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SPSSX-L archives – June 2011

  1. $90 discount if you register for Clinical Trial Analysis Using R before June 17th

  2. ANNOUNCE: SPSS WORKSHOPS AND USERS MEETING 2011

  3. Automatic reply: FW: Old portable file

  4. Automatic reply: Hosmer-Lemeshow Goodness of Fit (Logistic Regression)

  5. Automatic reply: Interpretation of parameters in loglinear models

  6. Automatic reply: Mixed Effects Model for group-randomised trial

  7. Automatic reply: Recoding for more than one result

  8. Automatic reply: Regression in colors

  9. Automatic reply: SPSSX-L Digest - 2 Jun 2011 to 3 Jun 2011 (#2011-153)

  10. Automatic reply: SPSSX-L Digest - 21 Jun 2011 (#2011-175)

  11. Automatic reply: SPSSX-L Digest - 22 Jun 2011 to 23 Jun 2011 (#2011-177)

  12. Automatic reply: SPSSX-L Digest - 9 Jun 2011 to 10 Jun 2011 (#2011-160)

  13. Automatic reply: Show empty categories in tables using OMS

  14. Automatic reply: Subject ID as Fixed Covariate

  15. Automatic reply: WEIGHT

  16. Bug in Decision Tree code generation?

  17. CTABLES Sub-Base

  18. Caculating means of lowest quintile for 283 wards

  19. Categorisation of continuous data not always a bad thing

  20. Changing the default margin size

  21. Coding Missing Data in new SPSS 19. version

  22. Comparing Correlation Matrices

  23. Comparing regression coefficients in related samples

  24. Cumulative Probability Plots

  25. Date
    • Date (113 lines)
      From: Stella Vasquez <SVasquez@azdjc.gov>
    • Re: Date (229 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: Date (368 lines)
      From: John Fiedler <johnfiedler@oreon.net>
    • Re: Date (108 lines)
      From: Rick Oliver <oliverr@us.ibm.com>

  26. Delete string values according to a condition

  27. Different Surveys and Multilevel Models (aka mixed models)

  28. Dot Charts with single dot per line a la Bill Cleveland

  29. Dotplot without binning using menus?

  30. Eliminating
    • Re: Eliminating (58 lines)
      From: David Marso <david.marso@gmail.com>
    • Eliminating (29 lines)
      From: Charley Trimble <charleytrimble@SBCGLOBAL.NET>
    • Re: Eliminating (62 lines)
      From: Bob Walker <rww@safllc.com>

  31. Error # 1405
    • Error # 1405 (48 lines)
      From: eline_arnoldy <eline_arnoldy@HOTMAIL.COM>

  32. Estimation maximisation - How to preserve missing values designated as "99"

  33. Exact test vs Monte Carlo

  34. FW: Caculating means of lowest quintile for 283 wards

  35. FW: FW: Caculating means of lowest quintile for 283 wards

  36. FW: Old portable file

  37. FW: Saving to *.por format fails

  38. File references?

  39. Frreezing columns?

  40. Fw: Re: Comparing regression coefficients in related samples

  41. Fwd: Hi ~~
    • Fwd: Hi ~~ (122 lines)
      From: Judy Harmon <gh1959@aol.com>
    • Re: Fwd: Hi ~~ (23 lines)
      From: David Marso <david.marso@gmail.com>

  42. Fwd: Recoding for more than one result

  43. Fwd: two factor hierachical model

  44. Generating random 'constants'

  45. Handbook of Survey Research

  46. Hello,lsvmaint!

  47. Hey
    • Hey (56 lines)
      From: Judy Harmon <gh1959@aol.com>
    • Re: Hey (133 lines)
      From: Tesiny, Ed <EdTesiny@oasas.state.ny.us>

  48. Hi ~~
    • Hi ~~ (57 lines)
      From: Judy Harmon <gh1959@aol.com>
    • Re: Hi ~~ (186 lines)
      From: ViAnn Beadle <vab88011@gmail.com>
    • Re: Hi ~~ (142 lines)
      From: Albert-Jan Roskam <fomcl@yahoo.com>

  49. Hosmer-Lemeshow Goodness of Fit (Logistic Regression)

  50. How to delete cases with equal values on all variables

  51. Including formatting in export

  52. Interpretation of parameters in loglinear models

  53. Is there meaning to the order of clusters in k-means?

  54. Kappa w/ unequal score ranges in SPSS 19

  55. Limit open data sets to 1?

  56. Log linear model Interpretation in SPSS

  57. Logistic regression help

  58. MIXED for crossover study with baselines

  59. Margin of error

  60. Margin of error redux

  61. Mixed Effects Model for group-randomised trial

  62. Mixed linear model

  63. Modeling/Clinical Trial Analysis with R. Begins June 17th

  64. Multiple Imputation

  65. N on graphs

  66. Need help excluding a value when computing a variable

  67. Nested logit

  68. Nested models and waiting list controls

  69. Not able to read ancient portable fil (.por) from 1984 - Dataarcheological question

  70. OUTPUT SAVE error

  71. Old portable file

  72. Online Summer Courses Using R Software

  73. PCA: R-Matrix Determinant =0 and "not positive Definite"

  74. PDF File of CMAJ paper "categorisation not a bad thing"

  75. Panel Data Regression..!!

  76. Please kindly advice

  77. Python: List Index out of range

  78. Question about non-normal data

  79. Range Bar (was: Dotplot without binning using menus?)

  80. Recoding for more than one result

  81. Recoding multiple variables into a single variable--HELP PLS

  82. Regarding SPSS discussion

  83. Regression in colors

  84. Repeated Measures Contrasts

  85. Running in total

  86. SPSS / Python - compiler

  87. SPSS 19 command syntax reference URL?

  88. SPSS purchase issues

  89. SPSSINC TURF extension command updated

  90. STATS_RELIMP

  91. SV: Not able to read ancient portable fil (.por) from 1984 - Dataarcheological question

  92. SV: Old portable file

  93. Saving to *.por format fails

  94. Setting Periodicity in Weeks

  95. Show empty categories in tables using OMS

  96. Significance testing notations change in SPSS custom tables

  97. Slow SPSS 16/PASW 18 Windows XP

  98. Statistical analysis after grouping

  99. Stats Courses: SPSS syntax // multilevel modelling // SEM using MPlus - Sheffield, June 2011

  100. String variable - leading zeros

  101. Subject ID as Fixed Covariate

  102. Subject ID as a Fixed Covariate in Doubly Repeated Measures Design

  103. Subtitle with more than 60 characters

  104. WEIGHT
    • Re: WEIGHT (57 lines)
      From: David Marso <david.marso@gmail.com>
    • WEIGHT (50 lines)
      From: DEBOER <ronnysentongo@HOTMAIL.COM>
    • Re: WEIGHT (74 lines)
      From: David Marso <david.marso@gmail.com>

  105. Weighting in Multilevel regression

  106. Welch vs Brown-Forsythe in ANOVA

  107. Yahoo! Auto Response

  108. Z Test
    • Re: Z Test (87 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Z Test (84 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Z Test (109 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Z Test (24 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Z Test (100 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>
    • Re: Z Test (26 lines)
      From: David Marso <david.marso@gmail.com>
    • Re: Z Test (42 lines)
      From: Bruce Weaver <bruce.weaver@hotmail.com>

  109. [SPSS] Using a loop/vector to run a syntax file

  110. adding a prefix to all variables

  111. automate computations

  112. automatic dummy coding

  113. cluster analysis methods

  114. cross validation using SPSS

  115. cross-validation using SPSS

  116. crossvalidation CHAID - RMSE

  117. easy way to count no of schools. urgent

  118. error in syntax - converting string bp into two numeric variables

  119. help me
    • help me (76 lines)
      From: MARGOT mh <magimarin@hotmail.com>
    • Re: help me (198 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: help me (233 lines)
      From: Evan Harrington <EHarrington@thechicagoschool.edu>
    • Re: help me (704 lines)
      From: MARGOT mh <magimarin@hotmail.com>
    • Re: help me (893 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: help me (349 lines)
      From: R B <ryan.andrew.black@gmail.com>
    • Re: help me (2606 lines)
      From: Gene Maguin <emaguin@buffalo.edu>
    • Re: help me (280 lines)
      From: Rich Ulrich <rich-ulrich@live.com>
    • Re: help me (320 lines)
      From: MARGOT mh <magimarin@hotmail.com>

  120. kr20
    • Re: kr20 (153 lines)
      From: ANDRES ALBERTO BURGA LEON <aburgal@minedu.gob.pe>

  121. make variable based on variable 1 and 2 but variable 2 supercedes variable 1

  122. match file with string variable

  123. mixed models - time as DV

  124. mixed models - time as DV [SEC: UNOFFICIAL]

  125. number of of studies required for meta-analysis

  126. number of value labels in a variable: Python

  127. parsing out letters from a string variable

  128. python: if and if statements

  129. recode using multiple variables

  130. two factor hierachical model

  131. use of control chart on daily price data
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