A person who is new to data science or statistics may wonder, “What is a predictive validity study?” This type of study may be done as a way to determine the validity of some other test. It is widely used across many areas of research and expertise, and understanding what this is could help a student do well in their classes or a professional to master an essential skill for their job.
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What a Predictive Validity Study Entails
A predictive validity study entails determining how well a certain measure, metric or statistic can predict future behavior. It is a type of criterion study. This is an examination of how one variable is able to predict an outcome based on the information that is provided by other variables. It is important that all of the information is collected in an objective manner and using the same measurement standards. Biases or differences in measurement tools could affect a predictive validity study.
Purpose of a Predictive Validity Study
The purpose of a predictive validity study is to find out if another measurement is any good at predicting an outcome. If that other test or measurement is found to not be useful at predicting an outcome, then an organization, agency or company may want to look for a different metric or statistic that does have a high predictive value. Because researchers have a limited amount of time and other resources, they have to use them wisely. The predictive validity study can give them evidence as to whether or not the time spent measuring certain criteria has been worthwhile.
How a Predictive Validity Study Is Used
Predictive validity studies are used to predict future behavior, explains Statistics How To. They may be applied to real-world or simulated situations. In the best of circumstances, they are done in a prospective manner. This means that they take a long time to complete. Predictive validity studies also require a large sample size. The large sample size could be difficult to obtain in some cases, which is part of the reason why it can take a long time to complete a predictive validity study.
Examples of Predictive Validity Studies
When a predictive validity study is conducted in the real world, it is done with a goal in mind. One example would be in college admissions offices. The admissions officer would look at a student’s high school grades and grade point average in order to predict the student’s success in college. Upon college graduation, the admissions team could review all of the data and find out if the people with good high school grades graduated from college on time and whether or not they earned high-grade point averages during their college studies. Admissions officers could also do this type of study with tests such as the Scholastic Aptitude Test (SAT).
Understanding what a predictive validity study is could help a person advance their career. The proper use of one of these studies could also strengthen the results of a research study or provide evidence-based justification for the use of specific metrics when analyzing applicants or certain tests. Knowing the answer to the question, “What is a predictive validity study?” is an important step for anyone studying statistics or who will use statistics in their work.