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The Threats To Statistical Conclusion Validity - Measurement Error Video

In this video, I talk about measure error which is a statistical conclusion validity problem. Threats to statistical conclusion validity occurs when when draws inferences based on statistical tests and the statistical tests are misrepresenting the actual causal relationship.

Measurement error is quite common in the social sciences as we measure imperfect constructs. We often do not have a good understanding of the construct itself, and then you compound on top of that items that do not measure the construct well, and you can have problems with statistical conclusion validity.

Measurement error reduces the relationship between the variables of interest.

To reduce measurement error and to improve the statistical conclusion validity, I would suggest the following:

1. Keep constructs simple. Don’t force constructs.
2. Measure constructs in multiple ways, both with more methods and more items within each method.
3. Think in terms of ideal ways to test.
4. “Measure twice, cut once.”

Check out:


Range Restriction: Why It is Important For Statistical Conclusion Validity - Nerd-out Wednesday
https://youtu.be/tF-kp4GQJLk

Dealing With Low Statistical Power - Threat To Statistical Conclusion Validity - Nerd-Out Wednesday
https://youtu.be/JRV9hdPssWA

What Is The Average Effect? - Words In Science - Nerd-Out Wednesday
https://youtu.be/ZV0H5VEp0sQ

What Is Regression? Words In Science - Nerd-Out Wednesdays
https://youtu.be/IRxn7tBC3uk

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David is a research professor of entrepreneurship, innovation, and business strategy, I discuss topics, such as behavioral science, strategy, innovation, and entrepreneurship, and apply these to my new peer proofreading and editing platform. Topics include the sharing economy, altruism, investing in technology, and bounded rationality. My favorite videos pertain to incentives, goal setting, and learning from failure to drive behaviors such as weight loss, stopping telemarketers, creating novel technologies, and creating new movements.

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