Table of contents:

• 3 way chi square? Group differences
• A couple of coxreg questions
• AMOS (7 messages)
• ANCOVA or two-way ANOVA (4 messages)
• Activation of declared dataset: inconsistencies
• Automatic reply: Conjoint analysis in SPSS (2 messages)
• Automatic reply: Cox regression time-dependent covariate
• Automatic reply: Excel Integration
• Automatic reply: Follow-up to piecewise regression question
• Automatic reply: Generalized Linear Model (2 messages)
• Automatic reply: Integration of MySQL Procedure
• Automatic reply: Measurement Invariance: on initial CFA or revised CFA?
• Automatic reply: Programming in the R Language (2 messages)
• Automatic reply: RIM weighting
• Automatic reply: SPSSX-L Digest - 11 Apr 2012 to 12 Apr 2012 (#2012-104)
• Automatic reply: SPSSX-L Digest - 12 Apr 2012 to 13 Apr 2012 (#2012-105)
• Automatic reply: SPSSX-L Digest - 24 Apr 2012 to 25 Apr 2012 (#2012-115)
• Automatic reply: SPSSX-L Digest - 25 Apr 2012 to 26 Apr 2012 (#2012-116)
• Automatic reply: SPSSX-L Digest - 30 Mar 2012 to 31 Mar 2012 (#2012-91)
• Automatic reply: SPSSX-L Digest - 4 Apr 2012 to 5 Apr 2012 (#2012-96) (2 messages)
• Automatic reply: SPSSX-L Digest - 5 Apr 2012 to 6 Apr 2012 (#2012-97)
• Automatic reply: SPSSX-L Digest - 8 Apr 2012 to 9 Apr 2012 (#2012-100)
• Automatic reply: SPSSX-L Digest - 9 Apr 2012 to 10 Apr 2012 - Special issue (#2012-101) (2 messages)
• Automatic reply: Sampling WITH replacement
• Automatic reply: Sig testing in custom table
• Automatic reply: Significant interaction- reporting statistics
• Automatic reply: Solving heterogeneous variance using mixed linear models
• Automatic reply: Some questions about the operations on spss data using syntax
• Automatic reply: Variables do not correlate
• Automatic reply: convert from letters to numbers
• Automatic reply: covariate plot syntax in coxreg
• Automatic reply: trimming a numerical variable (2 messages)
• BIC and AIC (2 messages)
• BOOTSTRAPPING was: Sampling WITH replacement (3 messages)
• Boostrapping with Logistic Regression - How to get EXP(B) and 95%CI for EXP(B) ? - SPSS 20
• Calculate Discount Factor and Add Into Syntax (9 messages)
• Calculating business days (6 messages)
• Calculating the difference between cases (6 messages)
• Cluster Analysis SPSS vs SAS (3 messages)
• Cluster analysis (2 messages)
• Conjoint analysis in SPSS (2 messages)
• Cox regression time-dependent covariate (3 messages)
• Create Python list from unique values of SPSS string variable (11 messages)
• Custom Tables - Nesting both Row and Column (3 messages)
• DFBETAS (2 messages)
• Detecting outliers; when to stop? (5 messages)
• Error 105 (2 messages)
• Error message when opening any SPSS file (2 messages)
• Excel Integration (8 messages)
• Export pooled Multiple Imputation data (9 messages)
• Export tables within output tree
• F-Test
• Follow-up to piecewise regression question (8 messages)
• Frequency analysis (14 messages)
• Fw: [SPSSX-L] RIM weighting
• Fwd:
• GLM assumptions and post hoc comparisons (9 messages)
• GLMM (2 messages)
• Generalized Linear Model
• HELP! Line chart with more than one series (8 messages)
• Having trouble using R with SPSS
• Hierachical regression. Unique variance from one factor, model as whole not significant (2 messages)
• How to calculate long run confidence level? (2 messages)
• Integration of MySQL Procedure (5 messages)
• Latest SPSS version
• Logistic Regression (2 messages)
• Matrix Help (2 messages)
• Measurement Invariance: on initial CFA or revised CFA? (5 messages)
• Microsoft Excel and SPSS 20 (3 messages)
• Modeler
• Modern Modeling Methods (M3) conference: May 22-23, 2012
• Multiple Rows Per Subject: How to Create New Data File Based on Highest Course Taken (3 messages)
• MySQL Error message in SPSS
• Nested design help (5 messages)
• News from the SPSS Community (2 messages)
• Not sure whether nominal by interval test is appropriate (4 messages)
• OT Fwd: General Social Survey
• Poisson assumptions, hessian matrix (19 messages)
• Programming in the R Language (2 messages)
• Question about combining seperate answer columns in dataset into one variable (11 messages)
• Question about dates (5 messages)
• Question about difference between GEE and Cox regression (3 messages)
• RIM weighting (6 messages)
• Re outliers
• Repeayed measure logit regression (2 messages)
• SPSS - Upgrade (7 messages)
• SPSS Community News
• SPSS pooled dataset (2 messages)
• Sampling WITH replacement (7 messages)
• Scatterplot with scatter point size indicating number of observations (2 messages)
• Script
• Selecting Cases (8 messages)
• Set output item visibility to TRUE? (2 messages)
• Setting bits in SPSS variable (4 messages)
• Show only loess lines (7 messages)
• Sig testing in custom table (4 messages)
• Significant interaction- reporting statistics (17 messages)
• Simple Matrix Calculations (2 messages)
• Solving heterogeneous variance using mixed linear models (7 messages)
• Some questions about the operations on spss data using syntax (6 messages)
• Tabs and spaces (6 messages)
• U-shape regression (12 messages)
• Using SPSS for participants selection
• V19 error?
• V19 error? retraction (3 messages)
• VALUES (7 messages)
• Value & Lables display on data (8 messages)
• Values (codes) (4 messages)
• Variables do not correlate (5 messages)
• [Ask] Control Variable in Regresi Linier
• advantage of hierarchical vs. simultaneous regression
• convert from letters to numbers (6 messages)
• covariate plot syntax in coxreg (3 messages)
• effect size for fixed effects MIXED model?
• executing an SPSS syntax program automatically (6 messages)
• matching and merging (5 messages)
• missing values in the DO IFcommand (6 messages)
• modifying default cell properties for pivot tables (2 messages)
• piecewise regression within age groups
• replace dates with syntax (3 messages)
• trimming a numerical variable (4 messages)
• weighting (3 messages)

1. 3 way chi square? Group differences
   • 3 way chi square? Group differences (42 lines)
     From: lken <lkennedy.a@hotmail.com>

2. A couple of coxreg questions
   • A couple of coxreg questions (135 lines)
     From: Parise, Carol A. <PariseC@sutterhealth.org>

3. AMOS
   • AMOS (81 lines)
     From: Kathryn Gardner <kjgardner10@hotmail.com>
   • Re: AMOS (51 lines)
     From: David Marso <david.marso@gmail.com>
   • Re: AMOS (83 lines)
     From: Art Kendall <Art@DrKendall.org>
   • Re: AMOS (156 lines)
     From: lori.andersen <lori.andersen@GMAIL.COM>
   • Re: AMOS (153 lines)
     From: Kathryn Gardner <kjgardner10@hotmail.com>
   • Re: AMOS (220 lines)
     From: Kathryn Gardner <kjgardner10@hotmail.com>
   • Re: AMOS (194 lines)
     From: Michael Parent <michael.parent@ufl.edu>

4. ANCOVA or two-way ANOVA
   • Re: ANCOVA or two-way ANOVA (46 lines)
     From: David Marso <david.marso@gmail.com>
   • Re: ANCOVA or two-way ANOVA (63 lines)
     From: Bruce Weaver <bruce.weaver@hotmail.com>
   • ANCOVA or two-way ANOVA (33 lines)
     From: Nico <nparr@UFL.EDU>
   • Re: ANCOVA or two-way ANOVA (59 lines)
     From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

5. Activation of declared dataset: inconsistencies
   • Activation of declared dataset: inconsistencies (159 lines)
     From: Kirill Orlov <kior@comtv.ru>

6. Automatic reply: Conjoint analysis in SPSS
   • Automatic reply: Conjoint analysis in SPSS (19 lines)
     From: Quentin Zavala <qzavala@schoolsfirstfcu.org>
   • Automatic reply: Conjoint analysis in SPSS (112 lines)
     From: Matthew Fuller-Tyszkiewicz <matthew.fuller-tyszkiewicz@deakin.edu.au>

7. Automatic reply: Cox regression time-dependent covariate
   • Automatic reply: Cox regression time-dependent covariate (44 lines)
     From: Susan Maree Cotton <smcotton@unimelb.edu.au>

8. Automatic reply: Excel Integration
   • Automatic reply: Excel Integration (102 lines)
     From: Matthew Fuller-Tyszkiewicz <matthew.fuller-tyszkiewicz@deakin.edu.au>

9. Automatic reply: Follow-up to piecewise regression question
   • Automatic reply: Follow-up to piecewise regression question (84 lines)
     From: Buhi, Eric <ebuhi@health.usf.edu>

10. Automatic reply: Generalized Linear Model
    • Automatic reply: Generalized Linear Model (66 lines)
      From: Sarraf, Shimon Aaron <ssarraf@indiana.edu>
    • Automatic reply: Generalized Linear Model (103 lines)
      From: Kelly Vander Ley <KVanderley@rmccorp.com>

11. Automatic reply: Integration of MySQL Procedure
    • Automatic reply: Integration of MySQL Procedure (124 lines)
      From: Tierney, Mary Lou <mltierney@mitre.org>

12. Automatic reply: Measurement Invariance: on initial CFA or revised CFA?
    • Automatic reply: Measurement Invariance: on initial CFA or revised CFA? (49 lines)
      From: Susan Maree Cotton <smcotton@unimelb.edu.au>

13. Automatic reply: Programming in the R Language
    • Automatic reply: Programming in the R Language (62 lines)
      From: Buhi, Eric <ebuhi@health.usf.edu>
    • Re: Automatic reply: Programming in the R Language (20 lines)
      From: M. Kruger <aa3657@wayne.edu>

14. Automatic reply: RIM weighting
    • Automatic reply: RIM weighting (101 lines)
      From: Kelly Vander Ley <KVanderley@rmccorp.com>

15. Automatic reply: SPSSX-L Digest - 11 Apr 2012 to 12 Apr 2012 (#2012-104)
    • Automatic reply: SPSSX-L Digest - 11 Apr 2012 to 12 Apr 2012 (#2012-104) (142 lines)
      From: Myers, Nicholas <nmyers@miami.edu>

16. Automatic reply: SPSSX-L Digest - 12 Apr 2012 to 13 Apr 2012 (#2012-105)
    • Automatic reply: SPSSX-L Digest - 12 Apr 2012 to 13 Apr 2012 (#2012-105) (113 lines)
      From: Carikcioglu, Ilker <Ilker.Carikcioglu@Bain.com>

17. Automatic reply: SPSSX-L Digest - 24 Apr 2012 to 25 Apr 2012 (#2012-115)
    • Automatic reply: SPSSX-L Digest - 24 Apr 2012 to 25 Apr 2012 (#2012-115) (98 lines)
      From: Alan Elliott <Alan.Elliott@UTSouthwestern.edu>

18. Automatic reply: SPSSX-L Digest - 25 Apr 2012 to 26 Apr 2012 (#2012-116)
    • Automatic reply: SPSSX-L Digest - 25 Apr 2012 to 26 Apr 2012 (#2012-116) (20 lines)
      From: Schultz, Lisa <Lisa.Schultz@experian.com>

19. Automatic reply: SPSSX-L Digest - 30 Mar 2012 to 31 Mar 2012 (#2012-91)
    • Automatic reply: SPSSX-L Digest - 30 Mar 2012 to 31 Mar 2012 (#2012-91) (71 lines)
      From: Alan Elliott <Alan.Elliott@UTSouthwestern.edu>

20. Automatic reply: SPSSX-L Digest - 4 Apr 2012 to 5 Apr 2012 (#2012-96)
    • Automatic reply: SPSSX-L Digest - 4 Apr 2012 to 5 Apr 2012 (#2012-96) (29 lines)
      From: Kristen Nelson <kmnelson@illinoismutual.com>
    • Automatic reply: SPSSX-L Digest - 4 Apr 2012 to 5 Apr 2012 (#2012-96) (80 lines)
      From: Alan Elliott <Alan.Elliott@UTSouthwestern.edu>

21. Automatic reply: SPSSX-L Digest - 5 Apr 2012 to 6 Apr 2012 (#2012-97)
    • Automatic reply: SPSSX-L Digest - 5 Apr 2012 to 6 Apr 2012 (#2012-97) (116 lines)
      From: Gwen Garrison <ggarrison@aamc.org>

22. Automatic reply: SPSSX-L Digest - 8 Apr 2012 to 9 Apr 2012 (#2012-100)
    • Automatic reply: SPSSX-L Digest - 8 Apr 2012 to 9 Apr 2012 (#2012-100) (27 lines)
      From: Carikcioglu, Ilker <Ilker.Carikcioglu@Bain.com>

23. Automatic reply: SPSSX-L Digest - 9 Apr 2012 to 10 Apr 2012 - Special issue (#2012-101)
    • Automatic reply: SPSSX-L Digest - 9 Apr 2012 to 10 Apr 2012 - Special issue (#2012-101) (113 lines)
      From: Carikcioglu, Ilker <Ilker.Carikcioglu@Bain.com>
    • Automatic reply: SPSSX-L Digest - 9 Apr 2012 to 10 Apr 2012 - Special issue (#2012-101) (79 lines)
      From: Alan Elliott <Alan.Elliott@UTSouthwestern.edu>

24. Automatic reply: Sampling WITH replacement
    • Automatic reply: Sampling WITH replacement (19 lines)
      From: Joanne Fennessey <jmf@jhu.edu>

25. Automatic reply: Sig testing in custom table
    • Automatic reply: Sig testing in custom table (85 lines)
      From: Gregory, Cindy, PED <Cindy.Gregory@state.nm.us>

26. Automatic reply: Significant interaction- reporting statistics
    • Automatic reply: Significant interaction- reporting statistics (125 lines)
      From: Tierney, Mary Lou <mltierney@mitre.org>

27. Automatic reply: Solving heterogeneous variance using mixed linear models
    • Automatic reply: Solving heterogeneous variance using mixed linear models (20 lines)
      From: Joanne Fennessey <jmf@jhu.edu>

28. Automatic reply: Some questions about the operations on spss data using syntax
    • Automatic reply: Some questions about the operations on spss data using syntax (89 lines)
      From: Harmon, Judith, CYFD <Judith.Harmon@state.nm.us>

29. Automatic reply: Variables do not correlate
    • Automatic reply: Variables do not correlate (85 lines)
      From: Gregory, Cindy, PED <Cindy.Gregory@state.nm.us>

30. Automatic reply: convert from letters to numbers
    • Automatic reply: convert from letters to numbers (85 lines)
      From: Gregory, Cindy, PED <Cindy.Gregory@state.nm.us>

31. Automatic reply: covariate plot syntax in coxreg
    • Automatic reply: covariate plot syntax in coxreg (110 lines)
      From: Michael J. Toner <mtoner13@temple.edu>

32. Automatic reply: trimming a numerical variable
    • Automatic reply: trimming a numerical variable (85 lines)
      From: Gregory, Cindy, PED <Cindy.Gregory@state.nm.us>
    • Re: Automatic reply: trimming a numerical variable (33 lines)
      From: David Marso <david.marso@gmail.com>

33. BIC and AIC
    • BIC and AIC (34 lines)
      From: Eins Bernardo <einsbernardo@yahoo.com.ph>
    • Re: BIC and AIC (166 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

34. BOOTSTRAPPING was: Sampling WITH replacement
    • BOOTSTRAPPING was: Sampling WITH replacement (198 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: BOOTSTRAPPING was: Sampling WITH replacement (498 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: BOOTSTRAPPING was: Sampling WITH replacement (265 lines)
      From: David Marso <david.marso@gmail.com>

35. Boostrapping with Logistic Regression - How to get EXP(B) and 95%CI for EXP(B) ? - SPSS 20
    • Boostrapping with Logistic Regression - How to get EXP(B) and 95%CI for EXP(B) ? - SPSS 20 (35 lines)
      From: Michael <chantelanuit@GMAIL.COM>

36. Calculate Discount Factor and Add Into Syntax
    • Calculate Discount Factor and Add Into Syntax (26 lines)
      From: Matt Kretschmer <matthmann@YAHOO.COM>
    • Re: Calculate Discount Factor and Add Into Syntax (76 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Calculate Discount Factor and Add Into Syntax (37 lines)
      From: Matt Kretschmer <matthmann@YAHOO.COM>
    • Re: Calculate Discount Factor and Add Into Syntax (76 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Calculate Discount Factor and Add Into Syntax (41 lines)
      From: Matt Kretschmer <matthmann@YAHOO.COM>
    • Re: Calculate Discount Factor and Add Into Syntax (64 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculate Discount Factor and Add Into Syntax (65 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculate Discount Factor and Add Into Syntax (101 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Calculate Discount Factor and Add Into Syntax (96 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>

37. Calculating business days
    • Calculating business days (68 lines)
      From: Sea, Carleton, VBAVACO <Carleton.Sea@va.gov>
    • Re: Calculating business days (142 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Calculating business days (32 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculating business days (162 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: Calculating business days (62 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculating business days (80 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>

38. Calculating the difference between cases
    • Re: Calculating the difference between cases (160 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculating the difference between cases (191 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Calculating the difference between cases (193 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Calculating the difference between cases (253 lines)
      From: Veena Nambiar <VNambiar@cde.ca.gov>
    • Re: Calculating the difference between cases (346 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Calculating the difference between cases (367 lines)
      From: Veena Nambiar <VNambiar@cde.ca.gov>

39. Cluster Analysis SPSS vs SAS
    • Cluster Analysis SPSS vs SAS (350 lines)
      From: Edwards, Kevan (MDH) <kevan.edwards@state.mn.us>
    • Re: Cluster Analysis SPSS vs SAS (38 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Cluster Analysis SPSS vs SAS (66 lines)
      From: Art Kendall <Art@DrKendall.org>

40. Cluster analysis
    • Cluster analysis (27 lines)
      From: GauravSrivastava <srivastgaurav@gmail.com>
    • Re: Cluster analysis (79 lines)
      From: Art Kendall <Art@DrKendall.org>

41. Conjoint analysis in SPSS
    • Conjoint analysis in SPSS (33 lines)
      From: Eins Bernardo <einsbernardo@yahoo.com.ph>
    • Re: Conjoint analysis in SPSS (125 lines)
      From: John McConnell <jmcconnell@analyticalpeople.com>

42. Cox regression time-dependent covariate
    • Cox regression time-dependent covariate (30 lines)
      From: adrienn.s <adrienna86@gmail.com>
    • Re: Cox regression time-dependent covariate (41 lines)
      From: Alex Reutter <areutter@us.ibm.com>
    • Re: Cox regression time-dependent covariate (24 lines)
      From: MaxJasper <maxjasper@shaw.ca>

43. Create Python list from unique values of SPSS string variable
    • Re: Create Python list from unique values of SPSS string variable (33 lines)
      From: tko <ko.tiffany@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (69 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (69 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (134 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Create Python list from unique values of SPSS string variable (58 lines)
      From: tko <ko.tiffany@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (148 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Create Python list from unique values of SPSS string variable (251 lines)
      From: Tiffany Ko <ko.tiffany@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (217 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Create Python list from unique values of SPSS string variable (149 lines)
      From: Albert-Jan Roskam <fomcl@yahoo.com>
    • Re: Create Python list from unique values of SPSS string variable (168 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Create Python list from unique values of SPSS string variable (84 lines)
      From: tko <ko.tiffany@gmail.com>

44. Custom Tables - Nesting both Row and Column
    • Custom Tables - Nesting both Row and Column (25 lines)
      From: Andee D <spssctables@GMAIL.COM>
    • Re: Custom Tables - Nesting both Row and Column (45 lines)
      From: John F Hall <johnfhall@orange.fr>
    • Re: Custom Tables - Nesting both Row and Column (21 lines)
      From: Andee D <spssctables@GMAIL.COM>

45. DFBETAS
    • DFBETAS (26 lines)
      From: Salbod <ssalbod@pace.edu>
    • Re: DFBETAS (55 lines)
      From: Salbod, Mr. Stephen <ssalbod@pace.edu>

46. Detecting outliers; when to stop?
    • Re: Detecting outliers; when to stop? (49 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Detecting outliers; when to stop? (88 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Detecting outliers; when to stop? (46 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Detecting outliers; when to stop? (102 lines)
      From: Parise, Carol A. <PariseC@sutterhealth.org>
    • Re: Detecting outliers; when to stop? (131 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>

47. Error 105
    • Error 105 (65 lines)
      From: Gabby <gboutemy@CCFUSA.ORG>
    • Re: Error 105 (93 lines)
      From: Art Kendall <Art@DrKendall.org>

48. Error message when opening any SPSS file
    • Error message when opening any SPSS file (36 lines)
      From: Ron Fischer <ronald.fischer@VUW.AC.NZ>
    • Re: Error message when opening any SPSS file (160 lines)
      From: Jon K Peck <peck@us.ibm.com>

49. Excel Integration
    • Excel Integration (31 lines)
      From: Deepanshu Bhalla <deepanshu_bhalla@yahoo.com>
    • Re: Excel Integration (49 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Excel Integration (62 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Excel Integration (153 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Excel Integration (161 lines)
      From: Deepanshu Bhalla <deepanshu_bhalla@yahoo.com>
    • Re: Excel Integration (273 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Excel Integration (40 lines)
      From: Deepanshu Bhalla <deepanshu_bhalla@yahoo.com>
    • Re: Excel Integration (163 lines)
      From: Jon K Peck <peck@us.ibm.com>

50. Export pooled Multiple Imputation data
    • Re: Export pooled Multiple Imputation data (56 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Export pooled Multiple Imputation data (30 lines)
      From: torvon <torvon@GMAIL.COM>
    • Re: Export pooled Multiple Imputation data (198 lines)
      From: torvon <torvon@GMAIL.COM>
    • Re: Export pooled Multiple Imputation data (267 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Export pooled Multiple Imputation data (129 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Export pooled Multiple Imputation data (345 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>
    • Re: Export pooled Multiple Imputation data (300 lines)
      From: Eiko Fried <torvon@GMAIL.COM>
    • Re: Export pooled Multiple Imputation data (234 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Export pooled Multiple Imputation data (287 lines)
      From: Art Kendall <Art@DrKendall.org>

51. Export tables within output tree
    • Export tables within output tree (72 lines)
      From: tko <ko.tiffany@gmail.com>

52. F-Test
    • F-Test (40 lines)
      From: Malarmuthu B <malarmuthub@yahoo.in>

53. Follow-up to piecewise regression question
    • Follow-up to piecewise regression question (288 lines)
      From: Parise, Carol A. <PariseC@sutterhealth.org>
    • Re: Follow-up to piecewise regression question (110 lines)
      From: Parise, Carol A. <PariseC@sutterhealth.org>
    • Re: Follow-up to piecewise regression question (325 lines)
      From: R B <ryan.andrew.black@gmail.com>
    • Re: Follow-up to piecewise regression question (375 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Follow-up to piecewise regression question (360 lines)
      From: R B <ryan.andrew.black@gmail.com>
    • Re: Follow-up to piecewise regression question (509 lines)
      From: Parise, Carol A. <PariseC@sutterhealth.org>
    • Re: Follow-up to piecewise regression question (194 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Follow-up to piecewise regression question (507 lines)
      From: R B <ryan.andrew.black@gmail.com>

54. Frequency analysis
    • Frequency analysis (55 lines)
      From: Rose, Fred <FRose@palomar.edu>
    • Re: Frequency analysis (90 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Frequency analysis (158 lines)
      From: Rose, Fred <FRose@palomar.edu>
    • Re: Frequency analysis (144 lines)
      From: Len Vir <lenvir@gmail.com>
    • Re: Frequency analysis (131 lines)
      From: Rich Ulrich <rich-ulrich@live.com>
    • Re: Frequency analysis (160 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>
    • Re: Frequency analysis (446 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>
    • Re: Frequency analysis (125 lines)
      From: SPSS Giesel <spss.giesel@yahoo.de>
    • Re: Frequency analysis (164 lines)
      From: Fredric E. Rose, Ph.D. <frose@palomar.edu>
    • Re: Frequency analysis (347 lines)
      From: Garry Gelade <garry@business-analytic.co.uk>
    • Re: Frequency analysis (382 lines)
      From: Fredric E. Rose, Ph.D. <frose@palomar.edu>
    • Re: Frequency analysis (330 lines)
      From: Jim Marks <Jim.T.Marks@kp.org>
    • Re: Frequency analysis (318 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>
    • Re: Frequency analysis (258 lines)
      From: Art Kendall <Art@DrKendall.org>

55. Fw: [SPSSX-L] RIM weighting
    • Fw: [SPSSX-L] RIM weighting (194 lines)
      From: Jon K Peck <peck@us.ibm.com>

56. Fwd:
    • Fwd: (28 lines)
      From: Dedi Suryana <dedisuryana@gmail.com>

57. GLM assumptions and post hoc comparisons
    • GLM assumptions and post hoc comparisons (34 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: GLM assumptions and post hoc comparisons (61 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: GLM assumptions and post hoc comparisons (30 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: GLM assumptions and post hoc comparisons (38 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: GLM assumptions and post hoc comparisons (54 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: GLM assumptions and post hoc comparisons (31 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: GLM assumptions and post hoc comparisons (54 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: GLM assumptions and post hoc comparisons (119 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: GLM assumptions and post hoc comparisons (36 lines)
      From: lken <lkennedy.a@hotmail.com>

58. GLMM
    • GLMM (21 lines)
      From: Nabaneeta Saha <nsaha6@GMAIL.COM>
    • Re: GLMM (41 lines)
      From: Alex Reutter <areutter@us.ibm.com>

59. Generalized Linear Model
    • Generalized Linear Model (57 lines)
      From: drfg2008 <kontakt@datest.de>

60. HELP! Line chart with more than one series
    • HELP! Line chart with more than one series (144 lines)
      From: Mike Donatello <mdonatello@gmail.com>
    • Re: HELP! Line chart with more than one series (168 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: HELP! Line chart with more than one series (126 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: HELP! Line chart with more than one series (251 lines)
      From: Mike Donatello <mdonatello@gmail.com>
    • Re: HELP! Line chart with more than one series (162 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: HELP! Line chart with more than one series (101 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: HELP! Line chart with more than one series (188 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: HELP! Line chart with more than one series (360 lines)
      From: Mike Donatello <mdonatello@gmail.com>

61. Having trouble using R with SPSS
    • Having trouble using R with SPSS (195 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>

62. Hierachical regression. Unique variance from one factor, model as whole not significant
    • Hierachical regression. Unique variance from one factor, model as whole not significant (39 lines)
      From: rhf21 <beccahaywood@hotmail.com>
    • Re: Hierachical regression. Unique variance from one factor, model as whole not significant (64 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

63. How to calculate long run confidence level?
    • How to calculate long run confidence level? (33 lines)
      From: San K <devank@gmail.com>
    • Re: How to calculate long run confidence level? (54 lines)
      From: David Marso <david.marso@gmail.com>

64. Integration of MySQL Procedure
    • Integration of MySQL Procedure (72 lines)
      From: SD <silvitsch@gmx.de>
    • Re: Integration of MySQL Procedure (44 lines)
      From: drfg2008 <kontakt@datest.de>
    • Re: Integration of MySQL Procedure (175 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Integration of MySQL Procedure (83 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Integration of MySQL Procedure (26 lines)
      From: SD <silvitsch@gmx.de>

65. Latest SPSS version
    • Latest SPSS version (29 lines)
      From: Peter Omondi <pomondius2005@gmail.com>

66. Logistic Regression
    • Logistic Regression (36 lines)
      From: Richard <richard.spivack@NIST.GOV>
    • Re: Logistic Regression (58 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>

67. Matrix Help
    • Matrix Help (31 lines)
      From: Matt Freeman <mattfreeman74@YAHOO.COM>
    • Re: Matrix Help (67 lines)
      From: David Marso <david.marso@gmail.com>

68. Measurement Invariance: on initial CFA or revised CFA?
    • Measurement Invariance: on initial CFA or revised CFA? (37 lines)
      From: nnhartma <nate1112@aol.com>
    • Re: Measurement Invariance: on initial CFA or revised CFA? (47 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Measurement Invariance: on initial CFA or revised CFA? (78 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Measurement Invariance: on initial CFA or revised CFA? (62 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Measurement Invariance: on initial CFA or revised CFA? (28 lines)
      From: nnhartma <nate1112@aol.com>

69. Microsoft Excel and SPSS 20
    • Microsoft Excel and SPSS 20 (58 lines)
      From: Rajeshms <getrajeshms@gmail.com>
    • Re: Microsoft Excel and SPSS 20 (77 lines)
      From: =?windows-1252?Q?Marta_Garc=EDa-Granero?= <mgarciagranero@gmail.com>
    • Re: Microsoft Excel and SPSS 20 (52 lines)
      From: David Marso <david.marso@gmail.com>

70. Modeler
    • Modeler (35 lines)
      From: Matt Freeman <mattfreeman74@yahoo.com>

71. Modern Modeling Methods (M3) conference: May 22-23, 2012
    • Modern Modeling Methods (M3) conference: May 22-23, 2012 (27 lines)
      From: Mccoach, D. Betsy <betsy.mccoach@uconn.edu>

72. Multiple Rows Per Subject: How to Create New Data File Based on Highest Course Taken
    • Multiple Rows Per Subject: How to Create New Data File Based on Highest Course Taken (340 lines)
      From: elle lists <elle.lists@gmail.com>
    • Re: Multiple Rows Per Subject: How to Create New Data File Based on Highest Course Taken (64 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Multiple Rows Per Subject: How to Create New Data File Based on Highest Course Taken (75 lines)
      From: David Marso <david.marso@gmail.com>

73. MySQL Error message in SPSS
    • MySQL Error message in SPSS (43 lines)
      From: drfg2008 <kontakt@datest.de>

74. Nested design help
    • Nested design help (144 lines)
      From: Martin Sherman <MSherman@loyola.edu>
    • Re: Nested design help (182 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: Nested design help (214 lines)
      From: Martin Sherman <MSherman@loyola.edu>
    • Re: Nested design help (383 lines)
      From: John F Hall <johnfhall@orange.fr>
    • Re: Nested design help (336 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>

75. News from the SPSS Community
    • News from the SPSS Community (77 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • News from the SPSS Community (50 lines)
      From: Jon K Peck <peck@us.ibm.com>

76. Not sure whether nominal by interval test is appropriate
    • Not sure whether nominal by interval test is appropriate (222 lines)
      From: Mike Donatello <mdonatello@gmail.com>
    • Re: Not sure whether nominal by interval test is appropriate (90 lines)
      From: Mike Donatello <mdonatello@GMAIL.COM>
    • Re: Not sure whether nominal by interval test is appropriate (79 lines)
      From: Ray Koopman <koopman@sfu.ca>
    • Re: Not sure whether nominal by interval test is appropriate (37 lines)
      From: Mike Donatello <mdonatello@gmail.com>

77. OT Fwd: General Social Survey
    • OT Fwd: General Social Survey (42 lines)
      From: Art Kendall <Art@DrKendall.org>

78. Poisson assumptions, hessian matrix
    • Poisson assumptions, hessian matrix (44 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (59 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: Poisson assumptions, hessian matrix (36 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (54 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: Poisson assumptions, hessian matrix (53 lines)
      From: Kornbrot, Diana <d.e.kornbrot@herts.ac.uk>
    • Re: Poisson assumptions, hessian matrix (25 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (100 lines)
      From: Garry Gelade <garry@business-analytic.co.uk>
    • Re: Poisson assumptions, hessian matrix (31 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (49 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: Poisson assumptions, hessian matrix (34 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (50 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: Poisson assumptions, hessian matrix (140 lines)
      From: Rich Ulrich <rich-ulrich@live.com>
    • Re: Poisson assumptions, hessian matrix (34 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (58 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Poisson assumptions, hessian matrix (81 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (29 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (101 lines)
      From: Ryan Black <ryan.andrew.black@gmail.com>
    • Re: Poisson assumptions, hessian matrix (177 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Poisson assumptions, hessian matrix (53 lines)
      From: lken <lkennedy.a@hotmail.com>

79. Programming in the R Language
    • Programming in the R Language (84 lines)
      From: Geoffrey Hubona <ghubona@gmail.com>
    • Re: Programming in the R Language (29 lines)
      From: Antoon Smulders <a.smulders@beke.nl>

80. Question about combining seperate answer columns in dataset into one variable
    • Question about combining seperate answer columns in dataset into one variable (73 lines)
      From: Brenda Zollitsch <brendaz@maine.edu>
    • Re: Question about combining seperate answer columns in dataset into one variable (218 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: Question about combining seperate answer columns in dataset into one variable (301 lines)
      From: John F Hall <johnfhall@orange.fr>
    • Re: Question about combining seperate answer columns in dataset into one variable (182 lines)
      From: Jim Marks <Jim.T.Marks@kp.org>
    • Re: Question about combining seperate answer columns in dataset into one variable (69 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (207 lines)
      From: Rick Oliver <oliverr@us.ibm.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (111 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (162 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (159 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (176 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Question about combining seperate answer columns in dataset into one variable (134 lines)
      From: Miriam Rose <mrose@BENROSE.ORG>

81. Question about dates
    • Question about dates (158 lines)
      From: Doyle, Jennifer <JDOYLE12@PARTNERS.ORG>
    • Re: Question about dates (229 lines)
      From: J. R. Carroll <jrc.csus@gmail.com>
    • Re: Question about dates (213 lines)
      From: Parise, Carol A. <PariseC@sutterhealth.org>
    • Re: Question about dates (344 lines)
      From: Doyle, Jennifer <JDOYLE12@PARTNERS.ORG>
    • Re: Question about dates (266 lines)
      From: Melissa Ives <mives@chestnut.org>

82. Question about difference between GEE and Cox regression
    • Question about difference between GEE and Cox regression (33 lines)
      From: Michael <chantelanuit@GMAIL.COM>
    • Re: Question about difference between GEE and Cox regression (58 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: Question about difference between GEE and Cox regression (23 lines)
      From: Michael <chantelanuit@GMAIL.COM>

83. RIM weighting
    • RIM weighting (57 lines)
      From: MariaPetsch <maria.pecs@GMAIL.COM>
    • Re: RIM weighting (183 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: RIM weighting (88 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: RIM weighting (23 lines)
      From: MariaPetsch <maria.pecs@GMAIL.COM>
    • Re: RIM weighting (84 lines)
      From: Kirill Orlov <kior@comtv.ru>
    • Re: RIM weighting (154 lines)
      From: vlad simion <vlad.simion@gmail.com>

84. Re outliers
    • Re outliers (246 lines)
      From: Kornbrot, Diana <d.e.kornbrot@herts.ac.uk>

85. Repeayed measure logit regression
    • Repeayed measure logit regression (117 lines)
      From: Kornbrot, Diana <d.e.kornbrot@herts.ac.uk>
    • Re: Repeayed measure logit regression (108 lines)
      From: Ryan Black <ryan.andrew.black@gmail.com>

86. SPSS - Upgrade
    • SPSS - Upgrade (31 lines)
      From: GauravSrivastava <srivastgaurav@gmail.com>
    • Re: SPSS - Upgrade (136 lines)
      From: J. R. Carroll <jrc.csus@gmail.com>
    • Re: SPSS - Upgrade (175 lines)
      From: Gaurav Srivastava <srivastgaurav@gmail.com>
    • Re: SPSS - Upgrade (202 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: SPSS - Upgrade (257 lines)
      From: J. R. Carroll <jrc.csus@gmail.com>
    • Re: SPSS - Upgrade (295 lines)
      From: Gaurav Srivastava <srivastgaurav@gmail.com>
    • Re: SPSS - Upgrade (214 lines)
      From: Gaurav Srivastava <srivastgaurav@gmail.com>

87. SPSS Community News
    • SPSS Community News (62 lines)
      From: Jon K Peck <peck@us.ibm.com>

88. SPSS pooled dataset
    • SPSS pooled dataset (41 lines)
      From: pfreire <p.pfreire@GMAIL.COM>
    • Re: SPSS pooled dataset (151 lines)
      From: Alex Reutter <areutter@us.ibm.com>

89. Sampling WITH replacement
    • Sampling WITH replacement (24 lines)
      From: MariaPetsch <maria.pecs@GMAIL.COM>
    • Re: Sampling WITH replacement (36 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Sampling WITH replacement (65 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Sampling WITH replacement (66 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Sampling WITH replacement (107 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Sampling WITH replacement (127 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Sampling WITH replacement (24 lines)
      From: MariaPetsch <maria.pecs@GMAIL.COM>

90. Scatterplot with scatter point size indicating number of observations
    • Scatterplot with scatter point size indicating number of observations (27 lines)
      From: Ron Fischer <ronald.fischer@VUW.AC.NZ>
    • Re: Scatterplot with scatter point size indicating number of observations (76 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

91. Script
    • Script (45 lines)
      From: Deepanshu Bhalla <deepanshu_bhalla@yahoo.com>

92. Selecting Cases
    • Selecting Cases (19 lines)
      From: Andee D <spssctables@GMAIL.COM>
    • Re: Selecting Cases (55 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Selecting Cases (79 lines)
      From: Poes, Matthew Joseph <mpoes@illinois.edu>
    • Re: Selecting Cases (57 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Selecting Cases (16 lines)
      From: Andee D <spssctables@GMAIL.COM>
    • Re: Selecting Cases (16 lines)
      From: Andee D <spssctables@GMAIL.COM>
    • Re: Selecting Cases (52 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Selecting Cases (127 lines)
      From: David Marso <david.marso@gmail.com>

93. Set output item visibility to TRUE?
    • Set output item visibility to TRUE? (35 lines)
      From: cseager <crs320@nyu.edu>
    • Re: Set output item visibility to TRUE? (150 lines)
      From: Jon K Peck <peck@us.ibm.com>

94. Setting bits in SPSS variable
    • Setting bits in SPSS variable (237 lines)
      From: Mike Pritchard <5circles@gmail.com>
    • Re: Setting bits in SPSS variable (164 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Setting bits in SPSS variable (243 lines)
      From: Maguin, Eugene <emaguin@buffalo.edu>
    • Re: Setting bits in SPSS variable (472 lines)
      From: Mike Pritchard <5circles@gmail.com>

95. Show only loess lines
    • Show only loess lines (115 lines)
      From: William Adams <adamsw@uic.edu>
    • Re: Show only loess lines (104 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Show only loess lines (252 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Show only loess lines (417 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Show only loess lines (536 lines)
      From: William Adams <adamsw@uic.edu>
    • Re: Show only loess lines (45 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Show only loess lines (579 lines)
      From: William Adams <adamsw@uic.edu>

96. Sig testing in custom table
    • Sig testing in custom table (49 lines)
      From: GauravSrivastava <srivastgaurav@gmail.com>
    • Re: Sig testing in custom table (185 lines)
      From: Jon K Peck <peck@us.ibm.com>
    • Re: Sig testing in custom table (236 lines)
      From: Gaurav Srivastava <srivastgaurav@gmail.com>
    • Re: Sig testing in custom table (265 lines)
      From: Jon K Peck <peck@us.ibm.com>

97. Significant interaction- reporting statistics
    • Significant interaction- reporting statistics (41 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (85 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (51 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (33 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (46 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (71 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (35 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (59 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (27 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (49 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (25 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (51 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (42 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (74 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (37 lines)
      From: lken <lkennedy.a@hotmail.com>
    • Re: Significant interaction- reporting statistics (67 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Significant interaction- reporting statistics (89 lines)
      From: Ryan Black <ryan.andrew.black@gmail.com>

98. Simple Matrix Calculations
    • Simple Matrix Calculations (24 lines)
      From: Matt Freeman <mattfreeman74@YAHOO.COM>
    • Re: Simple Matrix Calculations (61 lines)
      From: David Marso <david.marso@gmail.com>

99. Solving heterogeneous variance using mixed linear models
    • Re: Solving heterogeneous variance using mixed linear models (47 lines)
      From: David Marso <david.marso@gmail.com>
    • Solving heterogeneous variance using mixed linear models (33 lines)
      From: jweedon <jweedon@EARTHLINK.NET>
    • Re: Solving heterogeneous variance using mixed linear models (32 lines)
      From: jweedon <jweedon@EARTHLINK.NET>
    • Re: Solving heterogeneous variance using mixed linear models (68 lines)
      From: Poes, Matthew Joseph <mpoes@UILLINOIS.EDU>
    • Re: Solving heterogeneous variance using mixed linear models (50 lines)
      From: Ryan Black <ryan.andrew.black@gmail.com>
    • Re: Solving heterogeneous variance using mixed linear models (25 lines)
      From: jweedon <jweedon@EARTHLINK.NET>
    • Re: Solving heterogeneous variance using mixed linear models (59 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>

100. Some questions about the operations on spss data using syntax
     • Some questions about the operations on spss data using syntax (24 lines)
       From: =?GB2312?B?1cXQwtXF?= <zxp19810115@gmail.com>
     • Re: Some questions about the operations on spss data using syntax (52 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Re: Some questions about the operations on spss data using syntax (90 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Some questions about the operations on spss data using syntax (331 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Re: Some questions about the operations on spss data using syntax (243 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Some questions about the operations on spss data using syntax (68 lines)
       From: Bruce Weaver <bruce.weaver@hotmail.com>

101. Tabs and spaces
     • Tabs and spaces (116 lines)
       From: Deb Ploskonka <deb.ploskonka@cambiainfo.com>
     • Re: Tabs and spaces (88 lines)
       From: SPSS Giesel <spss.giesel@yahoo.de>
     • Re: Tabs and spaces (63 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: Tabs and spaces (71 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: Tabs and spaces (84 lines)
       From: Jon K Peck <peck@us.ibm.com>
     • Re: Tabs and spaces (169 lines)
       From: Deb Ploskonka <deb.ploskonka@cambiainfo.com>

102. U-shape regression
     • U-shape regression (27 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: U-shape regression (48 lines)
       From: Marta García-Granero <mgarciagranero@gmail.com>
     • Re: U-shape regression (34 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: U-shape regression (64 lines)
       From: Ryan Black <ryan.andrew.black@gmail.com>
     • Re: U-shape regression (112 lines)
       From: Rich Ulrich <rich-ulrich@live.com>
     • Re: U-shape regression (40 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: U-shape regression (147 lines)
       From: Rich Ulrich <rich-ulrich@live.com>
     • Re: U-shape regression (40 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: U-shape regression (172 lines)
       From: R B <ryan.andrew.black@gmail.com>
     • Re: U-shape regression (42 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: U-shape regression (57 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: U-shape regression (100 lines)
       From: Art Kendall <Art@DrKendall.org>

103. Using SPSS for participants selection
     • Using SPSS for participants selection (155 lines)
       From: Tobias Schacht <Tobias.Schacht@ipsos.com>

104. V19 error?
     • V19 error? (36 lines)
       From: Maguin, Eugene <emaguin@buffalo.edu>

105. V19 error? retraction
     • V19 error? retraction (36 lines)
       From: Maguin, Eugene <emaguin@buffalo.edu>
     • Re: V19 error? retraction (69 lines)
       From: Salbod, Mr. Stephen <ssalbod@pace.edu>
     • Re: V19 error? retraction (80 lines)
       From: Maguin, Eugene <emaguin@buffalo.edu>

106. VALUES
     • VALUES (63 lines)
       From: Mohammed Aayed <mmaayed@HOTMAIL.COM>
     • Re: VALUES (101 lines)
       From: Gaurav Srivastava <srivastgaurav@gmail.com>
     • Re: VALUES (236 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Re: VALUES (26 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: VALUES (128 lines)
       From: Mohd Aayed <mohd.aayed@gmail.com>
     • Re: VALUES (202 lines)
       From: Maguin, Eugene <emaguin@buffalo.edu>
     • Re: VALUES (96 lines)
       From: David Marso <david.marso@gmail.com>

107. Value & Lables display on data
     • Value & Lables display on data (22 lines)
       From: Peter Omondi <pomondius2005@gmail.com>
     • Re: Value & Lables display on data (57 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Re: Value & Lables display on data (72 lines)
       From: Mohd Aayed <mohd.aayed@gmail.com>
     • Re: Value & Lables display on data (46 lines)
       From: Bruce Weaver <bruce.weaver@hotmail.com>
     • Re: Value & Lables display on data (94 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Value & Lables display on data (25 lines)
       From: Peter Omondi <pomondius2005@GMAIL.COM>
     • Re: Value & Lables display on data (49 lines)
       From: Mark Andrews (Mark.Andrews@synovate.com) <Mark.Andrews@IPSOS.COM>
     • Re: Value & Lables display on data (69 lines)
       From: Anthony Babinec <tbabinec@sbcglobal.net>

108. Values (codes)
     • Values (codes) (51 lines)
       From: Mohd Aayed <mohd.aayed@gmail.com>
     • Re: Values (codes) (129 lines)
       From: Maguin, Eugene <emaguin@buffalo.edu>
     • Re: Values (codes) (129 lines)
       From: Danielle Boyce <dmboyce1@yahoo.com>
     • Re: Values (codes) (49 lines)
       From: David Marso <david.marso@gmail.com>

109. Variables do not correlate
     • Variables do not correlate (31 lines)
       From: uminka <h.a.lucynacia@gmail.com>
     • Re: Variables do not correlate (53 lines)
       From: Bruce Weaver <bruce.weaver@hotmail.com>
     • Re: Variables do not correlate (36 lines)
       From: uminka <h.a.lucynacia@gmail.com>
     • Re: Variables do not correlate (25 lines)
       From: uminka <h.a.lucynacia@gmail.com>
     • Re: Variables do not correlate (76 lines)
       From: Art Kendall <Art@DrKendall.org>

110. [Ask] Control Variable in Regresi Linier
     • [Ask] Control Variable in Regresi Linier (29 lines)
       From: Hafidz Syihab <hafidz.syihab@YAHOO.COM>

111. advantage of hierarchical vs. simultaneous regression
     • advantage of hierarchical vs. simultaneous regression (54 lines)
       From: pji <pji@ADLER.EDU>

112. convert from letters to numbers
     • convert from letters to numbers (48 lines)
       From: laura liu <chinalaura@yahoo.com>
     • Re: convert from letters to numbers (55 lines)
       From: Bruce Weaver <bruce.weaver@hotmail.com>
     • Re: convert from letters to numbers (125 lines)
       From: laura liu <chinalaura@yahoo.com>
     • Re: convert from letters to numbers (370 lines)
       From: John F Hall <johnfhall@orange.fr>
     • Re: convert from letters to numbers (28 lines)
       From: Peter Omondi <pomondius2005@gmail.com>
     • Re: convert from letters to numbers (66 lines)
       From: David Marso <david.marso@gmail.com>

113. covariate plot syntax in coxreg
     • covariate plot syntax in coxreg (79 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>
     • Re: covariate plot syntax in coxreg (52 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: covariate plot syntax in coxreg (66 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>

114. effect size for fixed effects MIXED model?
     • effect size for fixed effects MIXED model? (21 lines)
       From: Suzanne Decker <suzanne.decker@YALE.EDU>

115. executing an SPSS syntax program automatically
     • executing an SPSS syntax program automatically (44 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: executing an SPSS syntax program automatically (48 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: executing an SPSS syntax program automatically (39 lines)
       From: drfg2008 <kontakt@datest.de>
     • Re: executing an SPSS syntax program automatically (52 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: executing an SPSS syntax program automatically (153 lines)
       From: Jon K Peck <peck@us.ibm.com>
     • Re: executing an SPSS syntax program automatically (862 lines)
       From: Eero Olli <eero.olli@ldo.no>

116. matching and merging
     • matching and merging (5396 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: matching and merging (3607 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: matching and merging (5961 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: matching and merging (3831 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: matching and merging (6182 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>

117. missing values in the DO IFcommand
     • missing values in the DO IFcommand (34 lines)
       From: Patricio Calderon <patricios1@GMAIL.COM>
     • Re: missing values in the DO IFcommand (136 lines)
       From: Rick Oliver <oliverr@us.ibm.com>
     • Re: missing values in the DO IFcommand (18 lines)
       From: Patricio Calderon <patricios1@GMAIL.COM>
     • Re: missing values in the DO IFcommand (65 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: missing values in the DO IFcommand (103 lines)
       From: David Marso <david.marso@gmail.com>
     • Re: missing values in the DO IFcommand (168 lines)
       From: lori.andersen <lori.andersen@GMAIL.COM>

118. modifying default cell properties for pivot tables
     • Re: modifying default cell properties for pivot tables (318 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>
     • Re: modifying default cell properties for pivot tables (36 lines)
       From: Peter Omondi <pomondius2005@gmail.com>

119. piecewise regression within age groups
     • piecewise regression within age groups (148 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>

120. replace dates with syntax
     • replace dates with syntax (39 lines)
       From: Rodrigo Briceño <rjbriceno@gmail.com>
     • Re: replace dates with syntax (147 lines)
       From: Rick Oliver <oliverr@us.ibm.com>
     • Re: replace dates with syntax (82 lines)
       From: Rodrigo Briceño <rjbriceno@gmail.com>

121. trimming a numerical variable
     • trimming a numerical variable (63 lines)
       From: Zdaniuk, Bozena <bozena.zdaniuk@ubc.ca>
     • Re: trimming a numerical variable (117 lines)
       From: Rich Ulrich <rich-ulrich@live.com>
     • Re: trimming a numerical variable (97 lines)
       From: Bruce Weaver <bruce.weaver@hotmail.com>
     • Re: trimming a numerical variable (113 lines)
       From: Zdaniuk, Bozena <bozena.zdaniuk@ubc.ca>

122. weighting
     • weighting (44 lines)
       From: Rajeshms <getrajeshms@gmail.com>
     • Re: weighting (88 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: weighting (160 lines)
       From: Art Kendall <Art@DrKendall.org>