Timeline for Comparing regression coefficient with same model but two distinct samples
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Oct 15, 2012 at 16:58 | answer | added | phaneron | timeline score: 1 | |
| Oct 11, 2012 at 21:32 | comment | added | whuber♦ | Ben, since the estimates are based on independent data sets, you can consider two comparable effects each to have an independent sampling distribution (which is estimable from the data). Simply compare those two distributions. For instance, if the sampling distribution is approximately normal in each case, just do a Z-test based on the estimated effect sizes and their standard errors. A little more care may be needed when testing many pairs of effects, but all the information you need will often be present in the estimates and their covariance matrices. | |
| Oct 11, 2012 at 18:37 | comment | added | Ben | Hi Whuber/Gung - I just saw these responses! Looking at the standardized coefficients would make sense. Again, apologies for the ignorance but how would one test the difference in effect sizes. I conducted a CFA and found GFI for the model was similiar. Not sure if that is relevant | |
| Oct 11, 2012 at 18:29 | comment | added | gung - Reinstate Monica | The key concept ( / keyword to search for) here is that of an interaction. Having a dummy variable coding for Thai vs. Australian will let you know if one group tends to have a higher intention to use on average; forming an interaction between that dummy and a covariate of interest will let you know if the relationship between the other IV and the DV differs b/t the groups. | |
| Oct 11, 2012 at 18:29 | comment | added | whuber♦ | Do you really want to test significance? That is as much a measure of how much data you have as it is a characterization of the data. The questions of scientific interest would focus on effect sizes (that is, the coefficients) and goodness of fit diagnostics (such as tests for interactions and nonlinear relations). BTW, welcome to our site! It's nice to see such a thoughtful, important, well-expressed question. | |
| Oct 11, 2012 at 18:04 | answer | added | Peter Flom | timeline score: 3 | |
| Oct 11, 2012 at 17:52 | review | First posts | |||
| Oct 11, 2012 at 18:30 | |||||
| Oct 11, 2012 at 17:50 | history | asked | Ben | CC BY-SA 3.0 |