Repeated measures ANOVA post hoc testing Bonferroni correction

Hi, I am using a repeated measures ANOVA, and I would like to use the multcompare function to do Bonferroni correction.

When I use the default Tukey's HSD it works

multcompare(rm,'instruction')

ans =

  2×7 table

    instruction_1    instruction_2    Difference    StdErr      pValue      Lower      Upper  
    _____________    _____________    __________    _______    ________    _______    ________

          1                2            2.0082      0.85855    0.029293    0.22279      3.7937
          2                1           -2.0082      0.85855    0.029293    -3.7937    -0.22279

But when I try to use the bonferroni correction it doesn't

          multcompare(rm,'instruction',"CriticalValueType","bonferroni")
Error using internal.stats.parseArgs
Invalid parameter name: CriticalValueType.

Error in RepeatedMeasuresModel/multcompare (line 1132)
                internal.stats.parseArgs(okargs,defaults,varargin{:});

I'm not sure what the issue with my syntax is- please help!

[Rik]

Well, your original code already results in an error for me. Without your initial code working, it is not possible to say why your second doesn't work.

load carsmall
[p,t,stats] = anova1(MPG,Origin);clc,close all
multcompare(stats,'instruction')

Error using internal.stats.parseArgs
Wrong number of arguments.

Error in multcompare (line 121)
internal.stats.parseArgs(okargs,defaults,varargin{:});

Answer 1

[Koen van der Laan]

Hello,

I recently experienced the same problem and found a answer. you need to use 'ComparisonType' to set the correction method when using a repeated measures model as input for 'multcompare'.

see this page:

https://nl.mathworks.com/help/stats/repeatedmeasuresmodel.multcompare.html#namevaluepairarguments