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sample size estimates

Member Training: The Fundamentals of Sample Size Calculations

by Karen Grace-Martin  3 Comments

Sample size estimates are one of those data analysis tasks that look straightforward, but once you try to do one, make you want to bang your head against the computer in frustration. Or, maybe that’s just me.

Regardless of how they make you feel, they are super important to do for your study before you collect the data.

[Read more…] about Member Training: The Fundamentals of Sample Size Calculations

Tagged With: accuracy, data collection, effect size, sample size, sample size estimates, scientific interest, testing

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Sample Size Estimation Without Past Reliable Pilot Data or Evidence

by Karen Grace-Martin  1 Comment

Here’s a common situation.

Your grant application or committee requires sample size estimates.  It’s not the calculations that are hard (though they can be), it’s getting the information to fill into the calculations.

Every article you read on it says you need to either use pilot data or another similar study as a basis for the values to enter into the software.

You have neither.

No similar studies have ever used the scale you’re using for the dependent variable.

And while you’d love to run a pilot study, it’s just not possible.  There are too many practical constraints — time, money, distance, ethics.

What do you do?

[Read more…] about Sample Size Estimation Without Past Reliable Pilot Data or Evidence

Tagged With: effect size, Power Analysis, sample size estimates, standardized effect size

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Two Types of Effect Size Statistic: Standardized and Unstandardized

by Karen Grace-Martin  Leave a Comment

Effect size statistics are all the rage these days.

Journal editors are demanding them. Committees won’t pass dissertations without them.

But the reason to compute them is not just that someone wants them — they can truly help you understand your data analysis.

What Is an Effect Size Statistic?

When many of us hear “Effect Size Statistic,” we immediately think we need one of a few statistics: Eta-squared, Cohen’s d, R-squared.
And yes, these definitely qualify. But the concept of an effect size statistic is actually much broader. Here’s a description from a nice article on effect size statistics:

“… information about the magnitude and direction of the difference between two groups or the relationship between two variables.”

– Joseph A. Durlak, “How to Select, Calculate, and Interpret Effect Sizes”

If you think about it, many familiar statistics fit this description. Regression coefficients give information about the magnitude and direction of the relationship between two variables. So do correlation coefficients. [Read more…] about Two Types of Effect Size Statistic: Standardized and Unstandardized

Tagged With: Cohen's d, effect size statistics, Eta Squared, power calculation, R-squared, sample size estimates

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  • A Comparison of Effect Size Statistics
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  • The Effect Size: The Most Difficult Step in Calculating Sample Size Estimates

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