Table 1.
MSEM | Descriptions | Questions to address |
---|---|---|
Model 1 | The cusp-inspired MSEM in Eqs 11–12, with and to prevent cases in the low-β regime from moving into the high and low regimes. | |
Model 2 | Same specifications as Model 1, with the exceptions that the values of , , and were all freely estimated. | Q1: Can the MSEM be used to detect the unique transition patterns of the cusp system? What proportion of MC replications shows significant LRT results in comparing Model 1 to Model 2? |
Model 3 | A 2-regime model with no explicit constraint. | Q2: Can IC measures detect the existence of 3 regimes? |
Model 4 | Same specifications as Model 2, with the exception that bβ,high = bβ,low in Eq (11). | Q3: Can evidence of bifurcation be detected? What proportion of MC replications shows significant LRT results comparing Model 2 to Model 4? |
Model 5–Model 8 | Identical to Models 1–4, respectively, but β was latent; membership in the high- vs. low-β regime was unknown. | Relative differences in performance between Models 1–4 (with known β membership) compared to Models 5–8. |
MSEM-RS | ||
Model 1 | The cusp-inspired MSEM-RS described in Eqs 11 (with time index to denote repeated measurements), 13 and 14 | |
Model 2 | Less restrictive 3-R model: same specifications as MSEM-RS Model 1, with the exception that bα,high,low = bα,med in Eq (11). | Q4: Can the differential effects of α on yit be detected? What proportion of MC replications shows significant LRT results in comparing MSEM-RS Model 1 to 2? |
Model 3 | The longitudinal analog of the 2-regime MSEM Model 3 | Q5: Can IC measures detect the higher-order Markov dependency on Ci0? |
Model 4 | The longitudinal analog of MSEM Model 4, with bβ,high = bβ,low in Eq. (11). | Q6: Can evidence of bifurcation be detected? What proportion of MC replications shows significant LRT results comparing Model 1 to Model 4? |
Model 5–Model 8 | Identical to Models 1–4, respectively, but β was latent; membership in the high- vs. low-β regime was unknown. | Relative differences in performance between Models 1–4 compared to Models 5–8 when longitudinal data are used. |