1 AT_BANNER([GLM procedure])
3 AT_SETUP([GLM latin square design])
5 dnl This example comes from :
6 dnl http://ssnds.uwo.ca/statsexamples/spssanova/latinsquareresults.html
7 AT_DATA([latin.sps], [dnl
9 data list notable fixed /a 1 b 3 c 5 y 7-10(2).
49 variable labels a 'Factor A' b 'Factor B' c 'Factor C' y 'Criterion'.
58 AT_CHECK([pspp -O format=csv latin.sps | sed 's/329.62[[678]]/329.62/'], [0],
60 Table: Tests of Between-Subjects Effects
61 Source,Type III Sum of Squares,df,Mean Square,F,Sig.
62 Corrected Model,263.064,15,17.538,5.269,.000
63 Intercept,815.103,1,815.103,244.910,.000
64 Factor A,78.869,5,15.774,4.739,.005
65 Factor B,28.599,5,5.720,1.719,.176
66 Factor C,155.596,5,31.119,9.350,.000
67 Error,66.563,20,3.328,,
69 Corrected Total,329.62,35,,,
74 AT_SETUP([GLM 2 by 2 factorial design])
76 AT_DATA([2by2.sps], [dnl
78 data list notable list /Factor0 * Factor1 * points (F10).
102 glm points by Factor0 Factor1
109 AT_CHECK([pspp -O format=csv 2by2.sps ], [0],
111 Table: Tests of Between-Subjects Effects
112 Source,Type III Sum of Squares,df,Mean Square,F,Sig.
113 Corrected Model,8667.053,3,2889.018,5.043,.012
114 Intercept,2256018.640,1,2256018.640,3937.693,.000
115 Factor0,313.394,1,313.394,.547,.470
116 Factor1,5157.508,1,5157.508,9.002,.008
117 Factor0 * Factor1,3196.150,1,3196.150,5.579,.031
118 Error,9166.865,16,572.929,,
119 Total,2273852.559,20,,,
120 Corrected Total,17833.918,19,,,
126 AT_SETUP([GLM Type I and II Sums of Squares])
128 dnl The following example comes from
129 dnl http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Type1-3.pdf
130 AT_DATA([data-inc.sps], [dnl
133 data list notable list /dv * Agrp * B0 * B1 * B2 * i0 * i1 * i2 * sss *.
145 11 1 0 0 1 0 0 1 1.00
146 12 1 0 0 1 0 0 1 1.00
147 14 1 0 0 1 0 0 1 1.00
148 11 1 -1 -1 -1 -1 -1 -1 1.00
149 15 1 -1 -1 -1 -1 -1 -1 1.00
150 16 1 -1 -1 -1 -1 -1 -1 1.00
151 10 1 -1 -1 -1 -1 -1 -1 1.00
152 9 1 -1 -1 -1 -1 -1 -1 1.00
153 7 -1 1 0 0 -1 0 0 2.00
154 9 -1 1 0 0 -1 0 0 2.00
155 10 -1 1 0 0 -1 0 0 2.00
156 9 -1 1 0 0 -1 0 0 2.00
157 3 -1 0 1 0 0 -1 0 2.00
158 8 -1 0 1 0 0 -1 0 2.00
159 9 -1 0 1 0 0 -1 0 2.00
160 11 -1 0 1 0 0 -1 0 2.00
161 9 -1 0 0 1 0 0 -1 2.00
162 12 -1 0 0 1 0 0 -1 2.00
163 14 -1 0 0 1 0 0 -1 2.00
164 8 -1 0 0 1 0 0 -1 2.00
165 7 -1 0 0 1 0 0 -1 2.00
166 11 -1 -1 -1 -1 1 1 1 2.00
167 14 -1 -1 -1 -1 1 1 1 2.00
168 10 -1 -1 -1 -1 1 1 1 2.00
169 12 -1 -1 -1 -1 1 1 1 2.00
170 13 -1 -1 -1 -1 1 1 1 2.00
171 11 -1 -1 -1 -1 1 1 1 2.00
172 12 -1 -1 -1 -1 1 1 1 2.00
175 do if B0 = -1 AND B1 = -1 AND B2 = -1.
179 do if B0 = 0 AND B1 = 0 AND B2 = 1.
183 do if B0 = 0 AND B1 = 1 AND B2 = 0.
187 do if B0 = 1 AND B1 = 0 AND B2 = 0.
192 AT_DATA([type1.sps], [dnl
193 include 'data-inc.sps'.
201 /design Bgrp Agrp Bgrp * Agrp
206 AT_CHECK([pspp -O format=csv type1.sps], [0],
208 Table: Tests of Between-Subjects Effects
209 Source,Type I Sum of Squares,df,Mean Square,F,Sig.
210 Corrected Model,216.017,7,30.860,5.046,.001
212 Agrp,9.579,1,9.579,1.566,.220
213 Bgrp,186.225,3,62.075,10.151,.000
214 Agrp * Bgrp,20.212,3,6.737,1.102,.364
215 Error,183.457,30,6.115,,
217 Corrected Total,399.474,37,,,
219 Table: Tests of Between-Subjects Effects
220 Source,Type I Sum of Squares,df,Mean Square,F,Sig.
221 Corrected Model,216.017,7,30.860,5.046,.001
223 Bgrp,193.251,3,64.417,10.534,.000
224 Agrp,2.553,1,2.553,.418,.523
225 Bgrp * Agrp,20.212,3,6.737,1.102,.364
226 Error,183.457,30,6.115,,
228 Corrected Total,399.474,37,,,
232 AT_DATA([type2.sps], [dnl
233 include 'data-inc.sps'.
241 AT_CHECK([pspp -O format=csv type2.sps], [0],
243 Table: Tests of Between-Subjects Effects
244 Source,Type II Sum of Squares,df,Mean Square,F,Sig.
245 Corrected Model,216.017,7,30.860,5.046,.001
247 Agrp,2.553,1,2.553,.418,.523
248 Bgrp,186.225,3,62.075,10.151,.000
249 Agrp * Bgrp,20.212,3,6.737,1.102,.364
250 Error,183.457,30,6.115,,
252 Corrected Total,399.474,37,,,
259 AT_SETUP([GLM excluded intercept])
261 dnl The following example comes from
263 dnl Rudolf N. Cardinal
264 dnl Graduate-level statistics for psychology and neuroscience
265 dnl ANOVA in practice, and complex ANOVA designs
266 dnl Version of 2 May 2004
268 dnl Downloaded from: http://egret.psychol.cam.ac.uk/psychology/graduate/Guide_to_ANOVA.pdf
270 AT_DATA([intercept-exclude.sps], [dnl
273 data list notable list /depvar * A *.
308 AT_CHECK([pspp -O format=csv intercept-exclude.sps], [0],
310 Table: Tests of Between-Subjects Effects
311 Source,Type III Sum of Squares,df,Mean Square,F,Sig.
312 Model,1636.826,2,818.413,43.556,.000
313 A,1636.826,2,818.413,43.556,.000
314 Error,338.216,18,18.790,,
317 Table: Tests of Between-Subjects Effects
318 Source,Type III Sum of Squares,df,Mean Square,F,Sig.
319 Corrected Model,98.568,1,98.568,5.246,.034
320 Intercept,1538.258,1,1538.258,81.867,.000
321 A,98.568,1,98.568,5.246,.034
322 Error,338.216,18,18.790,,
324 Corrected Total,436.784,19,,,