AT_BANNER([ONEWAY procedure]) AT_SETUP([ONEWAY basic operation]) AT_DATA([oneway.sps], [DATA LIST NOTABLE LIST /QUALITY * BRAND * . BEGIN DATA 3 1 2 1 1 1 1 1 4 1 5 2 2 2 4 2 2 2 3 2 7 3 4 3 5 3 3 3 6 3 END DATA VARIABLE LABELS brand 'Manufacturer'. VARIABLE LABELS quality 'Breaking Strain'. VALUE LABELS /brand 1 'Aspeger' 2 'Bloggs' 3 'Charlies'. ONEWAY quality BY brand /STATISTICS descriptives homogeneity /CONTRAST = -2 1 1 /CONTRAST = 0 -1 1 . ]) AT_CHECK([pspp -O format=csv oneway.sps], [0], [Table: Descriptives ,,,,,,95% Confidence Interval for Mean,,, ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00 ,Bloggs,5,3.20,1.30,.58,1.58,4.82,2.00,5.00 ,Charlies,5,5.00,1.58,.71,3.04,6.96,3.00,7.00 ,Total,15,3.47,1.77,.46,2.49,4.45,1.00,7.00 Table: Test of Homogeneity of Variances ,Levene Statistic,df1,df2,Significance Breaking Strain,.09,2,12,.91 Table: ANOVA ,,Sum of Squares,df,Mean Square,F,Significance Breaking Strain,Between Groups,20.13,2,10.07,5.12,.02 ,Within Groups,23.60,12,1.97,, ,Total,43.73,14,,, Table: Contrast Coefficients ,,Manufacturer,, ,,Aspeger,Bloggs,Charlies Contrast,1,-2,1,1 ,2,0,-1,1 Table: Contrast Tests ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed) Breaking Strain,Assume equal variances,1,3.80,1.54,2.47,12,.03 ,,2,1.80,.89,2.03,12,.07 ,Does not assume equal,1,3.80,1.48,2.56,8.74,.03 ,,2,1.80,.92,1.96,7.72,.09 ]) AT_CLEANUP AT_SETUP([ONEWAY with splits]) AT_DATA([oneway-splits.sps], [DATA LIST NOTABLE LIST /QUALITY * BRAND * S *. BEGIN DATA 3 1 1 2 1 1 1 1 1 1 1 1 4 1 1 5 2 1 2 2 1 4 2 2 2 2 2 3 2 2 7 3 2 4 3 2 5 3 2 3 3 2 6 3 2 END DATA VARIABLE LABELS brand 'Manufacturer'. VARIABLE LABELS quality 'Breaking Strain'. VALUE LABELS /brand 1 'Aspeger' 2 'Bloggs' 3 'Charlies'. SPLIT FILE by s. ONEWAY quality BY brand /STATISTICS descriptives homogeneity /CONTRAST = -2 2 /CONTRAST = -1 1 . ]) AT_CHECK([pspp -O format=csv oneway-splits.sps], [0], [Variable,Value,Label S,1.00, Table: Descriptives ,,,,,,95% Confidence Interval for Mean,,, ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00 ,Bloggs,2,3.50,2.12,1.50,-15.56,22.56,2.00,5.00 ,Total,7,2.57,1.51,.57,1.17,3.97,1.00,5.00 Table: Test of Homogeneity of Variances ,Levene Statistic,df1,df2,Significance Breaking Strain,1.09,1,5,.35 Table: ANOVA ,,Sum of Squares,df,Mean Square,F,Significance Breaking Strain,Between Groups,2.41,1,2.41,1.07,.35 ,Within Groups,11.30,5,2.26,, ,Total,13.71,6,,, Table: Contrast Coefficients ,,Manufacturer, ,,Aspeger,Bloggs Contrast,1,-2,2 ,2,-1,1 Table: Contrast Tests ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed) Breaking Strain,Assume equal variances,1,2.60,2.52,1.03,5,.35 ,,2,1.30,1.26,1.03,5,.35 ,Does not assume equal,1,2.60,3.22,.81,1.32,.54 ,,2,1.30,1.61,.81,1.32,.54 Variable,Value,Label S,2.00, Table: Descriptives ,,,,,,95% Confidence Interval for Mean,,, ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum Breaking Strain,Bloggs,3,3.00,1.00,.58,.52,5.48,2.00,4.00 ,Charlies,5,5.00,1.58,.71,3.04,6.96,3.00,7.00 ,Total,8,4.25,1.67,.59,2.85,5.65,2.00,7.00 Table: Test of Homogeneity of Variances ,Levene Statistic,df1,df2,Significance Breaking Strain,.92,1,6,.37 Table: ANOVA ,,Sum of Squares,df,Mean Square,F,Significance Breaking Strain,Between Groups,7.50,1,7.50,3.75,.10 ,Within Groups,12.00,6,2.00,, ,Total,19.50,7,,, Table: Contrast Coefficients ,,Manufacturer, ,,Bloggs,Charlies Contrast,1,-2,2 ,2,-1,1 Table: Contrast Tests ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed) Breaking Strain,Assume equal variances,1,4.00,2.07,1.94,6,.10 ,,2,2.00,1.03,1.94,6,.10 ,Does not assume equal,1,4.00,1.83,2.19,5.88,.07 ,,2,2.00,.91,2.19,5.88,.07 ]) AT_CLEANUP AT_SETUP([ONEWAY with missing values]) dnl Check that missing are treated properly AT_DATA([oneway-missing1.sps], [DATA LIST NOTABLE LIST /v1 * v2 * dep * vn *. BEGIN DATA . . 1 4 3 3 1 2 2 2 1 2 1 1 1 2 1 1 1 2 4 4 1 2 5 5 2 2 2 2 2 2 4 4 2 2 2 2 2 2 3 3 2 2 7 7 3 2 4 4 3 2 5 5 3 2 3 3 3 2 6 6 3 2 END DATA ONEWAY v1 v2 BY dep /STATISTICS descriptives homogeneity /MISSING ANALYSIS . ]) AT_DATA([oneway-missing2.sps], [DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * . BEGIN DATA 4 . 1 2 3 3 1 2 2 2 1 2 1 1 1 2 1 1 1 2 4 4 1 2 5 5 2 2 2 2 2 2 4 4 2 2 2 2 2 2 3 3 2 2 7 7 3 2 4 4 3 2 5 5 3 2 3 3 3 2 6 6 3 2 END DATA ONEWAY v1 v2 BY dep /STATISTICS descriptives homogeneity /MISSING LISTWISE . ]) AT_CHECK([pspp -O format=csv oneway-missing1.sps > first.out], [0]) AT_CHECK([pspp -O format=csv oneway-missing2.sps > second.out], [0]) AT_CHECK([diff first.out second.out], [0], []) dnl Now a test with missing values in the independent variable AT_DATA([oneway-missing3.sps], [DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * . BEGIN DATA 4 2 . 2 3 3 1 2 2 2 1 2 1 1 1 2 1 1 1 2 4 4 1 2 5 5 2 2 2 2 2 2 4 4 2 2 2 2 2 2 3 3 2 2 7 7 3 2 4 4 3 2 5 5 3 4 3 3 3 2 6 6 3 2 END DATA ONEWAY v1 v2 BY dep /STATISTICS descriptives homogeneity /MISSING ANALYSIS . ]) AT_CHECK([pspp -O format=csv oneway-missing3.sps > third.out], [0]) AT_CHECK([diff first.out third.out], [0], []) AT_CLEANUP