manova. samples of romano-british pottery were taken at four sites in the united kingdom. a chemical...
TRANSCRIPT
MANOVA
Samples of Romano-British pottery were taken at four sites in the United Kingdom. A chemical analysis of the pottery was performed to measure the percentage of five metal oxides present in each sample. The purpose of the analysis was to determine if different sites produced pottery with different chemical compositions. Since we have five different measures of chemical composition, we should perform a multivariate analysis of variance (MANOVA) analysis to determine if there is a significant difference between sites considering all five variables simultaneously. The dependent variables (Y-variables) for the MANOVA are the five chemical variables; the predictor variable (X-variable) is 'Site'.
• Twenty-six samples of Romano-British pottery were found at four different kiln sites in Wales, Gwent and the New Forest. The sites are Llanederyn (L), Caldicot (C), Island Thorns (I), and Ashley Rails (A). The other variables are the percentage of oxides of various metals measured by atomic absorption spectrophotometry. The data were collected to see if different sites contained pottery of different chemical compositions.
• Al: Percentage of aluminum oxide in sample • Fe: Percentage of iron oxide in sample • Mg: Percentage of magnesium oxide in sample • Ca: Percentage of calcium oxide in sample • Na: Percentage of sodium oxide in sample • Site: Site where pottery sample was collected
Between-Subjects Factors
5
2
5
14
A
C
I
L
siteN
Multivariate Testsc
.989 319.930a 5.000 18.000 .000
.011 319.930a 5.000 18.000 .000
88.869 319.930a 5.000 18.000 .000
88.869 319.930a 5.000 18.000 .000
1.554 4.298 15.000 60.000 .000
.012 13.089 15.000 50.091 .000
35.439 39.376 15.000 50.000 .000
34.161 136.644b 5.000 20.000 .000
Pillai's Trace
Wilks' Lambda
Hotelling's Trace
Roy's Largest Root
Pillai's Trace
Wilks' Lambda
Hotelling's Trace
Roy's Largest Root
EffectIntercept
site
Value F Hypothesis df Error df Sig.
Exact statistica.
The statistic is an upper bound on F that yields a lower bound on the significance level.b.
Design: Intercept+sitec.
Tests of Between-Subjects Effects
175.610a 3 58.537 26.669 .000
134.222b 3 44.741 89.883 .000
103.351c 3 34.450 49.120 .000
.205d 3 .068 29.157 .000
.258e 3 .086 9.503 .000
3676.822 1 3676.822 1675.154 .000
231.962 1 231.962 466.006 .000
102.149 1 102.149 145.647 .000
.341 1 .341 145.505 .000
.167 1 .167 18.430 .000
175.610 3 58.537 26.669 .000
134.222 3 44.741 89.883 .000
103.351 3 34.450 49.120 .000
.205 3 .068 29.157 .000
.258 3 .086 9.503 .000
48.288 22 2.195
10.951 22 .498
15.430 22 .701
.051 22 .002
.199 22 .009
5684.600 26
664.140 26
375.381 26
.815 26
1.110 26
223.898 25
145.172 25
118.780 25
.256 25
.458 25
Dependent Variableal
fe
mg
ca
na
al
fe
mg
ca
na
al
fe
mg
ca
na
al
fe
mg
ca
na
al
fe
mg
ca
na
al
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ca
na
SourceCorrected Model
Intercept
site
Error
Total
Corrected Total
Type III Sumof Squares df Mean Square F Sig.
R Squared = .784 (Adjusted R Squared = .755)a.
R Squared = .925 (Adjusted R Squared = .914)b.
R Squared = .870 (Adjusted R Squared = .852)c.
R Squared = .799 (Adjusted R Squared = .772)d.
R Squared = .564 (Adjusted R Squared = .505)e.
The MANOVA analysis shows that there is a significant difference between the sites when considering all five measures simultaneously and when considering each individually. This is convincing evidence that a difference exists; however, it does not tell us which group(s) were different from the others. To determine this, we must rely on post-hoc tests of each chemical measure across the different sites.
Multiple Comparisons
LSD
5.6200* 1.23953 .000 3.0494 8.1906
-.8600 .93700 .369 -2.8032 1.0832
4.7557* .77186 .000 3.1550 6.3564
-5.6200* 1.23953 .000 -8.1906 -3.0494
-6.4800* 1.23953 .000 -9.0506 -3.9094
-.8643 1.11993 .448 -3.1869 1.4583
.8600 .93700 .369 -1.0832 2.8032
6.4800* 1.23953 .000 3.9094 9.0506
5.6157* .77186 .000 4.0150 7.2164
-4.7557* .77186 .000 -6.3564 -3.1550
.8643 1.11993 .448 -1.4583 3.1869
-5.6157* .77186 .000 -7.2164 -4.0150
-3.9030* .59028 .000 -5.1272 -2.6788
-.2000 .44621 .658 -1.1254 .7254
-4.8601* .36757 .000 -5.6224 -4.0978
3.9030* .59028 .000 2.6788 5.1272
3.7030* .59028 .000 2.4788 4.9272
-.9571 .53333 .086 -2.0632 .1489
.2000 .44621 .658 -.7254 1.1254
-3.7030* .59028 .000 -4.9272 -2.4788
-4.6601* .36757 .000 -5.4224 -3.8978
4.8601* .36757 .000 4.0978 5.6224
.9571 .53333 .086 -.1489 2.0632
4.6601* .36757 .000 3.8978 5.4224
-3.2490* .70067 .000 -4.7021 -1.7959
-.0680 .52966 .899 -1.1664 1.0304
-4.2204* .43631 .000 -5.1253 -3.3156
3.2490* .70067 .000 1.7959 4.7021
3.1810* .70067 .000 1.7279 4.6341
-.9714 .63306 .139 -2.2843 .3415
.0680 .52966 .899 -1.0304 1.1664
-3.1810* .70067 .000 -4.6341 -1.7279
-4.1524* .43631 .000 -5.0573 -3.2476
4.2204* .43631 .000 3.3156 5.1253
.9714 .63306 .139 -.3415 2.2843
4.1524* .43631 .000 3.2476 5.0573
-.2430* .04047 .000 -.3269 -.1591
.0260 .03060 .405 -.0375 .0895
-.1501* .02520 .000 -.2024 -.0979
.2430* .04047 .000 .1591 .3269
.2690* .04047 .000 .1851 .3529
.0929* .03657 .019 .0170 .1687
-.0260 .03060 .405 -.0895 .0375
-.2690* .04047 .000 -.3529 -.1851
-.1761* .02520 .000 -.2284 -.1239
.1501* .02520 .000 .0979 .2024
-.0929* .03657 .019 -.1687 -.0170
.1761* .02520 .000 .1239 .2284
-.0020 .07963 .980 -.1671 .1631
-.0060 .06020 .922 -.1308 .1188
-.2027* .04959 .000 -.3056 -.0999
.0020 .07963 .980 -.1631 .1671
-.0040 .07963 .960 -.1691 .1611
-.2007* .07195 .011 -.3499 -.0515
.0060 .06020 .922 -.1188 .1308
.0040 .07963 .960 -.1611 .1691
-.1967* .04959 .001 -.2996 -.0939
.2027* .04959 .000 .0999 .3056
.2007* .07195 .011 .0515 .3499
.1967* .04959 .001 .0939 .2996
(J) siteC
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(I) siteA
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Dependent Variableal
fe
mg
ca
na
MeanDifference
(I-J) Std. Error Sig. Lower Bound Upper Bound
95% Confidence Interval
Based on observed means.
The mean difference is significant at the .05 level.*.
Multiple Comparisons
LSD
5.6200* 1.23953 .000 3.0494 8.1906
-.8600 .93700 .369 -2.8032 1.0832
4.7557* .77186 .000 3.1550 6.3564
-5.6200* 1.23953 .000 -8.1906 -3.0494
-6.4800* 1.23953 .000 -9.0506 -3.9094
-.8643 1.11993 .448 -3.1869 1.4583
.8600 .93700 .369 -1.0832 2.8032
6.4800* 1.23953 .000 3.9094 9.0506
5.6157* .77186 .000 4.0150 7.2164
-4.7557* .77186 .000 -6.3564 -3.1550
.8643 1.11993 .448 -1.4583 3.1869
-5.6157* .77186 .000 -7.2164 -4.0150
-3.9030* .59028 .000 -5.1272 -2.6788
-.2000 .44621 .658 -1.1254 .7254
-4.8601* .36757 .000 -5.6224 -4.0978
3.9030* .59028 .000 2.6788 5.1272
3.7030* .59028 .000 2.4788 4.9272
-.9571 .53333 .086 -2.0632 .1489
.2000 .44621 .658 -.7254 1.1254
-3.7030* .59028 .000 -4.9272 -2.4788
-4.6601* .36757 .000 -5.4224 -3.8978
4.8601* .36757 .000 4.0978 5.6224
.9571 .53333 .086 -.1489 2.0632
4.6601* .36757 .000 3.8978 5.4224
-3.2490* .70067 .000 -4.7021 -1.7959
-.0680 .52966 .899 -1.1664 1.0304
-4.2204* .43631 .000 -5.1253 -3.3156
3.2490* .70067 .000 1.7959 4.7021
3.1810* .70067 .000 1.7279 4.6341
-.9714 .63306 .139 -2.2843 .3415
.0680 .52966 .899 -1.0304 1.1664
-3.1810* .70067 .000 -4.6341 -1.7279
-4.1524* .43631 .000 -5.0573 -3.2476
4.2204* .43631 .000 3.3156 5.1253
.9714 .63306 .139 -.3415 2.2843
4.1524* .43631 .000 3.2476 5.0573
-.2430* .04047 .000 -.3269 -.1591
.0260 .03060 .405 -.0375 .0895
-.1501* .02520 .000 -.2024 -.0979
.2430* .04047 .000 .1591 .3269
.2690* .04047 .000 .1851 .3529
.0929* .03657 .019 .0170 .1687
-.0260 .03060 .405 -.0895 .0375
-.2690* .04047 .000 -.3529 -.1851
-.1761* .02520 .000 -.2284 -.1239
.1501* .02520 .000 .0979 .2024
-.0929* .03657 .019 -.1687 -.0170
.1761* .02520 .000 .1239 .2284
-.0020 .07963 .980 -.1671 .1631
-.0060 .06020 .922 -.1308 .1188
-.2027* .04959 .000 -.3056 -.0999
.0020 .07963 .980 -.1631 .1671
-.0040 .07963 .960 -.1691 .1611
-.2007* .07195 .011 -.3499 -.0515
.0060 .06020 .922 -.1188 .1308
.0040 .07963 .960 -.1611 .1691
-.1967* .04959 .001 -.2996 -.0939
.2027* .04959 .000 .0999 .3056
.2007* .07195 .011 .0515 .3499
.1967* .04959 .001 .0939 .2996
(J) siteC
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(I) siteA
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Dependent Variableal
fe
mg
ca
na
MeanDifference
(I-J) Std. Error Sig. Lower Bound Upper Bound
95% Confidence Interval
Based on observed means.
The mean difference is significant at the .05 level.*.