An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report
Autor Lisa Daniels, Nicholas W. Minoten Limba Engleză Electronic book text – 24 ian 2019
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Specificații
ISBN-13: 9781506371849
ISBN-10: 1506371841
Pagini: 392
Dimensiuni: 187 x 232 mm
Ediția:First Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 1506371841
Pagini: 392
Dimensiuni: 187 x 232 mm
Ediția:First Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
Recenzii
“This book introduces statistical methods to students while, at the same time, walking them through the process by which to apply those methods to real-world problems using Stata. This is something that is severely lacking in methods texts at this time.”
“This is so far one of the best introductions to statistics and Stata that I have seen, particularly for my students who really need a bit of hand holding. This will likely make it less intimidating for students with no exposure to statistics.”
“I found the style of the book very sound for today’s student. The style wasn’t overly formal nor was the material presented in an overly complicated fashion. The author kept to a somewhat casual, approachable writing style that should be perfect for the modern college student.”
“This is a much needed book that encompasses research methods through to the analysis stage and reporting writing.”
“This is so far one of the best introductions to statistics and Stata that I have seen, particularly for my students who really need a bit of hand holding. This will likely make it less intimidating for students with no exposure to statistics.”
“I found the style of the book very sound for today’s student. The style wasn’t overly formal nor was the material presented in an overly complicated fashion. The author kept to a somewhat casual, approachable writing style that should be perfect for the modern college student.”
“This is a much needed book that encompasses research methods through to the analysis stage and reporting writing.”
Cuprins
Part 1: The research process and data collection
Chapter 1: The research process and data collection
Read the literature and identify gaps or ways to extend the literature
Examine the theory
Develop your research questions and hypotheses
Develop your research method
Analyze the data
Write the research paper
Chapter 2: Sampling techniques
Sample design
Selecting a sample
Sampling weights
Chapter 3: Questionnaire design
Structured and semi-structure questionnaires
Open- and closed-ended questions
General guidelines for questionnaire design
Designing the questions
Collecting the response data
Skip patterns
Ethical issues
Part 2: Describing Data
Chapter 4: An Introduction to Stata
Opening Stata and Stata Windows
Working with existing data
Entering your own data into Stata
Using log files and saving your work
Getting help
Summary of commands used in chapter
Chapter 5: Preparing and transforming your data
Checking for outliers
Creating new variables
Missing values in Stata
Summary of commands used in chapter
Chapter 6: Descriptive statistics
Types of variable and measurement
Descriptive statistics for all types of variables -- frequency tables and modes
Descriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentiles
Descriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variation
Descriptive statistics for categorical variables measured on a nominal or ordinal scale -- cross tabulation
Applying sampling weights
Formatting output for use in a document (Word, Google Docs, etc.)
Graphs to describe data
Summary of code used in chapter
Part 3: Testing Hypotheses
Chapter 7: The Normal distribution
The normal distribution and standard scores
Sampling distributions and standard errors
Examining the theory and identifying the research question and hypothesis
Testing for statistical significance
Rejecting or not rejecting the null hypothesis
Interpreting the results
Central limit theorem
Presenting the results
Summary of commands used in chapter
Chapter 8: Testing a hypothesis about a single mean
When to use the one-sample t test
Calculating the one-sample t test
Conducting a one-sample t test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Chapter 9: Testing a hypothesis about two means
When to use a two independent-samples t test
Calculating the t statistic
Conducting a t test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Chapter 10: Analysis of variance
When to use one-way analysis of variance
Calculating the F ratio
Conducting a one-way analysis of variance test
Interpreting the output
Is one mean different or are all of them different?
Presenting the results
Summary of commands used in chapter
Chapter 11: Cross-tabulation and the chi-squared test
When to use the chi-squared test
Calculating the chi-squared test
Conducting a chi-squared test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Part 4: Exploring relationships
Chapter 12: Linear regression analysis
When to use a regression analysis
Correlation
Simple regression analysis
Multiple regression analysis
Presenting the results
Summary of commands used in chapter
Chapter 13: Regression Diagnostics
Measurement error
Specification error
Multicollinearity
Heteroskedasticity
Endogeneity
Non-normality
Presenting the results
Summary of commands used in chapter
Chapter 14: Regression analysis with categorical dependent variables
When to use logit or probit analysis
Understanding the logit model
Running logit and interpreting the results
Logit vs probit regression models
Regression analysis with other types of categorical dependent variables
Presenting the results
Summary of commands used in chapter
Chapter 15: Writing a research paper
Introduction section of a research paper
Literature review
Data and methods
Results
Discussion
Conclusions
Chapter 1: The research process and data collection
Read the literature and identify gaps or ways to extend the literature
Examine the theory
Develop your research questions and hypotheses
Develop your research method
Analyze the data
Write the research paper
Chapter 2: Sampling techniques
Sample design
Selecting a sample
Sampling weights
Chapter 3: Questionnaire design
Structured and semi-structure questionnaires
Open- and closed-ended questions
General guidelines for questionnaire design
Designing the questions
Collecting the response data
Skip patterns
Ethical issues
Part 2: Describing Data
Chapter 4: An Introduction to Stata
Opening Stata and Stata Windows
Working with existing data
Entering your own data into Stata
Using log files and saving your work
Getting help
Summary of commands used in chapter
Chapter 5: Preparing and transforming your data
Checking for outliers
Creating new variables
Missing values in Stata
Summary of commands used in chapter
Chapter 6: Descriptive statistics
Types of variable and measurement
Descriptive statistics for all types of variables -- frequency tables and modes
Descriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentiles
Descriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variation
Descriptive statistics for categorical variables measured on a nominal or ordinal scale -- cross tabulation
Applying sampling weights
Formatting output for use in a document (Word, Google Docs, etc.)
Graphs to describe data
Summary of code used in chapter
Part 3: Testing Hypotheses
Chapter 7: The Normal distribution
The normal distribution and standard scores
Sampling distributions and standard errors
Examining the theory and identifying the research question and hypothesis
Testing for statistical significance
Rejecting or not rejecting the null hypothesis
Interpreting the results
Central limit theorem
Presenting the results
Summary of commands used in chapter
Chapter 8: Testing a hypothesis about a single mean
When to use the one-sample t test
Calculating the one-sample t test
Conducting a one-sample t test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Chapter 9: Testing a hypothesis about two means
When to use a two independent-samples t test
Calculating the t statistic
Conducting a t test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Chapter 10: Analysis of variance
When to use one-way analysis of variance
Calculating the F ratio
Conducting a one-way analysis of variance test
Interpreting the output
Is one mean different or are all of them different?
Presenting the results
Summary of commands used in chapter
Chapter 11: Cross-tabulation and the chi-squared test
When to use the chi-squared test
Calculating the chi-squared test
Conducting a chi-squared test
Interpreting the output
Presenting the results
Summary of commands used in chapter
Part 4: Exploring relationships
Chapter 12: Linear regression analysis
When to use a regression analysis
Correlation
Simple regression analysis
Multiple regression analysis
Presenting the results
Summary of commands used in chapter
Chapter 13: Regression Diagnostics
Measurement error
Specification error
Multicollinearity
Heteroskedasticity
Endogeneity
Non-normality
Presenting the results
Summary of commands used in chapter
Chapter 14: Regression analysis with categorical dependent variables
When to use logit or probit analysis
Understanding the logit model
Running logit and interpreting the results
Logit vs probit regression models
Regression analysis with other types of categorical dependent variables
Presenting the results
Summary of commands used in chapter
Chapter 15: Writing a research paper
Introduction section of a research paper
Literature review
Data and methods
Results
Discussion
Conclusions
Descriere
Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.