Not to take away from Ben or others, but I highly doubt PSPP will be able to do this at this stage of its development. It took SPSS a very, very long time to get this type of functionality available to their users. I used to have this at the top of my list of stat procedures needed when I met with the SPSS reps, and it took about 10+ years for them to finally implement it. I would suggest you take a look at the SPSS Statistical Algorithms manual if you have access to a copy; I believe it is documented there if that might be helpful . Having this capability to handle complex sample designs in conjunction with a weight variable is critical if one is using data from pretty much any of the large, governmental surveys. And please, feel free to correct me if this capability is in PSPP in some fashion-that would really make the software very very useful in certain analytic circles.
Marshall From: [email protected] [mailto:[email protected]] On Behalf Of David Spaugh Sent: Wednesday, May 18, 2011 7:18 PM To: [email protected] Subject: Weights -> estimate with relative standard error Greetings, I've used PSPP to extract columnar data from a 2008 public use data file named NAMCS08.exe located at <http://www.cdc.gov/nchs/ahcd/ahcd_questionnaires.htm> http://www.cdc.gov/nchs/ahcd/ahcd_questionnaires.htm. (Scroll down to Public-use Data Files / Downloadable Data Files, Click the link for NAMCS, 1993-2008.) It's a medical care survey. The extraction script I used is pasted below. To keep the script small, I've left un-needed data clumped in large undefined columns. The DIAG1 and DIAG2 columns contain non-numeric diagnostic codes. The PVM column is a weight value. The CSTRATM column is a strata value and the CPSUM column is cluster value, for use in variance estimation. My understanding is that if I isolate a class of DIAG codes within the data and then aggregate their respective PVM weights, I'll have a national annual estimate of incidence rate for that type of diagnosis. However, the estimate needs to be accompanied by a relative standard error. The CSTRATM & CPSUM variables are for use in calculating the RSE. Apparently SPSS will do this with a script partly provided on page 89 of the NAMCS file documentation. They mention "SPSS Complex Samples 12.0 Module". I've read the PSPP manual and attempted a script myself, but I'm not even close, and I'm in over my head. Before I completely abandon this exploration into NAMCS "public use data files", I thought I'd put this in front of the community. My objectives: 1 - aggregate the weights of all records that have a DIAG1 value of 38200, 38201, 3824-, or 3829-, to provide a national estimate of incidence for those codes, with RSE calculated based on the strata and cluster values. 2 - if possible, expand objective-1 to also include all records that have a DIAG2 value of 38200, 38201, 3824-, or 3829- that is accompanied by DIAG1 codes of 49390, 4659-, or V202. Is PSPP capable of this? FWIW - I have a respectable skill set in various arena, but statistical assessment is not part of it. I'm simply over my head. If my objectives are difficult to achieve with PSPP, then I'm done and will move on to something else. However, if this little project requires only moderate effort from a person with expertise, then I would be immensely grateful if someone could provide a script or show me how to do it. I'm not sure about the protocols of this mailing list, but if I'm allowed to say so, compensation for the work is available. Thanks! DS Extraction script: set workspace=100000000. GET DATA /TYPE=TXT /FILE='C:\Documents and Settings\Owner\My Documents\WPI New\Papers\Research Data\NAMCS\2008 raw data\NAMCS08' /ARRANGEMENT=FIXED /FIRSTCASE=2 /IMPORTCASE=ALL /VARIABLES=VMONTH 0-1 F VYEAR 2-5 F VDAYR 6-6 F AGE 7-9 F SEX 10-10 F ETHNIC 11-12 F RACE 13-14 F DN1 15-51 A Reason 52-53 F DIAG1 54-58 A DIAG2 59-63 A DIAG3 64-68 A DN2 69-222 A MED 223-223 F MED1 224-228 F MED2 229-233 F MED3 234-238 F MED4to8 239-263 A NCMED1 264-265 F NCMED2 266-267 F NCMED3 268-269 F DN3 270-301 A PVW 302-307 F DN35 308-327 A DRUGID1 328-333 A DN4 334-384 A DRUGID2 385-390 A DN5 391-441 A DRUGID3 442-447 A DN6 448-968 A CSTRATM 969-976 F CPSUM 977-982 F DN7 983-996 A.
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