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Friday, September 19

Friday, September 19. Generating Content through Interpreting Study Data. IPHY 3700 Writing Process Map. Process Activity: Generating Content through Interpreting Research Data. Interpret the statistical significance of study data. Interpret the practical significance of study data.

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Friday, September 19

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  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 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

  7. 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.

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

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