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Comment: If I understand preorply, you can do an independent two-sample t-test for difference in means for the urban vs rural times (as long as you have a standard deviation) to determine if the time spent is
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| If I understand preorply, you can do an independent two-sample t-test for difference in means for the urban vs rural times (as long as you have a standard deviation) to determine if the time spent is significantly different, but that doesn't tell you if or how the effect varies with time spent.If there is no significant difference, presumably the difference in time probably doesn't matter. However, urban vs rural might still make a difference for other (unknown) reasons.The dependent variable is moral development (I don't know what SRMS might mean). The (possible) independent variables are the others age, gender, and region. Assuming region means urban vs rural, then it is a dummy variable whose value is 0 or 1. Likewise, gender is a dummy variable whose value is 0/1.You can then do regressions which will describe moral development as a function (largely) of age, and whether or not gender or region make any difference. Differences in gender will show up (or not) as different y-intercepts in the regression lines.References : | 2XAG3D <a href="http://nmajgsxfhhwc.com/">nmajgsxfhhwc</a> |
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None: FAQ/Escomp (last edited 2019-08-07 11:15:37 by PeterWatson)