1. Chapter 2 The 6 W’s & H

2. The “W’s”  To provide context we need the W’s  Who - REQUIRED  What (and in what units) - REQUIRED  When  Where  Why – STRONGLY Recommended  How  By Whom  of the data.

3. Who  The Who of the data tells us the individual cases for which (or whom) we have collected data.  Individuals who answer a survey are called respondents.  People on whom we experiment are called subjects or participants.  Animals, plants, and inanimate subjects are called experimental units.

4. Who (cont.)  Sometimes people just refer to data values as observations and are not clear about the Who.  But we need to know the Who of the data so we can learn what the data say.

5. What One of most important A “what” must exist to be a data set Are the variables MUST HAVE UNITS ATTACHED

6. When The time period or periods where we collected the data NOT when we published the data.

7. Why Reason for study Tells us if the variables are categorical or quantitative

8. How How the study or experiment were conducted (this can be hidden, so it is important to find out!)

9. Variables  Categorical is a label is like a “box”  v.  Quantitative is a measure OF the “box” OR it is how many things in a box

10. Categorical v. Quantitative  Question: Is “interest in teaching” categorical or quantitative?  We sense an order to these ratings, but there are no natural units for the variable interest in teaching.  Variables like interest in teaching are often called ordinal variables.  With an ordinal variable, look at the Why of the study to decide whether to treat it as categorical or quantitative.

11. A word of caution  Don’t label a variable as categorical or quantitative without thinking about the question you want it to answer.  Just because your variable’s values are numbers, don’t assume that it’s quantitative.  Always be skeptical—don’t take data for granted.

12. Group Task  Find the 6 W’s AND the H  Identify any variables,  Are the variables categorical or quantitative?