|
|
|
||||
|
Help the Stat Consulting Group by
giving a gift
| |||||
|
Loading
|
|||||
* Example 1. * Table 1, page 264. DATA LIST LIST / subject cond1 cond2 cond3. BEGIN DATA. 1 100 90 130 2 90 100 100 3 110 110 109 4 100 90 109 5 100 100 130 END DATA. GLM cond1 cond2 cond3 /WSFACTOR = conditn 3.
The GLM command produces 3 of the results shown on Table 1 on page 264.
1. Anova with uncorrected df: F(2,8) = 4.73, p = 0.044, shown in red in the table immediately below.
2. Anova with Huynh-Feldt corrected df, F(1.59, 6.36) = 4.73, shown in pink in the table immediately below
3. MANOVA (Wilks's Lambda), F(2,3) = 2.40, p=0.238, shown in blue in the second table below.
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |
|---|---|---|---|---|---|---|
| CONDITN | Sphericity Assumed | 928.533 | 2 | 464.267 | 4.725 | .044 |
| Greenhouse-Geisser | 928.533 | 1.269 | 731.910 | 4.725 | .077 | |
| Huynh-Feldt | 928.533 | 1.590 | 583.935 | 4.725 | .060 | |
| Lower-bound | 928.533 | 1.000 | 928.533 | 4.725 | .095 | |
| Error(CONDITN) | Sphericity Assumed | 786.133 | 8 | 98.267 | ||
| Greenhouse-Geisser | 786.133 | 5.075 | 154.916 | |||
| Huynh-Feldt | 786.133 | 6.361 | 123.596 | |||
| Lower-bound | 786.133 | 4.000 | 196.533 | |||
| Effect | Value | F | Hypothesis df | Error df | Sig. | |
|---|---|---|---|---|---|---|
| CONDUIT | Pillai's Trace | .615 | 2.401(a) | 2.000 | 3.000 | .238 |
| Wilks' Lambda | .385 | 2.401(a) | 2.000 | 3.000 | .238 | |
| Hotelling's Trace | 1.601 | 2.401(a) | 2.000 | 3.000 | .238 | |
| Roy's Largest Root | 1.601 | 2.401(a) | 2.000 | 3.000 | .238 | |
| a Exact statistic | ||||||
| b Design: Intercept Within Subjects Design: CONDITN | ||||||
* Example 2. * Table 3, page 268. DATA LIST LIST / subject c1t1 c1t2 c1t3 c2t1 c2t2 c2t3 c3t1 c3t2 c3t3. BEGIN DATA. 1 8 9 8 8 9 7 10 9 10 2 9 10 9 10 9 13 8 9 9 3 8 7 7 12 7 9 10 9 7 4 6 8 9 8 10 10 12 9 10 5 7 6 7 11 12 8 8 11 9 END DATA. GLM c1t1 c1t2 c1t3 c2t1 c2t2 c2t3 c3t1 c3t2 c3t3 /WSFACTOR = cond 3 trial 3.
The GLM command produces two of the results shown on Table 3 on page 268.
1. Anova with Huynh-Feldt corrected df, F(2,8) = 4.02, shown in pink in the table immediately below
2. MANOVA (Wilks's Lambda), F(2,3) = 3.30, p=0.175, shown in blue in the second table below.
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |
|---|---|---|---|---|---|---|
| COND | Sphericity Assumed | 24.844 | 2 | 12.422 | 4.022 | .062 |
| Greenhouse-Geisser | 24.844 | 1.976 | 12.570 | 4.022 | .063 | |
| Huynh-Feldt | 24.844 | 2.000 | 12.422 | 4.022 | .062 | |
| Lower-bound | 24.844 | 1.000 | 24.844 | 4.022 | .115 | |
| Error(COND) | Sphericity Assumed | 24.711 | 8 | 3.089 | ||
| Greenhouse-Geisser | 24.711 | 7.906 | 3.126 | |||
| Huynh-Feldt | 24.711 | 8.000 | 3.089 | |||
| Lower-bound | 24.711 | 4.000 | 6.178 | |||
| TRIAL | Sphericity Assumed | .311 | 2 | .156 | .063 | .940 |
| Greenhouse-Geisser | .311 | 1.783 | .174 | .063 | .924 | |
| Huynh-Feldt | .311 | 2.000 | .156 | .063 | .940 | |
| Lower-bound | .311 | 1.000 | .311 | .063 | .815 | |
| Error(TRIAL) | Sphericity Assumed | 19.911 | 8 | 2.489 | ||
| Greenhouse-Geisser | 19.911 | 7.134 | 2.791 | |||
| Huynh-Feldt | 19.911 | 8.000 | 2.489 | |||
| Lower-bound | 19.911 | 4.000 | 4.978 | |||
| COND * TRIAL | Sphericity Assumed | 1.689 | 4 | .422 | .191 | .940 |
| Greenhouse-Geisser | 1.689 | 2.601 | .649 | .191 | .878 | |
| Huynh-Feldt | 1.689 | 4.000 | .422 | .191 | .940 | |
| Lower-bound | 1.689 | 1.000 | 1.689 | .191 | .685 | |
| Error(COND*TRIAL) | Sphericity Assumed | 35.422 | 16 | 2.214 | ||
| Greenhouse-Geisser | 35.422 | 10.402 | 3.405 | |||
| Huynh-Feldt | 35.422 | 16.000 | 2.214 | |||
| Lower-bound | 35.422 | 4.000 | 8.856 | |||
| Effect | Value | F | Hypothesis df | Error df | Sig. | |
|---|---|---|---|---|---|---|
| COND | Pillai's Trace | .688 | 3.301(a) | 2.000 | 3.000 | .175 |
| Wilks' Lambda | .312 | 3.301(a) | 2.000 | 3.000 | .175 | |
| Hotelling's Trace | 2.201 | 3.301(a) | 2.000 | 3.000 | .175 | |
| Roy's Largest Root | 2.201 | 3.301(a) | 2.000 | 3.000 | .175 | |
| TRIAL | Pillai's Trace | .028 | .043(a) | 2.000 | 3.000 | .959 |
| Wilks' Lambda | .972 | .043(a) | 2.000 | 3.000 | .959 | |
| Hotelling's Trace | .028 | .043(a) | 2.000 | 3.000 | .959 | |
| Roy's Largest Root | .028 | .043(a) | 2.000 | 3.000 | .959 | |
| COND * TRIAL | Pillai's Trace | .348 | .133(a) | 4.000 | 1.000 | .948 |
| Wilks' Lambda | .652 | .133(a) | 4.000 | 1.000 | .948 | |
| Hotelling's Trace | .533 | .133(a) | 4.000 | 1.000 | .948 | |
| Roy's Largest Root | .533 | .133(a) | 4.000 | 1.000 | .948 | |
| a Exact statistic | ||||||
| b Design: Intercept Within Subjects Design: COND+TRIAL+COND*TRIAL | ||||||
* Example 3. * Table 4, page 269. DATA LIST LIST / subject cond1 cond2 cond3 . BEGIN DATA. 1 8.333 8.000 9.667 2 9.333 10.667 8.667 3 7.333 9.333 8.667 4 7.667 9.333 10.333 5 6.667 10.333 9.333 END DATA. GLM cond1 cond2 cond3 /WSFACTOR cond 3.
The GLM command produces two of the results shown on Table 4 on page 269.
1. Anova with Huynh-Feldt corrected df, F(2,8) = 4.02, shown in pink in the table immediately below
2. MANOVA (Wilks's Lambda), F(2,3) = 3.31, p=0.174, shown in blue in the second table below.
Tests of Within-Subjects Effects Measure: MEASURE_1
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |
|---|---|---|---|---|---|---|
| COND | Sphericity Assumed | 8.282 | 2 | 4.141 | 4.023 | .062 |
| Greenhouse-Geisser | 8.282 | 1.976 | 4.191 | 4.023 | .063 | |
| Huynh-Feldt | 8.282 | 2.000 | 4.141 | 4.023 | .062 | |
| Lower-bound | 8.282 | 1.000 | 8.282 | 4.023 | .115 | |
| Error(COND) | Sphericity Assumed | 8.234 | 8 | 1.029 | ||
| Greenhouse-Geisser | 8.234 | 7.905 | 1.042 | |||
| Huynh-Feldt | 8.234 | 8.000 | 1.029 | |||
| Lower-bound | 8.234 | 4.000 | 2.058 | |||
| Effect | Value | F | Hypothesis df | Error df | Sig. | |
|---|---|---|---|---|---|---|
| COND | Pillai's Trace | .688 | 3.304(a) | 2.000 | 3.000 | .174 |
| Wilks' Lambda | .312 | 3.304(a) | 2.000 | 3.000 | .174 | |
| Hotelling's Trace | 2.203 | 3.304(a) | 2.000 | 3.000 | .174 | |
| Roy's Largest Root | 2.203 | 3.304(a) | 2.000 | 3.000 | .174 | |
| a Exact statistic | ||||||
| b Design: Intercept Within Subjects Design: COND | ||||||
UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services