
vi Contents 3 Associational Research Questions I: Bivariate Analysis 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10 57 Introduction: The Association between Two Variables, x and y 57 A Categorical x and a Categorical y: Cross-Tabulation 57 A Categorical x and a Continuous y: ANOVA 61 A Continuous x and a Continuous y: Regression Analysis 64 An Ordinal y and Bivariate Analysis 71 The Limitations of Bivariate Analysis: The Needfor Statistical Control for a Third Variable 74 Experimental Control for a Third (and Fourth) Variable 75 Chapter Summary, Key Learning Points, and Further Reading 76 Do-Files in Stata and Syntax-Files in SPSS 77 Chapter Exercises with Solutions 85 Notes 91 4 Associational Research Questions II: Multiple Regression 4.1 4.2 4.3 93 Introduction and Chapter Overview 93 Statistical Con trolfor Observational Data: Two Examples 93 The Multiple Regression Model and R2 100 4.4 Non-Linear Effects 104 4.5 Interaction Effects (Moderator Effects) 110 4.6 Regression on Experimental Data 115 4.7 A Dummy y 119 4.8 Chapter Summary, Key Learning Points, and Further Reading 125 4.9 Do-Files in Stata and Syntax-Files in SPSS 125 4.10 Chapter Exercises with Solutions 136 Notes 143 Appendix A: Student Exercise Motive Data 145 Appendix B: Student Tourism Data 147 Appendix C: Red Wine Data 148 5 Inferential Research Questions 5.1 Introduction and Chapter Overview 149 5.2 Samples, Populations, and Random Sampling 149 5.3 Repeated Sampling and the Normal Distribution 151 5.4 The 95 Percent CIfor Descriptive Statistics: Means and Proportions 155 5.5 The 95 Percent CIfor Variable
Associations 158 5.6 Verifying That Random Sampling and the Central Limit Theorem Work as Promised 161 5.7 Hypothesis Testing and the Assessment of Statistical Significance 164 5.8 Critical Aspects of Significance Testing 175 5.9 Chapter Summary, Key Learning Points, and Further Reading 178 5.10 Do-Files in Stata and Syntax-Files in SPSS 179 5.11 Chapter Exercises with Solutions 185 Notes 193 149
(.Contents 6 Doing Quantitative Research: Some Tricks of the Trade VII 196 6.1 Introduction and Chapter Overview 196 6.2 Creaíin^, Recoding, and Labeling New Variables 196 6.3 Creating a New Variable by Combining Existing Variables 199 6.4 Missing Data and What to Do about Them 201 6.5 Outliers: When Too Much Information Causes Trouble 209 6.6 The Assumptions of Regression Analysis 212 6.7 Effect Sizes 221 6.8 How to Present and Communicate Statistical-Association Results 224 6.9 Chapter Summary, Key Learning Points, and Further Reading 23 ì 6.10 Statistical Commands: Do֊Files in Stata and Syntax-Files in SPSS 232 6.11 Chapter Exercises with Solutions 238 Notes 246 Appendix A: Female Student Weight Data 248 References Index 249 251 |
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| spelling | Thrane, Christer Verfasser (DE-588)1200375068 aut Doing statistical analysis a student's guide to quantitative research Christer Thrane London ; New York Routledge 2023 vii, 255 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Statistics/Economics Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 s Statistische Analyse (DE-588)4116599-8 s DE-604 Erscheint auch als Online-Ausgabe 978-1-003-25255-9 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=033837177&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Doing statistical analysis a student's guide to quantitative research |
| title_auth | Doing statistical analysis a student's guide to quantitative research |
| title_exact_search | Doing statistical analysis a student's guide to quantitative research |
| title_exact_search_txtP | Doing statistical analysis a student's guide to quantitative research |
| title_full | Doing statistical analysis a student's guide to quantitative research Christer Thrane |
| title_fullStr | Doing statistical analysis a student's guide to quantitative research Christer Thrane |
| title_full_unstemmed | Doing statistical analysis a student's guide to quantitative research Christer Thrane |
| title_short | Doing statistical analysis |
| title_sort | doing statistical analysis a student s guide to quantitative research |
| title_sub | a student's guide to quantitative research |
| topic | Statistische Analyse (DE-588)4116599-8 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| topic_facet | Statistische Analyse Quantitative Methode |
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