Hi everyone,
Could I please ask a question about conservative solution and parsimonious solution?
This is the result that I produced- see below and also attached (the first sol_ny is the conservative solution for the negated outcome; the 2nd sol_nyp is the parsimonious solution for the negated outcome )
My question is: 1. Does it look normal to you? The parsimonious solutions look more complicated to me (3 solutions), compared to the conservative solution (1 solution). But the combinations of conditions are simpler.
2. will you tend to use the conservative solution or parsimonious solution? why (if they all make sense theoretically due to the lack enough evidence in theoretically).
Thank you
Kind regards
Sarah
> sol_ny <- minimize(TT_ny,
+ details = TRUE,
+ use.tilde = TRUE)
> sol_ny
M1: ~comp*~selec*~track*~inequa*~edmat + ~selec*~track*~inequa*edmat*~privat + comp*selec*~track*inequa*~edmat*~privat -> ~segr
inclS PRI covS covU cases
----------------------------------------------------------------------------------------
1 ~comp*~selec*~track*~inequa*~edmat 1.000 1.000 0.334 0.224 FIN,NOR,SWE; DNK
2 ~selec*~track*~inequa*edmat*~privat 1.000 1.000 0.200 0.200 ISL; IRL
3 comp*selec*~track*inequa*~edmat*~privat 1.000 1.000 0.177 0.067 KOR
----------------------------------------------------------------------------------------
M1 1.000 1.000 0.601
> sol_nyp <- minimize(TT_ny,
+ details = TRUE,
+ include = "?",
+ use.tilde = TRUE,
+ row.dom = TRUE)
> sol_nyp
M1: ~selec*~inequa + (comp*selec*inequa*~edmat) -> ~segr
M2: ~selec*~inequa + (comp*~track*~edmat*~privat) -> ~segr
M3: ~selec*~inequa + (comp*inequa*~edmat*~privat) -> ~segr
--------------------------
inclS PRI covS covU (M1) (M2) (M3) cases
----------------------------------------------------------------------------------------------------------
1 ~selec*~inequa 1.000 1.000 0.777 0.490 0.534 0.600 0.534 FIN,NOR,SWE; DNK; ISL; IRL
----------------------------------------------------------------------------------------------------------
2 comp*selec*inequa*~edmat 0.929 0.507 0.288 0.000 0.045 KOR
3 comp*~track*~edmat*~privat 1.000 1.000 0.222 0.000 0.045 KOR
4 comp*inequa*~edmat*~privat 1.000 1.000 0.288 0.000 0.045 KOR
----------------------------------------------------------------------------------------------------------
M1 0.974 0.918 0.822
M2 1.000 1.000 0.822
M3 1.000 1.000 0.822