This logfile accompanies the paper "On multi-level modeling of data from repeated measures designs: A tutorial" by Hugo Quené and Huub van den Bergh (2004).
The multilevel analyses reported here were done with the program MLn for multilevel analysis (version 1.0a). This is a command-line version of the program MLn, with output suitable for offline inspection as presented here. The program has since been modernized into a version for MicroSoft Windows, MLwiN (version 1.10). In the latter program, the user can open a command-line window and input the commands below; program output is written to a separate window.
Program output is indicated by black monospace type, like this.
MLN - Software for N-level analysis.
250000 spaces left on worksheet Type file name ->f:\qb108.dat
1.7074 1 1 1 -.55131 1 2 1 -.75213 1 3 1 ... 1.7583 12 7 3 -.18328 12 8 3 -.72555 12 9 3
Name n missing min max 1 SCORE 108 0 -4.7446 5.7573 2 SUBJ 108 0 1.0000 12.000 3 TRIAL 108 0 1.0000 9.0000 4 TREATM 108 0 1.0000 3.0000 5 CONST 108 0 1.0000 1.0000 6 C6 0 7 C7 0 ... 19 C19 0 20 C20 0
EXPLanatory variables in CONST FPARameters CONST RESPonse variable in SCORE FSDErrors : uncorrected RSDErrors : uncorrected MAXIterations 20 TOLErance 2 METHod is RIGLS BATCh is ON IDENtifying codes : 1-TRIAL, 2-SUBJ LEVEL 2 RPM CONST CONST 1 LEVEL 1 RPM CONST CONST 1
Convergence achieved
PARAMETER ESTIMATE S. ERROR(U) PREV. ESTIMATE CONST 0.2371 0.4401 0.2371
LEV. PARAMETER (NCONV) ESTIMATE S. ERROR(U) PREV. ESTIM CORR. ------------------------------------------------------------------------------- 2 CONST /CONST ( 1) 2.056 0.9437 2.042 1 ------------------------------------------------------------------------------- 1 CONST /CONST ( 2) 2.408 0.3475 2.408
Count = 108 Average = 0.23708 S.D. = 2.0764 S.E.M. = 0.19980
249114 spaces left on worksheet -2*log(lh) is 426.334
full set of 3 dummies created
EXPLanatory variables in TRA TRB TRC CONST FPARameters TRA TRB TRC RESPonse variable in SCORE FSDErrors : uncorrected RSDErrors : uncorrected MAXIterations 20 TOLErance 2 METHod is RIGLS BATCh is ON IDENtifying codes : 1-TRIAL, 2-SUBJ LEVEL 2 RPM CONST CONST 1 LEVEL 1 RPM CONST CONST 1
Convergence achieved
PARAMETER ESTIMATE S. ERROR(U) PREV. ESTIMATE TRA -0.1798 0.4807 -0.1798 TRB -0.2194 0.4807 -0.2194 TRC 1.11 0.4807 1.11
LEV. PARAMETER (NCONV) ESTIMATE S. ERROR(U) PREV. ESTIM CORR. ------------------------------------------------------------------------------- 2 CONST /CONST ( 1) 2.099 0.9435 2.085 1 ------------------------------------------------------------------------------- 1 CONST /CONST ( 1) 2.02 0.2916 2.02
CONTRASTS TRA 1.00 1.00 0.00 TRB -1.00 0.00 1.00 TRC 0.00 -1.00 -1.00 result 0.04 -1.29 -1.33 chi square ( 1 df) 0.01 14.83 15.76 +/-95% c.i.(sep.) 0.66 0.66 0.66 +/-95% c.i.(sim.) 0.94 0.94 0.94 chi sq for simultaneous contrasts(3 df) = 20.40
0.00011954
249107 spaces left on worksheet -2*log(lh) is 407.5
EXPLanatory variables in TRA TRB TRC FPARameters TRA TRB TRC RESPonse variable in SCORE FSDErrors : uncorrected RSDErrors : uncorrected MAXIterations 20 TOLErance 2 METHod is RIGLS BATCh is ON IDENtifying codes : 1-TRIAL, 2-SUBJ LEVEL 2 RPM TRA TRB TRC TRA 1 TRB 1 1 TRC 1 1 1 LEVEL 1 RPM TRA TRB TRC TRA 1 TRB 1 1 TRC 1 1 1
EXPLanatory variables in TRA TRB TRC FPARameters TRA TRB TRC RESPonse variable in SCORE FSDErrors : uncorrected RSDErrors : uncorrected MAXIterations 20 TOLErance 2 METHod is RIGLS BATCh is ON IDENtifying codes : 1-TRIAL, 2-SUBJ LEVEL 2 RPM TRA TRB TRC TRA 1 TRB 1 1 TRC 1 1 1 LEVEL 1 RPM TRA TRB TRC TRA 1 TRB 0 1 TRC 0 0 1
Convergence achieved
PARAMETER ESTIMATE S. ERROR(U) PREV. ESTIMATE TRA -0.1798 0.4739 -0.1798 TRB -0.2194 0.5184 -0.2194 TRC 1.11 0.6383 1.11
LEV. PARAMETER (NCONV) ESTIMATE S. ERROR(U) PREV. ESTIM CORR. ------------------------------------------------------------------------------- 2 TRA /TRA ( 1) 2.411 1.097 2.396 1 2 TRB /TRA ( 1) 0.9261 0.8869 0.9202 0.35 2 TRB /TRB ( 1) 2.903 1.312 2.885 1 2 TRC /TRA ( 1) 3.3 1.408 3.279 0.989 2 TRC /TRB ( 1) 0.826 1.164 0.8208 0.226 2 TRC /TRC ( 1) 4.617 1.986 4.588 1 ------------------------------------------------------------------------------- 1 TRA /TRA ( 2) 0.8513 0.2458 0.8513 1 TRB /TRB ( 2) 0.9635 0.2781 0.9635 1 TRC /TRC ( 2) 0.8186 0.2363 0.8186
CONTRASTS TRA /TRA :> 1.00 1.00 0.00 TRB /TRA :> 0.00 0.00 0.00 TRB /TRB :> -1.00 0.00 1.00 TRC /TRA :> 0.00 0.00 0.00 TRC /TRB :> 0.00 0.00 0.00 TRC /TRC :> 0.00 -1.00 -1.00 TRA /TRA := 0.00 0.00 0.00 TRB /TRB := 0.00 0.00 0.00 TRC /TRC := 0.00 0.00 0.00 result -0.49 -2.21 -1.71 chi square ( 1 df) 0.09 3.11 0.54 +/-95% c.i.(sep.) 3.19 2.45 4.57 +/-95% c.i.(sim.) 6.69 5.14 9.59 chi sq for simultaneous contrasts(9 df) = 3.88
0.077813
0.97830
CONTRASTS TRA 1.00 1.00 0.00 TRB -1.00 0.00 1.00 TRC 0.00 -1.00 -1.00 result 0.04 -1.29 -1.33 chi square ( 1 df) 0.00 20.28 3.28 +/-95% c.i.(sep.) 1.14 0.56 1.44 +/-95% c.i.(sim.) 1.63 0.80 2.05 chi sq for simultaneous contrasts(3 df) = 22.91
0.070129
249058 spaces left on worksheet -2*log(lh) is 355.759
Type file name ->
249028 spaces left on worksheet