Analisis de regresion lineal en el que las variables predictoras son las dimensiones globales del BASC (percentiles) y la variable dependiente la categoria situaciones de convivencia (positivas) de la adaptacion del Cuestionario sobre convivencia escolar para alumnos Unstandardized
Standardized coefficients coefficients DIMENSIONES (P) (2) B Err (1) [beta] t p (Constante) 3.376 .198 17.047 .000 ** Desajuste Clinico .003 .003 .149 1.047 .297 Desajuste Escolar -.002 .002 -.079 -.837 .404 Ajuste Personal .006 .002 .247 2.523 .013 * Indice de Sintomas -.006 .004 -.234 -1.719 .088 Emocionales (1) Error tip.; (1) Percentiles.; ** p < .001; * p < .05 Tabla 6.
Regression results of textile sector Unstandardized
Variables Coefficients Beta Std.
prevalence of no LTPA with 95% confidence intervals (CIs) was estimated for each state, by arthritis status, using sampling weights, which take into account the complex sample design, nonresponse, and noncoverage.
Standardized Coefficients Coefficients Std.
Despite a significantly better overall fit of the 4-factor model, closer inspections of individual items revealed nonsignificant unstandardized
factor loadings on the specific factors (i.e., depression, anxiety, and stress) for 19 out of 21 items, implying lack of convergent validity.
Using the unstandardized
regression equation from column 2 of Table 2, we identified the direction of the interaction between general descriptive norms, BACE and drinking behavior by computing predicted drinking scores for students with low (one standard deviation below the mean) versus high (one standard deviation above the mean) scores on the measure of general descriptive norms, and low (one standard deviation below the mean) and high (one standard deviation above the mean) scores on the BACE index, while all other variables were held constant at their sample mean (Table 1).
Error of Square the Estimate 1 .944 (a) .890 .861 23626,431 (a.) Predictors: (Constant), SUI, ELEVATOR, BALCONY, DATE ANOVA (b) Model Sum of Squares df Mean Square F Siq 1 Regression 6.802E10 4 1,701E10 30,464 .000 (a) Residual 8.373E9 15 5.582E8 Total 7.639E10 19 (a.) Predictors: (Constant), SUI, ELEVATOR, BALCONY, DATE (b.) Dependent Variable: PRICE Coefficients (a) Standardized Model Unstandardized
Coefficients Coefficients B Std.
Table 2 reports the unstandardized
and standardized regression coefficients for these analyses.
Multiple Regression of Predictors (Gender, Undergraduate GPA, Advanced Standing, Admission Status, and Ethnicity) on Final GPA Unstandardized
Standardized B SE [beta] t p Gender 0.00 0.09 -0.001 -0.02 0.985 Undergraduate GPA 0.20 0.08 0.226 2.42 0.017 Advanced standing -0.25 0.05 -0.305 -4.72 0.000 Admission status 0.00 0.08 0.001 0.01 0.993 Black -0.17 0.06 -0.185 -2.74 0.007 Hispanic -0.17 0.09 -0.129 -1.93 0.055 Note.