What is the response (Y) of interest and how is it measured? Two of the survey’s rating questions are being analyzed in this case. There are five response options for each of these questions expressing the degree of agreement with each proposition. This is referred to as a 5-point Likert scale and is an ordinal scale of measure. Since this is an ordinal scale, we are interested in the frequency (or proportion) of response in each of the five agreement categories.

Are predictor variables mentioned in the problem statement? If so, how many and what are their measurement levels? The problem statement concerns differences in the perception of EBP by organization level. In this case we are interested in comparing the opinions of leaders vs. nurse professionals. This means there is one predictor variable (X), the organization level.

What are you being asked to deliver? A data description, an interval estimate, an answer to a question, or a predictive model? We are being asked to answer a question. A test of hypothesis is an appropriate statistical method to answer a question based on a sample of data. For this case we will make two bivariate comparisons, where the response variable (Y) is the rating and the predictor variable (X) is the organization level. The appropriate statistical method is a chi-square test for independence.