Variables may be controlled directly by holding them constant throughout a study (e.g., by controlling the room temperature in an experiment), or they may be controlled indirectly through methods like randomization or statistical control (e.g., to account for participant characteristics like age in statistical tests).
Q. What is the variable that is manipulated by the experimenter during an experiment called?
independent variable
Table of Contents
- Q. What is the variable that is manipulated by the experimenter during an experiment called?
- Q. What is one shortcoming of the idea that pairing an image of an athlete?
- Q. How do you control a confounding variable?
- Q. How do you control a confounding variable in a cohort study?
- Q. How do you control a confounding variable in logistic regression?
- Q. How do confounding variables affect a research study?
- Q. How experimental is handled or manipulated?
Q. What is one shortcoming of the idea that pairing an image of an athlete?
What is one shortcoming of the idea that pairing an image of an athlete with a product will build a positive image for the product? The actual result depends on whether people have a positive response to the athlete.
Q. How do you control a confounding variable?
There are various ways to modify a study design to actively exclude or control confounding variables (3) including Randomization, Restriction and Matching. In randomization the random assignment of study subjects to exposure categories to breaking any links between exposure and confounders.
Q. How do you control a confounding variable in a cohort study?
Strategies to reduce confounding are:
- randomization (aim is random distribution of confounders between study groups)
- restriction (restrict entry to study of individuals with confounding factors – risks bias in itself)
- matching (of individuals or groups, aim for equal distribution of confounders)
Q. How do you control a confounding variable in logistic regression?
It states that when the Odds Ratio (OR) changes by 10% or more upon including a confounder in your model, the confounder must be controlled for by leaving it in the model. If a 10% change in OR is not observed, you can remove the variable from your model, as it does not need to be controlled for.
Q. How do confounding variables affect a research study?
Confounding variables are common in research and can affect the outcome of your study. This is because the external influence from the confounding variable or third factor can ruin your research outcome and produce useless results by suggesting a non-existent connection between variables.
Q. How experimental is handled or manipulated?
The second fundamental feature of an experiment is that the researcher exerts control over, or minimizes the variability in, variables other than the independent and dependent variable. They manipulate the independent variable by systematically changing its levels and control other variables by holding them constant.
