In MANOVA, main effects and interaction are assessed on multiple dependent variables (DVs). True or False
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In MANOVA, main effects and interaction are assessed on multiple dependent variables (DVs).
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- Does the presence of a significant interaction change the interpretation of significant main effects? Provide one example including a minimum of two independent variables.what is the dependent variable that was considered in the analysis? do you think the dependent variable was chosen reasonably? why?Is the dependent variable is always dependent to the independent variable(s) of the study? Why?
- A researcher is interested in examining whether doctors are as accurate at diagnosing certain illnesses via telehealth as they are in person. She randomly assigns a sample of doctors to either see patients via telehealth or in person, and assesses their diagnostic accuracy. What is the dependent variable?When an interaction term is statistically significant, you must be cautious in interpreting the main effects. True or False?In an ABA design, the second stage is used to: reduce the chance that fatigue effects will occur manipulate the independent variable measure the effect of the dependent variable establish a baseline
- What is Interaction and simple effects?What is the dependent variable for a toothpaste manufacturer claims that children brushing their teeth daily with his company’s product (Brand A) will have fewer cavities than children using Brand X. In a carefully supervised study, the number of cavities in a sample of children using brand A toothpaste was compared with the number of cavities among children using Brand X.Determine the test statistic for the interaction effect.
- If the regression line is not a "good fit" what would be better to use to approximate a response variable?when a regression is used as a method of predicting dependent variables from one or more independent variables. How are the independent variables different from each other yet related to the dependent variable?Show that an interaction term of a dummy variable and a regressor changes the slope of a regression line..