14 Data Interpretation and Findings
The story continues…
It was so exciting to have the step-by-step recipe for collecting data completed. Harry visualized one day soon when he would find his beloved cheese on the kitchen table untouched by mice. Harry and Physicus went to work observing, counting and collecting data.
After days of experiments, the friends found that when Pickles was in a room with less than four mice, he would charge toward them and catch them all before the mice could escape through a tiny crack in the wall. When there were four mice in the room, Pickles would still attack the mice but only if he had skipped a meal. However, the friends learned that when there were five mice or more in the room, Pickles would hesitate and remain composed, observing the mice but not attacking them.
Physicus questioned Harry, “So what do you think, Harry? What did we learn? What are the facts we now know?”
“Hmm, well, for certain we know Pickles does not catch mice when there are five mice or more in the room because he does not attack. However, when there are fewer than four, Pickles will attack and catch all of the mice. And when he’s hungry he will even catch four mice,” Harry said. “This is good news, right, Physicus?”
“Right, Harry!” said Physicus. “This is good news! The results tell us that as long as Pickles is exposed to three or fewer mice at one time, he should catch them all. We now have information to draw conclusions about how to solve your problem.”
Interpreting the Story
The friends learned the number of mice determined when Pickles would attack. Specifically, they found that when Pickles was exposed to less than four mice, he would catch them all. If Pickles was hungry, he would catch up to four mice in the room. If there were five or more mice in the room, Pickles would not attack at all. The friends have data to support their hypothesis that Pickles becomes overwhelmed with too many mice in the room, causing him not to catch the mice. Harry and Physicus interpreted their findings to mean that if Pickles was exposed to three or fewer mice, he would attack and catch all of the mice. The friends also know that if they want him to attack four mice at once, Pickles had better be hungry!
Data Interpretation and Findings
The Data Interpretation and Findings heading conveys the results and meaning of the data analyses. The writing in the heading reflects specific statements about the outcome of each analysis. It is a report of the results without researcher comments or conclusions. Quantitative analyses are reported numerically, while qualitative analyses are presented in words, phrases, or sentences. The heading includes tables and figures, such as graphs, to convey the results.
The Data Interpretation and Findings heading is organized by the research or guiding questions. The results are presented for the first question and then the results are interpreted appropriately. The interpretation is an explanation of what the results represent and how the results answer each question. The heading is written as a report of the “facts” and an objective interpretation of what was found. This pattern of writing is repeated for each of the remaining research or guiding questions.
telling the research story
The Data Interpretation and Findings heading is the climax of the research story. The findings are the decisive moment in the quest for answers. The outcome of the quest is revealed, and the questions are answered. The story not only reports the facts of what resulted but also the meaning of the results as it relates to the quest. The heading indicates that the quest is over and there are answers to resolve the conflict of the research story.
The Data Interpretation and Findings heading appears in Chapter 4 of the thesis and dissertation. The heading content is included in Chapter 2 of a capstone project under the heading of Empirical Evidence. The literature review does not have this heading.