Table of contents:

• 99% CI for RISK (3 messages)
• AMOS question
• ANCOVA
• ANCOVA with varying covariate
• ANNOUNCE SPSS UK USERS MEETING 2004
• ANOVA problem (2 messages)
• AUTOREG and CUSUM (2 messages)
• AW: Re: labels
• Access databse!
• Accessing Access DataBases (2 messages)
• Anova question
• Archives Discussion (2 messages)
• Assessing SPSS skills? (2 messages)
• Assigning Value Labels as Names or Labels to new created Variable s after restructure
• Behavioural Data query (2 messages)
• Biases in SPSS 12.0 Missing Values Analysis (2 messages)
• Books and/or manuals on new SPSS graphics in SPSS-12
• Brennans Genaralizability paper
• Chi square syntax for frequency table (3 messages)
• Comparing Two data sets (3 messages)
• Converting lower case to upper case in variable and/or value labels (2 messages)
• Correlation output using OMS (3 messages)
• Counting Unique Occurrences Across Variables (5 messages)
• Ctables - descending order in groups (4 messages)
• DAMAGE CONTROL LETTER
• Data Imputation with NORM (3 messages)
• Data restructuring logic difficulty - any suggestions ? (3 messages)
• Data type change syntax (2 messages)
• Date extraction query (3 messages)
• Define Sets Using Syntax?
• Delete variable (5 messages)
• Detecting SPSS 12 (2 messages)
• Detecting SPSS 12 (add'l note)
• Different weightingmethods
• Discrete Choice (3 messages)
• Estimating percent difference
• FW: Inquiry. (2 messages)
• FW: Missing Variables in Answer Tree Nodes
• FW: Re: Floating a Continuous Variable in Answer Tree
• FW: Re: Runnnig Means Procedure in K-Means Cluster
• FW: SPSS SYNTAX - outputting into .csv (2 messages)
• FW: Stat. Testing for Multiple-Response Columns - Hybrid of I ndependent and Dependent Sample T-Tests - Overlap Formula in Quantum (2 messages)
• FW: Stat. Testing for Multiple-Response Columns - Hybrid of Indep endent and Dependent Sample T-Tests - Overlap Formula in Quantum (2 messages)
• FW: spss-documentation
• Filename with date (3 messages)
• Filename with datevalue (4 messages)
• Floating a Continuous Variable in Answer Tree (2 messages)
• GLM repeated measures contrasts
• Gamma Coefficient using OMS (2 messages)
• Get file then specify decimal places (2 messages)
• Getting first 3 numbers of a numeric variable (5 messages)
• Graphing Semantic Differential Means
• Group by Variable Codes (5 messages)
• Hiding titles in output (2 messages)
• Highest 3 numbers in a list... (4 messages)
• How to convert dates to julian weeks (2 messages)
• Huber-White sandwich estimator of the variance (3 messages)
• INCLUDing multiple files to read a dataset (2 messages)
• INVERSE function
• Identifying data combinations (3 messages)
• Inquiry.
• Inter-rater Reliability Problem (2 messages)
• Inverse (2 messages)
• Invoking DOS from SPSS (2 messages)
• LOOP - END LOOP help (i think) (2 messages)
• Labeling Points in a scatterplot (6 messages)
• Logistic regression bootstrapping
• Looking for a conference -- (2 messages)
• Looking for a statistics list - biostatistics (2 messages)
• MATRIX syntax
• Matching Files with Transactional and customer data (3 messages)
• Matching Subjects In A Group; Why is it useful?
• Matrix commands (4 messages)
• Missing Value Code? (2 messages)
• Missing Variables in Answer Tree Nodes
• MultiVariable Count/Classify (3 messages)
• Multiple response table.
• Multiple response to single variable (2 messages)
• ONE solution: large files with SPSS: how does spss handle data (6 messages)
• Only 30 responses for T-test? (7 messages)
• Optimal PC for large data sets
• Oracle database (3 messages)
• Ordered categories test (3 messages)
• PREFMAP vs. ALSCAL / INDSCAL
• Preserving Colour styles in 12
• Printing Output (3 messages)
• Problem in survival analysis (4 messages)
• Problems with intra-class correlation (7 messages)
• Production Facility (2 messages)
• Programming Standards
• Putting Multiple response variables in a table
• R: Ordered categories test (2 messages)
• R: k-means intial centers?
• RES: Oracle database
• Randomizing to two treatmernts using SPSS (6 messages)
• Re Book Inquiry.
• Reducing the width of a string variable
• References on post-hoc power analysis (reply to several requests) (2 messages)
• Regression analysis and decay values
• Repeated measures experiment
• Replicating cluster sizes in tracking surveys (6 messages)
• Restructuring data (3 messages)
• Retaining case sensitivity during import
• Reversal equation from z to r (2 messages)
• Running SPSS through DOS batch files
• Runnnig Means Procedure in K-Means Cluster (8 messages)
• SIGNOFF SPSSX-L
• SPSS Register Limitation (2 messages)
• SPSS SYNTAX - outputting into .csv (2 messages)
• SPSS Scripting
• SPSS Tutorials
• SPSS complex samples
• SPSS syntax elegances (3 messages)
• SPSS syntax elegances : Great wisdom for beginners
• SPSS to XML (9 messages)
• SPSS v12 compared with earlier versions
• Sample Size question (2 messages)
• Saving a file twice (2 messages)
• Select Cases (3 messages)
• Setup question - spssgctl.ocx
• Splitting in the number of files as there are number of value s in varible x
• Splitting in the number of files as there are number of values in varible x (2 messages)
• Splitting stings (2 messages)
• Splitting strings
• Spss 12 Layered Pivot to Separate Worksheets (2 messages)
• Stat. Testing for Multiple-Response Columns - Hybrid of Independe nt and Dependent Sample T-Tests
• Still confused on what the CACHE command actually does and how it works. (2 messages)
• Suggestion: Document BREAK with LOOP (3 messages)
• Survey Says! (2 messages)
• Survival analysis
• Syntax Help (3 messages)
• Syntax question (2 messages)
• Template not preserving colors in SPSS 12.0
• Testing Logistic Regression Assumptions
• Trend Line.
• Yves Therriault/RR/Reg09/SSSS/Gouv.Qc est absent(e).
• Z scores, normal distribution and curves (2 messages)
• [spam] [spam] Re: unsubscribe
• article on MVA (5 messages)
• bar chart in SPSS (2 messages)
• change value labels to variable value (3 messages)
• changing variable type using syntax
• changing variable type using syntax --- for a large number of variables
• choosing records (2 messages)
• collect cases (2 messages)
• compute series within case (3 messages)
• confidence intervals for geometric means or percentiles?
• consecutive vars using GET DATA (4 messages)
• contribution plots in pca
• copyright (3 messages)
• covariates with repeated measures ANOVA (3 messages)
• creating new tables (2 messages)
• data>template>value labels>how to clear?
• dataset dilemma (2 messages)
• decimals disappearing (3 messages)
• define vector according to the number of a variable list (3 messages)
• define vector according to the number of a variable list [C an one define a string with a length given by a variable?] (2 messages)
• demonstrating intervention effectiveness (2 messages)
• dissertation review
• freq. within customer records (3 messages)
• generating data (2 messages)
• help with macros (4 messages)
• histograms for large datasets (2 messages)
• implications of unequal sample sizes (3 messages)
• installing SPSS
• just subscribed/ question (3 messages)
• keep values (2 messages)
• keeping common values (2 messages)
• labels (3 messages)
• lag (2 messages)
• large files with SPSS: how does spss handle data (8 messages)
• log transformation and repeated measures (3 messages)
• long string variables only partially visible (3 messages)
• long string variables only partialy visible
• matrix missing data and exhausted workspace
• p-values and correlation in SPSS (2 messages)
• pattern matching of romance items (5 messages)
• please unsribe me (2 messages)
• posthoc power analysis? (2 messages)
• psychiatric diagnosis from DSM codes
• referred to you by Dr Mike Speed (2 messages)
• sample size (2 messages)
• seeking an efficient way to calculate confidence intervals for multiple variables - syntax/macro options included
• selecting cases (4 messages)
• simple question (3 messages)
• singoff SPSSX-L
• spss 12.0 vs spss 6.0 (4 messages)
• spss-documentation (2 messages)
• standardization (2 messages)
• standardized regression weights in GLM
• statistics books (4 messages)
• stats consult (2 messages)
• string manipulation (4 messages)
• syntax to change numeric to character (5 messages)
• syntax to compute a common standard deviation - is there a pr oblem with the syntax I have been using
• syntax to compute a common standard deviation - is there a problem with the syntax I have been using
• test for normality of residuals (3 messages)
• ubsubscribe
• unsubscribe (3 messages)
• unsubscribe the listserv
• using syntax to insert a case (4 messages)
• using syntax to truncate a string (2 messages)
• weighted kappas (2 messages)
• why do sequential macro calls take more time?
• write-up on ICC (2 messages)

1. 99% CI for RISK
   • Re: 99% CI for RISK (24 lines)
     From: Levent Dumenci <ldumenci@UVM.EDU>
   • Re: 99% CI for RISK (50 lines)
     From: Marta García-Granero <biostatistics@terra.es>
   • Re: 99% CI for RISK (79 lines)
     From: Marta García-Granero <biostatistics@terra.es>

2. AMOS question
   • Re: AMOS question (65 lines)
     From: Joachim Kruse <j.k@LMU.DE>

3. ANCOVA
   • ANCOVA (19 lines)
     From: Anneke Gr <nuutindurbs@yahoo.com>

4. ANCOVA with varying covariate
   • ANCOVA with varying covariate (28 lines)
     From: Maria Parmley <parmley@BRANDEIS.EDU>

5. ANNOUNCE SPSS UK USERS MEETING 2004
   • ANNOUNCE SPSS UK USERS MEETING 2004 (127 lines)
     From: Peter Watson <peter.watson@mrc-cbu.cam.ac.uk>

6. ANOVA problem
   • ANOVA problem (15 lines)
     From: Safa Gurcan <I.Safa.Gurcan@VETERINARY.ANKARA.EDU.TR>
   • Re: ANOVA problem (28 lines)
     From: Spousta Jan <JSpousta@CSAS.CZ>

7. AUTOREG and CUSUM
   • AUTOREG and CUSUM (17 lines)
     From: Sivakumaran Raman <sivakumaran.raman@childrenshc.org>
   • Re: AUTOREG and CUSUM (33 lines)
     From: Gregory Hildebrandt <greg.hildebrandt@sbcglobal.net>

8. AW: Re: labels
   • AW: Re: labels (48 lines)
     From: MOSER Winfried <winfried.moser@statistik.gv.at>

9. Access databse!
   • Access databse! (31 lines)
     From: Shimy Apoorva <sxa6137@BJC.ORG>

10. Accessing Access DataBases
    • Accessing Access DataBases (27 lines)
      From: Tanenbaum, Eric J <tanenb@essex.ac.uk>
    • Re: Accessing Access DataBases (44 lines)
      From: Parry, James <jparry@spss.com>

11. Anova question
    • Anova question (46 lines)
      From: Paul Mcgeoghan <Mcgeoghan@Cardiff.ac.uk>

12. Archives Discussion
    • Archives Discussion (18 lines)
      From: Elsa-Sofia Morote <sofiamorote@hotmail.com>
    • Re: Archives Discussion (29 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>

13. Assessing SPSS skills?
    • Assessing SPSS skills? (118 lines)
      From: Manny Straehle <MStraehle@NBME.org>
    • Re: Assessing SPSS skills? (150 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

14. Assigning Value Labels as Names or Labels to new created Variable s after restructure
    • Assigning Value Labels as Names or Labels to new created Variable s after restructure (33 lines)
      From: Paparodopoulos, Nikos <NPaparodopoulos@ing.gr>

15. Behavioural Data query
    • Behavioural Data query (34 lines)
      From: Mark Webb <targetlk@iafrica.com>
    • Re: Behavioural Data query (87 lines)
      From: Philip_Moore@CARMAX.COM

16. Biases in SPSS 12.0 Missing Values Analysis
    • Biases in SPSS 12.0 Missing Values Analysis (42 lines)
      From: Jim Creech <JCreech@vcsc.state.va.us>
    • Re: Biases in SPSS 12.0 Missing Values Analysis (56 lines)
      From: Dale Glaser <glaserconsult@sbcglobal.net>

17. Books and/or manuals on new SPSS graphics in SPSS-12
    • Books and/or manuals on new SPSS graphics in SPSS-12 (23 lines)
      From: Staffan Lindberg <Staffan.Lindberg@fhi.se>

18. Brennans Genaralizability paper
    • Brennans Genaralizability paper (87 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>

19. Chi square syntax for frequency table
    • Chi square syntax for frequency table (30 lines)
      From: Debbie Hahs-Vaughn <dhahs@mail.ucf.edu>
    • Re: Chi square syntax for frequency table (74 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Chi square syntax for frequency table (44 lines)
      From: Anthony Babinec <tbabinec@ameritech.net>

20. Comparing Two data sets
    • Comparing Two data sets (13 lines)
      From: William Bailey <wbailey@uark.edu>
    • Re: Comparing Two data sets (58 lines)
      From: Hetter, Rebecca D,,DMDCWEST <HETTERRD@osd.pentagon.mil>
    • Re: Comparing Two data sets (24 lines)
      From: Peck, Jon <peck@spss.com>

21. Converting lower case to upper case in variable and/or value labels
    • Converting lower case to upper case in variable and/or value labels (21 lines)
      From: Staffan Lindberg <Staffan.Lindberg@fhi.se>
    • Re: Converting lower case to upper case in variable and/or value labels (42 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

22. Correlation output using OMS
    • Correlation output using OMS (30 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>
    • Re: Correlation output using OMS (69 lines)
      From: Spousta Jan <JSpousta@csas.cz>
    • Re: Correlation output using OMS (101 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>

23. Counting Unique Occurrences Across Variables
    • Counting Unique Occurrences Across Variables (31 lines)
      From: Mark Webb <targetlk@iafrica.com>
    • Re: Counting Unique Occurrences Across Variables (78 lines)
      From: Spousta Jan <JSpousta@csas.cz>
    • Re: Counting Unique Occurrences Across Variables (54 lines)
      From: Henrik Lolle <lolle@socsci.auc.dk>
    • Re: Counting Unique Occurrences Across Variables (92 lines)
      From: Smith, Anne <SmithAnne@dnb.com>
    • Re: Counting Unique Occurrences Across Variables (73 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

24. Ctables - descending order in groups
    • Ctables - descending order in groups (41 lines)
      From: Adam Olszówka <adamolszowka@hotmail.com>
    • Re: Ctables - descending order in groups (61 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Ctables - descending order in groups (83 lines)
      From: Adam Olszówka <adamolszowka@hotmail.com>
    • Re: Ctables - descending order in groups (105 lines)
      From: Peck, Jon <peck@spss.com>

25. DAMAGE CONTROL LETTER
    • DAMAGE CONTROL LETTER (357 lines)
      From: Alejandro Gomez <gustavo-gomez@mixmail.com>

26. Data Imputation with NORM
    • Data Imputation with NORM (22 lines)
      From: Jeff and Carol Armitage <jcarmitage@cox.net>
    • Re: Data Imputation with NORM (34 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
    • Re: Data Imputation with NORM (31 lines)
      From: Jeff <stat@jp.pair.com>

27. Data restructuring logic difficulty - any suggestions ?
    • Data restructuring logic difficulty - any suggestions ? (50 lines)
      From: Mark Webb <targetlk@iafrica.com>
    • Re: Data restructuring logic difficulty - any suggestions ? (95 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Data restructuring logic difficulty - any suggestions ? (143 lines)
      From: Richard Ristow <wrristow@mindspring.com>

28. Data type change syntax
    • Data type change syntax (22 lines)
      From: Jun Wan <Jun.Wan@orcmacro.com>
    • Re: Data type change syntax (63 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>

29. Date extraction query
    • Date extraction query (51 lines)
      From: Dr C Stride <C.B.Stride@sheffield.ac.uk>
    • Re: Date extraction query (66 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Date extraction query (69 lines)
      From: Spousta Jan <JSpousta@csas.cz>

30. Define Sets Using Syntax?
    • Define Sets Using Syntax? (9 lines)
      From: Ryals Joseph <Joseph.Ryals@irs.gov>

31. Delete variable
    • Delete variable (15 lines)
      From: Jakob Fiellau <fiellau@wilke.dk>
    • Re: Delete variable (30 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Delete variable (48 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Delete variable (31 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Delete variable (40 lines)
      From: Peck, Jon <peck@spss.com>

32. Detecting SPSS 12
    • Detecting SPSS 12 (49 lines)
      From: David Jacobowitz <David.Jacobowitz@uvm.edu>
    • Re: Detecting SPSS 12 (84 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

33. Detecting SPSS 12 (add'l note)
    • Re: Detecting SPSS 12 (add'l note) (130 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

34. Different weightingmethods
    • Different weightingmethods (20 lines)
      From: Paul Hover <pfhover2@yahoo.com>

35. Discrete Choice
    • Discrete Choice (22 lines)
      From: Bob Walker <bob.walker@SURVEYS-FORECASTS.COM>
    • Re: Discrete Choice (50 lines)
      From: Anthony Babinec <tbabinec@ameritech.net>
    • Re: Discrete Choice (46 lines)
      From: Frank Milthorpe <Frank.Milthorpe@dipnr.nsw.gov.au>

36. Estimating percent difference
    • Estimating percent difference (30 lines)
      From: Primoz Dolzan <primoz.dolzan@aragon.si>

37. FW: Inquiry.
    • FW: Inquiry. (63 lines)
      From: Thompson, Carol <CThompson@anteon.com>
    • Re: FW: Inquiry. (75 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>

38. FW: Missing Variables in Answer Tree Nodes
    • FW: Missing Variables in Answer Tree Nodes (76 lines)
      From: Thompson, Carol <CThompson@anteon.com>

39. FW: Re: Floating a Continuous Variable in Answer Tree
    • FW: Re: Floating a Continuous Variable in Answer Tree (110 lines)
      From: Thompson, Carol <CThompson@anteon.com>

40. FW: Re: Runnnig Means Procedure in K-Means Cluster
    • FW: Re: Runnnig Means Procedure in K-Means Cluster (225 lines)
      From: Thompson, Carol <CThompson@anteon.com>

41. FW: SPSS SYNTAX - outputting into .csv
    • FW: SPSS SYNTAX - outputting into .csv (24 lines)
      From: Lisa White <Lisa.WHITE@dfes.gsi.gov.uk>
    • FW: SPSS SYNTAX - outputting into .csv (24 lines)
      From: Lisa White <Lisa.WHITE@dfes.gsi.gov.uk>

42. FW: Stat. Testing for Multiple-Response Columns - Hybrid of I ndependent and Dependent Sample T-Tests - Overlap Formula in Quantum
    • Re: FW: Stat. Testing for Multiple-Response Columns - Hybrid of I ndependent and Dependent Sample T-Tests - Overlap Formula in Quantum (157 lines)
      From: Feinstein, Zachary <ZFeinstein@HarrisInteractive.com>
    • Re: FW: Stat. Testing for Multiple-Response Columns - Hybrid of I ndependent and Dependent Sample T-Tests - Overlap Formula in Quantum (209 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>

43. FW: Stat. Testing for Multiple-Response Columns - Hybrid of Indep endent and Dependent Sample T-Tests - Overlap Formula in Quantum
    • FW: Stat. Testing for Multiple-Response Columns - Hybrid of Indep endent and Dependent Sample T-Tests - Overlap Formula in Quantum (58 lines)
      From: Feinstein, Zachary <ZFeinstein@HarrisInteractive.com>
    • Re: FW: Stat. Testing for Multiple-Response Columns - Hybrid of Indep endent and Dependent Sample T-Tests - Overlap Formula in Quantum (90 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>

44. FW: spss-documentation
    • FW: spss-documentation (44 lines)
      From: Thompson, Carol <CThompson@anteon.com>

45. Filename with date
    • Filename with date (23 lines)
      From: studentSPSS <listspss@rivolinet.it>
    • Re: Filename with date (62 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Filename with date (69 lines)
      From: studentSPSS <listspss@rivolinet.it>

46. Filename with datevalue
    • Filename with datevalue (27 lines)
      From: Kraan, Egon <ekraan@BeechAcres.org>
    • Re: Filename with datevalue (73 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Filename with datevalue (101 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Filename with datevalue (38 lines)
      From: Peck, Jon <peck@spss.com>

47. Floating a Continuous Variable in Answer Tree
    • Floating a Continuous Variable in Answer Tree (18 lines)
      From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>
    • Re: Floating a Continuous Variable in Answer Tree (75 lines)
      From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>

48. GLM repeated measures contrasts
    • GLM repeated measures contrasts (31 lines)
      From: emaguin@acsu.buffalo.edu

49. Gamma Coefficient using OMS
    • Gamma Coefficient using OMS (33 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>
    • Re: Gamma Coefficient using OMS (79 lines)
      From: Oliver, Richard <richard@spss.com>

50. Get file then specify decimal places
    • Get file then specify decimal places (22 lines)
      From: Ryan Mulligan <RMulligan@regionsix.com>
    • Re: Get file then specify decimal places (53 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

51. Getting first 3 numbers of a numeric variable
    • Getting first 3 numbers of a numeric variable (21 lines)
      From: Abraham, Renji V. <RVAbraham@aaamichigan.com>
    • Re: Getting first 3 numbers of a numeric variable (60 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Getting first 3 numbers of a numeric variable (38 lines)
      From: Jose Benuzillo <Jose.Benuzillo@nurs.utah.edu>
    • Re: Getting first 3 numbers of a numeric variable (52 lines)
      From: Abraham, Renji V. <RVAbraham@aaamichigan.com>
    • Re: Getting first 3 numbers of a numeric variable (72 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>

52. Graphing Semantic Differential Means
    • Re: Graphing Semantic Differential Means (52 lines)
      From: Pieter van Groenestijn <P.vanGroenestijn@maw.kun.nl>

53. Group by Variable Codes
    • Group by Variable Codes (29 lines)
      From: Brian Moore <bmoore@worldatwork.org>
    • Re: Group by Variable Codes (43 lines)
      From: Simon Freidin <s.freidin@IAESR.UNIMELB.EDU.AU>
    • Re: Group by Variable Codes (64 lines)
      From: William Dudley <william.dudley@nurs.utah.edu>
    • Re: Group by Variable Codes (54 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Group by Variable Codes (53 lines)
      From: Brian Moore <bmoore@worldatwork.org>

54. Hiding titles in output
    • Hiding titles in output (22 lines)
      From: Kraan, Egon <ekraan@BeechAcres.org>
    • Re: Hiding titles in output (53 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>

55. Highest 3 numbers in a list...
    • Highest 3 numbers in a list... (16 lines)
      From: Richard J. Reeves <rr223@cornell.edu>
    • Re: Highest 3 numbers in a list... (37 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Highest 3 numbers in a list... (31 lines)
      From: Valentim Rodrigues Alferes <alferes@CI.UC.PT>
    • Re: Highest 3 numbers in a list... (67 lines)
      From: Spousta Jan <JSpousta@csas.cz>

56. How to convert dates to julian weeks
    • How to convert dates to julian weeks (34 lines)
      From: Skip Payne <spayne@gw.odh.state.oh.us>
    • Re: How to convert dates to julian weeks (43 lines)
      From: Kraan, Egon <ekraan@BeechAcres.org>

57. Huber-White sandwich estimator of the variance
    • Huber-White sandwich estimator of the variance (13 lines)
      From: Tran, Mary <tranm@anesthesia.ucsf.edu>
    • Re: Huber-White sandwich estimator of the variance (108 lines)
      From: John Hendrickx <john_hendrickx@yahoo.com>
    • Re: Huber-White sandwich estimator of the variance (35 lines)
      From: Henrik Lolle <lolle@socsci.auc.dk>

58. INCLUDing multiple files to read a dataset
    • INCLUDing multiple files to read a dataset (31 lines)
      From: Francois Brisebois <Francois.Brisebois@statcan.ca>
    • Re: INCLUDing multiple files to read a dataset (57 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

59. INVERSE function
    • INVERSE function (66 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>

60. Identifying data combinations
    • Re: Identifying data combinations (16 lines)
      From: Valentim Rodrigues Alferes <alferes@CI.UC.PT>
    • Re: Identifying data combinations (67 lines)
      From: Frank Milthorpe <Frank.Milthorpe@dipnr.nsw.gov.au>
    • Re: Identifying data combinations (53 lines)
      From: Doug Fuller <dfuller@WAYNE.EDU>

61. Inquiry.
    • Inquiry. (27 lines)
      From: Boris Ratchev <bratchev@yahoo.com>

62. Inter-rater Reliability Problem
    • Inter-rater Reliability Problem (38 lines)
      From: Stephen Salbod <ssalbod@pace.edu>
    • Re: Inter-rater Reliability Problem (61 lines)
      From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>

63. Inverse
    • Inverse (39 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>
    • Re: Inverse (54 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>

64. Invoking DOS from SPSS
    • Invoking DOS from SPSS (29 lines)
      From: William Dudley <william.dudley@nurs.utah.edu>
    • Re: Invoking DOS from SPSS (52 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

65. LOOP - END LOOP help (i think)
    • LOOP - END LOOP help (i think) (26 lines)
      From: alex lantsberg <wideye@earthlink.net>
    • Re: LOOP - END LOOP help (i think) (50 lines)
      From: Richard Ristow <wrristow@mindspring.com>

66. Labeling Points in a scatterplot
    • Labeling Points in a scatterplot (21 lines)
      From: Brian Moore <bmoore@worldatwork.org>
    • Re: Labeling Points in a scatterplot (43 lines)
      From: Raymond V. Liedka <liedka@unm.edu>
    • Re: Labeling Points in a scatterplot (48 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Labeling Points in a scatterplot (43 lines)
      From: Valentim Rodrigues Alferes <alferes@CI.UC.PT>
    • Re: Labeling Points in a scatterplot (40 lines)
      From: Raymond V. Liedka <liedka@unm.edu>
    • Re: Labeling Points in a scatterplot (60 lines)
      From: Brian Moore <bmoore@worldatwork.org>

67. Logistic regression bootstrapping
    • Logistic regression bootstrapping (41 lines)
      From: Tony Baglioni <tbaglioni@epsilongroup.com>

68. Looking for a conference --
    • Looking for a conference -- (17 lines)
      From: Simon Freidin <simonpf@unimelb.edu.au>
    • Re: Looking for a conference -- (58 lines)
      From: Anthony Babinec <tbabinec@ameritech.net>

69. Looking for a statistics list - biostatistics
    • Looking for a statistics list - biostatistics (20 lines)
      From: Anneke Gr <nuutindurbs@yahoo.com>
    • Re: Looking for a statistics list - biostatistics (43 lines)
      From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>

70. MATRIX syntax
    • MATRIX syntax (53 lines)
      From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>

71. Matching Files with Transactional and customer data
    • Matching Files with Transactional and customer data (55 lines)
      From: Brian Moore <bmoore@worldatwork.org>
    • Re: Matching Files with Transactional and customer data (96 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Matching Files with Transactional and customer data (75 lines)
      From: David Hutton <David.Hutton@cem.dur.ac.uk>

72. Matching Subjects In A Group; Why is it useful?
    • Matching Subjects In A Group; Why is it useful? (17 lines)
      From: Larson Daley <LarsonDaley@dns123.securecoffee.com>

73. Matrix commands
    • Matrix commands (28 lines)
      From: Gregory Domjan <g.domjan@abs.gov.au>
    • Re: Matrix commands (54 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>
    • Re: Matrix commands (216 lines)
      From: Gregory Domjan <g.domjan@abs.gov.au>
    • Re: Matrix commands (286 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

74. Missing Value Code?
    • Missing Value Code? (30 lines)
      From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>
    • Re: Missing Value Code? (86 lines)
      From: Jose G. Benuzillo <jose.benuzillo@hci.utah.edu>

75. Missing Variables in Answer Tree Nodes
    • Missing Variables in Answer Tree Nodes (30 lines)
      From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>

76. MultiVariable Count/Classify
    • MultiVariable Count/Classify (29 lines)
      From: Brian Moore <bmoore@worldatwork.org>
    • Re: MultiVariable Count/Classify (49 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: MultiVariable Count/Classify (63 lines)
      From: Brian Moore <bmoore@worldatwork.org>

77. Multiple response table.
    • Multiple response table. (45 lines)
      From: David Lindsay <spss2002_2@sdresearch.com>

78. Multiple response to single variable
    • Multiple response to single variable (16 lines)
      From: Dan Buchanan <dbuchanan@sigma3.ca>
    • Re: Multiple response to single variable (34 lines)
      From: Richard Ristow <wrristow@mindspring.com>

79. ONE solution: large files with SPSS: how does spss handle data
    • Re: ONE solution: large files with SPSS: how does spss handle data (199 lines)
      From: Manny Straehle <MStraehle@NBME.org>
    • Re: ONE solution: large files with SPSS: how does spss handle data (216 lines)
      From: Oliver, Richard <richard@spss.com>
    • Re: ONE solution: large files with SPSS: how does spss handle data (53 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: ONE solution: large files with SPSS: how does spss handle data (81 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: ONE solution: large files with SPSS: how does spss handle data (94 lines)
      From: Manny Straehle <MStraehle@NBME.org>
    • Re: ONE solution: large files with SPSS: how does spss handle data (69 lines)
      From: Oliver, Richard <richard@spss.com>

80. Only 30 responses for T-test?
    • Only 30 responses for T-test? (22 lines)
      From: Elsa-Sofia Morote <sofiamorote@hotmail.com>
    • Re: Only 30 responses for T-test? (45 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Only 30 responses for T-test? (43 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
    • Re: Only 30 responses for T-test? (58 lines)
      From: William B. Ware <wbware@email.unc.edu>
    • Re: Only 30 responses for T-test? (50 lines)
      From: Jorge Vulej <jorge@MWI.CO.IL>
    • Re: Only 30 responses for T-test? (39 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
    • Re: Only 30 responses for T-test? (74 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>

81. Optimal PC for large data sets
    • Optimal PC for large data sets (16 lines)
      From: Dauphinee, Tom <Tom.Dauphinee@state.nm.us>

82. Oracle database
    • Oracle database (20 lines)
      From: Marcos Sanches <marcos.sanches@IPSOS.COM.BR>
    • Re: Oracle database (27 lines)
      From: Richard J. Reeves <rr223@cornell.edu>
    • Re: Oracle database (47 lines)
      From: Alexandre Cechin <grothaal@hotmail.com>

83. Ordered categories test
    • Ordered categories test (29 lines)
      From: Luca Meyer <lucameyer@tiscali.it>
    • Re: Ordered categories test (47 lines)
      From: Henrik Lolle <lolle@socsci.auc.dk>
    • Re: Ordered categories test (44 lines)
      From: Anthony Babinec <tbabinec@ameritech.net>

84. PREFMAP vs. ALSCAL / INDSCAL
    • PREFMAP vs. ALSCAL / INDSCAL (29 lines)
      From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>

85. Preserving Colour styles in 12
    • Preserving Colour styles in 12 (75 lines)
      From: John S. Lemon <j.s.lemon@abdn.ac.uk>

86. Printing Output
    • Printing Output (31 lines)
      From: Holm, Jessica Leigh <HOLMJL@uwec.edu>
    • Re: Printing Output (30 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Printing Output (116 lines)
      From: Raynald Levesque <rlevesque@videotron.ca>

87. Problem in survival analysis
    • Problem in survival analysis (17 lines)
      From: Thiyagarajan Jayabaskar <phstj@nus.edu.sg>
    • Re: Problem in survival analysis (34 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: Problem in survival analysis (48 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Problem in survival analysis (83 lines)
      From: Marta García-Granero <biostatistics@terra.es>

88. Problems with intra-class correlation
    • Problems with intra-class correlation (23 lines)
      From: Michael Jerin <drj48@earthlink.net>
    • Re: Problems with intra-class correlation (51 lines)
      From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>
    • Re: Problems with intra-class correlation (66 lines)
      From: Michael Jerin <drj48@earthlink.net>
    • Re: Problems with intra-class correlation (128 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Problems with intra-class correlation (26 lines)
      From: Peggo Lam <peggo.lam@polyu.edu.hk>
    • Re: Problems with intra-class correlation (143 lines)
      From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
    • Re: Problems with intra-class correlation (166 lines)
      From: Michael Jerin <drj48@earthlink.net>

89. Production Facility
    • Production Facility (53 lines)
      From: Collier, Debra M. (CIV) <collierd@nehc.med.navy.mil>
    • Re: Production Facility (49 lines)
      From: Gregory Domjan <g.domjan@abs.gov.au>

90. Programming Standards
    • Programming Standards (42 lines)
      From: William Dudley <william.dudley@nurs.utah.edu>

91. Putting Multiple response variables in a table
    • Putting Multiple response variables in a table (29 lines)
      From: David Lindsay <spss2002_2@sdresearch.com>

92. R: Ordered categories test
    • R: Ordered categories test (71 lines)
      From: Luca Meyer <lucameyer@tiscali.it>
    • Re: R: Ordered categories test (94 lines)
      From: Henrik Lolle <lolle@socsci.auc.dk>

93. R: k-means intial centers?
    • R: k-means intial centers? (198 lines)
      From: Luca Meyer <lucameyer@tiscali.it>

94. RES: Oracle database
    • RES: Oracle database (71 lines)
      From: Marcos Sanches <marcos.sanches@IPSOS.COM.BR>

95. Randomizing to two treatmernts using SPSS
    • Randomizing to two treatmernts using SPSS (23 lines)
      From: Anneke Gr <nuutindurbs@yahoo.com>
    • Re: Randomizing to two treatmernts using SPSS (65 lines)
      From: Art Kendall <Arthur.Kendall@verizon.net>
    • Re: Randomizing to two treatmernts using SPSS (19 lines)
      From: Valentim Rodrigues Alferes <alferes@CI.UC.PT>
    • Re: Randomizing to two treatmernts using SPSS (80 lines)
      From: Anneke Gr <nuutindurbs@yahoo.com>
    • Re: Randomizing to two treatmernts using SPSS (220 lines)
      From: Frederic Villamayor <fvillamayor-research@ferrergrupo.com>
    • Re: Randomizing to two treatmernts using SPSS (223 lines)
      From: Frederic Villamayor <fvillamayor-research@ferrergrupo.com>

96. Re Book Inquiry.
    • Re Book Inquiry. (74 lines)
      From: Marija Norusis <Marijaspss@aol.com>

97. Reducing the width of a string variable
    • Reducing the width of a string variable (54 lines)
      From: Luca Meyer <lucameyer@tiscali.it>

98. References on post-hoc power analysis (reply to several requests)
    • References on post-hoc power analysis (reply to several requests) (125 lines)
      From: Marta García-Granero <biostatistics@terra.es>
    • Re: References on post-hoc power analysis (reply to several requests) (44 lines)
      From: Marta García-Granero <biostatistics@terra.es>

99. Regression analysis and decay values
    • Regression analysis and decay values (46 lines)
      From: Carmel McGinley <lists@quant.com.au>

100. Repeated measures experiment
     • Repeated measures experiment (37 lines)
       From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>

101. Replicating cluster sizes in tracking surveys
     • Replicating cluster sizes in tracking surveys (39 lines)
       From: Mark Webb <targetlk@iafrica.com>
     • Re: Replicating cluster sizes in tracking surveys (118 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Replicating cluster sizes in tracking surveys (88 lines)
       From: Craig Kolb <craig.kolb@ASKAFRIKA.CO.ZA>
     • Re: Replicating cluster sizes in tracking surveys (109 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Replicating cluster sizes in tracking surveys (172 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: Replicating cluster sizes in tracking surveys (40 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

102. Restructuring data
     • Restructuring data (54 lines)
       From: Henrik Clausen <clausen@wilke.dk>
     • Re: Restructuring data (78 lines)
       From: Hetter, Rebecca D,,DMDCWEST <HETTERRD@osd.pentagon.mil>
     • Re: Restructuring data (87 lines)
       From: Richard Ristow <wrristow@mindspring.com>

103. Retaining case sensitivity during import
     • Retaining case sensitivity during import (28 lines)
       From: Trondsen, Norman(DHS-CLPPB) <NTrondse@dhs.ca.gov>

104. Reversal equation from z to r
     • Reversal equation from z to r (24 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: Reversal equation from z to r (43 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>

105. Running SPSS through DOS batch files
     • Re: Running SPSS through DOS batch files (35 lines)
       From: San Kumaradevan <San.Kumaradevan@dipnr.nsw.gov.au>

106. Runnnig Means Procedure in K-Means Cluster
     • Runnnig Means Procedure in K-Means Cluster (30 lines)
       From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>
     • Re: Runnnig Means Procedure in K-Means Cluster (57 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: Runnnig Means Procedure in K-Means Cluster (99 lines)
       From: Colin Valdiserri <Colin_Valdiserri@marketstrategies.com>
     • Re: Runnnig Means Procedure in K-Means Cluster (93 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Runnnig Means Procedure in K-Means Cluster (131 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: Runnnig Means Procedure in K-Means Cluster (151 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: Runnnig Means Procedure in K-Means Cluster (184 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: Runnnig Means Procedure in K-Means Cluster (281 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

107. SIGNOFF SPSSX-L
     • SIGNOFF SPSSX-L (9 lines)
       From: Colin J Page <PAGECJ@uk.ibm.com>

108. SPSS Register Limitation
     • SPSS Register Limitation (16 lines)
       From: marcio_m_r@hotmail.com <marcioestat@pop.com.br>
     • Re: SPSS Register Limitation (47 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

109. SPSS SYNTAX - outputting into .csv
     • Re: SPSS SYNTAX - outputting into .csv (47 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>
     • Re: SPSS SYNTAX - outputting into .csv (47 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>

110. SPSS Scripting
     • SPSS Scripting (29 lines)
       From: Yehuda Dayan <Yehuda.Dayan@ipsos.com>

111. SPSS Tutorials
     • SPSS Tutorials (34 lines)
       From: Mike Speed <mspeed@ad.stat.tamu.edu>

112. SPSS complex samples
     • SPSS complex samples (49 lines)
       From: Jude Cosgrove <Jude.cosgrove@ERC.IE>

113. SPSS syntax elegances
     • SPSS syntax elegances (96 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: SPSS syntax elegances (112 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: SPSS syntax elegances (55 lines)
       From: Richard Ristow <wrristow@mindspring.com>

114. SPSS syntax elegances : Great wisdom for beginners
     • SPSS syntax elegances : Great wisdom for beginners (116 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>

115. SPSS to XML
     • SPSS to XML (17 lines)
       From: <Amanda Ferster> <aferster@doe.k12.ga.us>
     • Re: SPSS to XML (23 lines)
       From: Stephen Hampshire <stephenhampshire@leadershipfactor.com>
     • Re: SPSS to XML (38 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>
     • Re: SPSS to XML (43 lines)
       From: Jun Wan <Jun.Wan@orcmacro.com>
     • Re: SPSS to XML (53 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: SPSS to XML (63 lines)
       From: Jun Wan <Jun.Wan@orcmacro.com>
     • Re: SPSS to XML (92 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: SPSS to XML (99 lines)
       From: Jun Wan <Jun.Wan@orcmacro.com>
     • Re: SPSS to XML (160 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

116. SPSS v12 compared with earlier versions
     • SPSS v12 compared with earlier versions (32 lines)
       From: David Hutton <David.Hutton@cem.dur.ac.uk>

117. Sample Size question
     • Sample Size question (25 lines)
       From: Gerd Weingrill - Opinionis <gerd@opinionis.at>
     • Re: Sample Size question (28 lines)
       From: Richard Ristow <wrristow@mindspring.com>

118. Saving a file twice
     • Saving a file twice (23 lines)
       From: Richard J. Reeves <rr223@cornell.edu>
     • Re: Saving a file twice (58 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

119. Select Cases
     • Select Cases (23 lines)
       From: Whitt, Susanne <SWhitt@hq.odedodea.edu>
     • Re: Select Cases (45 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: Select Cases (70 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

120. Setup question - spssgctl.ocx
     • Setup question - spssgctl.ocx (31 lines)
       From: Johann Thorsson <johann@tamu.edu>

121. Splitting in the number of files as there are number of value s in varible x
     • Re: Splitting in the number of files as there are number of value s in varible x (83 lines)
       From: Spousta Jan <JSpousta@csas.cz>

122. Splitting in the number of files as there are number of values in varible x
     • Splitting in the number of files as there are number of values in varible x (24 lines)
       From: L Johansson <lars.h.johansson@vattenfall.com>
     • Re: Splitting in the number of files as there are number of values in varible x (49 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

123. Splitting stings
     • Splitting stings (38 lines)
       From: Jason Payne <Jason.Payne@AIC.GOV.AU>
     • Splitting stings (55 lines)
       From: Jason Payne <Jason.Payne@AIC.GOV.AU>

124. Splitting strings
     • Re: Splitting strings (77 lines)
       From: Patrick E. Burns <patrickburns@economicrt.org>

125. Spss 12 Layered Pivot to Separate Worksheets
     • Spss 12 Layered Pivot to Separate Worksheets (19 lines)
       From: Patricia OConnor <aa1160@DFA.STATE.NY.US>
     • Re: Spss 12 Layered Pivot to Separate Worksheets (54 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

126. Stat. Testing for Multiple-Response Columns - Hybrid of Independe nt and Dependent Sample T-Tests
     • Stat. Testing for Multiple-Response Columns - Hybrid of Independe nt and Dependent Sample T-Tests (40 lines)
       From: Feinstein, Zachary <ZFeinstein@HarrisInteractive.com>

127. Still confused on what the CACHE command actually does and how it works.
     • Still confused on what the CACHE command actually does and how it works. (83 lines)
       From: Frank Milthorpe <Frank.Milthorpe@dipnr.nsw.gov.au>
     • Re: Still confused on what the CACHE command actually does and how it works. (107 lines)
       From: Simon Freidin <s.freidin@IAESR.UNIMELB.EDU.AU>

128. Suggestion: Document BREAK with LOOP
     • Suggestion: Document BREAK with LOOP (31 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: Suggestion: Document BREAK with LOOP (46 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: Suggestion: Document BREAK with LOOP (24 lines)
       From: Richard Ristow <wrristow@mindspring.com>

129. Survey Says!
     • Survey Says! (27 lines)
       From: Ryan Mulligan <rmulligan@regionsix.com>
     • Re: Survey Says! (49 lines)
       From: Whitt, Susanne <SWhitt@hq.odedodea.edu>

130. Survival analysis
     • Re: Survival analysis (186 lines)
       From: Marta García-Granero <biostatistics@terra.es>

131. Syntax Help
     • Syntax Help (20 lines)
       From: kende jan <kendejan@yahoo.fr>
     • Re: Syntax Help (40 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
     • Re: Syntax Help (83 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

132. Syntax question
     • Syntax question (41 lines)
       From: Cohen, Lou <Lou.Cohen@bhsala.com>
     • Re: Syntax question (71 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

133. Template not preserving colors in SPSS 12.0
     • Template not preserving colors in SPSS 12.0 (19 lines)
       From: Frommelt, Allen <Frommelt@chime.org>

134. Testing Logistic Regression Assumptions
     • Testing Logistic Regression Assumptions (11 lines)
       From: G Steube <mathguy@VERIZON.NET>

135. Trend Line.
     • Trend Line. (37 lines)
       From: David Baird <d.w.baird@att.net>

136. Yves Therriault/RR/Reg09/SSSS/Gouv.Qc est absent(e).
     • Yves Therriault/RR/Reg09/SSSS/Gouv.Qc est absent(e). (13 lines)
       From: Yves Therriault <Yves_Therriault@ssss.gouv.qc.ca>

137. Z scores, normal distribution and curves
     • Z scores, normal distribution and curves (21 lines)
       From: Ian Lamont <ian@CDC-NI.COM>
     • Re: Z scores, normal distribution and curves (69 lines)
       From: Richard Ristow <wrristow@mindspring.com>

138. [spam] [spam] Re: unsubscribe
     • Re: [spam] [spam] Re: unsubscribe (57 lines)
       From: Tesiny, Ed <EdTesiny@oasas.state.ny.us>

139. article on MVA
     • article on MVA (23 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>
     • Re: article on MVA (17 lines)
       From: Paul T. von Hippel <von-hippel.1@OSU.EDU>
     • Re: article on MVA (20 lines)
       From: Paul T. von Hippel <von-hippel.1@OSU.EDU>
     • Re: article on MVA (43 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
     • Re: article on MVA (35 lines)
       From: Paul T. von Hippel <von-hippel.1@OSU.EDU>

140. bar chart in SPSS
     • bar chart in SPSS (27 lines)
       From: Paul Mcgeoghan <Mcgeoghan@Cardiff.ac.uk>
     • Re: bar chart in SPSS (37 lines)
       From: Valentim Rodrigues Alferes <alferes@CI.UC.PT>

141. change value labels to variable value
     • change value labels to variable value (13 lines)
       From: Celso <celsoalejandro@cantv.net>
     • Re: change value labels to variable value (34 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: change value labels to variable value (32 lines)
       From: Eric He <Eric.He@Ipsos-NA.com>

142. changing variable type using syntax
     • changing variable type using syntax (47 lines)
       From: Elena Garifoullina <Elena.Garifoullina@argos.co.uk>

143. changing variable type using syntax --- for a large number of variables
     • Re: changing variable type using syntax --- for a large number of variables (75 lines)
       From: David Hutton <David.Hutton@cem.dur.ac.uk>

144. choosing records
     • choosing records (20 lines)
       From: Cathy Smith <cathysmith343@hotmail.com>
     • Re: choosing records (52 lines)
       From: Bob Walker <spssx-l@surveys-forecasts.com>

145. collect cases
     • collect cases (38 lines)
       From: ARUN, Ozgur <e104459@netscape.net>
     • Re: collect cases (64 lines)
       From: Richard Ristow <wrristow@mindspring.com>

146. compute series within case
     • compute series within case (34 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>
     • Re: compute series within case (72 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>
     • Re: compute series within case (130 lines)
       From: Parise, Carol A. <PariseC@sutterhealth.org>

147. confidence intervals for geometric means or percentiles?
     • confidence intervals for geometric means or percentiles? (13 lines)
       From: Margaret Kurzius-Spencer <mkurzius@RESP-SCI.ARIZONA.EDU>

148. consecutive vars using GET DATA
     • consecutive vars using GET DATA (42 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
     • Re: consecutive vars using GET DATA (71 lines)
       From: Spousta Jan <JSpousta@csas.cz>
     • Re: consecutive vars using GET DATA (85 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: consecutive vars using GET DATA (104 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>

149. contribution plots in pca
     • contribution plots in pca (51 lines)
       From: Hille, Axel <axel.hille@loegd.nrw.de>

150. copyright
     • copyright (29 lines)
       From: Arnaldo Ferrari Nasi <ferrari@CSB-SCPO.UNIGE.IT>
     • Re: copyright (51 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: copyright (65 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>

151. covariates with repeated measures ANOVA
     • covariates with repeated measures ANOVA (42 lines)
       From: Grimm, Katherine <kagrimm@healtheast.org>
     • Re: covariates with repeated measures ANOVA (58 lines)
       From: Gregory Hildebrandt <greg.hildebrandt@sbcglobal.net>
     • Re: covariates with repeated measures ANOVA (28 lines)
       From: Michael Kruger <aa3657@wayne.edu>

152. creating new tables
     • creating new tables (20 lines)
       From: Kamau, Patrick <Pkamau@cdcnairobi.mimcom.net>
     • Re: creating new tables (52 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

153. data>template>value labels>how to clear?
     • Re: data>template>value labels>how to clear? (24 lines)
       From: Caldwell, Gregory <caldwellg@hra.nyc.gov>

154. dataset dilemma
     • dataset dilemma (70 lines)
       From: Gonzales, Dana L <GonzalesDanaL@uams.edu>
     • Re: dataset dilemma (82 lines)
       From: Dr Julius Kitutu <jmm+@pitt.edu>

155. decimals disappearing
     • decimals disappearing (26 lines)
       From: Zdaniuk, Bozena <BZdaniuk@ucsur.pitt.edu>
     • Re: decimals disappearing (39 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: decimals disappearing (48 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

156. define vector according to the number of a variable list
     • define vector according to the number of a variable list (49 lines)
       From: Cady Wan <xqw1@yahoo.com>
     • Re: define vector according to the number of a variable list (93 lines)
       From: Martins Liberts <Martins.Liberts@csb.gov.lv>
     • Re: define vector according to the number of a variable list (125 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

157. define vector according to the number of a variable list [C an one define a string with a length given by a variable?]
     • Re: define vector according to the number of a variable list [C an one define a string with a length given by a variable?] (66 lines)
       From: David Hutton <David.Hutton@cem.dur.ac.uk>
     • Re: define vector according to the number of a variable list [C an one define a string with a length given by a variable?] (110 lines)
       From: Martins Liberts <Martins.Liberts@csb.gov.lv>

158. demonstrating intervention effectiveness
     • demonstrating intervention effectiveness (59 lines)
       From: Madeleine Ryan <maryan@ccysb.org>
     • Re: demonstrating intervention effectiveness (77 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

159. dissertation review
     • dissertation review (51 lines)
       From: Gonzales, Dana L <GonzalesDanaL@uams.edu>

160. freq. within customer records
     • freq. within customer records (37 lines)
       From: Brian Moore <bmoore@worldatwork.org>
     • Re: freq. within customer records (62 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: freq. within customer records (40 lines)
       From: Richard Ristow <wrristow@mindspring.com>

161. generating data
     • generating data (14 lines)
       From: Andrew Walsh <awalsh@uhnresearch.ca>
     • Re: generating data (53 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>

162. help with macros
     • help with macros (47 lines)
       From: Lisel O'Dwyer <lisel.odwyer@flinders.edu.au>
     • Re: help with macros (104 lines)
       From: Martins Liberts <Martins.Liberts@csb.gov.lv>
     • Re: help with macros (153 lines)
       From: Gregory Domjan <g.domjan@abs.gov.au>
     • Re: help with macros (174 lines)
       From: Hetter, Rebecca D,,DMDCWEST <HETTERRD@osd.pentagon.mil>

163. histograms for large datasets
     • histograms for large datasets (28 lines)
       From: Thea Crippa <tcrippa@red-usa.com>
     • Re: histograms for large datasets (56 lines)
       From: Michael Wexler <mwexler@E-DIALOG.COM>

164. implications of unequal sample sizes
     • implications of unequal sample sizes (35 lines)
       From: Nico Peruzzi, Ph.D. <nperuzzi@yahoo.com>
     • Re: implications of unequal sample sizes (46 lines)
       From: Anthony Babinec <tbabinec@ameritech.net>
     • Re: implications of unequal sample sizes (63 lines)
       From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>

165. installing SPSS
     • installing SPSS (41 lines)
       From: Cathy Schulz <CSCHULZ@che.umn.edu>

166. just subscribed/ question
     • just subscribed/ question (30 lines)
       From: Matthew Hoover <mhoover@donahue.umassp.edu>
     • Re: just subscribed/ question (48 lines)
       From: Tesiny, Ed <EdTesiny@oasas.state.ny.us>
     • Re: just subscribed/ question (53 lines)
       From: Simon Freidin <simonpf@unimelb.edu.au>

167. keep values
     • keep values (20 lines)
       From: Mike Kühne <Mike.Kuehne@mailbox.tu-dresden.de>
     • Re: keep values (55 lines)
       From: Cady Wan <xqw1@yahoo.com>

168. keeping common values
     • keeping common values (111 lines)
       From: <Bertin Dadaille> <Dadaille.Bertin@tbs-sct.gc.ca>
     • Re: keeping common values (152 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

169. labels
     • labels (13 lines)
       From: Ian Lamont <ian@CDC-NI.COM>
     • Re: labels (33 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: labels (39 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

170. lag
     • lag (46 lines)
       From: Cardwell, Susan <susan.cardwell@mwsu.edu>
     • Re: lag (100 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>

171. large files with SPSS: how does spss handle data
     • large files with SPSS: how does spss handle data (77 lines)
       From: Manny Straehle <MStraehle@NBME.org>
     • Re: large files with SPSS: how does spss handle data (92 lines)
       From: Parry, James <jparry@spss.com>
     • Re: large files with SPSS: how does spss handle data (104 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: large files with SPSS: how does spss handle data (97 lines)
       From: Bob Walker <spssx-l@surveys-forecasts.com>
     • Re: large files with SPSS: how does spss handle data (118 lines)
       From: Manny Straehle <MStraehle@NBME.org>
     • Re: large files with SPSS: how does spss handle data (29 lines)
       From: Gregory Hildebrandt <greg.hildebrandt@sbcglobal.net>
     • Re: large files with SPSS: how does spss handle data (154 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>
     • Re: large files with SPSS: how does spss handle data (166 lines)
       From: Oliver, Richard <richard@spss.com>

172. log transformation and repeated measures
     • log transformation and repeated measures (42 lines)
       From: Grimm, Katherine <kagrimm@healtheast.org>
     • Re: log transformation and repeated measures (64 lines)
       From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>
     • Re: log transformation and repeated measures (102 lines)
       From: Paul Dickson <paulandpen@optusnet.com.au>

173. long string variables only partially visible
     • Re: long string variables only partially visible (45 lines)
       From: David Hutton <David.Hutton@cem.dur.ac.uk>
     • Re: long string variables only partially visible (61 lines)
       From: Antoon Smulders <a.smulders@beke.nl>
     • Re: long string variables only partially visible (30 lines)
       From: Peck, Jon <peck@spss.com>

174. long string variables only partialy visible
     • long string variables only partialy visible (22 lines)
       From: Antoon Smulders <a.smulders@beke.nl>

175. matrix missing data and exhausted workspace
     • matrix missing data and exhausted workspace (24 lines)
       From: Carolyn Bird <cbird@CHE.UMN.EDU>

176. p-values and correlation in SPSS
     • p-values and correlation in SPSS (16 lines)
       From: Elsa-Sofia Morote <sofiamorote@hotmail.com>
     • Re: p-values and correlation in SPSS (45 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

177. pattern matching of romance items
     • pattern matching of romance items (36 lines)
       From: Jon Mettrick <mettrj01@STUDENT.UCR.EDU>
     • Re: pattern matching of romance items (54 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>
     • Re: pattern matching of romance items (64 lines)
       From: Will Bailey [Statman] <statmanz@earthlink.net>
     • Re: pattern matching of romance items (17 lines)
       From: emaguin@acsu.buffalo.edu
     • Re: pattern matching of romance items (45 lines)
       From: Zdaniuk, Bozena <BZdaniuk@ucsur.pitt.edu>

178. please unsribe me
     • please unsribe me (11 lines)
       From: Michaël Chetboun <mchetboun@telebec.com>
     • Re: please unsribe me (35 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

179. posthoc power analysis?
     • posthoc power analysis? (14 lines)
       From: Zdaniuk, Bozena <BZdaniuk@ucsur.pitt.edu>
     • Re: posthoc power analysis? (40 lines)
       From: Marta García-Granero <biostatistics@terra.es>

180. psychiatric diagnosis from DSM codes
     • psychiatric diagnosis from DSM codes (34 lines)
       From: Thomas Idiculla <tidiculla@mclean.harvard.edu>

181. referred to you by Dr Mike Speed
     • referred to you by Dr Mike Speed (26 lines)
       From: I.A.Alsuwaih <I.A.Alsuwaih@NEWCASTLE.AC.UK>
     • Re: referred to you by Dr Mike Speed (52 lines)
       From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>

182. sample size
     • sample size (14 lines)
       From: Aditya Andika <learningaddict83@yahoo.com>
     • Re: sample size (81 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>

183. seeking an efficient way to calculate confidence intervals for multiple variables - syntax/macro options included
     • seeking an efficient way to calculate confidence intervals for multiple variables - syntax/macro options included (110 lines)
       From: Bob Green <bgreen@dyson.brisnet.org.au>

184. selecting cases
     • selecting cases (20 lines)
       From: Jed J. Teres <jjt2002@med.cornell.edu>
     • Re: selecting cases (38 lines)
       From: Bob Walker <spssx-l@surveys-forecasts.com>
     • Re: selecting cases (88 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: selecting cases (54 lines)
       From: Jed J. Teres <jjt2002@med.cornell.edu>

185. simple question
     • simple question (51 lines)
       From: Allison Ellman <allison.ellman@QUORUMCONSULTING.COM>
     • Re: simple question (59 lines)
       From: Oliver, Richard <richard@spss.com>
     • Re: simple question (78 lines)
       From: Sudhakaran, Manju (MBNP ms) <Manju.Sudhakaran@us.millwardbrown.com>

186. singoff SPSSX-L
     • singoff SPSSX-L (11 lines)
       From: Anamaria Kazanis <akazanis@umich.edu>

187. spss 12.0 vs spss 6.0
     • spss 12.0 vs spss 6.0 (20 lines)
       From: Arnaldo Ferrari Nasi <vs.arni@TISCALI.IT>
     • spss 12.0 vs spss 6.0 (25 lines)
       From: Arnaldo Ferrari Nasi <vs.arni@TISCALI.IT>
     • Re: spss 12.0 vs spss 6.0 (43 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
     • Re: spss 12.0 vs spss 6.0 (68 lines)
       From: Dennis Deck <dennis_deck@rmccorp.com>

188. spss-documentation
     • spss-documentation (12 lines)
       From: Monika Heinzel-Gutenbrunner <heinzelg@med.uni-marburg.de>
     • Re: spss-documentation (35 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

189. standardization
     • standardization (25 lines)
       From: MOSER Winfried <winfried.moser@statistik.gv.at>
     • Re: standardization (45 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

190. standardized regression weights in GLM
     • standardized regression weights in GLM (571 lines)
       From: Shelagh Mulvaney <shelagh.a.mulvaney@vanderbilt.edu>

191. statistics books
     • statistics books (18 lines)
       From: Burleson,Joseph A. <burleson@up.uchc.edu>
     • Re: statistics books (49 lines)
       From: Caldwell, Gregory <caldwellg@hra.nyc.gov>
     • Re: statistics books (69 lines)
       From: Mark Davenport <madavenp@OFFICE.UNCG.EDU>
     • Re: statistics books (65 lines)
       From: Marija Norusis <Marijaspss@aol.com>

192. stats consult
     • stats consult (19 lines)
       From: Tasha Burwinkle <TBurwinkle@aol.com>
     • Re: stats consult (45 lines)
       From: Art Kendall <Arthur.Kendall@verizon.net>

193. string manipulation
     • string manipulation (31 lines)
       From: Paul Mcgeoghan <Mcgeoghan@Cardiff.ac.uk>
     • Re: string manipulation (53 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>
     • Re: string manipulation (63 lines)
       From: Paul Mcgeoghan <Mcgeoghan@Cardiff.ac.uk>
     • Re: string manipulation (100 lines)
       From: Raynald Levesque <rlevesque@videotron.ca>

194. syntax to change numeric to character
     • syntax to change numeric to character (13 lines)
       From: Carol Jones <jonesce@michigan.gov>
     • Re: syntax to change numeric to character (58 lines)
       From: Hetter, Rebecca D,,DMDCWEST <HETTERRD@osd.pentagon.mil>
     • Re: syntax to change numeric to character (47 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>
     • Re: syntax to change numeric to character (38 lines)
       From: Manny Straehle <MStraehle@NBME.org>
     • Re: syntax to change numeric to character (27 lines)
       From: Carol Jones <jonesce@michigan.gov>

195. syntax to compute a common standard deviation - is there a pr oblem with the syntax I have been using
     • Re: syntax to compute a common standard deviation - is there a pr oblem with the syntax I have been using (79 lines)
       From: Spousta Jan <JSpousta@CSAS.CZ>

196. syntax to compute a common standard deviation - is there a problem with the syntax I have been using
     • syntax to compute a common standard deviation - is there a problem with the syntax I have been using (56 lines)
       From: Bob Green <bgreen@dyson.brisnet.org.au>

197. test for normality of residuals
     • test for normality of residuals (24 lines)
       From: Ralf Zimmermann <Ralf.Zimmermann@ifes.uni-erlangen.de>
     • Re: test for normality of residuals (61 lines)
       From: Marta García-Granero <biostatistics@terra.es>
     • Re: test for normality of residuals (77 lines)
       From: Jeff Borckardt <jeffb@UTKUX.UTCC.UTK.EDU>

198. ubsubscribe
     • ubsubscribe (10 lines)
       From: Veena Joshi <vdj009@hotmail.com>

199. unsubscribe
     • unsubscribe (11 lines)
       From: Veena Joshi <vdj009@hotmail.com>
     • Re: unsubscribe (45 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • unsubscribe (10 lines)
       From: Russell, Betsy <BETSY.RUSSELL@Bain.com>

200. unsubscribe the listserv
     • unsubscribe the listserv (21 lines)
       From: Wei Teng <Wei.Teng@ynhh.org>

201. using syntax to insert a case
     • using syntax to insert a case (33 lines)
       From: Roy Money <roy.money@yale.edu>
     • Re: using syntax to insert a case (86 lines)
       From: Martins Liberts <Martins.Liberts@csb.gov.lv>
     • Re: using syntax to insert a case (51 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: using syntax to insert a case (32 lines)
       From: Richard Ristow <wrristow@mindspring.com>

202. using syntax to truncate a string
     • using syntax to truncate a string (44 lines)
       From: Christian Doessel <Christian.Doessel@tbwa-datasolutions.de>
     • Re: using syntax to truncate a string (93 lines)
       From: Martins Liberts <Martins.Liberts@csb.gov.lv>

203. weighted kappas
     • weighted kappas (17 lines)
       From: Shelagh Mulvaney <shelagh.a.mulvaney@vanderbilt.edu>
     • Re: weighted kappas (40 lines)
       From: Kylie Lange <kylie.lange@flinders.edu.au>

204. why do sequential macro calls take more time?
     • Re: why do sequential macro calls take more time? (115 lines)
       From: Richard Ristow <wrristow@mindspring.com>

205. write-up on ICC
     • write-up on ICC (15 lines)
       From: Zdaniuk, Bozena <BZdaniuk@ucsur.pitt.edu>
     • Re: write-up on ICC (44 lines)
       From: Paul R Swank <Paul.R.Swank@uth.tmc.edu>