Vor Ort
Merkzettel Warenkorb
Produktbild: An Introduction to Statistics and Data Analysis Using Stata®

An Introduction to Statistics and Data Analysis Using Stata® From Research Design to Final Report

155,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2025

Verlag

Sage Publications

Seitenzahl

384

Maße (L/B/H)

23/18,7/1,9 cm

Gewicht

660 g

Auflage

2 Revised edition

Sprache

Englisch

ISBN

978-1-07-188370-9

Beschreibung

Rezension

The book by Daniels and Minot helps students understand how to conduct empirical research. The authors' concise and straightforward approach makes complicated topics easy to grasp, while their emphasis on a hands-on experience approach utilizing Stata further enhances the practicality of the material. Hector H. Sandoval

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2025

Verlag

Sage Publications

Seitenzahl

384

Maße (L/B/H)

23/18,7/1,9 cm

Gewicht

660 g

Auflage

2 Revised edition

Sprache

Englisch

ISBN

978-1-07-188370-9

EU-Ansprechpartner

Kolibri 360 GmbH
Ettore-Bugatti-Straße 6-14
51149 Köln
DE
produktsicherheit@kolibri360.de

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB
orders@sagepub.co.uk

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: An Introduction to Statistics and Data Analysis Using Stata®
  • Preface
    Acknowledgments
    Part I ¿ The Research Process And Data Collection
    Chapter 1 ¿ A Brief Overview of the Research Process
    1.1 Introduction
    1.2 What Is Research
    1.3 Steps In The Research Process
    1.4 Conclusion
    Exercises
    Chapter 2 ¿ Sampling Techniques
    2.1 Introduction
    2.2 Sample Design
    2.3 Selecting A Sample
    2.4 Sampling Weights
    Exercises
    Chapter 3 ¿ Questionnaire Design
    3.1 Introduction
    3.2 Types Of Questionnaires
    3.3 Guidelines For Questionnaire Design
    3.4 Recording Responses
    3.5 Skip Patterns
    3.6 Ethical Issues
    Exercises
    Part II ¿ Describing Data
    Chapter 4 ¿ An Introduction to Stata
    4.1 Introduction
    4.2 Opening Stata And Stata Windows
    4.3 Working With Existing Data
    4.4 Setting Preferences In Stata
    4.5 Entering Your Own Data Into Stata
    4.6 Using Log Files And Saving Your Work
    4.7 Getting Help
    4.8 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 5 ¿ Preparing and Transforming Your Data
    5.1 Introduction
    5.2 Checking For Outliers
    5.3 Creating New Variables
    5.4 Missing Values In Stata
    5.5 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 6 ¿ Descriptive Statistics
    6.1 Introduction
    6.2 Types Of Variables And Measurement
    6.3 Descriptive Statistics For All Types Of Variables: Frequency Tables And Modes
    6.4 Descriptive Statistics For Variables Measured As Ordinal, Interval, And Ratio Scales: Median And Percentiles
    6.5 Descriptive Statistics For Continuous Variables: Mean, Variance, Standard Deviation, And Coefficient Of Variation
    6.6 Descriptive Statistics For Categorical Variables Measured On A Nominal Or Ordinal Scale: Cross Tabulation
    6.7 Applying Sampling Weights
    6.8 Formatting Output For Use In A Document (Word, Google Docs, Etc.)
    6.9 Graphs To Describe Data
    6.10 Summary Of Commands Used In This Chapter
    Exercises
    Part III ¿ Testing Hypotheses
    Chapter 7 ¿ The Normal Distribution, Hypothesis Testing, and Statistical Significance
    7.1 Introduction
    7.2 The Normal Distribution And Standard Scores
    7.3 Sampling Distributions And Standard Errors
    7.4 Examining The Theory And Identifying The Research Question And Hypothesis
    7.5 Testing For Statistical Significance Between A Sample Mean And A Population Mean
    7.6 Rejecting Or Not Rejecting The Null Hypothesis
    7.7 Interpreting The Results
    7.8 Central Limit Theorem
    7.9 Presenting The Results
    7.10 Comparing A Sample Proportion To A Population Proportion
    7.11 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 8 ¿ Testing a Hypothesis About a Single Mean and a Single Proportion
    8.1 Introduction
    8.2 When To Use The One-Sample t Test
    8.3 Calculating The One-Sample t Test
    8.4 Conducting A One-Sample t Test
    8.5 Interpreting The Output
    8.6 Presenting The Results
    8.7 Estimating A Population Proportion From A Sample Proportion
    8.8 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 9 ¿ Testing a Hypothesis About Two Independent Means
    9.1 Introduction
    9.2 When To Use A Two Independentsamples t Test
    9.3 Calculating The t Statistic
    9.4 Conducting A t Test
    9.5 Interpreting The Output
    9.6 Presenting The Results
    9.7 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 10 ¿ One-Way Analysis of Variance
    10.1 Introduction
    10.2 When To Use One-Way ANOVA
    10.3 Calculating The F Ratio
    10.4 Conducting A One-Way ANOVA Test
    10.5 Interpreting The Output
    10.6 Is One Mean Different or are all of Them Different?
    10.7 Presenting The Results
    10.8 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 11 ¿ Comparing Categorical Variables - The Chi-Squared Test and Proportions
    11.1 Introduction
    11.2 When To Use The Chi-Squared Test
    11.3 Calculating The Chi-Square Statistic
    11.4 Conducting A Chi-Squared Test
    11.5 Interpreting The Output
    11.6 Presenting The Results
    11.7 Comparing Proportions Or Binary Categorical Variables
    11.8 Summary Of Commands Used In This Chapter
    Exercises
    Part IV ¿ Exploring Relationships
    Chapter 12 ¿ Linear Regression Analysis
    12.1 Introduction
    12.2 When To Use Regression Analysis
    12.3 Correlation
    12.4 Simple Regression Analysis
    12.5 Multiple Regression Analysis
    12.6 Presenting The Results
    12.7 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 13 ¿ Regression Diagnostics
    13.1 Introduction
    13.2 Measurement Error
    13.3 Specification Error
    13.4 Multicollinearity
    13.5 Heteroscedasticity
    13.6 Endogeneity
    13.7 Nonnormality
    13.8 Presenting The Results
    13.9 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 14 ¿ Regression Analysis with Binary Dependent Variables
    14.1 Introduction
    14.2 When To Use Logit Or Probit Analysis
    14.3 Understanding The Logit Model
    14.4 Running A Logit Model
    14.5 Interpreting The Results Of A Logit Model
    14.6 Logit Versus Probit Regression Models
    14.7 Presenting The Results
    14.8 Summary Of Commands Used In This Chapter
    Exercises
    Chapter 15 ¿ Introduction to Advanced Topics in Regression Analysis
    15.1 Introduction
    15.2 Regression With A Categorical Dependent Variable
    15.3 Instrumental Variables Regression
    15.4 Regression With Time-Series Data
    15.5 Regression That Combines Cross-Section And Time-Series Data
    15.6 Summary Of Commands Used In This Chapter
    Exercises
    Part V ¿ Writing A Research Paper
    Chapter 16 ¿ Writing a Research Paper
    16.1 Introduction
    16.2 Introduction Section Of A Research Paper
    16.3 Literature Review
    16.4 Theory, Data, And Methods
    16.5 Results
    16.6 Discussion
    16.7 Conclusions
    Exercises
    Appendices
    Appendix 1 ¿ Quick Reference Guide to Stata Commands
    Appendix 2 ¿ Summary of Statistical Tests by Chapter
    Appendix 3 ¿ Decision Tree for Choosing the Right Statistic
    Appendix 4 ¿ Decision Rules for Statistical Significance
    Appendix 5 ¿ Areas Under the Normal Curve (Z Scores)
    Appendix 6 ¿ Critical Values of the t Distribution
    Appendix 7 ¿ Stata Code for Random Sampling
    Appendix 8 ¿ Examples of Nonlinear Functions
    Appendix 9 ¿ Estimating the Minimum Sample Size
    Appendix 10 Description of the Data Sets Used in the Textbook
    Glossary
    About the Authors
    Index