1. Friday, September 19 Generating Content through Interpreting Study Data IPHY 3700 Writing Process Map

2. Process Activity: Generating Content through Interpreting Research Data Interpret the statistical significance of study data. Interpret the practical significance of study data. Record the ideas from your interpretation in goal-based notes.

3. Results from Golay et al.’s Study Golay et al.

4. Guidelines for Interpreting Statistical and Practical Significance  A P value is the probability of obtaining your study's result (or a more extreme result) under the assumption that the null hypothesis is true. In other words, a P value is the probability of obtaining your study's result (or a more extreme result) by chance.  P values are strongly influenced by sample size and the variability of individual data points. As sample size increases and variability decreases, P values decrease; so, in these conditions the probability of obtaining statistically significant results increases.  P values never indicate the practical significance of study data; so, small P values never indicate great "importance" of study data.  Study data may be statistically significant but practically insignificant.  Study data that are not statistically significant (e.g., P >.05) can sometimes be practically significant.  To interpret the practical significance of study data you have to know your science and your math! Handout: A Brief Explanation of P Values

5. Interpret Golay et al.’s Results Golay et al.

6. Conversions of Golay et al.’s Results 15% CHO45% CHO BeforeAfterBeforeAfter Glucose (mg/dL)95.479.297.290.0 Insulin (pmol/L)106.857.696.088.2 Total Cholesterol (mg/dL) 222.3175.5237.9206.7 HDL Cholesterol (mg/dL) 42.935.142.939.0 Triacylglycerol (mg/dL) 151.3124.6195.8160.2 To convert mmol/L of glucose to mg/dL, multiply by 18 To convert mmol/L of cholesterol to mg/dL, multiply by 39 To convert mmol/L of triacylglycerol to mg/dL, multiply by 89

7. Interpret Johnston et al.’s ResultsJohnston et al.’s The thermic effect was significantly greater for the high-protein meal versus the high- carbohydrate meal at breakfast and dinner.

8. Interpret Latner & Schwartz’s (1999) ResultsLatner & Schwartz’s