Program: HLM 6 Hierarchical Linear and Nonlinear Modeling Authors: Stephen Raudenbush, Tony Bryk, & Richard Congdon Publisher: Scientific Software International, Inc. (c) 2000 techsupport@ssicentral.com www.ssicentral.com ------------------------------------------------------------------------------- Module: HLM2.EXE (6.06.2857.2) Date: 13 September 2016, Tuesday Time: 17:55:53 ------------------------------------------------------------------------------- SPECIFICATIONS FOR THIS HLM2 RUN Problem Title: no title The data source for this run = C:\Users\sandrine.pihet\Documents\Articles&Chapitres&Rapports\Art_BurdenDailyLife_SP-CMP\BurdenDailyLife_AndoHLM\P1&P2_Pré_N26_Complet.mdm The command file for this run = whlmtemp.hlm Output file name = C:\Users\sandrine.pihet\Documents\Articles&Chapitres&Rapports\Art_BurdenDailyLife_SP-CMP\BurdenDailyLife_AndoHLM\hlm2.txt The maximum number of level-1 units = 322 The maximum number of level-2 units = 26 The maximum number of iterations = 10000 Method of estimation: full maximum likelihood Weighting Specification ----------------------- Weight Variable Weighting? Name Normalized? Level 1 no Level 2 no Precision no The outcome variable is FARDEAU The model specified for the fixed effects was: ---------------------------------------------------- Level-1 Level-2 Coefficients Predictors ---------------------- --------------- INTRCPT1, P0 INTRCPT2, B00 * RELATION slope, P1 INTRCPT2, B10 * PBSGENDE slope, P2 INTRCPT2, B20 '*' - This level-1 predictor has been centered around its group mean. The model specified for the covariance components was: --------------------------------------------------------- Sigma squared (constant across level-2 units) Tau dimensions INTRCPT1 RELATION slope PBSGENDE slope Summary of the model specified (in equation format) --------------------------------------------------- Level-1 Model Y = P0 + P1*(RELATION) + P2*(PBSGENDE) + E Level-2 Model P0 = B00 + R0 P1 = B10 + R1 P2 = B20 + R2 Run-time deletion has reduced the number of level-1 records to 305 Iterations stopped due to small change in likelihood function ******* ITERATION 430 ******* Sigma_squared = 247.59124 Standard Error of Sigma_squared = 22.38077 Tau INTRCPT1,P0 279.24267 -1.95844 0.68169 RELATION,P1 -1.95844 0.14225 0.12574 PBSGENDE,P2 0.68169 0.12574 0.13680 Standard Errors of Tau INTRCPT1,P0 83.93373 1.83085 1.74008 RELATION,P1 1.83085 0.07227 0.06132 PBSGENDE,P2 1.74008 0.06132 0.06723 Tau (as correlations) INTRCPT1,P0 1.000 -0.311 0.110 RELATION,P1 -0.311 1.000 0.901 PBSGENDE,P2 0.110 0.901 1.000 ---------------------------------------------------- Random level-1 coefficient Reliability estimate ---------------------------------------------------- INTRCPT1, P0 0.923 RELATION, P1 0.427 PBSGENDE, P2 0.467 ---------------------------------------------------- The value of the likelihood function at iteration 430 = -1.319313E+003 The outcome variable is FARDEAU Final estimation of fixed effects: ---------------------------------------------------------------------------- Standard Approx. Fixed Effect Coefficient Error T-ratio d.f. P-value ---------------------------------------------------------------------------- For INTRCPT1, P0 INTRCPT2, B00 37.808179 3.411927 11.081 25 0.000 For RELATION slope, P1 INTRCPT2, B10 -0.421628 0.103063 -4.091 25 0.000 For PBSGENDE slope, P2 INTRCPT2, B20 0.470236 0.099888 4.708 25 0.000 ---------------------------------------------------------------------------- The outcome variable is FARDEAU Final estimation of fixed effects (with robust standard errors) ---------------------------------------------------------------------------- Standard Approx. Fixed Effect Coefficient Error T-ratio d.f. P-value ---------------------------------------------------------------------------- For INTRCPT1, P0 INTRCPT2, B00 37.808179 3.411832 11.081 25 0.000 For RELATION slope, P1 INTRCPT2, B10 -0.421628 0.102687 -4.106 25 0.000 For PBSGENDE slope, P2 INTRCPT2, B20 0.470236 0.099715 4.716 25 0.000 ---------------------------------------------------------------------------- Final estimation of variance components: ----------------------------------------------------------------------------- Random Effect Standard Variance df Chi-square P-value Deviation Component ----------------------------------------------------------------------------- INTRCPT1, R0 16.71056 279.24267 25 379.76230 0.000 RELATION slope, R1 0.37716 0.14225 25 56.21611 0.001 PBSGENDE slope, R2 0.36986 0.13680 25 43.93213 0.011 level-1, E 15.73503 247.59124 ----------------------------------------------------------------------------- Statistics for current covariance components model -------------------------------------------------- Deviance = 2638.625142 Number of estimated parameters = 10 Model comparison test ----------------------------------- Chi-square statistic = 60.99645 Number of degrees of freedom = 4 P-value = 0.000