Table of contents:

• <No subject> (2 messages)
• =?us-ascii?Q?Re=3AConverting=20Mixed=20String=2DNumeric=20Variables?=
• =?us-ascii?Q?Re=3ADO=20IF=20statement=20loop?=
• =?us-ascii?Q?Re=3AHi=20and=20question=201=20of=203?=
• =?us-ascii?Q?Re=3ALoops?=
• =?us-ascii?Q?Re=3AQuestion=202=3A=20Weight=20question?=
• =?us-ascii?Q?Re=3AQuestion=203=3A=20Filter=20question?=
• =?us-ascii?Q?Re=3ASyntax=20problem=20on=20Parallel=20Analysis?=
• =?us-ascii?Q?Re=3Afuzzy=20data=20matching?=
• =?utf-8?B?U1BTUyBQcmluY2lwYWwgQ29tcG9uZW50cyBBbmFseXNpcyB3aXRoIEhvcm4=?= =?utf-8?B?4oCZcyBwYXJhbGxlbCBhbmFseXNpcw==?=
• ANNOUNCE: FINAL REMINDER FOR SPSS PYTHON WORKSHOPS
• ANNOUNCE: REMINDER SPSS USERS MEETING 2008
• ANNOUNCE: USING SPSS WITH PYTHON WORKSHOPS AT LSE NOW FULLY BOOKED; PLACES STILL AVAILABLE ON THE SUNDERLAND WORKSHOP
• AW: data preparation (5 messages)
• Abwesenheitsbenachrichtigung
• Accurate Beta Coefficients in SPSS Regression Output? (4 messages)
• Acknowledgement of SPSS in Writings
• Banner Table help
• Banner tables help (2 messages)
• Bayesian Estimation in AMOS Editor
• Bland-Altman method with repeated measures (2 messages)
• Breaking Python integration
• CTABLES Command (2 messages)
• Calculating age-adjusted prevalence using a Python module (NEW) for SPSS complex sample surveys- Albertorio
• Clementine users? (was: Clementine and distance functions for clustering) (2 messages)
• Comparing Means (6 messages)
• Converting Mixed String-Numeric Variables (2 messages)
• Creating graphs with transparent backgrounds (2 messages)
• DO IF statement loop (5 messages)
• Date greater than or equal to (3 messages)
• Duplicate IDs (2 messages)
• Dynamic Factor Analysis in SPSS (2 messages)
• EFA then CFA (2 messages)
• Enquires on Multiple Regression (2 messages)
• Export to Excel Fix (6 messages)
• FW: Converting Mixed String-Numeric Variables
• FW: [SPSSX-L] Loops
• FW: syntax multiple response table
• Factor Analysis in SPSS (2 messages)
• GLM or ???
• Getting Started with Python (10 messages)
• HLM-SPSS Tutorial (4 messages)
• HLM-SPSS Tutorial (Doing HLM in SPSS) (3 messages)
• Hardware recommendations? (5 messages)
• Heteroscedacity (3 messages)
• Hi and question 1 of 3
• Hierarchical Bayesian networks (2 messages)
• How to draw a random sample for 30 cities, 50 retailers? (2 messages)
• How to get the data for the factors(from the factor analysis) (3 messages)
• How to open a view in SPSS 15.0
• How to truncate a variable in SPSS? (6 messages)
• Invitation to SPSS Focus Group at JSM
• Item non-response in summed scale: Guidance? (2 messages)
• Jackknife in SPSS (3 messages)
• LAG/LEAD functions (2 messages)
• Large scale data (2 messages)
• Linearity question (2 messages)
• Logistic Regression vs Linear Regression (8 messages)
• Looping by index from variable contents (10 messages)
• Loops (2 messages)
• Match Function from Ecel (3 messages)
• Missing cases ... or are they? (2 messages)
• Monte Carlo simulation and Logistic regression (2 messages)
• Multicollinearity (10 messages)
• Multicollinearity confusion (8 messages)
• Multiple Imputation in SPSS 17.0
• Multiple Regression Models (7 messages)
• Multiple Regression with Continuous and Categorical (3 messages)
• Multiple Regression with Continuous and Categorical Variables (3 messages)
• Multiple people, one record (3 messages)
• Multiple regression and/or classification and regression trees
• Multiple response questions (2 messages)
• Multiple tests with nonparametric Analysis (3 messages)
• Novice user inquiry (2 messages)
• OMS and GPL
• One observation on the stability of SPSS 17
• Output Prints with Two Blank Pages (2 messages)
• Parallel Analysis (4 messages)
• Pasting SPSS 16 tables into Word (4 messages)
• Perceptual maps in SPSS 14.0
• Plotting Cox Hazard/Survival Functions (2 messages)
• Poisson regression: univariate vs multivariate (2 messages)
• Poisson regression: univariate vs multivariate - adendum
• Question 2: Weight question (3 messages)
• Question 3: Filter question
• REDUCING PROCESSING TIME (4 messages)
• Raiserror when joining multiple tables
• Random Sample selection for multiple times
• Random Sample selection for multiple times from the same data file (2 messages)
• Ratios in V13.0
• Re:DO IF statement loop
• Recode Multiple Variables into One Variable? (3 messages)
• Recoding variables (3 messages)
• Regression Plots: Observed vs Predicted
• Remove ID's with missing month end data (15 messages)
• Repeated Measures Regression (3 messages)
• Repeated measures
• SPSS - best practices? (6 messages)
• SPSS 16 and TextPad
• SPSS 16.0.2.1 Terminating Abruptly and Vanishing (4 messages)
• SPSS CRASH CRASH CRSAH (3 messages)
• SPSS MVA (2 messages)
• SPSS Principal Components Analysis with Horn's paralle l analysis
• SPSS Principal Components Analysis with Horn?s parallel analysis (2 messages)
• SPSS Python Integration Plug-in - v.16.0.2 (2 messages)
• SPSS Version 17 (2 messages)
• SPSS student version 15
• SPSS version 15 student (3 messages)
• SPSSX-L Digest - 14 Jul 2008 to 15 Jul 2008 (#2008-196) (2 messages)
• Search for a value in all variables? (6 messages)
• Select Pivot Table via Syntax (2 messages)
• Separating banner when exporting to Excel (2 messages)
• Serious problems with SPSS data analysis! (2 messages)
• Significant difference test for Cronbach's alpha (2 messages)
• Simplifying work with SPSS v13 (2 messages)
• Splitting banners to multiple sheets in Excel (6 messages)
• Stats query in Reports/Case Summaries missing
• Stripping last three numbers from variable (3 messages)
• Syntax Calculated 1 Sample T-Test Value Different than SPSS's (?) (3 messages)
• Syntax problem on Parallel Analysis (2 messages)
• Time Series Analysis
• Training Programme on SPSS
• Using GLM repeated measures (2 messages)
• Using OMS and Bootstrapping for Logistic Regression (3 messages)
• Which issue I should deal with first?
• a merging problem (2 messages)
• arrays (3 messages)
• break in y axis
• calculate date 2 wks prior to date field (2 messages)
• chart templates using chart builder
• classification (2 messages)
• computations with dates (5 messages)
• computations with dates using many to many
• compute variable using if statements (3 messages)
• coordinates in correpondence analysis (3 messages)
• correct for unequal N size
• correlated observations
• daily number of patients (6 messages)
• data preparation (4 messages)
• date and times (2 messages)
• date problem (2 messages)
• estimate of the DF
• excel to SPSS (2 messages)
• fixed effects clarification (4 messages)
• fuzzy data matching (5 messages)
• fuzzy data matching (2)
• how to copy a list of variables over to a new file (2 messages)
• how to lag a variable?
• insufficient N for factor analysis (11 messages)
• levesque problem (3 messages)
• line graph profile from wide layout
• lookup between datasets (2 messages)
• macro (2 messages)
• more on 2-dim arrays
• page setup in v16.0.2 with hotfix 1 still does not respond to <file> <page setup>
• percentiles (4 messages)
• proportionality of odds assumption test
• remove extra spaces in address field (9 messages)
• removing duplicates within categories (3 messages)
• selecting cases??????? (8 messages)
• selective saving/writing to output file based on $casenum
• selective saving/writing to output file based on $casenum or other criterion (2 messages)
• spss15 vs spss16(is slower) (2 messages)
• sql listserv
• standardised data
• t test comparing 2 questions in one sample (2 messages)
• title on the y-axis in control charts (2 messages)
• transform Hours into minutes (2 messages)
• unwanted text added to syntax commands
• variance structures in MIXED (7 messages)
• zero-order corr and partial corr in opposite directions (2 messages)

1. <No subject>
   • <No subject> (68 lines)
     From: Charley Trimble <charleytrimble@sbcglobal.net>
   • <No subject> (128 lines)
     From: Hector Maletta <hmaletta@fibertel.com.ar>

2. =?us-ascii?Q?Re=3AConverting=20Mixed=20String=2DNumeric=20Variables?=
   • =?us-ascii?Q?Re=3AConverting=20Mixed=20String=2DNumeric=20Variables?= (89 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

3. =?us-ascii?Q?Re=3ADO=20IF=20statement=20loop?=
   • =?us-ascii?Q?Re=3ADO=20IF=20statement=20loop?= (87 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

4. =?us-ascii?Q?Re=3AHi=20and=20question=201=20of=203?=
   • =?us-ascii?Q?Re=3AHi=20and=20question=201=20of=203?= (94 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

5. =?us-ascii?Q?Re=3ALoops?=
   • =?us-ascii?Q?Re=3ALoops?= (56 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

6. =?us-ascii?Q?Re=3AQuestion=202=3A=20Weight=20question?=
   • =?us-ascii?Q?Re=3AQuestion=202=3A=20Weight=20question?= (74 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

7. =?us-ascii?Q?Re=3AQuestion=203=3A=20Filter=20question?=
   • =?us-ascii?Q?Re=3AQuestion=203=3A=20Filter=20question?= (78 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

8. =?us-ascii?Q?Re=3ASyntax=20problem=20on=20Parallel=20Analysis?=
   • =?us-ascii?Q?Re=3ASyntax=20problem=20on=20Parallel=20Analysis?= (131 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

9. =?us-ascii?Q?Re=3Afuzzy=20data=20matching?=
   • =?us-ascii?Q?Re=3Afuzzy=20data=20matching?= (73 lines)
     From: =?us-ascii?Q?Jerabek=20Jindrich?= <JindraJerabek@seznam.cz>

10. =?utf-8?B?U1BTUyBQcmluY2lwYWwgQ29tcG9uZW50cyBBbmFseXNpcyB3aXRoIEhvcm4=?= =?utf-8?B?4oCZcyBwYXJhbGxlbCBhbmFseXNpcw==?=
    • =?utf-8?B?U1BTUyBQcmluY2lwYWwgQ29tcG9uZW50cyBBbmFseXNpcyB3aXRoIEhvcm4=?= =?utf-8?B?4oCZcyBwYXJhbGxlbCBhbmFseXNpcw==?= (26 lines)
      From: Johnny Amora <bayesian2001@yahoo.com>

11. ANNOUNCE: FINAL REMINDER FOR SPSS PYTHON WORKSHOPS
    • ANNOUNCE: FINAL REMINDER FOR SPSS PYTHON WORKSHOPS (128 lines)
      From: Peter Watson <peter.watson@mrc-cbu.cam.ac.uk>

12. ANNOUNCE: REMINDER SPSS USERS MEETING 2008
    • ANNOUNCE: REMINDER SPSS USERS MEETING 2008 (173 lines)
      From: Peter Watson <peter.watson@mrc-cbu.cam.ac.uk>

13. ANNOUNCE: USING SPSS WITH PYTHON WORKSHOPS AT LSE NOW FULLY BOOKED; PLACES STILL AVAILABLE ON THE SUNDERLAND WORKSHOP
    • ANNOUNCE: USING SPSS WITH PYTHON WORKSHOPS AT LSE NOW FULLY BOOKED; PLACES STILL AVAILABLE ON THE SUNDERLAND WORKSHOP (48 lines)
      From: Peter Watson <peter.watson@mrc-cbu.cam.ac.uk>

14. AW: data preparation
    • AW: data preparation (52 lines)
      From: la volta statistics <schmidhauser@lavolta.ch>
    • Re: AW: data preparation (66 lines)
      From: Christian Deindl <deindl@soziologie.uzh.ch>
    • Re: AW: data preparation (99 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>
    • Re: AW: data preparation (141 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: AW: data preparation (163 lines)
      From: Christian Deindl <deindl@soziologie.uzh.ch>

15. Abwesenheitsbenachrichtigung
    • Abwesenheitsbenachrichtigung (53 lines)
      From: Boris Pöhlmann <boris.poehlmann@aqua-institut.de>

16. Accurate Beta Coefficients in SPSS Regression Output?
    • Accurate Beta Coefficients in SPSS Regression Output? (33 lines)
      From: Dave M <dmiele@GMAIL.COM>
    • Re: Accurate Beta Coefficients in SPSS Regression Output? (45 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Accurate Beta Coefficients in SPSS Regression Output? (32 lines)
      From: David Hitchin <d.h.hitchin@sussex.ac.uk>
    • Re: Accurate Beta Coefficients in SPSS Regression Output? (51 lines)
      From: Peck, Jon <peck@spss.com>

17. Acknowledgement of SPSS in Writings
    • Acknowledgement of SPSS in Writings (29 lines)
      From: SUBSCRIBE SPSSX-L Anonymous <smendsco@UREACH.COM>

18. Banner Table help
    • Banner Table help (67 lines)
      From: Suvash Dhakal <suvash@brandengineers.com>

19. Banner tables help
    • Banner tables help (66 lines)
      From: Suvash Dhakal <suvash@BRANDENGINEERS.COM>
    • Re: Banner tables help (86 lines)
      From: vlad simion <vlad.simion@gmail.com>

20. Bayesian Estimation in AMOS Editor
    • Bayesian Estimation in AMOS Editor (157 lines)
      From: Jennie Day <jennieday@berkeley.edu>

21. Bland-Altman method with repeated measures
    • Bland-Altman method with repeated measures (23 lines)
      From: kende jan <kendejan@yahoo.fr>
    • Re: Bland-Altman method with repeated measures (48 lines)
      From: =?UTF-8?B?TWFydGEgR2FyY8OtYS1HcmFuZXJv?= <mgarciagranero@gmail.com>

22. Breaking Python integration
    • Breaking Python integration (29 lines)
      From: Henry Crawford <hcrawford@LAKERESEARCH.COM>

23. CTABLES Command
    • CTABLES Command (32 lines)
      From: Guerrero, Rodrigo <RGuerrero@thescooterstore.com>
    • Re: CTABLES Command (60 lines)
      From: vlad simion <vlad.simion@gmail.com>

24. Calculating age-adjusted prevalence using a Python module (NEW) for SPSS complex sample surveys- Albertorio
    • Calculating age-adjusted prevalence using a Python module (NEW) for SPSS complex sample surveys- Albertorio (102 lines)
      From: Albertorio, Juan R. (CDC/CCHIS/NCHS) <jna8@CDC.GOV>

25. Clementine users? (was: Clementine and distance functions for clustering)
    • Clementine users? (was: Clementine and distance functions for clustering) (46 lines)
      From: Greg James <gjames@kddlab.com>
    • Re: Clementine users? (was: Clementine and distance functions for clustering) (61 lines)
      From: Mark Palmberg <palmberg@gmail.com>

26. Comparing Means
    • Comparing Means (40 lines)
      From: Andrew Piskorowski <apiskorowski@surveysciences.com>
    • Re: Comparing Means (69 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Comparing Means (94 lines)
      From: Andrew Piskorowski <apiskorowski@surveysciences.com>
    • Re: Comparing Means (117 lines)
      From: Statmanz <statmanz@earthlink.net>
    • Re: Comparing Means (130 lines)
      From: Bob Walker <rwwalker@optonline.net>
    • Re: Comparing Means (35 lines)
      From: Gene Maguin <emaguin@buffalo.edu>

27. Converting Mixed String-Numeric Variables
    • Converting Mixed String-Numeric Variables (37 lines)
      From: Krinsky, Alan <KrinskyA@ummhc.org>
    • Re: Converting Mixed String-Numeric Variables (65 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

28. Creating graphs with transparent backgrounds
    • Creating graphs with transparent backgrounds (36 lines)
      From: Mill <mill.moore@valley.net>
    • Re: Creating graphs with transparent backgrounds (46 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

29. DO IF statement loop
    • DO IF statement loop (57 lines)
      From: Steve <cheesehead.in.tx@GMAIL.COM>
    • Re: DO IF statement loop (110 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: DO IF statement loop (66 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: DO IF statement loop (59 lines)
      From: Steve <cheesehead.in.tx@GMAIL.COM>
    • Re: DO IF statement loop (82 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

30. Date greater than or equal to
    • Date greater than or equal to (28 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Date greater than or equal to (49 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Date greater than or equal to (73 lines)
      From: james.moffitt@THOMSONREUTERS.COM

31. Duplicate IDs
    • Duplicate IDs (39 lines)
      From: J Scelza <jfs37@GEORGETOWN.EDU>
    • Re: Duplicate IDs (72 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

32. Dynamic Factor Analysis in SPSS
    • Re: Dynamic Factor Analysis in SPSS (25 lines)
      From: Hans Chen <spsshanschen@gmail.com>
    • Re: Dynamic Factor Analysis in SPSS (45 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

33. EFA then CFA
    • EFA then CFA (28 lines)
      From: Juanito Talili <talilij@yahoo.com>
    • Re: EFA then CFA (50 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

34. Enquires on Multiple Regression
    • Re: Enquires on Multiple Regression (40 lines)
      From: Aaron Chan <aaronckt@yahoo.com.sg>
    • Re: Enquires on Multiple Regression (69 lines)
      From: SR Millis <srmillis@yahoo.com>

35. Export to Excel Fix
    • Export to Excel Fix (30 lines)
      From: Sandra Delova <sandra.delova@gmail.com>
    • Re: Export to Excel Fix (48 lines)
      From: Hal 9000 <9000.hal@gmail.com>
    • Re: Export to Excel Fix (85 lines)
      From: Dr. Thomas W. MacFarland <tommac@nova.edu>
    • Re: Export to Excel Fix (110 lines)
      From: Sandra Delova <sandra.delova@gmail.com>
    • Re: Export to Excel Fix (144 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>
    • Re: Export to Excel Fix (172 lines)
      From: Sandra Delova <sandra.delova@gmail.com>

36. FW: Converting Mixed String-Numeric Variables
    • FW: Converting Mixed String-Numeric Variables (95 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

37. FW: [SPSSX-L] Loops
    • FW: [SPSSX-L] Loops (55 lines)
      From: Melissa Ives <mives@chestnut.org>

38. FW: syntax multiple response table
    • FW: syntax multiple response table (43 lines)
      From: Deborah Wasserman <DWasserman@EHE.OSU.EDU>

39. Factor Analysis in SPSS
    • Factor Analysis in SPSS (25 lines)
      From: PS Datta <datta.parthasarathi@gmail.com>
    • Re: Factor Analysis in SPSS (49 lines)
      From: Manmit Shrimali <MShrimali@marketrx.com>

40. GLM or ???
    • GLM or ??? (29 lines)
      From: SPSS SPSS <spss_spss@yahoo.com>

41. Getting Started with Python
    • Getting Started with Python (49 lines)
      From: J Sutar <jsutar@gmail.com>
    • Re: Getting Started with Python (83 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Getting Started with Python (115 lines)
      From: J Sutar <jsutar@gmail.com>
    • Re: Getting Started with Python (108 lines)
      From: Juanito Talili <talilij@yahoo.com>
    • Re: Getting Started with Python (124 lines)
      From: J Sutar <jsutar@gmail.com>
    • Re: Getting Started with Python (80 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: Getting Started with Python (467 lines)
      From: Carolyn Catenhauser <ccatenhauser@servicemanagement.com>
    • Re: Getting Started with Python (44 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Getting Started with Python (27 lines)
      From: Johnny Amora <amora_johnny@YAHOO.COM>
    • Re: Getting Started with Python (48 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

42. HLM-SPSS Tutorial
    • HLM-SPSS Tutorial (27 lines)
      From: Kizzy M Parks <parksk@fit.edu>
    • Re: HLM-SPSS Tutorial (50 lines)
      From: vlad simion <vlad.simion@gmail.com>
    • Re: HLM-SPSS Tutorial (81 lines)
      From: Neda Faregh <nfaregh@rogers.com>
    • Re: HLM-SPSS Tutorial (106 lines)
      From: Dennis Deck <DDeck@rmccorp.com>

43. HLM-SPSS Tutorial (Doing HLM in SPSS)
    • Re: HLM-SPSS Tutorial (Doing HLM in SPSS) (109 lines)
      From: Stevan Nielsen <stevan_nielsen@byu.edu>
    • Re: HLM-SPSS Tutorial (Doing HLM in SPSS) (86 lines)
      From: Peck, Jon <peck@spss.com>
    • Re: HLM-SPSS Tutorial (Doing HLM in SPSS) (37 lines)
      From: Richard Ristow <wrristow@mindspring.com>

44. Hardware recommendations?
    • Hardware recommendations? (32 lines)
      From: Charley Trimble <charleytrimble@sbcglobal.net>
    • Re: Hardware recommendations? (72 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>
    • Re: Hardware recommendations? (109 lines)
      From: Han, Joanne <JHan@UNEX.UCLA.EDU>
    • Re: Hardware recommendations? (88 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Hardware recommendations? (66 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

45. Heteroscedacity
    • Heteroscedacity (25 lines)
      From: Chen Wei <weichen@ruc.edu.cn>
    • Re: Heteroscedacity (56 lines)
      From: Lisa Stickney <Lts1@ptd.net>
    • Re: Heteroscedacity (43 lines)
      From: David Hitchin <d.h.hitchin@sussex.ac.uk>

46. Hi and question 1 of 3
    • Hi and question 1 of 3 (59 lines)
      From: Neda Faregh <nfaregh@rogers.com>

47. Hierarchical Bayesian networks
    • Hierarchical Bayesian networks (29 lines)
      From: Michael Pearmain <mpearmain@google.com>
    • Re: Hierarchical Bayesian networks (65 lines)
      From: SR Millis <srmillis@yahoo.com>

48. How to draw a random sample for 30 cities, 50 retailers?
    • How to draw a random sample for 30 cities, 50 retailers? (67 lines)
      From: Sanjay Seth, MBA, Ph.D. <sseth@scu.edu.au>
    • Re: How to draw a random sample for 30 cities, 50 retailers? (54 lines)
      From: Gene Maguin <emaguin@buffalo.edu>

49. How to get the data for the factors(from the factor analysis)
    • Re: How to get the data for the factors(from the factor analysis) (26 lines)
      From: Hans Chen <spsshanschen@gmail.com>
    • Re: How to get the data for the factors(from the factor analysis) (54 lines)
      From: Johnny Amora <bayesian2001@yahoo.com>
    • Re: How to get the data for the factors(from the factor analysis) (51 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

50. How to open a view in SPSS 15.0
    • How to open a view in SPSS 15.0 (44 lines)
      From: Allen Frommelt <rfrommelt@NURTURHEALTH.COM>

51. How to truncate a variable in SPSS?
    • How to truncate a variable in SPSS? (26 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: How to truncate a variable in SPSS? (54 lines)
      From: Oliver, Richard <roliver@spss.com>
    • Re: How to truncate a variable in SPSS? (74 lines)
      From: Sara House <Shouse1@luc.edu>
    • Re: How to truncate a variable in SPSS? (61 lines)
      From: Pirritano, Matthew <MPirritano@ochca.com>
    • Re: How to truncate a variable in SPSS? (83 lines)
      From: Oliver, Richard <roliver@spss.com>
    • Re: How to truncate a variable in SPSS? (56 lines)
      From: Wincy Chan <wincy@hku.hk>

52. Invitation to SPSS Focus Group at JSM
    • Invitation to SPSS Focus Group at JSM (107 lines)
      From: Silverburg, Danial <dsilverburg@spss.com>

53. Item non-response in summed scale: Guidance?
    • Item non-response in summed scale: Guidance? (46 lines)
      From: Howie Harshaw <hharshaw@gmail.com>
    • Re: Item non-response in summed scale: Guidance? (71 lines)
      From: Melissa Ives <mives@chestnut.org>

54. Jackknife in SPSS
    • Jackknife in SPSS (18 lines)
      From: kourosh <kom460@MAIL.USASK.CA>
    • Re: Jackknife in SPSS (34 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>
    • Re: Jackknife in SPSS (49 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

55. LAG/LEAD functions
    • LAG/LEAD functions (38 lines)
      From: Tibert, Brock <BTibert@bentley.edu>
    • Re: LAG/LEAD functions (67 lines)
      From: Richard Ristow <wrristow@mindspring.com>

56. Large scale data
    • Large scale data (22 lines)
      From: Shaljan <amshaljan@GMAIL.COM>
    • Re: Large scale data (62 lines)
      From: Spousta Jan <JSpousta@CSAS.CZ>

57. Linearity question
    • Linearity question (30 lines)
      From: Lori Day <lori.day@gallaudet.edu>
    • Re: Linearity question (59 lines)
      From: vlad simion <vlad.simion@gmail.com>

58. Logistic Regression vs Linear Regression
    • Logistic Regression vs Linear Regression (26 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Logistic Regression vs Linear Regression (41 lines)
      From: Sara House <shouse1@luc.edu>
    • Re: Logistic Regression vs Linear Regression (94 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Logistic Regression vs Linear Regression (30 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Logistic Regression vs Linear Regression (54 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Logistic Regression vs Linear Regression (50 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Logistic Regression vs Linear Regression (73 lines)
      From: Bob Schacht <schacht@hawaii.edu>
    • Re: Logistic Regression vs Linear Regression (116 lines)
      From: jimjohn <azam.khan@utoronto.ca>

59. Looping by index from variable contents
    • Looping by index from variable contents (23 lines)
      From: Frank Millard <frankhm@EARTHLINK.NET>
    • Re: Looping by index from variable contents (53 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Looping by index from variable contents (101 lines)
      From: Frank H. Millard <frankhm@earthlink.net>
    • Re: Looping by index from variable contents (119 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Looping by index from variable contents (71 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Looping by index from variable contents (156 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Looping by index from variable contents (203 lines)
      From: Frank H. Millard <frankhm@earthlink.net>
    • Re: Looping by index from variable contents (42 lines)
      From: Richard Ristow <wrristow@mindspring.com>
    • Re: Looping by index from variable contents (250 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Looping by index from variable contents (435 lines)
      From: Art Kendall <Art@DrKendall.org>

60. Loops
    • Loops (26 lines)
      From: Khaleel Hussaini <khaleel.hussaini@gmail.com>
    • Re: Loops (52 lines)
      From: Dennis Deck <DDeck@rmccorp.com>

61. Match Function from Ecel
    • Match Function from Ecel (74 lines)
      From: J Sutar <jsutar@gmail.com>
    • Re: Match Function from Ecel (117 lines)
      From: Bob Walker <rwwalker@optonline.net>
    • Re: Match Function from Ecel (103 lines)
      From: vlad simion <vlad.simion@gmail.com>

62. Missing cases ... or are they?
    • Missing cases ... or are they? (53 lines)
      From: Matthew Reeder <reederm1@yahoo.com>
    • Re: Missing cases ... or are they? (78 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

63. Monte Carlo simulation and Logistic regression
    • Monte Carlo simulation and Logistic regression (39 lines)
      From: Michael Kruger <aa3657@wayne.edu>
    • Re: Monte Carlo simulation and Logistic regression (83 lines)
      From: SR Millis <srmillis@yahoo.com>

64. Multicollinearity
    • Re: Multicollinearity (204 lines)
      From: azam.khan@utoronto.ca
    • Re: Multicollinearity (47 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multicollinearity (54 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multicollinearity (89 lines)
      From: Johnny Amora <bayesian2001@yahoo.com>
    • Re: Multicollinearity (75 lines)
      From: azam.khan@utoronto.ca
    • Re: Multicollinearity (117 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multicollinearity (84 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multicollinearity (109 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multicollinearity (136 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multicollinearity (128 lines)
      From: Ornelas, Fermin <FerminOrnelas@azdes.gov>

65. Multicollinearity confusion
    • Multicollinearity confusion (27 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multicollinearity confusion (64 lines)
      From: Pirritano, Matthew <MPirritano@ochca.com>
    • Re: Multicollinearity confusion (73 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>
    • Re: Multicollinearity confusion (115 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Multicollinearity confusion (87 lines)
      From: Johnny Amora <bayesian2001@yahoo.com>
    • Re: Multicollinearity confusion (116 lines)
      From: Pirritano, Matthew <MPirritano@ochca.com>
    • Re: Multicollinearity confusion (151 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multicollinearity confusion (177 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

66. Multiple Imputation in SPSS 17.0
    • Multiple Imputation in SPSS 17.0 (25 lines)
      From: Nicholas Spence <dspence2@UWO.CA>

67. Multiple Regression Models
    • Multiple Regression Models (27 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Multiple Regression Models (76 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multiple Regression Models (65 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Multiple Regression Models (92 lines)
      From: Arthur Kramer <akramer@NJCU.edu>
    • Re: Multiple Regression Models (110 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Multiple Regression Models (129 lines)
      From: Arthur Kramer <akramer@NJCU.edu>
    • Re: Multiple Regression Models (145 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

68. Multiple Regression with Continuous and Categorical
    • Re: Multiple Regression with Continuous and Categorical (23 lines)
      From: Martin Holt <theholts@care4free.net>
    • Re: Multiple Regression with Continuous and Categorical (65 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multiple Regression with Continuous and Categorical (49 lines)
      From: Art Kendall <Art@DrKendall.org>

69. Multiple Regression with Continuous and Categorical Variables
    • Multiple Regression with Continuous and Categorical Variables (36 lines)
      From: Briana H. Witteveen <bwitteveen@sfos.uaf.edu>
    • Re: Multiple Regression with Continuous and Categorical Variables (90 lines)
      From: SR Millis <srmillis@yahoo.com>
    • Re: Multiple Regression with Continuous and Categorical Variables (80 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

70. Multiple people, one record
    • Multiple people, one record (26 lines)
      From: Graeme Fairnie <graeme.fairnie@HOMEOFFICE.GSI.GOV.UK>
    • Re: Multiple people, one record (80 lines)
      From: Marks, Jim <Jim.Marks@lodgenet.com>
    • Re: Multiple people, one record (65 lines)
      From: Albert-jan Roskam <fomcl@yahoo.com>

71. Multiple regression and/or classification and regression trees
    • Multiple regression and/or classification and regression trees (46 lines)
      From: Briana H. Witteveen <bwitteveen@sfos.uaf.edu>

72. Multiple response questions
    • Multiple response questions (27 lines)
      From: Suvash Dhakal <suvash@brandengineers.com>
    • Re: Multiple response questions (56 lines)
      From: PS Datta <datta.parthasarathi@gmail.com>

73. Multiple tests with nonparametric Analysis
    • Multiple tests with nonparametric Analysis (32 lines)
      From: Balmer Thomas <Thomas.Balmer@phbern.ch>
    • Re: Multiple tests with nonparametric Analysis (65 lines)
      From: Dominic Lusinchi <dominic@farwestresearch.com>
    • Re: Multiple tests with nonparametric Analysis (360 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

74. Novice user inquiry
    • Novice user inquiry (90 lines)
      From: Hedges, Tiffany <thedges@utk.edu>
    • Re: Novice user inquiry (112 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

75. OMS and GPL
    • OMS and GPL (75 lines)
      From: Tibert, Brock <BTibert@bentley.edu>

76. One observation on the stability of SPSS 17
    • One observation on the stability of SPSS 17 (37 lines)
      From: Mark A Davenport MADAVENP <M_Davenport@uncg.edu>

77. Output Prints with Two Blank Pages
    • Output Prints with Two Blank Pages (112 lines)
      From: Justin Meyer <justin.meyer@rowlandreading.org>
    • Re: Output Prints with Two Blank Pages (136 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

78. Parallel Analysis
    • Parallel Analysis (37 lines)
      From: Manmit.Shrimali@COGNIZANT.COM
    • Re: Parallel Analysis (50 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>
    • Re: Parallel Analysis (85 lines)
      From: Art Kendall <Art@DrKendall.org>
    • Re: Parallel Analysis (73 lines)
      From: Manmit.Shrimali@COGNIZANT.COM

79. Pasting SPSS 16 tables into Word
    • Pasting SPSS 16 tables into Word (29 lines)
      From: David Hitchin <d.h.hitchin@sussex.ac.uk>
    • Re: Pasting SPSS 16 tables into Word (54 lines)
      From: J Sutar <jsutar@gmail.com>
    • Re: Pasting SPSS 16 tables into Word (35 lines)
      From: David Hitchin <d.h.hitchin@sussex.ac.uk>
    • Re: Pasting SPSS 16 tables into Word (73 lines)
      From: ViAnn Beadle <vab88011@gmail.com>

80. Perceptual maps in SPSS 14.0
    • Perceptual maps in SPSS 14.0 (25 lines)
      From: ajay atluri <atluriak@gmail.com>

81. Plotting Cox Hazard/Survival Functions
    • Plotting Cox Hazard/Survival Functions (27 lines)
      From: Dottie <dottie@PPRI.TAMU.EDU>
    • Re: Plotting Cox Hazard/Survival Functions (51 lines)
      From: Reutter, Alex <areutter@spss.com>

82. Poisson regression: univariate vs multivariate
    • Poisson regression: univariate vs multivariate (22 lines)
      From: Ed Hanna <hanna56@GMAIL.COM>
    • Re: Poisson regression: univariate vs multivariate (76 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

83. Poisson regression: univariate vs multivariate - adendum
    • Re: Poisson regression: univariate vs multivariate - adendum (29 lines)
      From: Marta García-Granero <mgarciagranero@gmail.com>

84. Question 2: Weight question
    • Question 2: Weight question (39 lines)
      From: Neda Faregh <nfaregh@rogers.com>
    • Re: Question 2: Weight question (98 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Question 2: Weight question (83 lines)
      From: Hector Maletta <hmaletta@fibertel.com.ar>

85. Question 3: Filter question
    • Question 3: Filter question (37 lines)
      From: Neda Faregh <nfaregh@rogers.com>

86. REDUCING PROCESSING TIME
    • REDUCING PROCESSING TIME (130 lines)
      From: Bruce Colton <brucercolton@comcast.net>
    • Re: REDUCING PROCESSING TIME (65 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: REDUCING PROCESSING TIME (92 lines)
      From: Hal 9000 <9000.hal@gmail.com>
    • Re: REDUCING PROCESSING TIME (75 lines)
      From: Richard Ristow <wrristow@mindspring.com>

87. Raiserror when joining multiple tables
    • Raiserror when joining multiple tables (62 lines)
      From: Nandini <Nandini.B.Rao@HUD.GOV>

88. Random Sample selection for multiple times
    • Re: Random Sample selection for multiple times (52 lines)
      From: Richard Ristow <wrristow@mindspring.com>

89. Random Sample selection for multiple times from the same data file
    • Random Sample selection for multiple times from the same data file (36 lines)
      From: ajay atluri <atluriak@gmail.com>
    • Re: Random Sample selection for multiple times from the same data file (53 lines)
      From: Mark Palmberg <palmberg@gmail.com>

90. Ratios in V13.0
    • Ratios in V13.0 (115 lines)
      From: Elaine LaBorde <elaine.laborde@gmail.com>

91. Re:DO IF statement loop
    • Re: Re:DO IF statement loop (37 lines)
      From: Peck, Jon <peck@spss.com>

92. Recode Multiple Variables into One Variable?
    • Recode Multiple Variables into One Variable? (52 lines)
      From: Justin Meyer <justin.meyer@rowlandreading.org>
    • Re: Recode Multiple Variables into One Variable? (105 lines)
      From: Ariel Barak <abarakabarak@gmail.com>
    • Re: Recode Multiple Variables into One Variable? (74 lines)
      From: Justin Meyer <justin.meyer@rowlandreading.org>

93. Recoding variables
    • Recoding variables (52 lines)
      From: Mariko Kato <marikokato@web.de>
    • Re: Recoding variables (78 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Recoding variables (102 lines)
      From: Peck, Jon <peck@spss.com>

94. Regression Plots: Observed vs Predicted
    • Regression Plots: Observed vs Predicted (24 lines)
      From: jimjohn <azam.khan@utoronto.ca>

95. Remove ID's with missing month end data
    • Remove ID's with missing month end data (34 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (29 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Remove ID's with missing month end data (58 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (27 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Remove ID's with missing month end data (54 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (31 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Remove ID's with missing month end data (66 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (36 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Remove ID's with missing month end data (100 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Remove ID's with missing month end data (74 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (72 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (34 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Remove ID's with missing month end data (57 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (57 lines)
      From: jimjohn <azam.khan@utoronto.ca>
    • Re: Remove ID's with missing month end data (48 lines)
      From: Richard Ristow <wrristow@mindspring.com>

96. Repeated Measures Regression
    • Repeated Measures Regression (25 lines)
      From: Sophie Barrett <zeigna@AOL.COM>
    • Re: Repeated Measures Regression (56 lines)
      From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
    • Re: Repeated Measures Regression (64 lines)
      From: SR Millis <srmillis@yahoo.com>

97. Repeated measures
    • Repeated measures (29 lines)
      From: SPSS SPSS <spss_spss@yahoo.com>

98. SPSS - best practices?
    • SPSS - best practices? (43 lines)
      From: Linda George <georgestruckee@sbcglobal.net>
    • Re: SPSS - best practices? (37 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: SPSS - best practices? (64 lines)
      From: Linda George <georgestruckee@sbcglobal.net>
    • Re: SPSS - best practices? (82 lines)
      From: Hal 9000 <9000.hal@gmail.com>
    • Re: SPSS - best practices? (54 lines)
      From: Dennis Deck <DDeck@rmccorp.com>
    • Re: SPSS - best practices? (70 lines)
      From: Dennis Deck <DDeck@rmccorp.com>

99. SPSS 16 and TextPad
    • Re: SPSS 16 and TextPad (26 lines)
      From: Clockgoesby <clockgoesby@YAHOO.COM>

100. SPSS 16.0.2.1 Terminating Abruptly and Vanishing
     • SPSS 16.0.2.1 Terminating Abruptly and Vanishing (29 lines)
       From: Wesley Joe <wjoe@cfinst.org>
     • Re: SPSS 16.0.2.1 Terminating Abruptly and Vanishing (56 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: SPSS 16.0.2.1 Terminating Abruptly and Vanishing (75 lines)
       From: Graham Wright <gwwri@brandeis.edu>
     • Re: SPSS 16.0.2.1 Terminating Abruptly and Vanishing (93 lines)
       From: Wesley Joe <wjoe@cfinst.org>

101. SPSS CRASH CRASH CRSAH
     • SPSS CRASH CRASH CRSAH (166 lines)
       From: Tim Hennigar <tim.hennigar@sympatico.ca>
     • Re: SPSS CRASH CRASH CRSAH (188 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: SPSS CRASH CRASH CRSAH (204 lines)
       From: Roberts, Michael <robertsm@ahca.myflorida.com>

102. SPSS MVA
     • SPSS MVA (26 lines)
       From: Shaljan Areepattamannil <amshaljan@GMAIL.COM>
     • Re: SPSS MVA (51 lines)
       From: Norton, John <jnorton@spss.com>

103. SPSS Principal Components Analysis with Horn's paralle l analysis
     • RE: SPSS Principal Components Analysis with Horn's paralle l analysis (53 lines)
       From: Kylie Lange <kylie.lange@adelaide.edu.au>

104. SPSS Principal Components Analysis with Horn?s parallel analysis
     • SPSS Principal Components Analysis with Horn?s parallel analysis (27 lines)
       From: Johnny Amora <amora_johnny@YAHOO.COM>
     • Re: SPSS Principal Components Analysis with Horn?s parallel analysis (38 lines)
       From: Marta García-Granero <mgarciagranero@gmail.com>

105. SPSS Python Integration Plug-in - v.16.0.2
     • SPSS Python Integration Plug-in - v.16.0.2 (46 lines)
       From: Joel_Rivard <joel_rivard@carleton.ca>
     • Re: SPSS Python Integration Plug-in - v.16.0.2 (63 lines)
       From: Peck, Jon <peck@spss.com>

106. SPSS Version 17
     • SPSS Version 17 (25 lines)
       From: John Fiedler <johnfiedler@oreon.net>
     • Re: SPSS Version 17 (50 lines)
       From: Statmanz <statmanz@earthlink.net>

107. SPSS student version 15
     • Re: SPSS student version 15 (29 lines)
       From: Aaron Chan <aaronckt@yahoo.com.sg>

108. SPSS version 15 student
     • Re: SPSS version 15 student (34 lines)
       From: Aaron Chan <aaronckt@yahoo.com.sg>
     • Re: SPSS version 15 student (59 lines)
       From: Aurimas Klimas <AurimasKlimas@ITPARTNERIS.LT>
     • Re: SPSS version 15 student (65 lines)
       From: Leo Bakker <leobakker@CHELLO.NL>

109. SPSSX-L Digest - 14 Jul 2008 to 15 Jul 2008 (#2008-196)
     • Re: SPSSX-L Digest - 14 Jul 2008 to 15 Jul 2008 (#2008-196) (49 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: SPSSX-L Digest - 14 Jul 2008 to 15 Jul 2008 (#2008-196) (56 lines)
       From: Peck, Jon <peck@spss.com>

110. Search for a value in all variables?
     • Search for a value in all variables? (38 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: Search for a value in all variables? (40 lines)
       From: Gene Maguin <emaguin@buffalo.edu>
     • Re: Search for a value in all variables? (44 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Search for a value in all variables? (56 lines)
       From: D.R. Wahlgren <dwahlgren@projects.sdsu.edu>
     • Re: Search for a value in all variables? (96 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: Search for a value in all variables? (42 lines)
       From: Richard Ristow <wrristow@mindspring.com>

111. Select Pivot Table via Syntax
     • Select Pivot Table via Syntax (29 lines)
       From: J Sutar <jsutar@gmail.com>
     • Re: Select Pivot Table via Syntax (57 lines)
       From: Sarraf, Shimon A <ssarraf@indiana.edu>

112. Separating banner when exporting to Excel
     • Separating banner when exporting to Excel (40 lines)
       From: Thien Hop <thienhop@gmail.com>
     • Separating banner when exporting to Excel (41 lines)
       From: Thien Hop <thienhop@gmail.com>

113. Serious problems with SPSS data analysis!
     • Serious problems with SPSS data analysis! (277 lines)
       From: MeerieB <meerie@HOTMAIL.COM>
     • Re: Serious problems with SPSS data analysis! (253 lines)
       From: Burleson,Joseph A. <burleson@up.uchc.edu>

114. Significant difference test for Cronbach's alpha
     • Significant difference test for Cronbach's alpha (27 lines)
       From: Johnny Amora <amora_johnny@YAHOO.COM>
     • Re: Significant difference test for Cronbach's alpha (62 lines)
       From: Matthias Spörrle <spoerrle@psy.uni-muenchen.de>

115. Simplifying work with SPSS v13
     • Simplifying work with SPSS v13 (32 lines)
       From: Juan Pablo Sandoval <jpsandoval4275@gmail.com>
     • Re: Simplifying work with SPSS v13 (45 lines)
       From: Richard Ristow <wrristow@mindspring.com>

116. Splitting banners to multiple sheets in Excel
     • Splitting banners to multiple sheets in Excel (32 lines)
       From: Thien Hop <thienhop@gmail.com>
     • Re: Splitting banners to multiple sheets in Excel (64 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: Splitting banners to multiple sheets in Excel (55 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: Splitting banners to multiple sheets in Excel (56 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Splitting banners to multiple sheets in Excel (93 lines)
       From: Thien Hop <thienhop@gmail.com>
     • Re: Splitting banners to multiple sheets in Excel (117 lines)
       From: Peck, Jon <peck@spss.com>

117. Stats query in Reports/Case Summaries missing
     • Stats query in Reports/Case Summaries missing (38 lines)
       From: Mark Webb <targetlk@iafrica.com>

118. Stripping last three numbers from variable
     • Stripping last three numbers from variable (29 lines)
       From: Jennifer Steffes <JSteffes@aap.org>
     • Re: Stripping last three numbers from variable (54 lines)
       From: Oliver, Richard <roliver@spss.com>
     • Re: Stripping last three numbers from variable (45 lines)
       From: Sandra Delova <sandra.delova@gmail.com>

119. Syntax Calculated 1 Sample T-Test Value Different than SPSS's (?)
     • Syntax Calculated 1 Sample T-Test Value Different than SPSS's (?) (189 lines)
       From: Hal 9000 <9000.hal@gmail.com>
     • Re: Syntax Calculated 1 Sample T-Test Value Different than SPSS's (?) (218 lines)
       From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
     • Re: Syntax Calculated 1 Sample T-Test Value Different than SPSS's (?) (233 lines)
       From: Hal 9000 <9000.hal@gmail.com>

120. Syntax problem on Parallel Analysis
     • Syntax problem on Parallel Analysis (61 lines)
       From: Bill Wu <nurwu@buffalo.edu>
     • Re: Syntax problem on Parallel Analysis (129 lines)
       From: Meyer, Gregory J <gmeyer@UTNet.UToledo.Edu>

121. Time Series Analysis
     • Time Series Analysis (25 lines)
       From: echoy <echoy@MCICVERMONT.COM>

122. Training Programme on SPSS
     • Training Programme on SPSS (41 lines)
       From: Prof. Saravanan <prof.saravanan@gmail.com>

123. Using GLM repeated measures
     • Using GLM repeated measures (28 lines)
       From: SPSS SPSS <spss_spss@yahoo.com>
     • Re: Using GLM repeated measures (58 lines)
       From: Jeff Stuewig <jstuewig@gmu.edu>

124. Using OMS and Bootstrapping for Logistic Regression
     • Using OMS and Bootstrapping for Logistic Regression (39 lines)
       From: Michael Kruger <aa3657@wayne.edu>
     • Re: Using OMS and Bootstrapping for Logistic Regression (49 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: Using OMS and Bootstrapping for Logistic Regression (64 lines)
       From: Nathaniel Lewis <N.Lewis@EAA.UNSW.EDU.AU>

125. Which issue I should deal with first?
     • Which issue I should deal with first? (27 lines)
       From: Hans Chen <spsshanschen@gmail.com>

126. a merging problem
     • a merging problem (36 lines)
       From: MKA <mehmetkarakus44@hotmail.com>
     • Re: a merging problem (49 lines)
       From: Gene Maguin <emaguin@buffalo.edu>

127. arrays
     • arrays (17 lines)
       From: Bruce Colton <brucercolton@comcast.net>
     • Re: arrays (43 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: arrays (52 lines)
       From: Richard Ristow <wrristow@mindspring.com>

128. break in y axis
     • break in y axis (60 lines)
       From: Ortseifen, Carina <carina.ortseifen@urz.uni-heidelberg.de>

129. calculate date 2 wks prior to date field
     • calculate date 2 wks prior to date field (22 lines)
       From: David Wright <coxspss@cox.net>
     • Re: calculate date 2 wks prior to date field (65 lines)
       From: David Wright <coxspss@cox.net>

130. chart templates using chart builder
     • chart templates using chart builder (20 lines)
       From: Lindsay Rice <ricel@GSICOMMERCE.COM>

131. classification
     • classification (26 lines)
       From: Jon Oh <ineedtoask@gmail.com>
     • Re: classification (82 lines)
       From: Pirritano, Matthew <MPirritano@ochca.com>

132. computations with dates
     • computations with dates (81 lines)
       From: Tanya Temkin <Tanya.L.Temkin@kp.org>
     • Re: computations with dates (188 lines)
       From: Tanya Temkin <Tanya.L.Temkin@kp.org>
     • Re: computations with dates (254 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>
     • Re: computations with dates (315 lines)
       From: Tanya Temkin <Tanya.L.Temkin@kp.org>
     • Re: computations with dates (375 lines)
       From: Marks, Jim <Jim.Marks@lodgenet.com>

133. computations with dates using many to many
     • Re: computations with dates using many to many (281 lines)
       From: hillel vardi <hilel@BGU.AC.IL>

134. compute variable using if statements
     • compute variable using if statements (28 lines)
       From: jimjohn <azam.khan@utoronto.ca>
     • Re: compute variable using if statements (58 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: compute variable using if statements (65 lines)
       From: azam.khan@utoronto.ca

135. coordinates in correpondence analysis
     • coordinates in correpondence analysis (34 lines)
       From: Shlomo Getz <shlomogetz@gmail.com>
     • Re: coordinates in correpondence analysis (93 lines)
       From: Kooij, A.J. van der <KOOIJ@fsw.leidenuniv.nl>
     • Re: coordinates in correpondence analysis (63 lines)
       From: Hannes Schreier <hs@INSTITUT-SCHREIER.DE>

136. correct for unequal N size
     • correct for unequal N size (28 lines)
       From: Kizzy M Parks <parksk@fit.edu>

137. correlated observations
     • correlated observations (90 lines)
       From: jesus Pastor <buenamigoes@HOTMAIL.COM>

138. daily number of patients
     • daily number of patients (24 lines)
       From: Leo Bakker <leobakker@RU.NL>
     • Re: daily number of patients (62 lines)
       From: Lemon, John S. <j.s.lemon@abdn.ac.uk>
     • Re: daily number of patients (82 lines)
       From: Leo Bakker <leobakker@CHELLO.NL>
     • Re: daily number of patients (46 lines)
       From: Gene Maguin <emaguin@buffalo.edu>
     • Re: daily number of patients (57 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: daily number of patients (233 lines)
       From: Richard Ristow <wrristow@mindspring.com>

139. data preparation
     • data preparation (25 lines)
       From: Christian Deindl <deindl@soziologie.uzh.ch>
     • Re: data preparation (77 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: data preparation (132 lines)
       From: Eero Olli <eero.olli@ldo.no>
     • Re: data preparation (152 lines)
       From: Christian Deindl <deindl@soziologie.uzh.ch>

140. date and times
     • date and times (30 lines)
       From: Khaleel Hussaini <khaleel.hussaini@gmail.com>
     • Re: date and times (50 lines)
       From: Dennis Deck <DDeck@rmccorp.com>

141. date problem
     • date problem (53 lines)
       From: Wroblewski, Matthew <mwroblewski@lfd.com>
     • Re: date problem (30 lines)
       From: Richard Ristow <wrristow@mindspring.com>

142. estimate of the DF
     • estimate of the DF (37 lines)
       From: Paola Chivers <pc8@bigpond.net.au>

143. excel to SPSS
     • excel to SPSS (178 lines)
       From: Suvash Dhakal <suvash@brandengineers.com>
     • Re: excel to SPSS (78 lines)
       From: Richard Ristow <wrristow@mindspring.com>

144. fixed effects clarification
     • fixed effects clarification (218 lines)
       From: Paola Chivers <pc8@bigpond.net.au>
     • Re: fixed effects clarification (248 lines)
       From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>
     • Re: fixed effects clarification (290 lines)
       From: Paola Chivers <pc8@bigpond.net.au>
     • Re: fixed effects clarification (88 lines)
       From: Matthew Pirritano <matthewpirritano@sbcglobal.net>

145. fuzzy data matching
     • fuzzy data matching (41 lines)
       From: Jason Almerigi <almerigi@msu.edu>
     • Re: fuzzy data matching (66 lines)
       From: Peck, Jon <peck@spss.com>
     • Re: fuzzy data matching (163 lines)
       From: Barnett, Adrian (DECS) <Barnett.Adrian2@saugov.sa.gov.au>
     • Re: fuzzy data matching (257 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: fuzzy data matching (60 lines)
       From: Dennis Deck <DDeck@rmccorp.com>

146. fuzzy data matching (2)
     • Re: fuzzy data matching (2) (118 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>

147. how to copy a list of variables over to a new file
     • how to copy a list of variables over to a new file (30 lines)
       From: jimjohn <azam.khan@utoronto.ca>
     • Re: how to copy a list of variables over to a new file (51 lines)
       From: ViAnn Beadle <vab88011@gmail.com>

148. how to lag a variable?
     • Re: how to lag a variable? (63 lines)
       From: Richard Ristow <wrristow@mindspring.com>

149. insufficient N for factor analysis
     • insufficient N for factor analysis (29 lines)
       From: Zdaniuk, Bozena <bozena@pitt.edu>
     • Re: insufficient N for factor analysis (75 lines)
       From: SR Millis <srmillis@yahoo.com>
     • Re: insufficient N for factor analysis (50 lines)
       From: Robert Marshall <marshall_pmp@comcast.net>
     • Re: insufficient N for factor analysis (97 lines)
       From: Frank Thomas <news.ftr@free.fr>
     • Re: insufficient N for factor analysis (75 lines)
       From: Dale Glaser <glaserconsult@sbcglobal.net>
     • Re: insufficient N for factor analysis (79 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: insufficient N for factor analysis (100 lines)
       From: Bob Schacht <schacht@hawaii.edu>
     • Re: insufficient N for factor analysis (125 lines)
       From: Hector Maletta <hmaletta@fibertel.com.ar>
     • Re: insufficient N for factor analysis (120 lines)
       From: Edgar F. Johns <efj@discover-tech.net>
     • Re: insufficient N for factor analysis (143 lines)
       From: Linda Zientek <lrzientek@yahoo.com>
     • Re: insufficient N for factor analysis (99 lines)
       From: Juanito Talili <talilij@yahoo.com>

150. levesque problem
     • levesque problem (36 lines)
       From: Bruce Colton <brucercolton@comcast.net>
     • Re: levesque problem (88 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: levesque problem (66 lines)
       From: Oliver, Richard <roliver@spss.com>

151. line graph profile from wide layout
     • line graph profile from wide layout (51 lines)
       From: Art Kendall <Art@DrKendall.org>

152. lookup between datasets
     • lookup between datasets (50 lines)
       From: Paola Chivers <pc8@bigpond.net.au>
     • Re: lookup between datasets (85 lines)
       From: Lemon, John S. <j.s.lemon@abdn.ac.uk>

153. macro
     • macro (32 lines)
       From: Keval Khichadia <kkhichadia@yahoo.com>
     • Re: macro (85 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>

154. more on 2-dim arrays
     • Re: more on 2-dim arrays (113 lines)
       From: Richard Ristow <wrristow@mindspring.com>

155. page setup in v16.0.2 with hotfix 1 still does not respond to <file> <page setup>
     • page setup in v16.0.2 with hotfix 1 still does not respond to <file> <page setup> (50 lines)
       From: Art Kendall <Art@DrKendall.org>

156. percentiles
     • percentiles (39 lines)
       From: Sandra Delova <sandra.delova@gmail.com>
     • Re: percentiles (47 lines)
       From: Marta García-Granero <mgarciagranero@gmail.com>
     • Re: percentiles (67 lines)
       From: Sandra Delova <sandra.delova@gmail.com>
     • Re: percentiles (85 lines)
       From: Peck, Jon <peck@spss.com>

157. proportionality of odds assumption test
     • proportionality of odds assumption test (30 lines)
       From: Zdaniuk, Bozena <bozena@pitt.edu>

158. remove extra spaces in address field
     • remove extra spaces in address field (27 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: remove extra spaces in address field (67 lines)
       From: Art Kendall <Art@DrKendall.org>
     • Re: remove extra spaces in address field (77 lines)
       From: Bob Walker <rwwalker@optonline.net>
     • Re: remove extra spaces in address field (76 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: remove extra spaces in address field (114 lines)
       From: Albert-jan Roskam <fomcl@yahoo.com>
     • Re: remove extra spaces in address field (124 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: remove extra spaces in address field (155 lines)
       From: George Emerson D'Umbra <ged@spss.com.br>
     • Re: remove extra spaces in address field (164 lines)
       From: Raffe, Sydelle, SSA <DRaffe@acgov.org>
     • Re: remove extra spaces in address field (184 lines)
       From: Oliver, Richard <roliver@spss.com>

159. removing duplicates within categories
     • removing duplicates within categories (24 lines)
       From: Keval Khichadia <kkhichadia@yahoo.com>
     • Re: removing duplicates within categories (167 lines)
       From: Carolyn Catenhauser <ccatenhauser@servicemanagement.com>
     • Re: removing duplicates within categories (40 lines)
       From: Richard Ristow <wrristow@mindspring.com>

160. selecting cases???????
     • Re: selecting cases??????? (54 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: selecting cases??????? (101 lines)
       From: Bob Schacht <schacht@hawaii.edu>
     • Re: selecting cases??????? (68 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: selecting cases??????? (126 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: selecting cases??????? (72 lines)
       From: Marta García-Granero <mgarciagranero@gmail.com>
     • Re: selecting cases??????? (91 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>
     • Re: selecting cases??????? (235 lines)
       From: Richard Ristow <wrristow@mindspring.com>
     • Re: selecting cases??????? (253 lines)
       From: Samuel Solomon <samuel.solomon@nso.gov.er>

161. selective saving/writing to output file based on $casenum
     • Re: selective saving/writing to output file based on $casenum (92 lines)
       From: Richard Ristow <wrristow@mindspring.com>

162. selective saving/writing to output file based on $casenum or other criterion
     • selective saving/writing to output file based on $casenum or other criterion (28 lines)
       From: Bruce Colton <brucercolton@comcast.net>
     • Re: selective saving/writing to output file based on $casenum or other criterion (59 lines)
       From: ViAnn Beadle <vab88011@gmail.com>

163. spss15 vs spss16(is slower)
     • spss15 vs spss16(is slower) (18 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: spss15 vs spss16(is slower) (66 lines)
       From: <R. Abraham> <RAbraham@aaalife.com>

164. sql listserv
     • sql listserv (20 lines)
       From: Keval Khichadia <kkhichadia@yahoo.com>

165. standardised data
     • standardised data (35 lines)
       From: Ellen <statistiekfreak@HOTMAIL.COM>

166. t test comparing 2 questions in one sample
     • t test comparing 2 questions in one sample (33 lines)
       From: Roy Money <roy.money@yale.edu>
     • Re: t test comparing 2 questions in one sample (60 lines)
       From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>

167. title on the y-axis in control charts
     • title on the y-axis in control charts (42 lines)
       From: Zina Kally <zina.kally@remudaranch.com>
     • Re: title on the y-axis in control charts (66 lines)
       From: ViAnn Beadle <vab88011@gmail.com>

168. transform Hours into minutes
     • transform Hours into minutes (28 lines)
       From: Valerie Guille <valerie.guille@FLOREY.EDU.AU>
     • Re: transform Hours into minutes (65 lines)
       From: Ariel Barak <abarakabarak@gmail.com>

169. unwanted text added to syntax commands
     • unwanted text added to syntax commands (29 lines)
       From: Martin Rouse <mfrouse@gmail.com>

170. variance structures in MIXED
     • variance structures in MIXED (75 lines)
       From: Kylie Lange <kylie.lange@adelaide.edu.au>
     • Re: variance structures in MIXED (106 lines)
       From: Reutter, Alex <areutter@spss.com>
     • Re: variance structures in MIXED (143 lines)
       From: Kylie Lange <kylie.lange@adelaide.edu.au>
     • Re: variance structures in MIXED (145 lines)
       From: Reutter, Alex <areutter@spss.com>
     • Re: variance structures in MIXED (178 lines)
       From: Kylie Lange <kylie.lange@adelaide.edu.au>
     • Re: variance structures in MIXED (189 lines)
       From: Reutter, Alex <areutter@spss.com>
     • Re: variance structures in MIXED (240 lines)
       From: Kylie Lange <kylie.lange@adelaide.edu.au>

171. zero-order corr and partial corr in opposite directions
     • zero-order corr and partial corr in opposite directions (32 lines)
       From: Martin Sherman <MSherman@loyola.edu>
     • Re: zero-order corr and partial corr in opposite directions (70 lines)
       From: Swank, Paul R <Paul.R.Swank@uth.tmc.edu>