How does confounding affect the validity of the study?
To ensure the internal validity of your research, you must account for confounding variables. Even if you correctly identify a cause-and-effect relationship, confounding variables can result in over- or underestimating the impact of your independent variable on your dependent variable.
How does confounding variable affect the validity of the study Brainly?
Answer: If other confounding variables are present, that it, if there are differences between the groups other than the differences in the independent variable, this causal explanation is destroyed. Explanation: Cause the confounding variable causes problems, increases variance and Introduce bias.
What is confounding variable Brainly?
Answer: A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results.
How do confounding variables affect internal validity?
The less chance there is for “confounding” in a study, the higher the internal validity and the more confident we can be in the findings. Confounding refers to a situation in which other factors come into play that confuses the outcome of a study.
How do you measure external validity of a study?
Results External validity refers to the question whether results are generalizable to persons other than the population in the original study. The only formal way to establish the external validity would be to repeat the study for that specific target population.১৬ এপ্রিল, ২০০৯
What is an example of ecological validity?
For example, in a simulator assessment of driving, a study in which a participant drove with a steering wheel would have more ecological validity than one in which the participant drove by moving the cursor of a computer with a mouse.
What is the importance of validity in questionnaire development?
Validity is important because it determines what survey questions to use, and helps ensure that researchers are using questions that truly measure the issues of importance. The validity of a survey is considered to be the degree to which it measures what it claims to measure.