Description
Test Bank for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition Daniels
Downloadable Instructor Test Bank for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition By Lisa Daniels, Nicholas Minot, ISBN: 9781506371832
Table Of Content
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
Sample design
Selecting a sample
Sampling weights
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
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
Checking for outliers
Creating new variables
Missing values in Stata
Summary of commands used in chapter
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
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
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
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
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
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
When to use a regression analysis
Correlation
Simple regression analysis
Multiple regression analysis
Presenting the results
Summary of commands used in chapter
Measurement error
Specification error
Multicollinearity
Heteroskedasticity
Endogeneity
Non-normality
Presenting the results
Summary of commands used in chapter
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
Introduction section of a research paper
Literature review
Data and methods
Results
Discussion
