Table of contents:

• "SORT CASES BY" memory problem. (6 messages)
• "significantly" not significant (3 messages)
• (C)NLR with log-likelihood loss function (10 messages)
• ....wise regression analysis (was: "Addition of covariates in forward regression analyses") (2 messages)
• 10 most frequent occurring values of a multiple response set ( REVISITED ) (10 messages)
• 10 most frequent occurring values of a multiple response set (REVISITED )
• : Cluster Analysis - Seeds needed for K-Means
• <No subject>
• =?us-ascii?Q?Re=3AConvert=20all=20for=20Numeric=20Type?=
• AMOS 5 and weighted data
• ANNOUNCE: REMINDER SPSS USERS MEETING 2006
• AW: "significantly" not significant (2 messages)
• AW: Statistical Analysis Plan (2 messages)
• AW: [SPSSX-L] PLS/PLSR
• About Interactive Bar Charts - labelling & sorting
• Adding numbers in columns - HELP please. (2 messages)
• Addition of covariates in forward regression analyses (2 messages)
• Adjusted and crude odds ratio
• Another plotting question (2 messages)
• Art Kendall - request contact
• Automating SPSS (5 messages)
• Basic Stat Question (3 messages)
• Beta Coefficient (2 messages)
• Box&Whisker Plot Query (2 messages)
• Calculating percents for a dimension (5 messages)
• Can do Anything on my PC when running Syntax (v 14) (3 messages)
• Change in output from SYSFILE INFO v 13 to v 14
• Changing Variable Names and Deleting Variables Via Syntax (8 messages)
• Clarification on file filter question (2 messages)
• Cluster Analysis - Seeds needed for K-Means (10 messages)
• Column proportion with p-value
• Combining Aggregate and Individual Data Points in 1 Custom Table (4 messages)
• Compare odds ratios (10 messages)
• Comparing correlation matrices
• Computing average variance extracted in SPSS
• Convert all for Numeric Type (3 messages)
• Correlation of Continuous and Dichotomous Variable (2 messages)
• Correspondence Analysis Macro (4 messages)
• Create an Install Package for VB/SPSS Automation (2 messages)
• Creating a date variable (4 messages)
• Creative cumulative frequency in SPSS (2 messages)
• Custom Table (2 messages)
• Custom Tables Question: Use of Chi-Square for Independence vs. Z-Test for Equality of Column Proportions
• DATA LIST error message (3 messages)
• Data imputation
• Defining categorical variables (5 messages)
• Defining categorical variables/ Wilson Meta-analysis Macro
• Differences in variable values (2 messages)
• Discriminant Analysis Obtaining Combined Groups Plot
• Dispersion (7 messages)
• Display labels (4 messages)
• Elapsed Time Calculation (5 messages)
• Elapsed Time Calculation (CORRECTION)
• Errors
• Export SPSS text output (3 messages)
• FW: Message ("There is no LISTSERV list on this server. Try...") (2 messages)
• FW: Re: SPSS question
• FW: twostep cluster - definitive
• Filter file possible? (7 messages)
• Filter file possible? - interleaving dates
• First question (4 messages)
• Formatting Titles in Output & AutoFit Tables in Output/Word
• GET DATA /Type=ODBC questions (3 messages)
• GUI Development with reimbursement
• Graphing function
• Grouped Percentage
• Help With Classification Trees (2 messages)
• Help me please
• Help with simple syntax (3 messages)
• Hierarchical Cluster Analysis (2 messages)
• How to Calculate the Component Score Coefficient Matrix (5 messages)
• How to compare correlation matrices
• How to set condition for save tranlate (2 messages)
• How to unsubscribe (4 messages)
• Insignificant variable removed in logistic regression (3 messages)
• Interesting phenomenon (9 messages)
• Interpretation from transformed variable in ANOVA (6 messages)
• Intrepretation of deff (2 messages)
• Introduction to clementine (2 messages)
• Is there any SPSS script to execute syntax?
• K clustering preassigning some members in SPSS 14.0 (5 messages)
• LEAD function (2 messages)
• Learning to program in SPSS macros (3 messages)
• Logistic regression: Sensitivity, Specificity, % False Negative a nd % False Positive (2 messages)
• Logistic regression: Sensitivity, Specificity,% False Negative a nd % False Positive
• Loop and macro help (4 messages)
• Loop and macro help (2)
• Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (5 messages)
• Macro method with CTABLES (3 messages)
• Measures of agreement for individuals categories when the cat egories are ordinal
• Measures of agreement for individuals categories when the categories are ordinal (2 messages)
• Missing confidence interval for 25th percentile (3 messages)
• Missing create function in version 14 after update to 14.1 (2 messages)
• Multicollinearity in SPSS (6 messages)
• Multiple Regression & Interactions (5 messages)
• My First SPSS Script (5 messages)
• Nagelkerke
• Need help with aggregate macro with multiple file saves (3 messages)
• Numeric transliteration, anomalies and outliers
• ODBC Data Access Question (6 messages)
• One question about multiple response (4 messages)
• Out of the office (2 messages)
• Outlier detection (10 messages)
• PLS/PLSR
• Performance Measures (5 messages)
• Photos
• Photos : error
• Plo command on GLM
• Plots of interaction terms in cox regression
• Plotting (2 messages)
• Power analysis for comparison of variances of paired samples
• Prepping Data from Web Application for SPSS Import with Data/Variable Labels
• Problem with Include and Python (3 messages)
• Python Path (2 messages)
• Q-Values and Homogeneity of effects sizes in Meta-analysis (4 messages)
• Quit SPSS by syntax? (2 messages)
• R language question (3 messages)
• Rank Order Questions (2 messages)
• Re : Power analysis for comparison of variances of paired samples (4 messages)
• Reading and Writing MS Excel and MS Access Files Using Python (3 messages)
• Recode question
• Recode value to sysmis (6 messages)
• Recoding
• Recoding a combined variable (3 messages)
• Recoding a variable into deciles (2 messages)
• Reference category for dummies in factor analysis (22 messages)
• Reference category in dummies
• Relationship between Sets of Dependent and Independent Variables (3 messages)
• Restructure dataset with 3 demo vars into single var (2 messages)
• Restructure dataset with 3 demo vars into single var+ little tricky part (3 messages)
• SCHEDULING SYNTAX (2 messages)
• SIMCA: When number of Variables far exceeds number of cases
• SPSS 14 network license log files
• SPSS Graphs (4 messages)
• SPSS for Machintosh- Juan Albertorio NCHS (5 messages)
• SPSS for disabilities? (11 messages)
• SPSS macro to compare continuous versus median split variable
• SPSS question (10 messages)
• SPSS version and getting odbc data base
• SPSS vs. SAS for n = 1 at level 1 for mixed model
• SPSS' 3d graphics (3 messages)
• SPSSX-L Digest - 24 Aug 2006 to 25 Aug 2006 (#2006-235)
• Selecting by date (7 messages)
• Selecting non-missing cases in string variables (13 messages)
• Selectpred & Naive Bayes only available on SPSS Server - WHY ?
• Simple Label Transfer Question (6 messages)
• Smart Viewer (3 messages)
• Spearman rho and Cohen's d (2 messages)
• Splitting a macro variable
• Statistical Analysis Plan (2 messages)
• Statistical Question (4 messages)
• Statistical testing question from a novice (2 messages)
• Subtotals in ctables
• Syntax to Clean Data - Needs Help (2 messages)
• Syntax to search cases? (6 messages)
• Syntax too quick for SPSS (2 messages)
• System Missing Syntax (6 messages)
• Text fields (2 messages)
• Thanks to Gene for Help - Solved my problem
• Timestamp Conversion (5 messages)
• Turf Analysis Question
• Using Syntax to create a data cut-off point (2 messages)
• Using Var Names to Conditionally Build String Values Case By Case... (3 messages)
• Using macros with scatter plots (4 messages)
• Visibility of Python Variables (2 messages)
• Weighted vs. unweight linear trend analysis (unequal n's)
• Weighting and Nonparametric Tests (7 messages)
• What I have done log (4 messages)
• XSD Schema for XML to SAV for DATA
• [Differences in variable values]
• adjusting for the Covariate
• bar charts (3 messages)
• calculating bic and aic
• choosing a covariance structure in Linear Mixed Models (repeated measures)
• cluster analysis (2 messages)
• comparing correlations (3 messages)
• convert numeric to string w leading zeros (2 messages)
• cox regression (where observations are not independent) (2 messages)
• crosstabs in matrix (2 messages)
• ctables putting statistics as rows (2 messages)
• date variable (7 messages)
• display blank frequencies (3 messages)
• dummy variable coding (4 messages)
• erreur d'envoi
• factor analyzing the Tetrachoric correlations (4 messages)
• format a variable? (4 messages)
• grouping variables (7 messages)
• identifying cause of message "error involving DFB10_1" (3 messages)
• interpretation of the warning message (6 messages)
• is it necessary to test autocorrelation for panel data in binary logistic regression? (3 messages)
• lock .sav file (3 messages)
• matrix calculation (4 messages)
• mixed-effects model for longitudinal data interpretation
• multidimensional scaling with rank data (2 messages)
• multinomial log. reg (2 messages)
• new variables from factor analysis? (2 messages)
• outliers?? (10 messages)
• problems with subscale scores
• propensity scoring (3 messages)
• regression question
• remove from list serve (2 messages)
• remove from list serve - Amplification
• removing page breaker in text output (2 messages)
• running ANOVA on binary data? (11 messages)
• spss dummy variable regression--urgent (3 messages)
• the accuracy of the device (5 messages)
• un subscribe (2 messages)
• variables fro factor scores (3 messages)
• variance explained (2 messages)
• z test comparison between two correlations (one r negative and one r positive) (2 messages)

1. "SORT CASES BY" memory problem.
   • "SORT CASES BY" memory problem. (34 lines)
     From: Daniel E WILLIAMS <Daniel.E.Williams@state.or.us>
   • Re: "SORT CASES BY" memory problem. (110 lines)
     From: Barnett, Adrian (HEALTH) <adrian.barnett@HEALTH.SA.GOV.AU>
   • Re: "SORT CASES BY" memory problem. (141 lines)
     From: Chris Conley <Conley_Chris@durham.edu.on.ca>
   • Re: "SORT CASES BY" memory problem. (237 lines)
     From: Albert-jan Roskam <fomcl@yahoo.com>
   • Re: "SORT CASES BY" memory problem. (225 lines)
     From: Albert-jan Roskam <fomcl@yahoo.com>
   • Re: "SORT CASES BY" memory problem. (248 lines)
     From: Suvra Kundu <suvra.kundu@acnielsen-bd.com>

2. "significantly" not significant
   • "significantly" not significant (26 lines)
     From: Rohan Lulham <Rohan@STUDENT.USYD.EDU.AU>
   • Re: "significantly" not significant (73 lines)
     From: Dominic Lusinchi <dominic@farwestresearch.com>
   • Re: "significantly" not significant (41 lines)
     From: David Hitchin <d.h.hitchin@sussex.ac.uk>

3. (C)NLR with log-likelihood loss function
   • (C)NLR with log-likelihood loss function (24 lines)
     From: Gary Rosin <grosin@stcl.edu>
   • Re: (C)NLR with log-likelihood loss function (45 lines)
     From: Spousta Jan <JSpousta@CSAS.CZ>
   • Re: (C)NLR with log-likelihood loss function (49 lines)
     From: Gary Rosin <grosin@stcl.edu>
   • Re: (C)NLR with log-likelihood loss function (44 lines)
     From: Gary Rosin <grosin@stcl.edu>
   • Re: (C)NLR with log-likelihood loss function (61 lines)
     From: Marta García-Granero <biostatistics@terra.es>
   • Re: (C)NLR with log-likelihood loss function (92 lines)
     From: Anthony Babinec <tbabinec@sbcglobal.net>
   • Re: (C)NLR with log-likelihood loss function (94 lines)
     From: Gary Rosin <grosin@stcl.edu>
   • Re: (C)NLR with log-likelihood loss function (81 lines)
     From: Marta García-Granero <biostatistics@terra.es>
   • Re: (C)NLR with log-likelihood loss function (72 lines)
     From: Marta García-Granero <biostatistics@terra.es>
   • Re: (C)NLR with log-likelihood loss function (170 lines)
     From: Marta García-Granero <biostatistics@terra.es>

4. ....wise regression analysis (was: "Addition of covariates in forward regression analyses")
   • ....wise regression analysis (was: "Addition of covariates in forward regression analyses") (72 lines)
     From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>
   • Re: ....wise regression analysis (was: "Addition of covariates in forward regression analyses") (106 lines)
     From: Marta García-Granero <biostatistics@terra.es>

5. 10 most frequent occurring values of a multiple response set ( REVISITED )
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (32 lines)
     From: Edward Boadi <eboadi@abhct.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (43 lines)
     From: Beadle, ViAnn <viann@spss.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (90 lines)
     From: Edward Boadi <eboadi@abhct.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (103 lines)
     From: Beadle, ViAnn <viann@spss.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (121 lines)
     From: Edward Boadi <eboadi@abhct.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (140 lines)
     From: Simon Freidin <simonpf@unimelb.edu.au>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (136 lines)
     From: Art Kendall <Art@DrKendall.org>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (157 lines)
     From: Edward Boadi <eboadi@abhct.com>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (203 lines)
     From: Simon Freidin <simonpf@unimelb.edu.au>
   • Re: 10 most frequent occurring values of a multiple response set ( REVISITED ) (222 lines)
     From: Edward Boadi <eboadi@abhct.com>

6. 10 most frequent occurring values of a multiple response set (REVISITED )
   • Re: 10 most frequent occurring values of a multiple response set (REVISITED ) (156 lines)
     From: Edward Boadi <eboadi@abhct.com>

7. : Cluster Analysis - Seeds needed for K-Means
   • : Cluster Analysis - Seeds needed for K-Means (162 lines)
     From: Michael Pearmain <Michael.Pearmain@tangozebra.com>

8. <No subject>
   • <No subject> (16 lines)
     From: Sibusiso Moyo <smoyo@targetrx.com>

9. =?us-ascii?Q?Re=3AConvert=20all=20for=20Numeric=20Type?=
   • =?us-ascii?Q?Re=3AConvert=20all=20for=20Numeric=20Type?= (61 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

10. AMOS 5 and weighted data
    • AMOS 5 and weighted data (19 lines)
      From: Bryan Tec <proglists@gmail.com>

11. ANNOUNCE: REMINDER SPSS USERS MEETING 2006
    • ANNOUNCE: REMINDER SPSS USERS MEETING 2006 (163 lines)
      From: Peter Watson <peter.watson@mrc-cbu.cam.ac.uk>

12. AW: "significantly" not significant
    • AW: "significantly" not significant (58 lines)
      From: la volta statistics <schmidhauser@lavolta.ch>
    • Re: AW: "significantly" not significant (121 lines)
      From: Rohan Lulham <rlul2096@mail.usyd.edu.au>

13. AW: Statistical Analysis Plan
    • AW: Statistical Analysis Plan (62 lines)
      From: la volta statistics <schmidhauser@lavolta.ch>
    • Re: AW: Statistical Analysis Plan (72 lines)
      From: Manmit Shrimali <MShrimali@marketrx.com>

14. AW: [SPSSX-L] PLS/PLSR
    • AW: [SPSSX-L] PLS/PLSR (127 lines)
      From: Heiko Klemm <Heiko.Klemm@dpwnbc.net>

15. About Interactive Bar Charts - labelling & sorting
    • About Interactive Bar Charts - labelling & sorting (43 lines)
      From: Karl Koch <TheRanger@gmx.net>

16. Adding numbers in columns - HELP please.
    • Adding numbers in columns - HELP please. (28 lines)
      From: Fahim Jafary <jafary@pobox.com>
    • Re: Adding numbers in columns - HELP please. (49 lines)
      From: Jason Burke <burke.jasonm@gmail.com>

17. Addition of covariates in forward regression analyses
    • Re: Addition of covariates in forward regression analyses (189 lines)
      From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>
    • Re: Addition of covariates in forward regression analyses (52 lines)
      From: Marta García-Granero <biostatistics@terra.es>

18. Adjusted and crude odds ratio
    • Adjusted and crude odds ratio (36 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>

19. Another plotting question
    • Another plotting question (23 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Another plotting question (40 lines)
      From: Beadle, ViAnn <viann@spss.com>

20. Art Kendall - request contact
    • Art Kendall - request contact (14 lines)
      From: Richard Ristow <wrristow@mindspring.com>

21. Automating SPSS
    • Automating SPSS (31 lines)
      From: Bruno Berszoner <Bruno_Berszoner@TUFTS-HEALTH.COM>
    • Re: Automating SPSS (89 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>
    • Re: Automating SPSS (48 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Automating SPSS (119 lines)
      From: Bruno Berszoner <Bruno_Berszoner@tufts-health.com>
    • Re: Automating SPSS (165 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>

22. Basic Stat Question
    • Basic Stat Question (22 lines)
      From: Smith, Brenda R. <brsmith@nsu.edu>
    • Re: Basic Stat Question (70 lines)
      From: Beadle, ViAnn <viann@spss.com>
    • Re: Basic Stat Question (25 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>

23. Beta Coefficient
    • Beta Coefficient (22 lines)
      From: Marco van de Ven <mvenus82@YAHOO.CO.UK>
    • Re: Beta Coefficient (59 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

24. Box&Whisker Plot Query
    • Box&Whisker Plot Query (17 lines)
      From: Mark Webb <targetlk@iafrica.com>
    • Re: Box&Whisker Plot Query (26 lines)
      From: Beadle, ViAnn <viann@spss.com>

25. Calculating percents for a dimension
    • Calculating percents for a dimension (43 lines)
      From: Laura Leach <lleach80@HOTMAIL.COM>
    • Re: Calculating percents for a dimension (93 lines)
      From: Justin Black <justin.black@gmail.com>
    • Re: Calculating percents for a dimension (81 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: Calculating percents for a dimension (105 lines)
      From: Beadle, ViAnn <viann@spss.com>
    • Re: Calculating percents for a dimension (46 lines)
      From: Laura Leach <lleach80@HOTMAIL.COM>

26. Can do Anything on my PC when running Syntax (v 14)
    • Can do Anything on my PC when running Syntax (v 14) (17 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: Can do Anything on my PC when running Syntax (v 14) (37 lines)
      From: Beadle, ViAnn <viann@spss.com>
    • Re: Can do Anything on my PC when running Syntax (v 14) (49 lines)
      From: Edward Boadi <eboadi@abhct.com>

27. Change in output from SYSFILE INFO v 13 to v 14
    • Change in output from SYSFILE INFO v 13 to v 14 (46 lines)
      From: Cleland, Patricia (EDU) <Patricia.Cleland@ONTARIO.CA>

28. Changing Variable Names and Deleting Variables Via Syntax
    • Changing Variable Names and Deleting Variables Via Syntax (20 lines)
      From: Jim Moffitt <james.moffitt@thomson.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (41 lines)
      From: Vivek Kurup <vkurup@opinionsearch.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (48 lines)
      From: Dominic Lusinchi <dominic@farwestresearch.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (54 lines)
      From: Siraj Ur-rehman <Siraj.Ur-rehman@Ipsos-ASI.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (87 lines)
      From: Carlos Renato <renato.stat@gmail.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (53 lines)
      From: Carlos Renato <renato.stat@gmail.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (96 lines)
      From: Jim Moffitt <james.moffitt@thomson.com>
    • Re: Changing Variable Names and Deleting Variables Via Syntax (35 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>

29. Clarification on file filter question
    • Clarification on file filter question (36 lines)
      From: GREENE Teresa <Teresa.Greene@state.or.us>
    • Re: Clarification on file filter question (42 lines)
      From: Gene Maguin <emaguin@buffalo.edu>

30. Cluster Analysis - Seeds needed for K-Means
    • Cluster Analysis - Seeds needed for K-Means (28 lines)
      From: Aaron Eakman <ameakman@EARTHLINK.NET>
    • Re: Cluster Analysis - Seeds needed for K-Means (79 lines)
      From: Michael Pearmain <Michael.Pearmain@tangozebra.com>
    • Re: Cluster Analysis - Seeds needed for K-Means (94 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Cluster Analysis - Seeds needed for K-Means (163 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Cluster Analysis - Seeds needed for K-Means (124 lines)
      From: Aaron Eakman <ameakman@EARTHLINK.NET>
    • Re: Cluster Analysis - Seeds needed for K-Means (101 lines)
      From: Aaron Eakman <ameakman@EARTHLINK.NET>
    • Re: Cluster Analysis - Seeds needed for K-Means (88 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Cluster Analysis - Seeds needed for K-Means (136 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Cluster Analysis - Seeds needed for K-Means (189 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Cluster Analysis - Seeds needed for K-Means (46 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

31. Column proportion with p-value
    • Column proportion with p-value (18 lines)
      From: Manmit Shrimali <MShrimali@marketrx.com>

32. Combining Aggregate and Individual Data Points in 1 Custom Table
    • Combining Aggregate and Individual Data Points in 1 Custom Table (32 lines)
      From: Noel <noel_kinder@yahoo.com>
    • Re: Combining Aggregate and Individual Data Points in 1 Custom Table (51 lines)
      From: Beadle, ViAnn <viann@spss.com>
    • Re: Combining Aggregate and Individual Data Points in 1 Custom Table (131 lines)
      From: Noel <noel_kinder@yahoo.com>
    • Re: Combining Aggregate and Individual Data Points in 1 Custom Table (168 lines)
      From: hillel <hilel@BGU.AC.IL>

33. Compare odds ratios
    • Compare odds ratios (16 lines)
      From: Lou <charl_bean@YAHOO.CO.UK>
    • Re: Compare odds ratios (41 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Compare odds ratios (54 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Compare odds ratios (72 lines)
      From: Lou <charl_bean@YAHOO.CO.UK>
    • Re: Compare odds ratios (86 lines)
      From: Lou <charl_bean@YAHOO.CO.UK>
    • Re: Compare odds ratios (129 lines)
      From: Adam Troy <abtroy@optonline.net>
    • Re: Compare odds ratios (121 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Compare odds ratios (141 lines)
      From: Lou <charl_bean@YAHOO.CO.UK>
    • Re: Compare odds ratios (167 lines)
      From: Lou <charl_bean@YAHOO.CO.UK>
    • Re: Compare odds ratios (45 lines)
      From: Marta García-Granero <biostatistics@terra.es>

34. Comparing correlation matrices
    • Comparing correlation matrices (33 lines)
      From: kornbrot <d.e.kornbrot@herts.ac.uk>

35. Computing average variance extracted in SPSS
    • Computing average variance extracted in SPSS (45 lines)
      From: G. David Garson <Garson@social.chass.ncsu.edu>

36. Convert all for Numeric Type
    • Convert all for Numeric Type (34 lines)
      From: Carlos Renato <renato.stat@gmail.com>
    • Re: Convert all for Numeric Type (57 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Convert all for Numeric Type (45 lines)
      From: Art Kendall <Art@DrKendall.org>

37. Correlation of Continuous and Dichotomous Variable
    • Correlation of Continuous and Dichotomous Variable (19 lines)
      From: BTibert@bentley.edu
    • Re: Correlation of Continuous and Dichotomous Variable (59 lines)
      From: Statisticsdoc <statisticsdoc@cox.net>

38. Correspondence Analysis Macro
    • Correspondence Analysis Macro (93 lines)
      From: Brandon Paris <Brandon.Paris@genmills.com>
    • Re: Correspondence Analysis Macro (119 lines)
      From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
    • Re: Correspondence Analysis Macro (148 lines)
      From: Brandon Paris <Brandon.Paris@genmills.com>
    • Re: Correspondence Analysis Macro (183 lines)
      From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>

39. Create an Install Package for VB/SPSS Automation
    • Create an Install Package for VB/SPSS Automation (19 lines)
      From: khauskins@HRCPINSIGHTS.COM
    • Re: Create an Install Package for VB/SPSS Automation (41 lines)
      From: Antro <antro@spss.com>

40. Creating a date variable
    • Re: Creating a date variable (20 lines)
      From: Sibusiso Moyo <smoyo@targetrx.com>
    • Re: Creating a date variable (36 lines)
      From: Beadle, ViAnn <viann@spss.com>
    • Re: Creating a date variable (28 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Creating a date variable (55 lines)
      From: Sibusiso Moyo <smoyo@targetrx.com>

41. Creative cumulative frequency in SPSS
    • Creative cumulative frequency in SPSS (32 lines)
      From: noman.siddiqui <noman.siddiqui@aku.edu>
    • Re: Creative cumulative frequency in SPSS (81 lines)
      From: Marta García-Granero <biostatistics@terra.es>

42. Custom Table
    • Custom Table (25 lines)
      From: Vallinayagam <nayagam_valli@REDIFFMAIL.COM>
    • Re: Custom Table (43 lines)
      From: Peck, Jon <peck@spss.com>

43. Custom Tables Question: Use of Chi-Square for Independence vs. Z-Test for Equality of Column Proportions
    • Re: Custom Tables Question: Use of Chi-Square for Independence vs. Z-Test for Equality of Column Proportions (59 lines)
      From: David Greenberg <dg4@nyu.edu>

44. DATA LIST error message
    • DATA LIST error message (55 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: DATA LIST error message (37 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: DATA LIST error message (49 lines)
      From: Richard Ristow <wrristow@mindspring.com>

45. Data imputation
    • Data imputation (33 lines)
      From: Nana Nadine <ngbnana@yahoo.com>

46. Defining categorical variables
    • Defining categorical variables (33 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>
    • Re: Defining categorical variables (40 lines)
      From: Laurie Petch (sent by Nabble.com) <lists@nabble.com>
    • Re: Defining categorical variables (66 lines)
      From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
    • Re: Defining categorical variables (61 lines)
      From: Marc <marc_feuerstein@yahoo.com>
    • Re: Defining categorical variables (77 lines)
      From: Marta García-Granero <biostatistics@terra.es>

47. Defining categorical variables/ Wilson Meta-analysis Macro
    • Re: Defining categorical variables/ Wilson Meta-analysis Macro (47 lines)
      From: Laurie Petch <lauriepetch@sasktel.net>

48. Differences in variable values
    • Re: Differences in variable values (58 lines)
      From: Sibusiso Moyo <smoyo@targetrx.com>
    • Re: Differences in variable values (54 lines)
      From: Marta García-Granero <biostatistics@terra.es>

49. Discriminant Analysis Obtaining Combined Groups Plot
    • Discriminant Analysis Obtaining Combined Groups Plot (28 lines)
      From: Dr. G. Steube, CCP <mensamathguy@comcast.net>

50. Dispersion
    • Dispersion (21 lines)
      From: Siraj Ur-rehman <Siraj.Ur-rehman@Ipsos-ASI.com>
    • Re: Dispersion (38 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Dispersion (49 lines)
      From: Siraj Ur-rehman <Siraj.Ur-rehman@Ipsos-ASI.com>
    • Re: Dispersion (61 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: Dispersion (48 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Dispersion (84 lines)
      From: David C <chapmandw@gmail.com>
    • Re: Dispersion (81 lines)
      From: Siraj Ur-rehman <Siraj.Ur-rehman@Ipsos-ASI.com>

51. Display labels
    • Display labels (25 lines)
      From: Jamison, Cheryl S <cjamison@indiana.edu>
    • Re: Display labels (41 lines)
      From: Manmit Shrimali <MShrimali@marketrx.com>
    • Re: Display labels (67 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>
    • Re: Display labels (37 lines)
      From: Peck, Jon <peck@spss.com>

52. Elapsed Time Calculation
    • Elapsed Time Calculation (80 lines)
      From: Shannon Deike-Sims <ansld1@uaa.alaska.edu>
    • Re: Elapsed Time Calculation (124 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: Elapsed Time Calculation (46 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Elapsed Time Calculation (100 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: Elapsed Time Calculation (81 lines)
      From: Richard Ristow <wrristow@mindspring.com>

53. Elapsed Time Calculation (CORRECTION)
    • Elapsed Time Calculation (CORRECTION) (169 lines)
      From: Shannon Deike-Sims <ansld1@uaa.alaska.edu>

54. Errors
    • Errors (17 lines)
      From: Dan Van Dussen <danielv1@umbc.edu>

55. Export SPSS text output
    • Export SPSS text output (92 lines)
      From: Winson Yeung <winson.yeung@spss.com.hk>
    • Re: Export SPSS text output (120 lines)
      From: Antro <antro@spss.com>
    • Re: Export SPSS text output (139 lines)
      From: Winson Yeung <winson.yeung@spss.com.hk>

56. FW: Message ("There is no LISTSERV list on this server. Try...")
    • FW: Message ("There is no LISTSERV list on this server. Try...") (32 lines)
      From: Cathy Underhill <Cathy.Underhill@statcan.ca>
    • Re: FW: Message ("There is no LISTSERV list on this server. Try...") (51 lines)
      From: Tesiny, Ed <EdTesiny@oasas.state.ny.us>

57. FW: Re: SPSS question
    • FW: Re: SPSS question (148 lines)
      From: Weeks, Kyle <kweeks@spss.com>

58. FW: twostep cluster - definitive
    • FW: twostep cluster - definitive (23 lines)
      From: Allan Reese (Cefas) <allan.reese@cefas.co.uk>

59. Filter file possible?
    • Filter file possible? (19 lines)
      From: GREENE Teresa <Teresa.Greene@state.or.us>
    • Re: Filter file possible? (35 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>
    • Re: Filter file possible? (72 lines)
      From: GREENE Teresa <Teresa.Greene@state.or.us>
    • Re: Filter file possible? (121 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Filter file possible? (179 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Filter file possible? (78 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Filter file possible? (39 lines)
      From: hillel <hilel@BGU.AC.IL>

60. Filter file possible? - interleaving dates
    • Re: Filter file possible? - interleaving dates (131 lines)
      From: hillel <hilel@BGU.AC.IL>

61. First question
    • First question (57 lines)
      From: Sandeep Soman <ssoman1@hfhs.org>
    • Re: First question (58 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: First question (32 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>
    • Re: First question (88 lines)
      From: Sandeep Soman <ssoman1@hfhs.org>

62. Formatting Titles in Output & AutoFit Tables in Output/Word
    • Formatting Titles in Output & AutoFit Tables in Output/Word (27 lines)
      From: Ian Kudel <ikudel@yahoo.com>

63. GET DATA /Type=ODBC questions
    • GET DATA /Type=ODBC questions (39 lines)
      From: Dennis Deck <DDeck@rmccorp.com>
    • Re: GET DATA /Type=ODBC questions (85 lines)
      From: Dennis Deck <DDeck@rmccorp.com>
    • Re: GET DATA /Type=ODBC questions (93 lines)
      From: Oliver, Richard <roliver@SPSS.COM>

64. GUI Development with reimbursement
    • GUI Development with reimbursement (53 lines)
      From: Georg Maubach <Georg.Maubach@dpwnbc.net>

65. Graphing function
    • Graphing function (43 lines)
      From: Cynthia L Conley <cindy.conley@louisville.edu>

66. Grouped Percentage
    • Grouped Percentage (55 lines)
      From: Peter <peter.masson@MNR.GOV.ON.CA>

67. Help With Classification Trees
    • Help With Classification Trees (23 lines)
      From: Cardiff Tyke <cardifftyke@yahoo.co.uk>
    • Re: Help With Classification Trees (59 lines)
      From: Oliver, Richard <roliver@SPSS.COM>

68. Help me please
    • Help me please (44 lines)
      From: jesus Pastor <buenamigoes@hotmail.com>

69. Help with simple syntax
    • Help with simple syntax (16 lines)
      From: Cardiff Tyke <cardifftyke@yahoo.co.uk>
    • Re: Help with simple syntax (39 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>
    • Re: Help with simple syntax (26 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>

70. Hierarchical Cluster Analysis
    • Hierarchical Cluster Analysis (40 lines)
      From: Joel M SHERMAN <Joel.M.Sherman@state.or.us>
    • Re: Hierarchical Cluster Analysis (79 lines)
      From: Art Kendall <Art@DrKendall.org>

71. How to Calculate the Component Score Coefficient Matrix
    • How to Calculate the Component Score Coefficient Matrix (17 lines)
      From: Alex Cao <alex.cao@gmail.com>
    • Re: How to Calculate the Component Score Coefficient Matrix (31 lines)
      From: Dan Zetu <dzetu@hotmail.com>
    • Re: How to Calculate the Component Score Coefficient Matrix (40 lines)
      From: Alex Cao <alex.cao@gmail.com>
    • Re: How to Calculate the Component Score Coefficient Matrix (57 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: How to Calculate the Component Score Coefficient Matrix (68 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

72. How to compare correlation matrices
    • Re: How to compare correlation matrices (45 lines)
      From: kornbrot <d.e.kornbrot@herts.ac.uk>

73. How to set condition for save tranlate
    • How to set condition for save tranlate (19 lines)
      From: alps <yihfen_84@YAHOO.COM>
    • Re: How to set condition for save tranlate (22 lines)
      From: Jason Burke <burke.jasonm@gmail.com>

74. How to unsubscribe
    • How to unsubscribe (14 lines)
      From: Raghda AlAtia <alatia@hotmail.com>
    • Re: How to unsubscribe (47 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: How to unsubscribe (28 lines)
      From: Willy B. Winata <wbwinata@cbn.net.id>
    • Re: How to unsubscribe (49 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

75. Insignificant variable removed in logistic regression
    • Insignificant variable removed in logistic regression (21 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>
    • Insignificant variable removed in logistic regression (21 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>
    • Re: Insignificant variable removed in logistic regression (61 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

76. Interesting phenomenon
    • Interesting phenomenon (31 lines)
      From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>
    • Re: Interesting phenomenon (65 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>
    • Re: Interesting phenomenon (53 lines)
      From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>
    • Re: Interesting phenomenon (83 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>
    • Re: Interesting phenomenon (102 lines)
      From: David Hitchin <d.h.hitchin@sussex.ac.uk>
    • Re: Interesting phenomenon (46 lines)
      From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>
    • Re: Interesting phenomenon (58 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>
    • Re: Interesting phenomenon (122 lines)
      From: Fabrice GABARROT <Fabrice.Gabarrot@PSE.UNIGE.CH>
    • Re: Interesting phenomenon (40 lines)
      From: Peters Gj (PSYCHOLOGY) <Gj.Peters@PSYCHOLOGY.unimaas.nl>

77. Interpretation from transformed variable in ANOVA
    • Interpretation from transformed variable in ANOVA (24 lines)
      From: Jatender Mohal <j.mohal@sheffield.ac.uk>
    • Re: Interpretation from transformed variable in ANOVA (46 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Interpretation from transformed variable in ANOVA (73 lines)
      From: Jatender Mohal <j.mohal@sheffield.ac.uk>
    • Re: Interpretation from transformed variable in ANOVA (108 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Interpretation from transformed variable in ANOVA (139 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Interpretation from transformed variable in ANOVA (152 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

78. Intrepretation of deff
    • Intrepretation of deff (27 lines)
      From: benard nyakundi <nyanardz@yahoo.com>
    • Re: Intrepretation of deff (67 lines)
      From: Lisa Stickney <Lts1@ptd.net>

79. Introduction to clementine
    • Introduction to clementine (19 lines)
      From: Euclid Associates <euclidassociates@gmail.com>
    • Re: Introduction to clementine (32 lines)
      From: Jason Burke <burke.jasonm@gmail.com>

80. Is there any SPSS script to execute syntax?
    • Is there any SPSS script to execute syntax? (9 lines)
      From: alps <yihfen_84@YAHOO.COM>

81. K clustering preassigning some members in SPSS 14.0
    • K clustering preassigning some members in SPSS 14.0 (19 lines)
      From: OZGU GILL <ozgu35@yahoo.com>
    • Re: K clustering preassigning some members in SPSS 14.0 (70 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>
    • Re: K clustering preassigning some members in SPSS 14.0 (43 lines)
      From: Anthony Babinec <tbabinec@sbcglobal.net>
    • Re: K clustering preassigning some members in SPSS 14.0 (55 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: K clustering preassigning some members in SPSS 14.0 (33 lines)
      From: Steve Peck <link@umich.edu>

82. LEAD function
    • LEAD function (54 lines)
      From: Yifan Lu <Yifan@IBIWEB.ORG>
    • Re: LEAD function (24 lines)
      From: Richard Ristow <wrristow@mindspring.com>

83. Learning to program in SPSS macros
    • Re: Learning to program in SPSS macros (16 lines)
      From: Sibusiso Moyo <smoyo@targetrx.com>
    • Re: Learning to program in SPSS macros (50 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Learning to program in SPSS macros (59 lines)
      From: Sibusiso Moyo <smoyo@targetrx.com>

84. Logistic regression: Sensitivity, Specificity, % False Negative a nd % False Positive
    • Logistic regression: Sensitivity, Specificity, % False Negative a nd % False Positive (21 lines)
      From: Patricia Cleland <Patricia.Cleland@edu.gov.on.ca>
    • Re: Logistic regression: Sensitivity, Specificity, % False Negative a nd % False Positive (79 lines)
      From: Marta García-Granero <biostatistics@terra.es>

85. Logistic regression: Sensitivity, Specificity,% False Negative a nd % False Positive
    • Re: Logistic regression: Sensitivity, Specificity,% False Negative a nd % False Positive (42 lines)
      From: Della Mora, Marcelo <marcelo.dellamora@citigroup.com>

86. Loop and macro help
    • Loop and macro help (42 lines)
      From: Laura Leach <lleach80@HOTMAIL.COM>
    • Re: Loop and macro help (103 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>
    • Re: Loop and macro help (37 lines)
      From: Laura Leach <lleach80@HOTMAIL.COM>
    • Re: Loop and macro help (609 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>

87. Loop and macro help (2)
    • Re: Loop and macro help (2) (75 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>

88. Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit
    • Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (26 lines)
      From: Gary Rosin <grosin@stcl.edu>
    • Re: Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (55 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (24 lines)
      From: Gary Rosin <grosin@stcl.edu>
    • Re: Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (42 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Loss function for log-likelihood nonlinear regression of proportion via Inverse Logit (34 lines)
      From: Gary Rosin <grosin@stcl.edu>

89. Macro method with CTABLES
    • Macro method with CTABLES (21 lines)
      From: Carlos Renato <renato.stat@gmail.com>
    • Re: Macro method with CTABLES (43 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Macro method with CTABLES (67 lines)
      From: Carlos Renato <renato.stat@gmail.com>

90. Measures of agreement for individuals categories when the cat egories are ordinal
    • Re: Measures of agreement for individuals categories when the cat egories are ordinal (67 lines)
      From: Dates, Brian <BDATES@swsol.org>

91. Measures of agreement for individuals categories when the categories are ordinal
    • Measures of agreement for individuals categories when the categories are ordinal (28 lines)
      From: Margaret MacDougall <margmacd@talk21.com>
    • Re: Measures of agreement for individuals categories when the categories are ordinal (49 lines)
      From: Marta García-Granero <biostatistics@terra.es>

92. Missing confidence interval for 25th percentile
    • Missing confidence interval for 25th percentile (23 lines)
      From: Margaret MacDougall <margmacd@talk21.com>
    • Re: Missing confidence interval for 25th percentile (50 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Missing confidence interval for 25th percentile (65 lines)
      From: Margaret MacDougall <margmacd@talk21.com>

93. Missing create function in version 14 after update to 14.1
    • Missing create function in version 14 after update to 14.1 (31 lines)
      From: Roberts, Michael <robertsm@ahca.myflorida.com>
    • Re: Missing create function in version 14 after update to 14.1 (53 lines)
      From: Peck, Jon <peck@spss.com>

94. Multicollinearity in SPSS
    • Multicollinearity in SPSS (52 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>
    • Re: Multicollinearity in SPSS (54 lines)
      From: Will Bailey [Statman] <statmanz@earthlink.net>
    • Re: Multicollinearity in SPSS (80 lines)
      From: Jason McNellis <askmcnellis@HOTMAIL.COM>
    • Re: Multicollinearity in SPSS (25 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>
    • Re: Multicollinearity in SPSS (43 lines)
      From: Will Bailey [Statman] <statmanz@earthlink.net>
    • Re: Multicollinearity in SPSS (17 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>

95. Multiple Regression & Interactions
    • Multiple Regression & Interactions (25 lines)
      From: K S Scot <statsq@HOTMAIL.CO.UK>
    • Re: Multiple Regression & Interactions (47 lines)
      From: Jeff <stat3@jp.pair.com>
    • Re: Multiple Regression & Interactions (25 lines)
      From: Stats Q <statsq@hotmail.co.uk>
    • Re: Multiple Regression & Interactions (150 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Multiple Regression & Interactions (198 lines)
      From: Fabrice GABARROT <Fabrice.Gabarrot@PSE.UNIGE.CH>

96. My First SPSS Script
    • My First SPSS Script (70 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: My First SPSS Script (116 lines)
      From: Egon Kraan <egon.kraan@tns-global.com>
    • Re: My First SPSS Script (138 lines)
      From: Edward Boadi <eboadi@abhct.com>
    • Re: My First SPSS Script (174 lines)
      From: Egon Kraan <egon.kraan@tns-global.com>
    • Re: My First SPSS Script (186 lines)
      From: Edward Boadi <eboadi@abhct.com>

97. Nagelkerke
    • Nagelkerke (21 lines)
      From: Love (sent by Nabble.com) <lists@nabble.com>

98. Need help with aggregate macro with multiple file saves
    • Need help with aggregate macro with multiple file saves (29 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>
    • Re: Need help with aggregate macro with multiple file saves (90 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Need help with aggregate macro with multiple file saves (14 lines)
      From: Ken Chui <kenneth.chui@GMAIL.COM>

99. Numeric transliteration, anomalies and outliers
    • Numeric transliteration, anomalies and outliers (141 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

100. ODBC Data Access Question
     • ODBC Data Access Question (37 lines)
       From: Jeff <stat3@jp.pair.com>
     • Re: ODBC Data Access Question (61 lines)
       From: Jeff <stat3@jp.pair.com>
     • Re: ODBC Data Access Question (64 lines)
       From: Oliver, Richard <roliver@SPSS.COM>
     • Re: ODBC Data Access Question (98 lines)
       From: Oliver, Richard <roliver@SPSS.COM>
     • Re: ODBC Data Access Question (73 lines)
       From: Jeff <stat3@jp.pair.com>
     • Re: ODBC Data Access Question (118 lines)
       From: Oliver, Richard <roliver@SPSS.COM>

101. One question about multiple response
     • One question about multiple response (21 lines)
       From: Mojdeh Jamnia <M.Jamnia@exeter.ac.uk>
     • Re: One question about multiple response (62 lines)
       From: Dominic Lusinchi <dominic@farwestresearch.com>
     • Re: One question about multiple response (48 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: One question about multiple response (32 lines)
       From: Beadle, ViAnn <viann@spss.com>

102. Out of the office
     • Out of the office (10 lines)
       From: Thomas M. Guterbock <tmg1p@cms.mail.virginia.edu>
     • Out of the office (10 lines)
       From: Thomas M. Guterbock <tmg1p@cms.mail.virginia.edu>

103. Outlier detection
     • Outlier detection (164 lines)
       From: Abdul Azeez <eabdul75@hotmail.com>
     • Re: Outlier detection (222 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: Outlier detection (221 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Outlier detection (460 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Outlier detection (19 lines)
       From: Ken Chui <kenneth.chui@GMAIL.COM>
     • Re: Outlier detection (43 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Outlier detection (57 lines)
       From: Ken Chui <kenneth.chui@GMAIL.COM>
     • Re: Outlier detection (61 lines)
       From: abdul <eabdul75@hotmail.com>
     • Re: Outlier detection (101 lines)
       From: Statisticsdoc <statisticsdoc@cox.net>
     • Re: Outlier detection (49 lines)
       From: Richard Ristow <wrristow@mindspring.com>

104. PLS/PLSR
     • PLS/PLSR (49 lines)
       From: Heiko Klemm <Heiko.Klemm@dpwnbc.net>

105. Performance Measures
     • Performance Measures (21 lines)
       From: Daniel E WILLIAMS <Daniel.E.Williams@state.or.us>
     • Re: Performance Measures (58 lines)
       From: Dennis Deck <DDeck@rmccorp.com>
     • Re: Performance Measures (37 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Performance Measures (72 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Performance Measures (22 lines)
       From: Michael Healy <healym@earthlink.net>

106. Photos
     • Photos (36 lines)
       From: Iheb Bougmiza <bougmizaiheb@yahoo.fr>

107. Photos : error
     • Photos : error (15 lines)
       From: iheb bougmiza <bougmizaiheb@yahoo.fr>

108. Plo command on GLM
     • Plo command on GLM (26 lines)
       From: Gene Maguin <emaguin@buffalo.edu>

109. Plots of interaction terms in cox regression
     • Plots of interaction terms in cox regression (30 lines)
       From: Claus D. Hansen <ClausHansen@pc.dk>

110. Plotting
     • Plotting (29 lines)
       From: Gene Maguin <emaguin@buffalo.edu>
     • Re: Plotting (80 lines)
       From: kornbrot <d.e.kornbrot@herts.ac.uk>

111. Power analysis for comparison of variances of paired samples
     • Re: Power analysis for comparison of variances of paired samples (66 lines)
       From: Marta García-Granero <biostatistics@terra.es>

112. Prepping Data from Web Application for SPSS Import with Data/Variable Labels
     • Prepping Data from Web Application for SPSS Import with Data/Variable Labels (43 lines)
       From: Dan Olsen <dano@factortg.com>

113. Problem with Include and Python
     • Problem with Include and Python (44 lines)
       From: Cleland, Patricia (EDU) <Patricia.Cleland@ONTARIO.CA>
     • Re: Problem with Include and Python (60 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Problem with Include and Python (62 lines)
       From: Oliver, Richard <roliver@SPSS.COM>

114. Python Path
     • Python Path (38 lines)
       From: Georg Maubach <Georg.Maubach@dpwnbc.net>
     • Re: Python Path (64 lines)
       From: Peck, Jon <peck@spss.com>

115. Q-Values and Homogeneity of effects sizes in Meta-analysis
     • Q-Values and Homogeneity of effects sizes in Meta-analysis (33 lines)
       From: Laurie Petch <lauriepetch@sasktel.net>
     • Re: Q-Values and Homogeneity of effects sizes in Meta-analysis (55 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Q-Values and Homogeneity of effects sizes in Meta-analysis (39 lines)
       From: Laurie Petch <lauriepetch@SASKTEL.NET>
     • Re: Q-Values and Homogeneity of effects sizes in Meta-analysis (58 lines)
       From: Marta García-Granero <biostatistics@terra.es>

116. Quit SPSS by syntax?
     • Quit SPSS by syntax? (14 lines)
       From: Guido Schiffhorst <g.schiffhorst@gmx.de>
     • Re: Quit SPSS by syntax? (32 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>

117. R language question
     • R language question (37 lines)
       From: Stephen Salbod <ssalbod@pace.edu>
     • Re: R language question (19 lines)
       From: Marc Halbrügge <marc.halbruegge@gmx.de>
     • Re: R language question (72 lines)
       From: Guido Möser <gmoeser@aol.com>

118. Rank Order Questions
     • Rank Order Questions (26 lines)
       From: David Lim <a9631196@yahoo.com>
     • Re: Rank Order Questions (42 lines)
       From: Marta García-Granero <biostatistics@terra.es>

119. Re : Power analysis for comparison of variances of paired samples
     • Re: Re : Power analysis for comparison of variances of paired samples (58 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Re : Power analysis for comparison of variances of paired samples (108 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Re : Power analysis for comparison of variances of paired samples (110 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: Re : Power analysis for comparison of variances of paired samples (51 lines)
       From: Marta García-Granero <biostatistics@terra.es>

120. Reading and Writing MS Excel and MS Access Files Using Python
     • Reading and Writing MS Excel and MS Access Files Using Python (21 lines)
       From: Georg Maubach <Georg.Maubach@dpwnbc.net>
     • Re: Reading and Writing MS Excel and MS Access Files Using Python (32 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Reading and Writing MS Excel and MS Access Files Using Python (42 lines)
       From: Peck, Jon <peck@spss.com>

121. Recode question
     • Re: Recode question (65 lines)
       From: Richard Ristow <wrristow@mindspring.com>

122. Recode value to sysmis
     • Recode value to sysmis (22 lines)
       From: Kevin Bladon <kevin.bladon@SILVACOM.COM>
     • Re: Recode value to sysmis (71 lines)
       From: Kevin Bladon <kevin.bladon@silvacom.com>
     • Re: Recode value to sysmis (50 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: Recode value to sysmis (82 lines)
       From: Christian Ganser <christian.ganser@soziologie.uni-muenchen.de>
     • Re: Recode value to sysmis (106 lines)
       From: Kevin Bladon <kevin.bladon@silvacom.com>
     • Re: Recode value to sysmis (110 lines)
       From: Art Kendall <Art@DrKendall.org>

123. Recoding
     • Recoding (39 lines)
       From: Love (sent by Nabble.com) <lists@nabble.com>

124. Recoding a combined variable
     • Recoding a combined variable (21 lines)
       From: [Ela Bonbevan] <bonbevan@AOL.COM>
     • Re: Recoding a combined variable (27 lines)
       From: Gene Maguin <emaguin@buffalo.edu>
     • Re: Recoding a combined variable (52 lines)
       From: Carlos Renato <renato.stat@gmail.com>

125. Recoding a variable into deciles
     • Recoding a variable into deciles (14 lines)
       From: Jeff Stuewig <jstuewig@gmu.edu>
     • Re: Recoding a variable into deciles (54 lines)
       From: Renji Abraham <RAbraham@aaalife.com>

126. Reference category for dummies in factor analysis
     • Reference category for dummies in factor analysis (72 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (99 lines)
       From: Dan Zetu <dzetu@hotmail.com>
     • Re: Reference category for dummies in factor analysis (139 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (104 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (187 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (125 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (276 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (217 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (315 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (441 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (676 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (273 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Reference category for dummies in factor analysis (787 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (327 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (575 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Reference category for dummies in factor analysis (624 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (735 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (759 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: Reference category for dummies in factor analysis (712 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Reference category for dummies in factor analysis (1459 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Reference category for dummies in factor analysis (1482 lines)
       From: Statisticsdoc <statisticsdoc@cox.net>
     • Re: Reference category for dummies in factor analysis (3001 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

127. Reference category in dummies
     • Reference category in dummies (50 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

128. Relationship between Sets of Dependent and Independent Variables
     • Relationship between Sets of Dependent and Independent Variables (25 lines)
       From: Susan M. Sereika <ssereika+@pitt.edu>
     • Re: Relationship between Sets of Dependent and Independent Variables (55 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Relationship between Sets of Dependent and Independent Variables (134 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

129. Restructure dataset with 3 demo vars into single var
     • Re: Restructure dataset with 3 demo vars into single var (68 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Restructure dataset with 3 demo vars into single var (221 lines)
       From: Richard Ristow <wrristow@mindspring.com>

130. Restructure dataset with 3 demo vars into single var+ little tricky part
     • Restructure dataset with 3 demo vars into single var+ little tricky part (79 lines)
       From: Brandon Arnieri <barnieri@swccd.edu>
     • Re: Restructure dataset with 3 demo vars into single var+ little tricky part (115 lines)
       From: Brandon Arnieri <barnieri@swccd.edu>
     • Re: Restructure dataset with 3 demo vars into single var+ little tricky part (28 lines)
       From: Gene Maguin <emaguin@buffalo.edu>

131. SCHEDULING SYNTAX
     • Re: SCHEDULING SYNTAX (8 lines)
       From: alps <yihfen_84@YAHOO.COM>
     • Re: SCHEDULING SYNTAX (33 lines)
       From: Beadle, ViAnn <viann@spss.com>

132. SIMCA: When number of Variables far exceeds number of cases
     • SIMCA: When number of Variables far exceeds number of cases (218 lines)
       From: FORCHEH, N. (DR.) <FORCHEHN@mopipi.ub.bw>

133. SPSS 14 network license log files
     • SPSS 14 network license log files (43 lines)
       From: Carina Ortseifen <carina.ortseifen@urz.uni-heidelberg.de>

134. SPSS Graphs
     • SPSS Graphs (23 lines)
       From: Siraj Ur-rehman <Siraj.Ur-rehman@Ipsos-ASI.com>
     • Re: SPSS Graphs (36 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: SPSS Graphs (54 lines)
       From: Jason McNellis <askmcnellis@HOTMAIL.COM>
     • Re: SPSS Graphs (67 lines)
       From: Beadle, ViAnn <viann@spss.com>

135. SPSS for Machintosh- Juan Albertorio NCHS
     • SPSS for Machintosh- Juan Albertorio NCHS (21 lines)
       From: Albertorio, Juan R. (CDC/CCHIS/NCHS) <jna8@cdc.gov>
     • Re: SPSS for Machintosh- Juan Albertorio NCHS (45 lines)
       From: Jeffrey Berman <jberman@memphis.edu>
     • Re: SPSS for Machintosh- Juan Albertorio NCHS (62 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: SPSS for Machintosh- Juan Albertorio NCHS (71 lines)
       From: Gary Barnes <gdayton@mac.com>
     • Re: SPSS for Machintosh- Juan Albertorio NCHS (33 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>

136. SPSS for disabilities?
     • SPSS for disabilities? (26 lines)
       From: Jeff <stat3@jp.pair.com>
     • Re: SPSS for disabilities? (56 lines)
       From: Dominic Lusinchi <dominic@farwestresearch.com>
     • Re: SPSS for disabilities? (49 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: SPSS for disabilities? (93 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: SPSS for disabilities? (107 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: SPSS for disabilities? (48 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: SPSS for disabilities? (134 lines)
       From: Lisa Stickney <Lts1@ptd.net>
     • Re: SPSS for disabilities? (78 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: SPSS for disabilities? (21 lines)
       From: Riley, Barth <barthr@uic.edu>
     • Re: SPSS for disabilities? (75 lines)
       From: Barnett, Adrian (HEALTH) <adrian.barnett@HEALTH.SA.GOV.AU>
     • Re: SPSS for disabilities? (39 lines)
       From: Jeff <stat3@jp.pair.com>

137. SPSS macro to compare continuous versus median split variable
     • SPSS macro to compare continuous versus median split variable (40 lines)
       From: Fabrice GABARROT <Fabrice.Gabarrot@PSE.UNIGE.CH>

138. SPSS question
     • SPSS question (37 lines)
       From: Lisa Stickney <Lts1@ptd.net>
     • Re: SPSS question (80 lines)
       From: Dan Zetu <dzetu@hotmail.com>
     • Re: SPSS question (119 lines)
       From: Adam Troy <abtroy@optonline.net>
     • Re: SPSS question (138 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: SPSS question (151 lines)
       From: Renji Abraham <RAbraham@aaalife.com>
     • Re: SPSS question (65 lines)
       From: Roberts, Michael <robertsm@ahca.myflorida.com>
     • Re: SPSS question (81 lines)
       From: Randy Herbison <RandyHerbison@westat.com>
     • Re: SPSS question (96 lines)
       From: Roberts, Michael <robertsm@ahca.myflorida.com>
     • Re: SPSS question (104 lines)
       From: Jason Burke <burke.jasonm@gmail.com>
     • Re: SPSS question (168 lines)
       From: Lisa Stickney <Lts1@ptd.net>

139. SPSS version and getting odbc data base
     • SPSS version and getting odbc data base (20 lines)
       From: Raffe, Sydelle, SSA <DRaffe@ACGOV.ORG>

140. SPSS vs. SAS for n = 1 at level 1 for mixed model
     • SPSS vs. SAS for n = 1 at level 1 for mixed model (22 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>

141. SPSS' 3d graphics
     • SPSS' 3d graphics (23 lines)
       From: Vincent Louis <louis.vincent@gmail.com>
     • Re: SPSS' 3d graphics (51 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: SPSS' 3d graphics (41 lines)
       From: Marta García-Granero <biostatistics@terra.es>

142. SPSSX-L Digest - 24 Aug 2006 to 25 Aug 2006 (#2006-235)
     • Re: SPSSX-L Digest - 24 Aug 2006 to 25 Aug 2006 (#2006-235) (1335 lines)
       From: Fahim H. Jafary <jafary@pobox.com>

143. Selecting by date
     • Re: Selecting by date (40 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Selecting by date (69 lines)
       From: Judith Saebel <Judith.Saebel@unisa.edu.au>
     • Re: Selecting by date (58 lines)
       From: Oliver, Richard <roliver@SPSS.COM>
     • Re: Selecting by date (28 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: Selecting by date (39 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Selecting by date (55 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: Selecting by date (56 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>

144. Selecting non-missing cases in string variables
     • Re: Selecting non-missing cases in string variables (19 lines)
       From: Sibusiso Moyo <smoyo@targetrx.com>
     • Re: Selecting non-missing cases in string variables (37 lines)
       From: Vivek Kurup <vkurup@opinionsearch.com>
     • Re: Selecting non-missing cases in string variables (38 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: Selecting non-missing cases in string variables (46 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Selecting non-missing cases in string variables (53 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Selecting non-missing cases in string variables (60 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: Selecting non-missing cases in string variables (60 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Selecting non-missing cases in string variables (44 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Selecting non-missing cases in string variables (36 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Selecting non-missing cases in string variables (86 lines)
       From: Sibusiso Moyo <smoyo@targetrx.com>
     • Re: Selecting non-missing cases in string variables (56 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Selecting non-missing cases in string variables (70 lines)
       From: Sibusiso Moyo <smoyo@targetrx.com>
     • Re: Selecting non-missing cases in string variables (208 lines)
       From: Richard Ristow <wrristow@mindspring.com>

145. Selectpred & Naive Bayes only available on SPSS Server - WHY ?
     • Selectpred & Naive Bayes only available on SPSS Server - WHY ? (14 lines)
       From: Mark Webb <targetlk@iafrica.com>

146. Simple Label Transfer Question
     • Simple Label Transfer Question (18 lines)
       From: Mark.W.Andrews <Mark.W.Andrews@orcmacro.com>
     • Re: Simple Label Transfer Question (37 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Simple Label Transfer Question (49 lines)
       From: Mark.W.Andrews <Mark.W.Andrews@orcmacro.com>
     • Re: Simple Label Transfer Question (65 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Simple Label Transfer Question (75 lines)
       From: Adam B. Troy <Atroy@MIAMI.EDU>
     • Re: Simple Label Transfer Question (86 lines)
       From: Mark.W.Andrews <Mark.W.Andrews@orcmacro.com>

147. Smart Viewer
     • Smart Viewer (22 lines)
       From: Rohan Lulham <Rohan@STUDENT.USYD.EDU.AU>
     • Re: Smart Viewer (43 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Smart Viewer (65 lines)
       From: Rohan Lulham <rlul2096@mail.usyd.edu.au>

148. Spearman rho and Cohen's d
     • Spearman rho and Cohen's d (13 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: Spearman rho and Cohen's d (40 lines)
       From: Marta García-Granero <biostatistics@terra.es>

149. Splitting a macro variable
     • Re: Splitting a macro variable (68 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>

150. Statistical Analysis Plan
     • Statistical Analysis Plan (23 lines)
       From: Jesse Jahrig <Jesse.Jahrig@aadac.gov.ab.ca>
     • Re: Statistical Analysis Plan (40 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

151. Statistical Question
     • Statistical Question (18 lines)
       From: Brandon Long <bralon@ocsys.com>
     • Re: Statistical Question (47 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: Statistical Question (60 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Statistical Question (43 lines)
       From: Jason McNellis <askmcnellis@HOTMAIL.COM>

152. Statistical testing question from a novice
     • Statistical testing question from a novice (32 lines)
       From: Robert Morgan <morganr@KNEWS.COM>
     • Re: Statistical testing question from a novice (71 lines)
       From: Marta García-Granero <biostatistics@terra.es>

153. Subtotals in ctables
     • Subtotals in ctables (135 lines)
       From: Michael Pearmain <Michael.Pearmain@tangozebra.com>

154. Syntax to Clean Data - Needs Help
     • Syntax to Clean Data - Needs Help (52 lines)
       From: Fahim H. Jafary <jafary@pobox.com>
     • Re: Syntax to Clean Data - Needs Help (57 lines)
       From: Gene Maguin <emaguin@buffalo.edu>

155. Syntax to search cases?
     • Syntax to search cases? (47 lines)
       From: Lise Valentine <lvalentine@civicfed.org>
     • Re: Syntax to search cases? (74 lines)
       From: Lise Valentine <lvalentine@civicfed.org>
     • Re: Syntax to search cases? (93 lines)
       From: Vivek Kurup <vkurup@opinionsearch.com>
     • Re: Syntax to search cases? (35 lines)
       From: Gene Maguin <emaguin@buffalo.edu>
     • Re: Syntax to search cases? (48 lines)
       From: Lise Valentine <lvalentine@civicfed.org>
     • Re: Syntax to search cases? (37 lines)
       From: Woodward, Charlotte <woodward@ES.MARYWOOD.EDU>

156. Syntax too quick for SPSS
     • Syntax too quick for SPSS (44 lines)
       From: Alex Rasker <aprasker@HOTMAIL.COM>
     • Re: Syntax too quick for SPSS (42 lines)
       From: Richard Ristow <wrristow@mindspring.com>

157. System Missing Syntax
     • System Missing Syntax (15 lines)
       From: Jim Moffitt <james.moffitt@thomson.com>
     • Re: System Missing Syntax (38 lines)
       From: Vivek Kurup <vkurup@opinionsearch.com>
     • Re: System Missing Syntax (36 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: System Missing Syntax (69 lines)
       From: Jim Moffitt <james.moffitt@thomson.com>
     • Re: System Missing Syntax (83 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: System Missing Syntax (93 lines)
       From: Jim Moffitt <james.moffitt@thomson.com>

158. Text fields
     • Text fields (38 lines)
       From: Bob Schacht <schacht@hawaii.edu>
     • Re: Text fields (94 lines)
       From: Richard Ristow <wrristow@mindspring.com>

159. Thanks to Gene for Help - Solved my problem
     • Thanks to Gene for Help - Solved my problem (21 lines)
       From: [Ela Bonbevan] <bonbevan@AOL.COM>

160. Timestamp Conversion
     • Timestamp Conversion (17 lines)
       From: Juan Navarrete <mrjuan_us@yahoo.com>
     • Re: Timestamp Conversion (29 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Timestamp Conversion (57 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: Timestamp Conversion (68 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: Timestamp Conversion (35 lines)
       From: Nana Nadine <ngbnana@yahoo.com>

161. Turf Analysis Question
     • Turf Analysis Question (78 lines)
       From: Eddy Crane <crane@woh.rr.com>

162. Using Syntax to create a data cut-off point
     • Using Syntax to create a data cut-off point (22 lines)
       From: [Ela Bonbevan] <bonbevan@AOL.COM>
     • Re: Using Syntax to create a data cut-off point (25 lines)
       From: Gene Maguin <emaguin@buffalo.edu>

163. Using Var Names to Conditionally Build String Values Case By Case...
     • Using Var Names to Conditionally Build String Values Case By Case... (135 lines)
       From: Hal 9000 <9000.hal@gmail.com>
     • Re: Using Var Names to Conditionally Build String Values Case By Case... (131 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Using Var Names to Conditionally Build String Values Case By Case... (50 lines)
       From: Hal 9000 <9000.hal@gmail.com>

164. Using macros with scatter plots
     • Using macros with scatter plots (26 lines)
       From: Kevin Bladon <kevin.bladon@SILVACOM.COM>
     • Re: Using macros with scatter plots (51 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Using macros with scatter plots (92 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Using macros with scatter plots (114 lines)
       From: Kevin Bladon <kevin.bladon@silvacom.com>

165. Visibility of Python Variables
     • Visibility of Python Variables (84 lines)
       From: Georg Maubach <Georg.Maubach@dpwnbc.net>
     • Re: Visibility of Python Variables (112 lines)
       From: Peck, Jon <peck@spss.com>

166. Weighted vs. unweight linear trend analysis (unequal n's)
     • Weighted vs. unweight linear trend analysis (unequal n's) (15 lines)
       From: Martin Sherman <MSherman@loyola.edu>

167. Weighting and Nonparametric Tests
     • Weighting and Nonparametric Tests (41 lines)
       From: Andreas Schneider <Andreas.H.Schneider@ifes.uni-erlangen.de>
     • Re: Weighting and Nonparametric Tests (49 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: Weighting and Nonparametric Tests (72 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Weighting and Nonparametric Tests (107 lines)
       From: Andreas Schneider <Andreas.H.Schneider@ifes.uni-erlangen.de>
     • Re: Weighting and Nonparametric Tests (35 lines)
       From: Jeff <stat3@jp.pair.com>
     • Re: Weighting and Nonparametric Tests (49 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Weighting and Nonparametric Tests (130 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

168. What I have done log
     • What I have done log (17 lines)
       From: Ole Rohwer <ole.rohwer@freenet.de>
     • Re: What I have done log (47 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: What I have done log (52 lines)
       From: Fabrice GABARROT <Fabrice.Gabarrot@PSE.UNIGE.CH>
     • Re: What I have done log (13 lines)
       From: Ole Rohwer <ole.rohwer@freenet.de>

169. XSD Schema for XML to SAV for DATA
     • XSD Schema for XML to SAV for DATA (14 lines)
       From: Alex Rasker <aprasker@HOTMAIL.COM>

170. [Differences in variable values]
     • Re: [Differences in variable values] (36 lines)
       From: Richard Ristow <wrristow@mindspring.com>

171. adjusting for the Covariate
     • adjusting for the Covariate (69 lines)
       From: Dogan, Enis <edogan@air.org>

172. bar charts
     • bar charts (24 lines)
       From: C Kirkman <kirkmanc@SEIU.ORG>
     • Re: bar charts (85 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: bar charts (20 lines)
       From: C Kirkman <kirkmanc@SEIU.ORG>

173. calculating bic and aic
     • calculating bic and aic (44 lines)
       From: teemu <tkanstren@GMAIL.COM>

174. choosing a covariance structure in Linear Mixed Models (repeated measures)
     • choosing a covariance structure in Linear Mixed Models (repeated measures) (53 lines)
       From: Paul Mcgeoghan <mcgeoghan@Cardiff.ac.uk>

175. cluster analysis
     • cluster analysis (16 lines)
       From: Ole Rohwer <ole.rohwer@freenet.de>
     • Re: cluster analysis (54 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

176. comparing correlations
     • comparing correlations (31 lines)
       From: Scott C. Roesch <scroesch@sciences.sdsu.edu>
     • Re: comparing correlations (66 lines)
       From: Statisticsdoc <statisticsdoc@cox.net>
     • Re: comparing correlations (125 lines)
       From: Marta García-Granero <biostatistics@terra.es>

177. convert numeric to string w leading zeros
     • convert numeric to string w leading zeros (21 lines)
       From: David Wright <coxspss@cox.net>
     • Re: convert numeric to string w leading zeros (35 lines)
       From: Simon Freidin <simonpf@unimelb.edu.au>

178. cox regression (where observations are not independent)
     • cox regression (where observations are not independent) (59 lines)
       From: Paul Mcgeoghan <mcgeoghan@Cardiff.ac.uk>
     • Re: cox regression (where observations are not independent) (75 lines)
       From: Marta García-Granero <biostatistics@terra.es>

179. crosstabs in matrix
     • crosstabs in matrix (44 lines)
       From: Pieter van Groenestijn <P.vanGroenestijn@MAW.RU.NL>
     • Re: crosstabs in matrix (73 lines)
       From: Marta García-Granero <biostatistics@terra.es>

180. ctables putting statistics as rows
     • Re: ctables putting statistics as rows (102 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: ctables putting statistics as rows (118 lines)
       From: Art Kendall <Art@DrKendall.org>

181. date variable
     • date variable (20 lines)
       From: Arthur Kramer <akramer@NJCU.edu>
     • Re: date variable (52 lines)
       From: John S. Lemon <j.s.lemon@abdn.ac.uk>
     • Re: date variable (32 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • date variable (23 lines)
       From: Arthur Kramer <akramer@NJCU.edu>
     • Re: date variable (32 lines)
       From: Carlos Renato <renato.stat@gmail.com>
     • Re: date variable (57 lines)
       From: Carlos Renato <renato.stat@gmail.com>
     • Re: date variable (32 lines)
       From: Richard Ristow <wrristow@mindspring.com>

182. display blank frequencies
     • display blank frequencies (16 lines)
       From: Vivek Kurup <vkurup@opinionsearch.com>
     • Re: display blank frequencies (24 lines)
       From: Beadle, ViAnn <viann@spss.com>
     • Re: display blank frequencies (34 lines)
       From: Richard Ristow <wrristow@mindspring.com>

183. dummy variable coding
     • Re: dummy variable coding (27 lines)
       From: Yampolskaya, Svetlana <yampol@fmhi.usf.edu>
     • Re: dummy variable coding (55 lines)
       From: Dominic Lusinchi <dominic@farwestresearch.com>
     • Re: dummy variable coding (48 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: dummy variable coding (68 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

184. erreur d'envoi
     • erreur d'envoi (45 lines)
       From: iheb bougmiza <bougmizaiheb@yahoo.fr>

185. factor analyzing the Tetrachoric correlations
     • Re: factor analyzing the Tetrachoric correlations (60 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: factor analyzing the Tetrachoric correlations (76 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>
     • Re: factor analyzing the Tetrachoric correlations (107 lines)
       From: Anthony Babinec <tbabinec@sbcglobal.net>
     • Re: factor analyzing the Tetrachoric correlations (118 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

186. format a variable?
     • format a variable? (25 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: format a variable? (56 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: format a variable? (38 lines)
       From: Ken Chui <kenneth.chui@GMAIL.COM>
     • Re: format a variable? (25 lines)
       From: Richard Ristow <wrristow@mindspring.com>

187. grouping variables
     • grouping variables (37 lines)
       From: Nico Peruzzi <nperuzzi@gmail.com>
     • Re: grouping variables (49 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: grouping variables (65 lines)
       From: Nico Peruzzi <nperuzzi@gmail.com>
     • Re: grouping variables (133 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: grouping variables (145 lines)
       From: Nico Peruzzi <nperuzzi@gmail.com>
     • Re: grouping variables (209 lines)
       From: Edward Boadi <eboadi@abhct.com>
     • Re: grouping variables (213 lines)
       From: Nico Peruzzi <nperuzzi@gmail.com>

188. identifying cause of message "error involving DFB10_1"
     • identifying cause of message "error involving DFB10_1" (27 lines)
       From: Stuart Richardson <srichardson@USFCA.EDU>
     • Re: identifying cause of message "error involving DFB10_1" (74 lines)
       From: Simon Freidin <simonpf@unimelb.edu.au>
     • Re: identifying cause of message "error involving DFB10_1" (89 lines)
       From: Stuart Richardson <srichardson@USFCA.EDU>

189. interpretation of the warning message
     • Re: interpretation of the warning message (25 lines)
       From: Yampolskaya, Svetlana <yampol@fmhi.usf.edu>
     • Re: interpretation of the warning message (55 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: interpretation of the warning message (85 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: interpretation of the warning message (95 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: interpretation of the warning message (149 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: interpretation of the warning message (68 lines)
       From: Marta García-Granero <biostatistics@terra.es>

190. is it necessary to test autocorrelation for panel data in binary logistic regression?
     • is it necessary to test autocorrelation for panel data in binary logistic regression? (30 lines)
       From: derya <dkahrama@HOTMAIL.COM>
     • Re: is it necessary to test autocorrelation for panel data in binary logistic regression? (49 lines)
       From: Christian Ganser <christian.ganser@soziologie.uni-muenchen.de>
     • Re: is it necessary to test autocorrelation for panel data in binary logistic regression? (16 lines)
       From: derya <dkahrama@HOTMAIL.COM>

191. lock .sav file
     • lock .sav file (13 lines)
       From: Celso <celsoalejandro@cantv.net>
     • Re: lock .sav file (70 lines)
       From: Frederic Villamayor Forcada <fvillamayor-research@ferrergrupo.com>
     • Re: lock .sav file (28 lines)
       From: Antoon Smulders <a.smulders@beke.nl>

192. matrix calculation
     • Re: matrix calculation (98 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • matrix calculation (34 lines)
       From: Pieter van Groenestijn <P.vanGroenestijn@MAW.RU.NL>
     • Re: matrix calculation (37 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: matrix calculation (123 lines)
       From: Pieter van Groenestijn <P.vanGroenestijn@MAW.RU.NL>

193. mixed-effects model for longitudinal data interpretation
     • mixed-effects model for longitudinal data interpretation (179 lines)
       From: Anton Balabanov <Anton.Balabanov@FUP.UNN.RU>

194. multidimensional scaling with rank data
     • multidimensional scaling with rank data (60 lines)
       From: sr <squalm1@gmx.de>
     • Re: multidimensional scaling with rank data (91 lines)
       From: Busing, Frank <BUSING@FSW.LEIDENUNIV.NL>

195. multinomial log. reg
     • multinomial log. reg (31 lines)
       From: Scott C. Roesch <scroesch@sciences.sdsu.edu>
     • Re: multinomial log. reg (74 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>

196. new variables from factor analysis?
     • new variables from factor analysis? (25 lines)
       From: danl <danl@RDSLINK.RO>
     • Re: new variables from factor analysis? (91 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

197. outliers??
     • outliers?? (21 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: outliers?? (108 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: outliers?? (166 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: outliers?? (293 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: outliers?? (293 lines)
       From: Art Kendall <Art@drkendall.org>
     • Re: outliers?? (312 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: outliers?? (356 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: outliers?? (32 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: outliers?? (71 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: outliers?? (54 lines)
       From: Scott Terry <sterry@hyphos360.com>

198. problems with subscale scores
     • problems with subscale scores (26 lines)
       From: Dogan, Enis <edogan@air.org>

199. propensity scoring
     • propensity scoring (21 lines)
       From: Todd McDonald <tmac5528@yahoo.com>
     • Re: propensity scoring (38 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>
     • Re: propensity scoring (41 lines)
       From: Adam Troy <abtroy@optonline.net>

200. regression question
     • regression question (49 lines)
       From: Paul Mcgeoghan <mcgeoghan@Cardiff.ac.uk>

201. remove from list serve
     • remove from list serve (10 lines)
       From: Carolyn Halbert M.A., M.P.H. <Carolyn.Halbert@vdh.virginia.gov>
     • Re: remove from list serve (26 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

202. remove from list serve - Amplification
     • Re: remove from list serve - Amplification (25 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

203. removing page breaker in text output
     • removing page breaker in text output (21 lines)
       From: Jinkuk Hong <JHONG@Waisman.Wisc.Edu>
     • Re: removing page breaker in text output (31 lines)
       From: Marta García-Granero <biostatistics@terra.es>

204. running ANOVA on binary data?
     • running ANOVA on binary data? (37 lines)
       From: Robinson Aschoff <aschoff@ifi.unizh.ch>
     • Re: running ANOVA on binary data? (30 lines)
       From: Michael Kruger <aa3657@wayne.edu>
     • Re: running ANOVA on binary data? (60 lines)
       From: Dominic Lusinchi <dominic@farwestresearch.com>
     • Re: running ANOVA on binary data? (59 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: running ANOVA on binary data? (89 lines)
       From: Kevin Bladon <kevin.bladon@silvacom.com>
     • Re: running ANOVA on binary data? (51 lines)
       From: Ken Chui <kenneth.chui@GMAIL.COM>
     • Re: running ANOVA on binary data? (94 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: running ANOVA on binary data? (99 lines)
       From: Patricia Rego <p.rego@uq.edu.au>
     • Re: running ANOVA on binary data? (143 lines)
       From: Harley.Baker <Harley.Baker@csuci.edu>
     • Re: running ANOVA on binary data? (60 lines)
       From: Dominic Lusinchi <dominic@farwestresearch.com>
     • running ANOVA on binary data? (19 lines)
       From: Robinson Aschoff <aschoff@ifi.unizh.ch>

205. spss dummy variable regression--urgent
     • spss dummy variable regression--urgent (26 lines)
       From: Yusof ahmad <yusof.ahmad@EVALUESERVE.COM>
     • Re: spss dummy variable regression--urgent (62 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: spss dummy variable regression--urgent (46 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

206. the accuracy of the device
     • the accuracy of the device (19 lines)
       From: Omar Farook <omarfdawood@yahoo.com>
     • Re: the accuracy of the device (54 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: the accuracy of the device (66 lines)
       From: Omar Farook <omarfdawood@yahoo.com>
     • Re: the accuracy of the device (56 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: the accuracy of the device (48 lines)
       From: Marta García-Granero <biostatistics@terra.es>

207. un subscribe
     • Re: un subscribe (27 lines)
       From: Jeff Aquino <joems_jsa@hotmail.com>
     • Re: un subscribe (46 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

208. variables fro factor scores
     • variables fro factor scores (22 lines)
       From: danl <danl@RDSLINK.RO>
     • Re: variables fro factor scores (45 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: variables fro factor scores (75 lines)
       From: Statisticsdoc <statisticsdoc@cox.net>

209. variance explained
     • variance explained (30 lines)
       From: Rcarlstedt@aol.com
     • Re: variance explained (56 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

210. z test comparison between two correlations (one r negative and one r positive)
     • z test comparison between two correlations (one r negative and one r positive) (44 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: z test comparison between two correlations (one r negative and one r positive) (92 lines)
       From: Marta García-Granero <biostatistics@terra.es>