AT_BANNER([CROSSTABS procedure]) AT_SETUP([CROSSTABS integer mode crash]) AT_DATA([crosstabs.sps], [DATA LIST LIST /A * B * X * Y * . BEGIN DATA. 2 3 4 5 END DATA. CROSSTABS VARIABLES X (1,7) Y (1,7) /TABLES X BY Y. ]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [[Table: Reading free-form data from INLINE. Variable,Format A,F8.0 B,F8.0 X,F8.0 Y,F8.0 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent X * Y,1,100.0%,0,0.0%,1,100.0% Table: X * Y [count]. ,Y,,,,,,, X,1.00,2.00,3.00,4.00,5.00,6.00,7.00,Total 1.00,.00,.00,.00,.00,.00,.00,.00,.00 2.00,.00,.00,.00,.00,.00,.00,.00,.00 3.00,.00,.00,.00,.00,.00,.00,.00,.00 4.00,.00,.00,.00,.00,1.00,.00,.00,1.00 5.00,.00,.00,.00,.00,.00,.00,.00,.00 6.00,.00,.00,.00,.00,.00,.00,.00,.00 7.00,.00,.00,.00,.00,.00,.00,.00,.00 Total,.00,.00,.00,.00,1.00,.00,.00,1.00 ]]) AT_CLEANUP # Bug #22037. AT_SETUP([CROSSTABS long string crash]) AT_DATA([crosstabs.sps], [data list list /x * y (a18). begin data. 1. 'zero none' 1 'one unity' 2 'two duality' 3 'three lots' end data. CROSSTABS /TABLES = x BY y. ]) AT_CHECK([pspp -o - -O format=csv crosstabs.sps], [0], [[Table: Reading free-form data from INLINE. Variable,Format x,F8.0 y,A18 "crosstabs.sps:4: warning: Missing value(s) for all variables from x onward. These will be filled with the system-missing value or blanks, as appropriate." "crosstabs.sps:6: warning: Missing value(s) for all variables from x onward. These will be filled with the system-missing value or blanks, as appropriate." Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,4,66.7%,2,33.3%,6,100.0% Table: x * y [count]. ,y,,,, x,one unity ,three lots ,two duality ,zero none ,Total 1.00,1.00,.00,.00,1.00,2.00 2.00,.00,.00,1.00,.00,1.00 3.00,.00,1.00,.00,.00,1.00 Total,1.00,1.00,1.00,1.00,4.00 ]]) AT_CLEANUP AT_SETUP([CROSSTABS crash]) AT_DATA([crosstabs.sps], [[DATA LIST FIXED / x 1-2 y 3 z 4. BEGIN DATA. 0111 0222 0311 0412 0521 0612 0711 0811 0912 END DATA. LIST. CROSSTABS TABLES y by z. ]]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [[Table: Reading 1 record from INLINE. Variable,Record,Columns,Format x,1,1- 2,F2.0 y,1,3- 3,F1.0 z,1,4- 4,F1.0 Table: Data List x,y,z 1,1,1 2,2,2 3,1,1 4,1,2 5,2,1 6,1,2 7,1,1 8,1,1 9,1,2 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent y * z,9,100.0%,0,0.0%,9,100.0% Table: y * z [count]. ,z,, y,1,2,Total 1,4.00,3.00,7.00 2,1.00,1.00,2.00 Total,5.00,4.00,9.00 ]]) AT_CLEANUP # Bug #26739, which caused CROSSTABS to crash or to fail to output # chi-square results. AT_SETUP([CROSSTABS chi-square crash]) AT_DATA([crosstabs.sps], [[DATA LIST LIST /x * y *. BEGIN DATA. 2 2 3 1 4 2 4 1 END DATA. CROSSTABS /TABLES= x BY y /STATISTICS=CHISQ. ]]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [[Table: Reading free-form data from INLINE. Variable,Format x,F8.0 y,F8.0 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,4,100.0%,0,0.0%,4,100.0% Table: x * y [count]. ,y,, x,1.00,2.00,Total 2.00,.00,1.00,1.00 3.00,1.00,.00,1.00 4.00,1.00,1.00,2.00 Total,2.00,2.00,4.00 Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed) Pearson Chi-Square,2.00,2,.368 Likelihood Ratio,2.77,2,.250 Linear-by-Linear Association,.27,1,.602 N of Valid Cases,4,, ]]) AT_CLEANUP # Bug #27883. AT_SETUP([CROSSTABS crash with SPLIT FILE]) AT_DATA([crosstabs.sps], [data list notable / v0 to v2 1-6 (A) begin data. a c e a c e a c e a d e a d f b d f b d f b c f b d e a c f end data. SORT CASES BY v0. SPLIT FILE SEPARATE BY v0. CROSSTABS /TABLES= v1 BY v2 /FORMAT=AVALUE TABLES PIVOT /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN TOTAL. ]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [[Variable,Value,Label v0,a , Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent v1 * v2,6,100.0%,0,0.0%,6,100.0% "Table: v1 * v2 [count, row %, column %, total %]." ,v2,, v1,e ,f ,Total c ,3.00,1.00,4.00 ,75.00%,25.00%,100.00% ,75.00%,50.00%,66.67% ,50.00%,16.67%,66.67% d ,1.00,1.00,2.00 ,50.00%,50.00%,100.00% ,25.00%,50.00%,33.33% ,16.67%,16.67%,33.33% Total,4.00,2.00,6.00 ,66.67%,33.33%,100.00% ,100.00%,100.00%,100.00% ,66.67%,33.33%,100.00% Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed),Exact Sig. (2-tailed),Exact Sig. (1-tailed) Pearson Chi-Square,.38,1,.540,, Likelihood Ratio,.37,1,.545,, Fisher's Exact Test,,,,1.000,.600 Continuity Correction,.00,1,1.000,, N of Valid Cases,6,,,, Variable,Value,Label v0,b , Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent v1 * v2,4,100.0%,0,0.0%,4,100.0% "Table: v1 * v2 [count, row %, column %, total %]." ,v2,, v1,e ,f ,Total c ,.00,1.00,1.00 ,.00%,100.00%,100.00% ,.00%,33.33%,25.00% ,.00%,25.00%,25.00% d ,1.00,2.00,3.00 ,33.33%,66.67%,100.00% ,100.00%,66.67%,75.00% ,25.00%,50.00%,75.00% Total,1.00,3.00,4.00 ,25.00%,75.00%,100.00% ,100.00%,100.00%,100.00% ,25.00%,75.00%,100.00% Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed),Exact Sig. (2-tailed),Exact Sig. (1-tailed) Pearson Chi-Square,.44,1,.505,, Likelihood Ratio,.68,1,.410,, Fisher's Exact Test,,,,1.000,.750 Continuity Correction,.00,1,1.000,, N of Valid Cases,4,,,, ]]) AT_CLEANUP # Bug #24752. AT_SETUP([3-way CROSSTABS]) AT_DATA([crosstabs.sps], [[DATA LIST FIXED / x 1-2 y 3 z 4. BEGIN DATA. 0111 0222 0311 0412 0521 0612 0711 0811 0912 END DATA. LIST. CROSSTABS TABLES x BY y BY z/STATISTICS=ALL. ]]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [[Table: Reading 1 record from INLINE. Variable,Record,Columns,Format x,1,1- 2,F2.0 y,1,3- 3,F1.0 z,1,4- 4,F1.0 Table: Data List x,y,z 1,1,1 2,2,2 3,1,1 4,1,2 5,2,1 6,1,2 7,1,1 8,1,1 9,1,2 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y * z,9,100.0%,0,0.0%,9,100.0% Table: x * y * z [count]. z,,y,, ,x,1,2,Total 1,1,1.00,.00,1.00 ,3,1.00,.00,1.00 ,5,.00,1.00,1.00 ,7,1.00,.00,1.00 ,8,1.00,.00,1.00 Total,,4.00,1.00,5.00 2,2,.00,1.00,1.00 ,4,1.00,.00,1.00 ,6,1.00,.00,1.00 ,9,1.00,.00,1.00 Total,,3.00,1.00,4.00 Table: Chi-square tests. z,Statistic,Value,df,Asymp. Sig. (2-tailed) 1,Pearson Chi-Square,5.00,4,.287 ,Likelihood Ratio,5.00,4,.287 ,Linear-by-Linear Association,.01,1,.938 ,N of Valid Cases,5,, 2,Pearson Chi-Square,4.00,3,.261 ,Likelihood Ratio,4.50,3,.212 ,Linear-by-Linear Association,1.58,1,.209 ,N of Valid Cases,4,, Table: Symmetric measures. z,Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. 1,Nominal by Nominal,Phi,1.00,,, ,,Cramer's V,1.00,,, ,,Contingency Coefficient,.71,,, ,Ordinal by Ordinal,Kendall's tau-b,.00,.32,.00, ,,Kendall's tau-c,.00,.32,.00, ,,Gamma,.00,.50,.00, ,,Spearman Correlation,.00,.22,.00, ,Interval by Interval,Pearson's R,.04,.22,.07, ,N of Valid Cases,,5,,, 2,Nominal by Nominal,Phi,1.00,,, ,,Cramer's V,1.00,,, ,,Contingency Coefficient,.71,,, ,Ordinal by Ordinal,Kendall's tau-b,-.71,.20,-1.73, ,,Kendall's tau-c,-.75,.43,-1.73, ,,Gamma,-1.00,.00,-1.73, ,,Spearman Correlation,-.77,.17,-1.73, ,Interval by Interval,Pearson's R,-.73,.18,-1.49, ,N of Valid Cases,,4,,, Table: Directional measures. z,Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. 1,Nominal by Nominal,Lambda,Symmetric,.40,.28,1.12,.264 ,,,x Dependent,.25,.22,1.12,.264 ,,,y Dependent,1.00,.00,1.12,.264 ,,Goodman and Kruskal tau,x Dependent,.25,,,. @&t@ ,,,y Dependent,1.00,,,. @&t@ ,,Uncertainty Coefficient,Symmetric,.47,.18,,. @&t@ ,,,x Dependent,.31,.15,2.02,. @&t@ ,,,y Dependent,1.00,.00,2.02,. @&t@ ,Ordinal by Ordinal,Somers' d,Symmetric,.00,,.00,1.000 ,,,x Dependent,.00,.50,.00,1.000 ,,,y Dependent,.00,.20,.00,1.000 ,Nominal by Interval,Eta,x Dependent,.04,,,. @&t@ ,,,y Dependent,1.00,,,. @&t@ 2,Nominal by Nominal,Lambda,Symmetric,.50,.25,2.00,.046 ,,,x Dependent,.33,.27,1.15,.248 ,,,y Dependent,1.00,.00,1.15,.248 ,,Goodman and Kruskal tau,x Dependent,.33,,,. @&t@ ,,,y Dependent,1.00,,,. @&t@ ,,Uncertainty Coefficient,Symmetric,.58,.17,,. @&t@ ,,,x Dependent,.41,.17,2.36,. @&t@ ,,,y Dependent,1.00,.00,2.36,. @&t@ ,Ordinal by Ordinal,Somers' d,Symmetric,-.67,,-1.73,.083 ,,,x Dependent,-1.00,.00,-1.73,.083 ,,,y Dependent,-.50,.29,-1.73,.083 ,Nominal by Interval,Eta,x Dependent,.73,,,. @&t@ ,,,y Dependent,1.00,,,. @&t@ ]]) AT_CLEANUP AT_SETUP([CROSSTABS descending sort order]) AT_DATA([crosstabs-descending.sps], [[DATA LIST NOTABLE LIST /x * y *. BEGIN DATA. 2 2 2 2 3 1 4 1 3 2 3 2 END DATA. CROSSTABS /TABLES= x BY y /FORMAT = DVALUE. ]]) AT_CHECK([pspp -O format=csv crosstabs-descending.sps], [0], [[Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,6,100.0%,0,0.0%,6,100.0% Table: x * y [count]. ,y,, x,2.00,1.00,Total 4.00,.00,1.00,1.00 3.00,2.00,1.00,3.00 2.00,2.00,.00,2.00 Total,4.00,2.00,6.00 ]]) AT_CLEANUP # Bug #31260. AT_SETUP([CROSSTABS crash when all cases missing]) AT_DATA([crosstabs.sps], [dnl DATA LIST LIST NOTABLE /X1 X2. BEGIN DATA. 1 1 END DATA. MISSING VALUES x2 (1). CROSSTABS /TABLES= X1 by X2. ]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent X1 * X2,0,0.0%,1,100.0%,1,100.0% crosstabs.sps:8: warning: CROSSTABS: Crosstabulation X1 * X2 contained no non-missing cases. ]) AT_CLEANUP dnl This example comes from http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm#chisq AT_SETUP([CROSSTABS Fisher Exact Test]) AT_DATA([fisher-exact.sps], [dnl SET FORMAT F12.3. SET DECIMAL DOT. DATA LIST notable LIST /schtyp (F9.2) female (F9.2) ses (F9.2) . begin data. 1.00 .00 1.00 1.00 1.00 2.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 1.00 1.00 .00 1.00 1.00 .00 3.00 2.00 .00 2.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 2.00 .00 2.00 2.00 .00 3.00 1.00 .00 1.00 1.00 .00 2.00 1.00 .00 3.00 2.00 .00 3.00 1.00 .00 2.00 2.00 .00 3.00 1.00 .00 3.00 2.00 .00 2.00 1.00 .00 3.00 1.00 .00 1.00 1.00 .00 2.00 2.00 .00 2.00 2.00 .00 2.00 1.00 .00 2.00 1.00 .00 1.00 1.00 .00 3.00 1.00 .00 1.00 1.00 .00 3.00 1.00 .00 2.00 2.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 2.00 2.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 1.00 1.00 .00 2.00 2.00 .00 2.00 1.00 .00 2.00 2.00 .00 2.00 1.00 .00 3.00 1.00 .00 1.00 1.00 .00 2.00 2.00 .00 3.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 1.00 1.00 .00 1.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 2.00 1.00 .00 1.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 1.00 2.00 .00 2.00 1.00 .00 1.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 3.00 1.00 .00 2.00 1.00 .00 1.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 2.00 1.00 3.00 1.00 1.00 3.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 1.00 2.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 3.00 2.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 2.00 1.00 3.00 1.00 1.00 2.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 2.00 1.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 2.00 2.00 1.00 3.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 3.00 2.00 1.00 2.00 1.00 1.00 3.00 2.00 1.00 2.00 2.00 1.00 2.00 1.00 1.00 2.00 2.00 1.00 2.00 1.00 1.00 2.00 1.00 1.00 3.00 end data. VARIABLE LABEL schtyp 'type of school'. ADD VALUE LABELS female 0 male 1 female. ADD VALUE LABELS ses 1 low 2 middle 3 high. ADD VALUE LABELS schtyp 1 public 2 private. crosstabs /tables = schtyp by female /statistic = chisq. crosstabs /tables = female by ses /statistic = chisq. ]) AT_CHECK([pspp -O format=csv fisher-exact.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent type of school * female,200,100.0%,0,0.0%,200,100.0% Table: type of school * female [[count]]. ,female,, type of school,male,female,Total public,77.000,91.000,168.000 private,14.000,18.000,32.000 Total,91.000,109.000,200.000 Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed),Exact Sig. (2-tailed),Exact Sig. (1-tailed) Pearson Chi-Square,.047,1,.828,, Likelihood Ratio,.047,1,.828,, Fisher's Exact Test,,,,.849,.492 Continuity Correction,.001,1,.981,, Linear-by-Linear Association,.047,1,.829,, N of Valid Cases,200,,,, Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent female * ses,200,100.0%,0,0.0%,200,100.0% Table: female * ses [[count]]. ,ses,,, female,low,middle,high,Total male,15.000,47.000,29.000,91.000 female,32.000,48.000,29.000,109.000 Total,47.000,95.000,58.000,200.000 Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed) Pearson Chi-Square,4.577,2,.101 Likelihood Ratio,4.679,2,.096 Linear-by-Linear Association,3.110,1,.078 N of Valid Cases,200,, ]) AT_CLEANUP AT_SETUP([CROSSTABS Pearson's R]) # Test 1. AT_DATA([pearson.sps], [dnl SET FORMAT F8.3. * From http://www.statisticslectures.com/topics/pearsonr/. DATA LIST FREE/x y. BEGIN DATA. 1 4 3 6 5 10 5 12 6 13 END DATA. CROSSTABS x BY y/STATISTICS=CORR. ]) AT_CHECK([pspp -O format=csv pearson.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,5,100.0%,0,0.0%,5,100.0% Table: x * y [[count]]. ,y,,,,, x,4.000,6.000,10.000,12.000,13.000,Total 1.000,1.000,.000,.000,.000,.000,1.000 3.000,.000,1.000,.000,.000,.000,1.000 5.000,.000,.000,1.000,1.000,.000,2.000 6.000,.000,.000,.000,.000,1.000,1.000 Total,1.000,1.000,1.000,1.000,1.000,5.000 Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Spearman Correlation,.975,.022,7.550, Interval by Interval,Pearson's R,.968,.017,6.708, N of Valid Cases,,5,,, ]) # Test 2. AT_DATA([pearson2.sps], [dnl SET FORMAT F8.3. * Checked with http://www.socscistatistics.com/tests/pearson/Default2.aspx. DATA LIST FREE/x y. BEGIN DATA. 1 1.5 2 1.5 3 4 4 6 5 5 6 7 7 6.5 8 9 9 10.5 10 11 END DATA. CROSSTABS x BY y/STATISTICS=CORR. ]) AT_CHECK([pspp -O format=csv pearson2.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,10,100.0%,0,0.0%,10,100.0% Table: x * y [[count]]. ,y,,,,,,,,, x,1.500,4.000,5.000,6.000,6.500,7.000,9.000,10.500,11.000,Total 1.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 2.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 3.000,.000,1.000,.000,.000,.000,.000,.000,.000,.000,1.000 4.000,.000,.000,.000,1.000,.000,.000,.000,.000,.000,1.000 5.000,.000,.000,1.000,.000,.000,.000,.000,.000,.000,1.000 6.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,1.000 7.000,.000,.000,.000,.000,1.000,.000,.000,.000,.000,1.000 8.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,1.000 9.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,1.000 10.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,1.000 Total,2.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,10.000 Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Spearman Correlation,.973,.015,11.844, Interval by Interval,Pearson's R,.971,.017,11.580, N of Valid Cases,,10,,, ]) # Test 3. AT_DATA([pearson3.sps], [dnl SET FORMAT F8.3. * From http://learntech.uwe.ac.uk/da/Default.aspx?pageid=1442. DATA LIST FREE/x y. BEGIN DATA. 56 87 56 91 65 85 65 91 50 75 25 28 87 122 44 66 35 58 END DATA. CROSSTABS x BY y/STATISTICS=CORR. ]) AT_CHECK([pspp -O format=csv pearson3.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,9,100.0%,0,0.0%,9,100.0% Table: x * y [[count]]. ,y,,,,,,,, x,28.000,58.000,66.000,75.000,85.000,87.000,91.000,122.000,Total 25.000,1.000,.000,.000,.000,.000,.000,.000,.000,1.000 35.000,.000,1.000,.000,.000,.000,.000,.000,.000,1.000 44.000,.000,.000,1.000,.000,.000,.000,.000,.000,1.000 50.000,.000,.000,.000,1.000,.000,.000,.000,.000,1.000 56.000,.000,.000,.000,.000,.000,1.000,1.000,.000,2.000 65.000,.000,.000,.000,.000,1.000,.000,1.000,.000,2.000 87.000,.000,.000,.000,.000,.000,.000,.000,1.000,1.000 Total,1.000,1.000,1.000,1.000,1.000,1.000,2.000,1.000,9.000 Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Spearman Correlation,.911,.068,5.860, Interval by Interval,Pearson's R,.966,.017,9.915, N of Valid Cases,,9,,, ]) # Test 4. AT_DATA([pearson4.sps], [dnl SET FORMAT F8.3. * From http://psychology.ucdavis.edu/faculty_sites/sommerb/sommerdemo/correlation/hand/pearson_hand.htm. DATA LIST FREE/x y. BEGIN DATA. 5 5 10 20 6 4 8 15 4 11 4 9 3 12 10 18 2 7 6 2 7 14 9 17 END DATA. CROSSTABS x BY y/STATISTICS=CORR. ]) AT_CHECK([pspp -O format=csv pearson4.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,12,100.0%,0,0.0%,12,100.0% Table: x * y [[count]]. ,y,,,,,,,,,,,, x,2.000,4.000,5.000,7.000,9.000,11.000,12.000,14.000,15.000,17.000,18.000,20.000,Total 2.000,.000,.000,.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 3.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,.000,.000,1.000 4.000,.000,.000,.000,.000,1.000,1.000,.000,.000,.000,.000,.000,.000,2.000 5.000,.000,.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 6.000,1.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,2.000 7.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,.000,1.000 8.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,1.000 9.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,1.000 10.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,1.000,2.000 Total,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,12.000 Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Spearman Correlation,.657,.140,2.758, Interval by Interval,Pearson's R,.667,.132,2.830, N of Valid Cases,,12,,, ]) # Test 5. AT_DATA([pearson5.sps], [dnl SET FORMAT F8.3. * From http://www.statisticslectures.com/topics/pearsonr/. DATA LIST FREE/x y. BEGIN DATA. 18 15000 25 29000 57 68000 45 52000 26 32000 64 80000 37 41000 40 45000 24 26000 33 33000 END DATA. CROSSTABS x BY y/STATISTICS=CORR. ]) AT_CHECK([pspp -O format=csv pearson5.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,10,100.0%,0,0.0%,10,100.0% Table: x * y [[count]]. ,y,,,,,,,,,, x,15000.000,26000.000,29000.000,32000.000,33000.000,41000.000,45000.000,52000.000,68000.000,80000.000,Total 18.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 24.000,.000,1.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000 25.000,.000,.000,1.000,.000,.000,.000,.000,.000,.000,.000,1.000 26.000,.000,.000,.000,1.000,.000,.000,.000,.000,.000,.000,1.000 33.000,.000,.000,.000,.000,1.000,.000,.000,.000,.000,.000,1.000 37.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,.000,1.000 40.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,.000,1.000 45.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,.000,1.000 57.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,.000,1.000 64.000,.000,.000,.000,.000,.000,.000,.000,.000,.000,1.000,1.000 Total,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,1.000,10.000 Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Spearman Correlation,1.000,.000,+Infinity, Interval by Interval,Pearson's R,.992,.004,22.638, N of Valid Cases,,10,,, ]) AT_CLEANUP AT_SETUP([CROSSTABS Goodman and Kruskal's lambda]) AT_DATA([lambda.sps], [dnl SET FORMAT F8.3. * From http://www.csupomona.edu/~jlkorey/POWERMUTT/Topics/contingency_tables.html. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 424 1 2 213 1 3 59 3 1 55 3 2 188 3 3 357 END DATA. CROSSTABS x BY y/CELLS=NONE/STATISTICS=LAMBDA. * From http://vassarstats.net. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 19 1 2 26 1 3 8 2 1 21 2 2 13 2 3 5 3 1 6 3 2 12 3 3 27 END DATA. CROSSTABS x BY y/CELLS=NONE/STATISTICS=LAMBDA. * From Goodman, L.A., Kruskal, W.H. (1954) "Measures of association for cross classifications". Part I. Journal of the American Statistical Association, 49, 732-764. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 1768 1 2 807 1 3 189 1 4 47 2 1 946 2 2 1387 2 3 746 2 4 53 3 1 115 3 2 438 3 3 288 3 4 16 END DATA. CROSSTABS x BY y/CELLS=NONE/STATISTICS=LAMBDA. ]) AT_CHECK([pspp -O format=csv lambda.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,1296.000,100.0%,.000,0.0%,1296.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.423,.021,16.875,.000 ,,x Dependent,.497,.024,15.986,.000 ,,y Dependent,.370,.020,16.339,.000 ,Goodman and Kruskal tau,x Dependent,.382,,,. @&t@ ,,y Dependent,.198,,,. @&t@ Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,137.000,100.0%,.000,0.0%,137.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.259,.081,2.902,.004 ,,x Dependent,.250,.089,2.479,.013 ,,y Dependent,.267,.085,2.766,.006 ,Goodman and Kruskal tau,x Dependent,.129,,,. @&t@ ,,y Dependent,.123,,,. @&t@ Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,6800.000,100.0%,.000,0.0%,6800.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.208,.010,18.793,.000 ,,x Dependent,.224,.013,16.076,.000 ,,y Dependent,.192,.012,14.438,.000 ,Goodman and Kruskal tau,x Dependent,.089,,,. @&t@ ,,y Dependent,.081,,,. @&t@ ]) AT_CLEANUP AT_SETUP([CROSSTABS Goodman and Kruskal's lambda - treatment of ties]) AT_DATA([lambda.sps], [dnl SET FORMAT F8.3. * From Douglas Bonett. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 225 1 2 43 1 3 216 2 1 3 2 2 1 2 3 12 END DATA. CROSSTABS x BY y/CELLS=NONE/STATISTICS=LAMBDA. ]) AT_CHECK([pspp -O format=csv lambda.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,500.000,100.0%,.000,0.0%,500.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.031,.013,2.336,.019 ,,x Dependent,.000,.000,NaN,NaN ,,y Dependent,.033,.014,2.336,.019 ,Goodman and Kruskal tau,x Dependent,.012,,,. @&t@ ,,y Dependent,.009,,,. @&t@ ]) AT_CLEANUP AT_SETUP([CROSSTABS Somers' D, Tau-B, Tau-C, Gamma]) AT_DATA([somersd.sps], [dnl SET FORMAT F8.3. * From http://stats.stackexchange.com/questions/72203/problem-with-calculating-asymptotic-standard-error-for-somers-d. DATA LIST LIST NOTABLE/x y * w (F10.6). WEIGHT BY w. BEGIN DATA. 1 1 0.000025 1 2 0.0001 1 3 0.001 1 4 0.0025 1 5 0.004 1 6 0.0075 1 7 0.0125 2 1 0.049975 2 2 0.0999 2 3 0.199 2 4 0.2475 2 5 0.196 2 6 0.1425 2 7 0.0375 END DATA. CROSSTABS x BY y/STATISTICS=D/CELLS=NONE. * From http://uregina.ca/~gingrich/gamma.pdf. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 34 1 2 24 1 3 15 2 1 42 2 2 74 2 3 67 3 1 28 3 2 111 3 3 292 END DATA. CROSSTABS x BY y/STATISTICS=BTAU CTAU GAMMA D/CELLS=NONE. ]) AT_CHECK([pspp -O format=csv somersd.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,1.000000,100.0%,.000000,0.0%,1.000000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,-.084,,-.149,.882 ,,x Dependent,-.045,.300,-.149,.882 ,,y Dependent,-.684,2.378,-.149,.882 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,687.000,100.0%,.000,0.0%,687.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,.372,.033,10.669, ,Kendall's tau-c,.310,.029,10.669, ,Gamma,.591,.043,10.669, N of Valid Cases,,687.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,.371,,10.669,.000 ,,x Dependent,.351,.032,10.669,.000 ,,y Dependent,.394,.035,10.669,.000 ]) AT_DATA([ordinal.sps], [dnl SET FORMAT F8.3. * From https://www.iup.edu/WorkArea/DownloadAsset.aspx?id=9829, "Case 1". DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 2 40 2 3 80 3 4 30 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 2. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 1 40 2 3 80 3 4 30 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 3. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 4 40 2 3 80 3 2 30 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 4. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 1 20 1 2 20 2 3 80 3 4 30 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 5. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 2 40 2 2 80 3 2 29 3 3 1 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 6. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 1 3 1 2 6 1 3 28 1 4 61 2 1 4 2 2 5 2 3 21 2 4 20 END DATA. CROSSTABS x BY y/STATISTICS=GAMMA D BTAU/CELLS=NONE. * Same site, case 7. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 1 38 1 2 6 1 3 3 1 4 51 2 1 4 2 2 20 2 3 21 2 4 5 END DATA. CROSSTABS x BY y/STATISTICS=LAMBDA D PHI GAMMA/CELLS=NONE. * Same site, case 8. DATA LIST LIST NOTABLE /x y w. WEIGHT BY w. BEGIN DATA. 1 1 2 1 2 3 1 3 5 1 4 1 2 1 2 2 2 16 2 3 3 2 4 6 3 1 3 3 2 10 3 3 35 3 4 27 4 1 6 4 2 15 4 3 33 4 4 45 END DATA. CROSSTABS x BY y/STATISTICS=LAMBDA D PHI BTAU/CELLS=NONE. ]) AT_CHECK([pspp -O format=csv ordinal.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,150.000,100.0%,.000,0.0%,150.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,1.000,.000,24.841, ,Gamma,1.000,.000,24.841, N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841,.000 ,,x Dependent,1.000,.000,24.841,.000 ,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,150.000,100.0%,.000,0.0%,150.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,1.000,.000,24.841, ,Gamma,1.000,.000,24.841, N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,1.000,,24.841,.000 ,,x Dependent,1.000,.000,24.841,.000 ,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,150.000,100.0%,.000,0.0%,150.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,-1.000,.000,-24.841, ,Gamma,-1.000,.000,-24.841, N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,-1.000,,-24.841,.000 ,,x Dependent,-1.000,.000,-24.841,.000 ,,y Dependent,-1.000,.000,-24.841,.000 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,150.000,100.0%,.000,0.0%,150.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,.972,.007,24.841, ,Gamma,1.000,.000,24.841, N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,.971,,24.841,.000 ,,x Dependent,.944,.013,24.841,.000 ,,y Dependent,1.000,.000,24.841,.000 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,150.000,100.0%,.000,0.0%,150.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,.119,.059,1.009, ,Gamma,1.000,.000,1.009, N of Valid Cases,,150.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,.035,,1.009,.313 ,,x Dependent,.805,.032,1.009,.313 ,,y Dependent,.018,.017,1.009,.313 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,148.000,100.0%,.000,0.0%,148.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Kendall's tau-b,-.208,.078,-2.641, ,Gamma,-.381,.130,-2.641, N of Valid Cases,,148.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Ordinal by Ordinal,Somers' d,Symmetric,-.206,,-2.641,.008 ,,x Dependent,-.182,.069,-2.641,.008 ,,y Dependent,-.237,.089,-2.641,.008 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,148.000,100.0%,.000,0.0%,148.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Phi,.731,,, ,Cramer's V,.731,,, Ordinal by Ordinal,Gamma,-.110,.107,-1.022, N of Valid Cases,,148.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.338,.059,4.743,.000 ,,x Dependent,.640,.085,4.875,.000 ,,y Dependent,.174,.050,3.248,.001 ,Goodman and Kruskal tau,x Dependent,.534,,,. @&t@ ,,y Dependent,.167,,,. @&t@ Ordinal by Ordinal,Somers' d,Symmetric,-.074,,-1.022,.307 ,,x Dependent,-.060,.059,-1.022,.307 ,,y Dependent,-.096,.094,-1.022,.307 Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,212.000,100.0%,.000,0.0%,212.000,100.0% Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Phi,.432,,, ,Cramer's V,.249,,, Ordinal by Ordinal,Kendall's tau-b,.209,.062,3.338, N of Valid Cases,,212.000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.102,.067,1.473,.141 ,,x Dependent,.027,.087,.302,.763 ,,y Dependent,.165,.065,2.349,.019 ,Goodman and Kruskal tau,x Dependent,.051,,,. @&t@ ,,y Dependent,.068,,,. @&t@ Ordinal by Ordinal,Somers' d,Symmetric,.209,,3.338,.001 ,,x Dependent,.202,.060,3.338,.001 ,,y Dependent,.217,.064,3.338,.001 ]) AT_CLEANUP AT_SETUP([CROSSTABS many statistics]) AT_DATA([crosstabs.sps], [dnl SET FORMAT=F8.4. * From http://www4.stat.ncsu.edu/~dzhang2/st744/table3.9.lst.txt. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 25 1 2 25 1 3 12 2 2 1 2 3 3 END DATA. CROSSTABS x BY y/STATISTICS=CHISQ PHI CC LAMBDA UC BTAU CTAU GAMMA D CORR/CELLS=NONE. ]) AT_CHECK([pspp -O format=csv crosstabs.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,66.0000,100.0%,.0000,0.0%,66.0000,100.0% Table: Chi-square tests. Statistic,Value,df,Asymp. Sig. (2-tailed) Pearson Chi-Square,6.9562,2.0000,.031 Likelihood Ratio,6.6901,2.0000,.035 Linear-by-Linear Association,5.8450,1.0000,.016 N of Valid Cases,66.0000,, Table: Symmetric measures. Category,Statistic,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Phi,.3246,,, ,Cramer's V,.3246,,, ,Contingency Coefficient,.3088,,, Ordinal by Ordinal,Kendall's tau-b,.2752,.0856,1.9920, ,Kendall's tau-c,.1497,.0751,1.9920, ,Gamma,.8717,.1250,1.9920, ,Spearman Correlation,.2908,.0906,2.4311, Interval by Interval,Pearson's R,.2999,.0973,2.5147, N of Valid Cases,,66.0000,,, Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.0455,.1629,.2723,.785 ,,x Dependent,.0000,.0000,NaN,NaN ,,y Dependent,.0500,.1791,.2723,.785 ,Goodman and Kruskal tau,x Dependent,.1054,,,. @&t@ ,,y Dependent,.0434,,,. @&t@ ,Uncertainty Coefficient,Symmetric,.0780,.0474,,. @&t@ ,,x Dependent,.2217,.1062,1.5373,. @&t@ ,,y Dependent,.0473,.0306,1.5373,. @&t@ Ordinal by Ordinal,Somers' d,Symmetric,.1960,,1.9920,.046 ,,x Dependent,.1152,.0572,1.9920,.046 ,,y Dependent,.6573,.1417,1.9920,.046 ]) AT_CLEANUP AT_SETUP([CROSSTABS uncertainy coefficient]) AT_DATA([uc.sps], [dnl * From http://groups.chass.utoronto.ca/pol242/5bMeasuringAssociation.htm. SET FORMAT=F8.3. DATA LIST LIST NOTABLE/x y w. WEIGHT BY w. BEGIN DATA. 1 1 416 1 2 121 2 1 335 2 2 2 3 1 112 3 2 1 END DATA. CROSSTABS x BY y/STATISTICS=LAMBDA UC/CELLS=NONE. ]) AT_CHECK([pspp -O format=csv uc.sps], [0], [dnl Table: Summary. ,Cases,,,,, ,Valid,,Missing,,Total, ,N,Percent,N,Percent,N,Percent x * y,987.000,100.0%,.000,0.0%,987.000,100.0% Table: Directional measures. Category,Statistic,Type,Value,Asymp. Std. Error,Approx. T,Approx. Sig. Nominal by Nominal,Lambda,Symmetric,.000,.000,NaN,NaN ,,x Dependent,.000,.000,NaN,NaN ,,y Dependent,.000,.000,NaN,NaN ,Goodman and Kruskal tau,x Dependent,.076,,,. @&t@ ,,y Dependent,.108,,,. @&t@ ,Uncertainty Coefficient,Symmetric,.105,.012,,. @&t@ ,,x Dependent,.073,.009,7.890,. @&t@ ,,y Dependent,.184,.019,7.890,. @&t@ ]) AT_CLEANUP