KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

How Do We Display and Report These Bivariate Statistics?

Erin Ruel

There are two important pieces of information that need to be presented from bivariate analyses: (1) some form of point estimate for the association, and (2) the P-value that lets us know the association is significant. What exactly is displayed will depend upon the bivariate association procedure used.

If we are presenting a correlation, then we do not need to display the entire correlation table that a statistical package provides to us. We can simply state the size of the correlation. For example, in Q83 we correlated education and income. We can say “Education and income are moderately and positively correlated at .455, and the association is statistically significant at P <.0001.”

If presenting on means ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles