Discriminant validity

What is Discriminant Validity?

Discriminant validity is a statistical concept used to show that different measures are actually measuring different variables. It is a form of construct validity that is used to demonstrate that two constructs are distinct from one another. It is used to ensure that the measures obtained from a survey or experiment are actually measuring what the researchers intended them to measure.

How to Measure Discriminant Validity

Discriminant validity is usually measured by examining the correlation between two variables. If the correlation between two variables is significantly lower than the correlation between the same two variables and their latent constructs, then the researchers can conclude that the two measures are distinct.

Examples of Discriminant Validity

Below are some examples of discriminant validity:

  • A survey that measures customer satisfaction and customer loyalty. The correlation between these two variables should be significantly lower than the correlation between customer satisfaction and its latent construct (satisfaction levels).
  • A study that measures physical activity and cognitive ability. The correlation between these two variables should be significantly lower than the correlation between physical activity and its latent construct (physical fitness).
  • A study that measures job satisfaction and job performance. The correlation between these two variables should be significantly lower than the correlation between job satisfaction and its latent construct (job satisfaction levels).

Discriminant validity is an important concept for researchers to consider when designing and conducting their studies. It is essential to ensure that the measures obtained in a study are actually measuring what the researchers intended them to measure.

Conclusion

Discriminant validity is an important concept in research. It is used to ensure that different measures are actually measuring different variables. It is important for researchers to consider discriminant validity when designing and conducting their studies to ensure that the measures they are obtaining are actually measuring what they intended them to measure. References: 1. https://www.verywellmind.com/what-is-discriminant-validity-2795071 2. https://www.socialresearchmethods.net/kb/discrimval.php 3. https://www.sciencedirect.com/topics/social-sciences/discriminant-validity