SRLE

AcronymDefinition
SRLESurvey of Recent Life Experiences
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Based on (14), the respective bias vector, dispersion matrix, and MSEM of the MRE, SRRE, SRAURE, SRLE, SRAULE, SRPCRE, SRrk, and SRrd can easily be obtained and are given in Table B1 in Appendix B.
Note that the predictors based on the MRE, SRRE, SRAURE, SRLE, SRAULE, SRPCRE, SRrk, and SRrd are denoted by [mathematical expression not reproducible], and [[??].sub.SRrd], respectively.
Table B2 shows the estimated SMSE values of MRE, SRRE, SRAURE, SRLE, SRAULE, SRPCRE, SRrk, and SRrd for the regression model when (l, p) = (4, 0), (l, p) = (3, 1), and (l, p) = (2, 2) with respect to shrinkage parameters (k/d), where I denotes the number of variables in the model and p denotes the number ofmisspecified variables.
From Table B2, we can observe that the MRE is superior to the other estimators when (l, p) = (4, 0) and SRAULE, SRRE, SRLE, and SRAURE outperform the other estimators for (k/d) < 0.2, 0.2 [less than or equal to] (k/d) < 0.5, 0.5 [less than or equal to] (k/d) < 0.7, and (k/d) [greater than or equal to] 0.7, respectively, when (I, p) = (3,1).
From Table B3, we further observe that predictors based on SRLE and SRRE outperform the other predictors for (k/d) < 0.5 and (k/d) [greater than or equal to] 0.5, respectively, when (l, p) = (4, 0) and (l, p) = (3, 1), and predictors based on SRrd and SRrk are superior to the other predictors for (k/d) < 0.5 and (k/d) [greater than or equal to] 0.5, respectively, when (l, p) = (2, 2).
Further, SRLE and SRRE are superior to the other estimators for (k/d) < 0.5 and (k/d) [greater than or equal to] 0.5, respectively, when (l, p) = (3, 2) under [rho] = 0.9.
Similarly, SRAULE, SRRE, SRLE, and SRAURE are superior to the other estimators when (k/d) < 0.2, 0.2 [less than or equal to] (k/d) < 0.5, 0.5 [less than or equal to] (k/d) < 0.7, and (k/d) [greater than or equal to] 0.7, respectively, when (l, p) = (4, 1), and both SRLE and SRRE outperform the other estimators for (k/d) < 0.5 and (k/d) [greater than or equal to] 0.5, respectively, when (l, p) = (3, 2) and [rho] = 0.99.
The results in Table B6 indicate that MRE is superior to the other estimators when (l, p) = (5, 0), and SRAULE, SRRE, SRLE, and SRAURE outperform the other estimators for (k/d) < 0.2, 0.2 [less than or equal to] (k/d) < 0.5, 0.5 [less than or equal to] (k/d) < 0.7, and (k/d) [greater than or equal to] 0.7, respectively, when (I, p) = (4,1).
To do so, we created a score for the difference between distress experienced pre and post (SCL90R), and did the same for the rest of the study's psychological variables: daily stress (SRLE), negative mood (PANASNEG), and rumination (ECQ).
Table 2 Results of the Perceived Stress Questionnaire (SRLE) M SD N df F p d * Changes Pre .70 .36 29 100% Post .58 .24 29 2-40 3.044 .073 .39 82% Follow-up .54 .30 27 77% * Cohen's d value results from comparing the follow-up with the pre value.
Para ello se realizaron analisis de regresion multiple utilizando como predictores la escala de finanzas (SRLE), la intensidad del estres (EAE) y la depresion (SCL- 90-R); y como VD las puntuaciones en calidad de vida en las nueve subescalas del SF36.
Tabla 1 Media, desviacion tipica y significacion de las variables demograficas y el estres cotidiano para los grupos de mujeres inmigrantes y espanolas Variables Grupo de inmigrantes Grupo de no inmigrantes M (DT) M (DT) Edad 37,26 (8,95) 45,00 (12,06) Anos de escolaridad 11,26 (4,47) 10,60 (4,40) Estres cotidiano 107,60 (22,35) 93,30 (23,70) (SRLE Global) Nota: SRLE Global= Subescala global de la Survey of Recent Life Experiences.