Hi everyone,
I conducted an experiment where 2 parameters (alpha, beta) using 6 different methods were estimated for each participant (number of participants 300). The final values of these parameters are their mean values (e.g. mean_alpha and mean_beta estimated by method 1, mean_alpha and mean_delta estimated by methd 2, ect.). The same survey with the same participants was repeated after one month to see if the results are time-consistent. This time only 250 participants out of the 300 participated. I am not sure about two issues:
2. to check if there is a difference between the methods in estimating the parameters alpha and beta with different methods, I conducted a paired ttest (ttest mean_alpha1== mean_alpha2) separately for data in period1 and separately in period2.
The idea is to get the same values for the 2 parameters using the 6 methods, so there should be no difference in estimating alpha and beta with respect to the method.
Now I have to check if the parameters estimated by the six methods are different after one month for each participant. I thought to use difference-in-difference, but I am not sure if this would be appropriate. If yes, would the code then be:
didregress (mean_alpha_period1) (method)
Thanks.
I conducted an experiment where 2 parameters (alpha, beta) using 6 different methods were estimated for each participant (number of participants 300). The final values of these parameters are their mean values (e.g. mean_alpha and mean_beta estimated by method 1, mean_alpha and mean_delta estimated by methd 2, ect.). The same survey with the same participants was repeated after one month to see if the results are time-consistent. This time only 250 participants out of the 300 participated. I am not sure about two issues:
- the best way to present the data of each participant in time period 1 and time period 2.
| User | Method | Mean_alpha_period1 | Mean_beta_period1 | Mean_alpha_period2 | Mean_beta_period2 |
| 1 | 1 | 1.05 | 0.88 | 0.77 | 1.21 |
| 1 | 2 | 1.60 | 1.24 | 0.62 | 1.03 |
| 1 | 3 | 0.9 | 1.10 | 0.83 | 0.72 |
The idea is to get the same values for the 2 parameters using the 6 methods, so there should be no difference in estimating alpha and beta with respect to the method.
Now I have to check if the parameters estimated by the six methods are different after one month for each participant. I thought to use difference-in-difference, but I am not sure if this would be appropriate. If yes, would the code then be:
didregress (mean_alpha_period1) (method)
Thanks.
