# What does it mean to say that a particular test has high predictive validity?

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## What does a high predictive validity mean?

The stronger the correlation between the assessment data and the target behavior, the higher the degree of predictive validity the assessment possesses. Conversely, a weak correlation between the assessment data and the target behavior indicates low levels of predictive validity. 4:40.

## What is predictive validity of a test?

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).

## How can you tell if a test has good predictive validity?

There is no specific value that is considered to be a “high” correlation between two variables. However, the higher the correlation between a test and the construct it sets out to measure, the higher the predictive validity of the test.

## What is predictive validity example?

Predictive validity is the extent to which performance on a test is related to later performance that the test was designed to predict. For example, the SAT test is taken by high school students to predict their future performance in college (namely, their college GPA).

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## What is an example of discriminant validity?

A determination along the latter lines is referred to as discriminant validity (de Vet et al., 2011; Streiner et al., 2015). For example, a performance-based measure of walking should be positively correlated with self-reported ability to walk a block.

## What are the three main types of evidence on validity that a researcher might collect?

Validity evidence can be classified into three basic categories: content-related evidence, criterion-related evidence, and evidence related to reliability and dimensional structure. Most test score uses require some evidence from all three categories.

## How do you know if a study is internally valid?

How to check whether your study has internal validity

1. Your treatment and response variables change together.