Summary of the model specified

Transcription

1 Program: HLM 7 Hierarchical Linear and Nonlinear Modeling Authors: Stephen Raudenbush, Tony Bryk, & Richard Congdon Publisher: Scientific Software International, Inc. (c) 2010 techsupport@ssicentral.com Module: HLM2.EXE ( ) Date: 14 March 2014, Friday Time: 16: 8: 4 Problem Title: no title The data source for this run = replicate_jls The command file for this run = E:\Istanbul\jls_mod3_rep.hlm Output file name = E:\Istanbul\hlm2.html The maximum number of level-1 units = 123 The maximum number of level-2 units = 67 The maximum number of micro iterations = 14 Method of estimation: restricted PQL Maximum number of macro iterations = 100 Distribution at Level-1: Poisson The outcome variable is MIGR_REL Summary of the model specified Level-1 Model E(MIGR_REL ti π i ) = λ ti log[λ ti ] = η ti η ti = π 0i + π 1i *(EXECUTIV ti ) + π 2i *(WP_HLM ti ) + π 3i *(MONATE ti ) + π 4i *(ANFRAGEN ti ) + π 5i *(POSITION ti ) Level-2 Model π 0i = β 00 + β 01 *(GEN_HLM_ i ) + β 02 *(GENDER i ) + β 03 *(POL_LEVE i ) + β 04 *(VISMIN_M i ) + β 05 *(ZEIT_MEA i ) + β 06 *(LEFT_RIG i ) + β 07 *(STADT_LA i ) + β 08 *(VOLKSPAR i )

2 + β 09 *(IA_VISMI i ) + r 0i π 1i = β 10 π 2i = β 20 + β 21 *(VISMIN_M i ) π 3i = β 30 π 4i = β 40 π 5i = β 50 MONATE ANFRAGEN have been centered around the grand mean. ZEIT_MEA has been centered around the grand mean. Level-1 variance = σ 2 /λ ti Mixed Model η ti = β 00 + β 01 *GEN_HLM_ i + β 02 *GENDER i + β 03 *POL_LEVE i + β 04 *VISMIN_M i + β 05 *ZEIT_MEA i + β 06 *LEFT_RIG i + β 07 *STADT_LA i + β 08 *VOLKSPAR i + β 09 *IA_VISMI i + β 10 *EXECUTIV ti + β 20 *WP_HLM ti + β 21 *VISMIN_M i *WP_HLM ti + β 30 *MONATE ti + β 40 *ANFRAGEN ti + β 50 *POSITION ti + r 0i The value of the log-likelihood function at iteration 6 = E+002 Unit-Specific Model, PQL Estimation - (macro iteration 16) σ 2 = τ INTRCPT1,π Random level-1 coefficient Reliability estimate INTRCPT1,π The value of the log-likelihood function at iteration 2 = E+002 Final estimation of fixed effects: (Unit-specific model) Standard error t-ratio Approx. d.f. p-value

3 INTRCPT2, β GEN_HLM_, β GENDER, β POL_LEVE, β VISMIN_M, β ZEIT_MEA, β LEFT_RIG, β STADT_LA, β VOLKSPAR, β IA_VISMI, β INTRCPT2, β <0.001 INTRCPT2, β VISMIN_M, β INTRCPT2, β INTRCPT2, β <0.001 INTRCPT2, β Event Rate Ratio Confidence Interval INTRCPT2, β (1.105,8.534) GEN_HLM_, β (0.339,1.387) GENDER, β (0.443,1.562) POL_LEVE, β (0.588,3.437) VISMIN_M, β (1.090,6.040) ZEIT_MEA, β (0.981,1.116) LEFT_RIG, β (0.383,8.785) STADT_LA, β (1.216,6.691) VOLKSPAR, β (0.172,0.754) IA_VISMI, β (0.020,1.509) INTRCPT2, β (0.216,0.600) INTRCPT2, β (0.698,1.839) VISMIN_M, β (0.599,1.644)

4 INTRCPT2, β (1.000,1.024) INTRCPT2, β (1.007,1.017) INTRCPT2, β (0.426,1.023) Final estimation of fixed effects (Unit-specific model with robust standard errors) Standard error t-ratio Approx. d.f. p-value INTRCPT2, β GEN_HLM_, β GENDER, β POL_LEVE, β VISMIN_M, β ZEIT_MEA, β LEFT_RIG, β STADT_LA, β VOLKSPAR, β <0.001 IA_VISMI, β INTRCPT2, β INTRCPT2, β VISMIN_M, β INTRCPT2, β INTRCPT2, β INTRCPT2, β Event Rate Ratio Confidence Interval INTRCPT2, β (1.292,7.298) GEN_HLM_, β (0.383,1.229)

5 GENDER, β (0.469,1.475) POL_LEVE, β (0.633,3.190) VISMIN_M, β (1.344,4.899) ZEIT_MEA, β (0.988,1.108) LEFT_RIG, β (0.496,6.789) STADT_LA, β (1.185,6.867) VOLKSPAR, β (0.202,0.641) IA_VISMI, β (0.026,1.184) INTRCPT2, β (0.161,0.804) INTRCPT2, β (0.732,1.753) VISMIN_M, β (0.600,1.640) INTRCPT2, β (1.000,1.025) INTRCPT2, β (1.003,1.021) INTRCPT2, β (0.425,1.024) Final estimation of variance components Random Effect Standard Variance Deviation Component d.f. χ 2 p-value INTRCPT1, r <0.001 level-1, e The value of the log-likelihood function at iteration 2 = E+002 Final estimation of fixed effects: (Population-average model) Standard error t-ratio Approx. d.f. p-value INTRCPT2, β GEN_HLM_, β GENDER, β POL_LEVE, β VISMIN_M, β

6 ZEIT_MEA, β LEFT_RIG, β STADT_LA, β VOLKSPAR, β IA_VISMI, β INTRCPT2, β <0.001 INTRCPT2, β VISMIN_M, β INTRCPT2, β INTRCPT2, β <0.001 INTRCPT2, β Event Rate Ratio Confidence Interval INTRCPT2, β (1.518,9.817) GEN_HLM_, β (0.361,1.285) GENDER, β (0.436,1.379) POL_LEVE, β (0.614,3.068) VISMIN_M, β (1.268,6.084) ZEIT_MEA, β (0.978,1.101) LEFT_RIG, β (0.471,7.551) STADT_LA, β (1.384,6.606) VOLKSPAR, β (0.176,0.681) IA_VISMI, β (0.027,1.220) INTRCPT2, β (0.233,0.525) INTRCPT2, β (0.727,1.791) VISMIN_M, β (0.632,1.586) INTRCPT2, β (1.001,1.025) INTRCPT2, β (1.008,1.016)

7 INTRCPT2, β (0.474,0.908) Final estimation of fixed effects (Population-average model with robust standard errors) Standard error t-ratio Approx. d.f. p-value INTRCPT2, β <0.001 GEN_HLM_, β GENDER, β POL_LEVE, β VISMIN_M, β <0.001 ZEIT_MEA, β LEFT_RIG, β STADT_LA, β VOLKSPAR, β <0.001 IA_VISMI, β INTRCPT2, β <0.001 INTRCPT2, β VISMIN_M, β INTRCPT2, β INTRCPT2, β <0.001 INTRCPT2, β Event Rate Ratio Confidence Interval INTRCPT2, β (2.052,7.263) GEN_HLM_, β (0.435,1.067) GENDER, β (0.503,1.195) POL_LEVE, β (0.746,2.528) VISMIN_M, β (1.711,4.509) ZEIT_MEA, β (0.996,1.081) LEFT_RIG, β (0.805,4.423)

8 STADT_LA, β (1.532,5.964) VOLKSPAR, β (0.217,0.550) IA_VISMI, β (0.042,0.793) INTRCPT2, β (0.212,0.577) INTRCPT2, β (0.751,1.732) VISMIN_M, β (0.640,1.566) INTRCPT2, β (1.001,1.025) INTRCPT2, β (1.007,1.017) INTRCPT2, β (0.499,0.863)