“P-Value”? What’s a “P-Value”?

And why should you care?

Associations generate a lot of original research, but association execs also use a lot of research created by other entities both to assess the internal operations of the association as a tax-exempt business and to understand what’s happening in the industry or profession the association serves.

And let’s face it: Lots of research terms are pretty jargon-y. P-values and margin of error and confidence interval and representative versus purposeful samples, oh my!

It’s easy to find yourself glazing over in the methods section of the study you’ve chosen, ignoring it all together, or just deciding not to worry about what it reports.

That would be a mistake.

All those things directly affect the validity of the study and the results presented, results which we use every day to make decisions for our associations and the professions and industries we serve.

Quoting the new Spark collaborative whitepaper Caveat Emptor: Becoming a Responsible Consumer of Research:

Good research does not guarantee good decisions, but it certainly helps. And bad research, barring getting lucky and guessing right, almost inevitably leads to bad decisions.

We want you to have everything you need to make good decisions, so in Caveat Emptor, my co-author Polly Karpowicz and I provide plain English explanations of key terms in research design so that you can build your information literacy muscles and choose wisely what research you will – and won’t – trust.

Get your free copy at https://bit.ly/3SYJiAO, no divulging of information about yourself required.

 

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