Download - Friday, September 19
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Friday, September 19
• Generating Content through Interpreting Study Data
IPHY 3700 Writing Process Map
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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.
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Results from Golay et al.’s Study
Golay et al.
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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
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Interpret Golay et al.’s Results
Golay et al.
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Conversions of Golay et al.’s Results
15% CHO 45% CHO
Before After Before After
Glucose (mg/dL) 95.4 79.2 97.2 90.0
Insulin (pmol/L) 106.8 57.6 96.0 88.2
Total Cholesterol (mg/dL)
222.3 175.5 237.9 206.7
HDL Cholesterol (mg/dL)
42.9 35.1 42.9 39.0
Triacylglycerol (mg/dL)
151.3 124.6 195.8 160.2
To convert mmol/L of glucose to mg/dL, multiply by 18To convert mmol/L of cholesterol to mg/dL, multiply by 39To convert mmol/L of triacylglycerol to mg/dL, multiply by 89
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Interpret Johnston et al.’s Results
The thermic effect was significantly greater for the high-protein meal versus the high-carbohydrate meal at breakfast and dinner.
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Interpret Latner & Schwartz’s (1999) Results