1 / 17

Multilevel analysis with EQS

Multilevel analysis with EQS. Castello2004 Data is datamlevel.xls, datamlevel.sav, datamlevel.ess. /TITLE Single factor model for multilevel data / SPECIFICATIONS DATA='f:seminarios semcastello2004datamlevel.ess'; VARIABLES=4; CASES=3609; GROUPS=2;

mave
Télécharger la présentation

Multilevel analysis with EQS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multilevel analysis with EQS

  2. Castello2004 • Data is datamlevel.xls, datamlevel.sav, datamlevel.ess

  3. /TITLE Single factor model for multilevel data /SPECIFICATIONS DATA='f:\seminarios sem\castello2004\datamlevel.ess'; VARIABLES=4; CASES=3609; GROUPS=2; METHOD=ML; ANALYSIS=COVARIANCE; MATRIX=RAW; MULTILEVEL=ML; CLUSTER=V1; /LABELS V1=SCHOOL; V2=EXAM1; V3=EXAM2; V4=EXAM3; /EQUATIONS V2 = *F1 + E2; V3 = *F1 + E3; V4 = *F1 + E4; /VARIANCES E2 = *; E3 = *; E4 = *; F1 =1; /COVARIANCES /END /TITLE Model built by EQS 6 for Windows in Group 2 /LABELS V1=SCHOOL; V2=EXAM1; V3=EXAM2; V4=EXAM3; /EQUATIONS V2 = *F1 + E2; V3 = *F1 + E3; V4 = *F1 + E4; /VARIANCES E2 = *; E3 = *; E4 = *; F1 = 1; /COVARIANCES /PRINT FIT=ALL; TABLE=EQUATION; /END

  4. SIZE (S) CLUSTER ID WITH SIZE S 13 62 78 90 18 5 19 88 91 21 3 22 81 25 89 26 10 66 27 83 31 61 32 68 34 57 35 67 36 9 38 8 39 12 54 40 84 41 6 15 56 71 87 42 43 43 13 47 58 49 85 52 48 54 64 55 26 59 42 76 62 46 92 67 22 70 21 81 19 83 31 32 84 29 38 85 17 86 33 89 96 91 47 92 35 77 93 44 94 30 103 45 121 60 129 16 135 18 139 24 152 7 201 79 AVERAGE CLUSTER SIZE IS 61.169 ESTIMATED WITHIN-CLUSTERS COVARIANCE MATRIX FOR SATURATED MODEL EXAM1 EXAM2 EXAM3 V 2 V 3 V 4 EXAM1 V 2 .501 EXAM2 V 3 .523 .698 EXAM3 V 4 .504 .640 1.073 ESTIMATED BETWEEN-CLUSTERS COVARIANCE MATRIX FOR SATURATED MODEL EXAM1 EXAM2 EXAM3 V 2 V 3 V 4 EXAM1 V 2 .033 EXAM2 V 3 .030 .045 EXAM3 V 4 .063 .055 .247

  5. MULTI-LEVEL ANALYSIS: WITHIN-LEVEL MAXIMUM LIKELIHOOD SOLUTION (NORMAL DISTRIBUTION THEORY) MEASUREMENT EQUATIONS WITH STANDARD ERRORS AND TEST STATISTICS STATISTICS SIGNIFICANT AT THE 5% LEVEL ARE MARKED WITH @. EXAM1 =V2 = .642*F1 + 1.000 E2 .009 68.621@ EXAM2 =V3 = .815*F1 + 1.000 E3 .011 77.356@ EXAM3 =V4 = .785*F1 + 1.000 E4 .015 52.834@

  6. E D --- --- E2 -EXAM1 .089*I I .004 I I 23.560@I I I I E3 -EXAM2 .034*I I .005 I I 6.690@I I I I E4 -EXAM3 .457*I I .012 I I 38.944@I I I I STANDARDIZED SOLUTION: R-SQUARED EXAM1 =V2 = .907*F1 + .421 E2 .823 EXAM2 =V3 = .975*F1 + .221 E3 .951 EXAM3 =V4 = .758*F1 + .652 E4 .574

  7. MULTI-LEVEL ANALYSIS: BETWEEN-LEVEL MAXIMUM LIKELIHOOD SOLUTION (NORMAL DISTRIBUTION THEORY) MEASUREMENT EQUATIONS WITH STANDARD ERRORS AND TEST STATISTICS STATISTICS SIGNIFICANT AT THE 5% LEVEL ARE MARKED WITH @. EXAM1 =V2 = .185*F1 +1.000 E2 .020 9.204@ EXAM2 =V3 = .170*F1 +1.000 E3 .027 6.193@ EXAM3 =V4 = .348*F1 +1.000 E4 .057 6.079@

  8. E D --- --- E2 -EXAM1 .000*I I .152 I I .000 I I I I E3 -EXAM2 .017*I I .003 I I 5.127@I I I I E4 -EXAM3 .128*I I .024 I I 5.387@I I I I STANDARDIZED SOLUTION: R-SQUARED EXAM1 =V2 = 1.000*F1 + .000 E2 1.000 EXAM2 =V3 = .792*F1 + .611 E3 .627 EXAM3 =V4 = .698*F1 + .717 E4 .487

  9. /TITLE Single factor model for multilevel data /SPECIFICATIONS DATA='f:\seminarios sem\castello2004\datamlevel.ess'; VARIABLES=4; CASES=3609; GROUPS=2; METHOD=ML; ANALYSIS=COVARIANCE; MATRIX=RAW; MULTILEVEL=ML; CLUSTER=V1; /LABELS V1=SCHOOL; V2=EXAM1; V3=EXAM2; V4=EXAM3; /EQUATIONS V2 = *F1 + E2; V3 = *F1 + E3; V4 = *F1 + E4; /VARIANCES E2 = *; E3 = *; E4 = *; F1 =1; /COVARIANCES /END /TITLE Model built by EQS 6 for Windows in Group 2 /LABELS V1=SCHOOL; V2=EXAM1; V3=EXAM2; V4=EXAM3; /EQUATIONS V2 = *F1 + E2; V3 = *F1 + E3; V4 = *F1 + E4; /VARIANCES E2 = *; E3 = *; E4 = *; F1 = 1; /COVARIANCES /CONSTRAINTS (2,V2,F1) = (2,V3,F1); /PRINT FIT=ALL; TABLE=EQUATION; /END

  10. MULTI-LEVEL ANALYSIS: WITHIN-LEVEL MAXIMUM LIKELIHOOD SOLUTION (NORMAL DISTRIBUTION THEORY) EXAM1 =V2 = .642*F1 + 1.000 E2 .009 68.612@ EXAM2 =V3 = .815*F1 + 1.000 E3 .011 77.357@ EXAM3 =V4 = .785*F1 + 1.000 E4 .015 52.832@

  11. E D --- --- E2 -EXAM1 .089*I I .004 I I 23.550@I I I I E3 -EXAM2 .034*I I .005 I I 6.696@I I I I E4 -EXAM3 .457*I I .012 I I 38.944@I I I I STANDARDIZED SOLUTION: R-SQUARED EXAM1 =V2 = .907*F1 + .421 E2 .823 EXAM2 =V3 = .975*F1 + .221 E3 .951 EXAM3 =V4 = .758*F1 + .653 E4 .574

  12. MULTI-LEVEL ANALYSIS: BETWEEN-LEVEL MAXIMUM LIKELIHOOD SOLUTION (NORMAL DISTRIBUTION THEORY) MEASUREMENT EQUATIONS WITH STANDARD ERRORS AND TEST STATISTICS STATISTICS SIGNIFICANT AT THE 5% LEVEL ARE MARKED WITH @. EXAM1 =V2 = .184*F1 +1.000 E2 .021 8.550@ EXAM2 =V3 = .184*F1 +1.000 E3 .021 8.550@ EXAM3 =V4 = .354*F1 +1.000 E4 .059 6.026@

  13. E D --- --- E2 -EXAM1 .001*I I .003 I I .210 I I I I E3 -EXAM2 .017*I I .004 I I 4.099@I I I I E4 -EXAM3 .127*I I .025 I I 5.024@I I I I STANDARDIZED SOLUTION: R-SQUARED EXAM1 =V2 = .992*F1 + .126 E2 .984 EXAM2 =V3 = .816*F1 + .577 E3 .667 EXAM3 =V4 = .705*F1 + .710 E4 .496

  14. GOODNESS OF FIT SUMMARY FOR METHOD = ML INDEPENDENCE MODEL CHI-SQUARE = 8640.064 ON 6 DEGREES OF FREEDOM INDEPENDENCE AIC = 8628.06354 INDEPENDENCE CAIC = 8584.91642 MODEL AIC = -1.40119 MODEL CAIC = -8.59238 BENTLER-LIANG LIKELIHOOD RATIO STATISTIC = .599 BASED ON 1 D.F. PROBABILITY VALUE FOR THE CHI-SQUARE STATISTIC IS .43903

More Related