What is the best correction for multiple comparisons?

The most conservative of corrections, the Bonferroni correction is also perhaps the most straightforward in its approach. Simply divide α by the number of tests (m). However, with many tests, α* will become very small. This reduces power, which means that we are very unlikely to make any true discoveries.

What is the command for multiple comparisons in SPSS?

POSTHOC produces post hoc tests for comparisons of all possible pairs of group means or multiple comparisons.

How do you correct multiple comparisons ANOVA?

To correct for multiple comparisons of the main ANOVA P values in Prism, you should copy all the P values from the ANOVA results table and paste into one column of a Column table. If you did a three-way ANOVA, you would copy-paste seven P values into one new column.

Should I correct for multiple comparisons?

Some statisticians recommend never correcting for multiple comparisons while analyzing data (1,2). Instead report all of the individual P values and confidence intervals, and make it clear that no mathematical correction was made for multiple comparisons. This approach requires that all comparisons be reported.

Does Bonferroni adjustment for multiple comparisons?

The Bonferroni test is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously. The reason is that while a given alpha value may be appropriate for each individual comparison, it is not appropriate for the set of all comparisons.

How do you compare three variables in SPSS?

Running the Procedure

  1. Open Compare Means (Analyze > Compare Means > Means).
  2. Double-click on variable MileMinDur to move it to the Dependent List area.
  3. Click Options to open the Means: Options window, where you can select what statistics you want to see.
  4. Click OK.

How do you correct p-values for multiple comparisons?

The simplest way to adjust your P values is to use the conservative Bonferroni correction method which multiplies the raw P values by the number of tests m (i.e. length of the vector P_values).

How do you do a Bonferroni correction?

To perform the correction, simply divide the original alpha level (most like set to 0.05) by the number of tests being performed. The output from the equation is a Bonferroni-corrected p value which will be the new threshold that needs to be reached for a single test to be classed as significant.

Can you do multiple Anovas?

Multivariate ANOVA (MANOVA) extends the capabilities of analysis of variance (ANOVA) by assessing multiple dependent variables simultaneously. ANOVA statistically tests the differences between three or more group means.