Statistics How To

How to Calculate the Least Significant Difference (LSD)

Hypothesis Testing > How to Calculate the Least significant Difference

Watch the video or read the steps below:

How to Calculate the Least Significant Difference (LSD): Overview

When you run an ANOVA (Analysis of Variance) test and get a significant result, that means at least one of the groups tested differs from the other groups. However, you can’t tell from the ANOVA test which group differs. In order to address this, Fisher developed the least significant difference test in 1935, which is only used when you reject the null hypothesis as a result of your hypothesis test results. The LSD calculates the smallest significant between two means as if a test had been run on those two means (as opposed to all of the groups together). This enables you to make direct comparisons between two means from two individual groups. Any difference larger than the LSD is considered a significant result.

Least Significant Difference (LSD): Formula

The formula for the least significant difference is:
fishers lsd
t = critical value from the t-distribution table
MSw = mean square within, obtained from the results of your ANOVA test
n = number of scores used to calculate the means

How to Calculate the Least Significant Difference (LSD): Sample Problem

Sample problem: Calculate the Least Significant Difference for the difference between two means on Group 1 and Group 2 with the following test results:

Step 1: Find the t-critical value. The t-critical value for α=0.05, dfw = 36 is 2.028 (I used the TI-83 calculator to find a t-distribution value). Make sure you are using the Within groups DF from your results!

Step 2: Insert the given values, the MSE from your results (I used 26.65 from Within groups on the above table) the t-distribution value from Step 2 into the least significant difference formula:
LSD = 2.028 √ (26.65 * (2/10)) = 4.68.
Put this number aside for a moment,

Step 3: Calculate ybar1-ybar2 from the results. For this example, we get -8.7.

Step 4: Compare Step 2 and Step 3. If |ybar1-ybar2| ≥ LSD1,2 then you can reject the null hypothesis that the means are the same (H01 = μ2). Our value of 8.7 is larger than 4.68 so we can reject the null hypothesis.

That’s it!

Tip: The LSD will only make sense if you have a significant result from ANOVA (i.e. if you reject the null hypothesis). Therefore, you shouldn’t run the test if you do not get a significant result from ANOVA.

How to Calculate the Least Significant Difference (LSD) was last modified: November 15th, 2016 by Andale

16 thoughts on “How to Calculate the Least Significant Difference (LSD)

  1. Serah Kiano

    I need more examples for clarification if you could simply write it in
    other way around.


  2. Andale Post author

    Hello, Serah,
    Could you clarify what you mean by “write it in
    other way around.”? An example would help.

  3. Andale Post author

    I’d be happy to add another example when I update the article :)
    What did you need clarified?

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