Which of the following is a way to assess the predictive validity of an algebra test
Show
Posted by John Kleeman, Founder Predictive validity is how well a test score can predict scores in other metrics. The concept features in psychometrics and is used in a range of disciplines such as recruitment. Glossary of termsThis mini glossary will explain certain terms used throughout the article.
How does it work?In recruitment, predictive validity examines how appropriately a test can predict criteria such as future job performance or candidate fit. A way to do this would be with a scatter plot. In this scatter plot diagram, we have cognitive test scores on the X-axis and job performance on the Y-axis. The horizontal line would denote an ideal score for job performance and anyone on or above the line would be considered “successful”. These diagrams can tell us the following:
Other examples of predictive validity
Advantages and disadvantages of predictive validityAdvantages
Disadvantages
Concurrent validity vs predictive validityThere are multiple forms of statistical and psychometric validity with many falling under main categories. One other example is concurrent validity, which, alongside predictive validity, is grouped by criterion validity as they use specific criteria as part of their analyses. Concurrent validity examines how measures of the same type from different tests correlate with each other. The main difference between concurrent validity and predictive validity is the former focuses more on correlativity while the latter focuses on predictivity. Other forms of validity:
External validity checks how test results can be used to analyse different people at different times outside the completed test environment. Biases in predictive validityBiases can play a varying role in test results and it’s important to remove them as early as possible. By doing this, you ensure accurate results that keeps candidates safe from discrimination. An example of a bias is basing a recruitment decision on someone’s name, appearance, gender, disability, faith, or former employment. These biases can take place before or during an interview or test process and can significantly affect predictive validity. This is why personality tests aren’t always efficient for all cases. Another example of bias could be the perception that higher levels of experience correlate with innovation. This does not always match up as new and positive ideas can arise anywhere and a lack of experience could be the result of factors unrelated to one’s ability or ideology. Combating biases can be difficult but it’s an important step for the safety of test candidates and employees as well as the efficiency of a business and its workforce. ConclusionIt’s an ongoing challenge for employers to make the best choices during the recruitment process. As recruiters can never know how candidates will perform in their role, measures like predictive validity can help them choose appropriately and enhance their workforce. Questionmark’s online assessment tools can help with that by providing secure, reliable, and accurate assessment platforms and results. Book a demo today. What is an example of predictive validity?Predictive validity is the degree to which test scores accurately predict scores on a criterion measure. A conspicuous example is the degree to which college admissions test scores predict college grade point average (GPA).
What are three methods of assessing validity?There are three types of validity that we should consider: content, predictive, and construct validity.
What statistical analysis determines predictive validity?Predictive validity is typically established using correlational analyses, in which a correlation coefficient between the test of interest and the criterion assessment serves as an index measure. Multiple regression or path analyses can also be used to inform predictive validity.
What methods can be used to assess the validity and reliability?How are reliability and validity assessed? Reliability can be estimated by comparing different versions of the same measurement. Validity is harder to assess, but it can be estimated by comparing the results to other relevant data or theory.
|