- Thread starter schlorfy
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I understand your answer, but what in the results of the ANOVA could mean "the effect of gender on reaction time was lowered between T1 and T2" ?

The results of the ANOVA you suggested would not mean : "the time effect on reaction time was different in male and female" ?

What I would like is to be able to say "The effect of age on RT was X at T1 and it was Y at T2", if y is lower than X then the effect is lowered in T2 compared to T1.

Do you get what I mean ?

Thanks so much again

Whether this effect (the difference between men and women) changes between t1 and t2,

is represented by the time*gender interaction. At the same time, this interaction means that

the difference between t1 and t2 is different for men than for women.

If the interaction is statistically significant, you can have a look at descriptive statistics or at

the graphs, in order to determine the nature of the interaction (e.g. whether the difference

between men and women becomes smaller with time, or larger, or even reverses).

Accordingly, you can use a continuous predictor such as age, and use the age*time interaction

in order to test whther the association between age and outcome is different at t1 than at t2.

With kind regards

Karabiner

I know that I can compare male at t1 versus male at t2 versus female at t1 versus female at t2 (in posthoc of the ANOVA). What I seem to get is that male and female are different both at T1 and at T2, but it seems that the gender gap is reduced.

THe estimated at effects of "gender" are significant at both times, but it seems the values of that effect is way smaller at T2.

Thank you so much for helping

Now my question would be : How to statistically show that the difference at T1 is different than the difference at T2 ?

With kind regards

Karabiner

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