Repeated Measures Anova in SPSS * Example 1.* Table 1, page 264.DATA LIST LIST / subject cond1 cond2 cond3.BEGIN DATA.1 100 90 1302 90 100 1003 110 110 1094 100 90 1095 100 100 130END 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. Tests of Within-Subjects Effects Measure: MEASURE_1 | Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
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| CONDITN | Sphericity Assumed | 928.533 | 2 | 464.267 | 4.725 | .044 |
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| Greenhouse-Geisser | 928.533 | 1.269 | 731.910 | 4.725 | .077 |
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| Huynh-Feldt | 928.533 | 1.590 | 583.935 | 4.725 | .060 |
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| Lower-bound | 928.533 | 1.000 | 928.533 | 4.725 | .095 |
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| Error(CONDITN) | Sphericity Assumed | 786.133 | 8 | 98.267 |
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| Greenhouse-Geisser | 786.133 | 5.075 | 154.916 |
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| Huynh-Feldt | 786.133 | 6.361 | 123.596 |
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| Lower-bound | 786.133 | 4.000 | 196.533 |
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Multivariate Tests(b)| Effect | Value | F | Hypothesis df | Error df | Sig. |
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| CONDUIT | Pillai's Trace | .615 | 2.401(a) | 2.000 | 3.000 | .238 |
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| Wilks' Lambda | .385 | 2.401(a) | 2.000 | 3.000 | .238 |
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| Hotelling's Trace | 1.601 | 2.401(a) | 2.000 | 3.000 | .238 |
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| Roy's Largest Root | 1.601 | 2.401(a) | 2.000 | 3.000 | .238 |
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| 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 9 102 9 10 9 10 9 13 8 9 93 8 7 7 12 7 9 10 9 74 6 8 9 8 10 10 12 9 105 7 6 7 11 12 8 8 11 9END DATA.GLM c1t1 c1t2 c1t3 c2t1 c2t2 c2t3 c3t1 c3t2 c3t3 /WSFACTOR = cond 3 trial 3. The GLM command produces 2 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. Tests of Within-Subjects Effects
Measure: MEASURE_1 | Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
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| COND | Sphericity Assumed | 24.844 | 2 | 12.422 | 4.022 | .062 |
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| Greenhouse-Geisser | 24.844 | 1.976 | 12.570 | 4.022 | .063 |
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| Huynh-Feldt | 24.844 | 2.000 | 12.422 | 4.022 | .062 |
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| Lower-bound | 24.844 | 1.000 | 24.844 | 4.022 | .115 |
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| Error(COND) | Sphericity Assumed | 24.711 | 8 | 3.089 |
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| Greenhouse-Geisser | 24.711 | 7.906 | 3.126 |
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| Huynh-Feldt | 24.711 | 8.000 | 3.089 |
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| Lower-bound | 24.711 | 4.000 | 6.178 |
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| TRIAL | Sphericity Assumed | .311 | 2 | .156 | .063 | .940 |
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| Greenhouse-Geisser | .311 | 1.783 | .174 | .063 | .924 |
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| Huynh-Feldt | .311 | 2.000 | .156 | .063 | .940 |
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| Lower-bound | .311 | 1.000 | .311 | .063 | .815 |
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| Error(TRIAL) | Sphericity Assumed | 19.911 | 8 | 2.489 |
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| Greenhouse-Geisser | 19.911 | 7.134 | 2.791 |
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| Huynh-Feldt | 19.911 | 8.000 | 2.489 |
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| Lower-bound | 19.911 | 4.000 | 4.978 |
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| COND * TRIAL | Sphericity Assumed | 1.689 | 4 | .422 | .191 | .940 |
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| Greenhouse-Geisser | 1.689 | 2.601 | .649 | .191 | .878 |
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| Huynh-Feldt | 1.689 | 4.000 | .422 | .191 | .940 |
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| Lower-bound | 1.689 | 1.000 | 1.689 | .191 | .685 |
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| Error(COND*TRIAL) | Sphericity Assumed | 35.422 | 16 | 2.214 |
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| Greenhouse-Geisser | 35.422 | 10.402 | 3.405 |
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| Huynh-Feldt | 35.422 | 16.000 | 2.214 |
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| Lower-bound | 35.422 | 4.000 | 8.856 |
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Multivariate Tests(b)| Effect | Value | F | Hypothesis df | Error df | Sig. |
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| COND | Pillai's Trace | .688 | 3.301(a) | 2.000 | 3.000 | .175 |
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| Wilks' Lambda | .312 | 3.301(a) | 2.000 | 3.000 | .175 |
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| Hotelling's Trace | 2.201 | 3.301(a) | 2.000 | 3.000 | .175 |
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| Roy's Largest Root | 2.201 | 3.301(a) | 2.000 | 3.000 | .175 |
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| TRIAL | Pillai's Trace | .028 | .043(a) | 2.000 | 3.000 | .959 |
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| Wilks' Lambda | .972 | .043(a) | 2.000 | 3.000 | .959 |
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| Hotelling's Trace | .028 | .043(a) | 2.000 | 3.000 | .959 |
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| Roy's Largest Root | .028 | .043(a) | 2.000 | 3.000 | .959 |
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| COND * TRIAL | Pillai's Trace | .348 | .133(a) | 4.000 | 1.000 | .948 |
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| Wilks' Lambda | .652 | .133(a) | 4.000 | 1.000 | .948 |
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| Hotelling's Trace | .533 | .133(a) | 4.000 | 1.000 | .948 |
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| Roy's Largest Root | .533 | .133(a) | 4.000 | 1.000 | .948 |
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| 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 9.6672 9.333 10.667 8.6673 7.333 9.333 8.6674 7.667 9.333 10.3335 6.667 10.333 9.333END DATA.GLM cond1 cond2 cond3 /WSFACTOR cond 3. The GLM command produces 2 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 EffectsMeasure: MEASURE_1 | Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
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| COND | Sphericity Assumed | 8.282 | 2 | 4.141 | 4.023 | .062 |
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| Greenhouse-Geisser | 8.282 | 1.976 | 4.191 | 4.023 | .063 |
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| Huynh-Feldt | 8.282 | 2.000 | 4.141 | 4.023 | .062 |
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| Lower-bound | 8.282 | 1.000 | 8.282 | 4.023 | .115 |
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| Error(COND) | Sphericity Assumed | 8.234 | 8 | 1.029 |
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| Greenhouse-Geisser | 8.234 | 7.905 | 1.042 |
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| Huynh-Feldt | 8.234 | 8.000 | 1.029 |
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| Lower-bound | 8.234 | 4.000 | 2.058 |
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Multivariate Tests(b) | Effect | Value | F | Hypothesis df | Error df | Sig. |
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| COND | Pillai's Trace | .688 | 3.304(a) | 2.000 | 3.000 | .174 |
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| Wilks' Lambda | .312 | 3.304(a) | 2.000 | 3.000 | .174 |
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| Hotelling's Trace | 2.203 | 3.304(a) | 2.000 | 3.000 | .174 |
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| Roy's Largest Root | 2.203 | 3.304(a) | 2.000 | 3.000 | .174 |
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| a Exact statistic | b Design: Intercept
Within Subjects Design: COND |
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