I’m a crossfit athlete and can perform with the utmost intensity.For every one hour increase per week in exercise, how much additional weight loss do I expect? I’m moderately fit and can put in an average level of effort into my workout.How many hours per week of exercise do I need to put in to lose 5 pounds? I’m just starting out and don’t want to put in too much effort.You know that hours spent exercising improves weight loss, but how does it interact with effort? Here are three questions you can ask based on hypothetical scenarios. This is popular in workouts like high intensity interval training (HIIT). The more effort people put into their workouts, the less time they need to spend exercising. Upon further analysis you notice that those who spend the same amount of time exercising lose more weight if they are more effortful. Suppose you are doing a simple study on weight loss and notice that people who spend more time exercising lose more weight. (Bonus) Three-way interactions Stata Do File: threeway-interactions.do.(Bonus) Three-way interactions PowerPoint slides: three-way interactions.pptx.Part 2 + Lab PowerPoint slides as a PDF: interactions_stata_lab.pdf.Part 2 + Lab PowerPoint slides: interactions_stata_lab.pptx.PowerPoint slides as a PDF: interactions_stata.pdf.PowerPoint slides: interactions_stata.pptx.
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Label define progl 1 "jog" 2 "swim" 3 "read" label define genderl 1 "male" 2 "female" label values prog progl label values gender genderl Download links You can also import the data directly into Stata via the URL using the following code: Requirementsīefore beginning the seminar, please make sure you have Stata installed. The dataset used in the seminar can be found here as a Stata file exercise.dta or as a CSV file exercise.csv. This seminar page was inspired by Analyzing and Visualizing Interactions in SAS and parallels Decomposing, Probing, and Plotting Interactions in R. Plotting the categorical by categorical interaction.Simple effects in a categorical by categorical interaction.Plotting the continuous by categorical interaction.
(Optional) Flipping the moderator (MV) and the independent variable (IV).Obtaining simple slopes by each level of the categorical moderator.Interpreting the coefficients of the continuous by categorical interaction.(Optional) Manually calculating the simple slopes.Testing differences in predicted values at a particular level of the moderator.Testing simple slopes in a continuous by continuous model.
Is there a difference in the relationship of X on Y for different values of W? (comparing simple slopes).What is relationship of X on Y at particular values of W? (simple slopes/effects).What is the predicted Y given a particular X and W? (predicted value).We can probe or decompose each of these interactions by asking the following research questions: Throughout the seminar, we will be covering the following types of interactions: This page is based off of the seminar Decomposing, Probing, and Plotting Interactions in R.
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This seminar will show you how to decompose, probe, and plot two-way interactions in linear regression using the margins command in Stata.
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