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From |
Abu Camara <abucamara@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: SE and CI by mrtab |

Date |
Tue, 15 May 2012 08:28:31 +0300 |

Dear Nick & sam, I could not find such in SPSS as well. Abu. On 15 May 2012 00:43, Steve Samuels <sjsamuels@gmail.com> wrote: > Each "percentage" has the form P = (mentions of category X)/(number of mentions). Numerator and denominator are random for each person, so the percentages are actually > ratios: > > ****************************** > use http://fmwww.bc.edu/RePEc/bocode/d/drugs.dta, clear > mrtab inco1-inco7, include title(Sources of income) width(24) > egen sumi = rowtotal(inco*) > ratio inco1/sumi > ***************************** > > Since Abu is knowledgeable about SPSS, I'd appreciate a reference to the confidence interval formulas that SPSS uses when percentages add to more than 100%. (I couldn't find one in the SPSS 16 algorithms manual.) I'd appreciate it also if he would compare the calculation above to the one that SPSS reports. > > Steve > sjsamuels@gmail.com > > > On May 14, 2012, at 8:40 AM, Nick Cox wrote: > > If a program is counting mentions, they are not people. Either way, I stand by what I said. I don't think even "sample size" is well defined for such data, so I don't see how inference is well defined. > > I can't comment on what SPSS does, but I repeat my request. I would be grateful for literature references showing that SPSS, or anybody else, really has a solution for this problem. Just counting mentions regardless of where they come from sounds somewhere between dubious and fallacious to me. > > The author of -mrtab- is Ben Jann, who is not a member of Statalist. If you want his answers, you need to write to him directly. > > Nick > n.j.cox@durham.ac.uk > > Abu Camara > > Thanks Nick. Consider the table below and you want to get the "se" > & "ci"for the responses variable which are in percentages. I was able > to do this for > other survey questions which are not multiple responses. Perhaps the > author might consider > including standard errors & confidence interval generation in his > program. I will have to turn to > SPSS which has the facility. > > --------------------------------------------------------------------------------------------------------. > > mrtab inco1-inco7, include title(Sources of income) width(24) > > Pct. of Pct. of > Sources of income Freq. responses cases > -------------------------------+----------------------------------- > inco1 private support 226 12.83 23.25 > (partner, family, > friends) > inco2 public support 607 34.47 62.45 > (unemployment insurance, > social benefits) > inco3 drug dealing 293 16.64 30.14 > inco4 housebreaking, theft, 50 2.84 5.14 > robbery > inco5 prostitution 82 4.66 8.44 > inco6 "mischeln"/begging 151 8.57 15.53 > inco7 legal occupation 352 19.99 36.21 > -------------------------------+----------------------------------- > Total 1761 100.00 181.17 > > > On 14 May 2012 14:35, Nick Cox <n.j.cox@durham.ac.uk> wrote: >> I don't really have further comments. I was half-assuming that you know exactly what you seek, but if so you are not spelling it out. >> >> As I see it, you would need to specify what data generation process you expect to apply and e.g. how confidence intervals are to be defined and calculated. >> >> For example, if the question is mode of transport to work and the answers look like >> >> Car >> Car, train, walk >> Walk >> Yak >> Horse >> Camel >> Personal helicopter >> ... >> >> it is not clear to me what meaning there could be to a standard error around the percent of people who say "walk". If the principle is that people can specify a variety of answers, the associated data generation process seems elusive to me. You can always count "mentions" rather than "people" but the inference for that I don't think is obvious. >> >> So, I don't think you can blame Stata for neglecting this area unless you can point to literature in which the logic is explained. >> >> Nick >> n.j.cox@durham.ac.uk >> >> Abu Camara >> >> Hi Nick, >> >> Thanks for the reply. >> I have no idea of writing my own program for "mrtab" to compute "se" & >> "ci". Further help/suggestion would be appreciated. >> Official Stata appears to be weak in complex tabulation. >> Abu. >> >> On 14 May 2012 12:18, Nick Cox <njcoxstata@gmail.com> wrote: >>> SJ-5-1 st0082 . . . . . . . . . . . . . . . Tabulation of multiple responses >>> (help _mrsvmat, mrgraph, mrtab if installed) . . . . . . . . B. Jann >>> Q1/05 SJ 5(1):92--122 >>> introduces new commands for the computation of one- and >>> two-way tables of multiple responses >>> >>> You are correct, I think. -mrtab- doesn't provide these, so you may >>> need to write your own program. >>> >>> Nick >>> >>> On Mon, May 14, 2012 at 10:09 AM, Abu Camara <abucamara@gmail.com> wrote: >>> >>>> I am running one and two way tables of multiple response using the >>>> user-written command "mrtab" (Stata 11.2). I tried to generate both >>>> standard errors and >>>> confidence intervals for tables of percentages but I could not find >>>> this as an option. > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ -- Best Wishes, Abu Camara * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: SE and CI by mrtab***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: SE and CI by mrtab***From:*Abu Camara <abucamara@gmail.com>

**Re: st: SE and CI by mrtab***From:*Nick Cox <njcoxstata@gmail.com>

**Re: st: SE and CI by mrtab***From:*Abu Camara <abucamara@gmail.com>

**RE: st: SE and CI by mrtab***From:*Nick Cox <n.j.cox@durham.ac.uk>

**Re: st: SE and CI by mrtab***From:*Abu Camara <abucamara@gmail.com>

**RE: st: SE and CI by mrtab***From:*Nick Cox <n.j.cox@durham.ac.uk>

**Re: st: SE and CI by mrtab***From:*Steve Samuels <sjsamuels@gmail.com>

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