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Formally test differences in Marginal Means
Dear Thomas, thank you for developing this amazing package. It is really amazing and a true asset for practice oriented scholars.
I apologies if this is a trivial question, but do you have any suggestions on how to test if marginal means are statistically different from one another? Take the following example. Is there a way to formally test if ChosenImmigrant is statistically different by gender? Should I use a simple t.test?
> data(immigration)
> mm(immigration, ChosenImmigrant ~ Gender + Education + LanguageSkills,
+ id = ~ CaseID, h0 = 0.5)
outcome statistic feature level estimate std.error z p lower upper
1 ChosenImmigrant mm Gender Female 0.5117812 0.004176882 2.820574 4.793778e-03 0.5035947 0.5199677
2 ChosenImmigrant mm Gender Male 0.4877013 0.004353571 -2.824964 4.728592e-03 0.4791685 0.4962342
3 ChosenImmigrant mm Educational Attainment No Formal 0.3895112 0.010396937 -10.627053 2.230500e-26 0.3691336 0.4098888
4 ChosenImmigrant mm Educational Attainment 4th Grade 0.4222002 0.010291045 -7.559951 4.032206e-14 0.4020301 0.4423703
5 ChosenImmigrant mm Educational Attainment 8th Grade 0.4444444 0.010183074 -5.455676 4.878681e-08 0.4244860 0.4644029
6 ChosenImmigrant mm Educational Attainment High School 0.5075226 0.010189329 0.738279 4.603449e-01 0.4875518 0.5274933
7 ChosenImmigrant mm Educational Attainment Two-Year College 0.5655860 0.010227744 6.412561 1.430949e-10 0.5455400 0.5856320
8 ChosenImmigrant mm Educational Attainment College Degree 0.5888945 0.010268403 8.657096 4.839344e-18 0.5687688 0.6090202
9 ChosenImmigrant mm Educational Attainment Graduate Degree 0.5812686 0.010393398 7.819251 5.313867e-15 0.5608979 0.6016393
10 ChosenImmigrant mm Language Skills Fluent English 0.5875280 0.007305481 11.981136 4.461689e-33 0.5732095 0.6018464
11 ChosenImmigrant mm Language Skills Broken English 0.5261628 0.007490787 3.492662 4.782307e-04 0.5114811 0.5408445
12 ChosenImmigrant mm Language Skills Tried English but Unable 0.4592973 0.007417263 -5.487558 4.075292e-08 0.4447598 0.4738349
13 ChosenImmigrant mm Language Skills Used Interpreter 0.4243392 0.007564513 -10.002066 1.492498e-23 0.4095131 0.4391654
thanks in advance for your support
Best