Key concepts

Empirical research foundations

• Key concepts:
  • Data management
  • Level of measures
• Test questions:
  • Quantitative Test: Q1

Descriptive statistics

• Key concepts:
  • Distribution: frequency, percentiles
  • Central tendency: mean, weighted mean, median, mode
  • Dispersion: standard deviation, skewness
• Test questions:
  • Quantitative test: Q2

Inferential statistics

• Key concepts:
  • Probability: Z-scores
  • Distribution tables
  • Standard errors
  • Confidence Intervals and p-values
  • Type I and type II error
• Test questions:
  • Quantitative test: Q3

Testing differences

• Key concepts:
  • Estimating population proportions
  • Testing difference of means
  • Contingency tables and Chi-Square test of independence
• Test questions:
  • Quantitative test: Q4

Regression

Basics

• Dependent and independent variable
• Slope (regression coefficient) and intercept
• Goodness of fit and outliers
• Residual variation and standard error of the estimate
• Coefficient of determination r-squared
• Standard error of the slope
• Assumptions of linear regression
  • Errors Normally distributed
  • Homoskedasticity
  • Errors are independent of each other
  • Independent and dependent variables must be interval variables
  • Linear relationship between variables

Multiple regression

• Ordinary least squares (OLS)
• Partial slope (regression coefficients)
• Multiple coefficient of determination R-squared
• Adjusted R-squared
• Dummy variable regression
• Additional regression assumptions
  • Model is specified correctly
  • Low multi-collinearity
• Polynomial curve fitting

Before class

Review the key concepts from previous two weeks.

In class

• Concepts review lecture.
• In-class quiz (two Kahoot!).
• Hands-on and group practice

After class

• Review test questions
• Completing outstanding assignments: Customized learning (due this Friday).