Collin gleaned some archival data about ER visits in America from US Consumer Product Safety Commission. For each ER visit, there is a brief description of the reason for the visit. Collin queried punching related injuries. See his Method section below describes how he set the parameters for his operationalized variable. With a bit of explaining, you could also describe how Collin took qualitative data (the written description of the injury) and converted it into quantitative data:
Then he made some charts.
The age of wall punchers is right-skewed. And probably could be used in a Developmental Psychology class to illustrate poor judgment in adolescents as well as the emergence of the prefrontal cortex/executive thinking skills in one's early 20s.
The author looked at wall punching by month of the year and uncovered a fairly uniform distribution.
How to use in class:
-Skew
-Taking qualitative data and coding it (here, turning "ER Visit" into "Wall Punch: Yes or No"
-Uniform Distributions
-Method section
-Archival data
-Criteria for operationlizing a variable when coding data
 |
| http://qz.com/582720/americas-most-prolific-wall-punchers-charted/ |
The age of wall punchers is right-skewed. And probably could be used in a Developmental Psychology class to illustrate poor judgment in adolescents as well as the emergence of the prefrontal cortex/executive thinking skills in one's early 20s.
 |
| http://qz.com/582720/americas-most-prolific-wall-punchers-charted/ |
 |
| http://qz.com/582720/americas-most-prolific-wall-punchers-charted/ |
How to use in class:
-Skew
-Taking qualitative data and coding it (here, turning "ER Visit" into "Wall Punch: Yes or No"
-Uniform Distributions
-Method section
-Archival data
-Criteria for operationlizing a variable when coding data
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