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Date:         Thu, 16 Jun 2011 10:23:56 -0400
Reply-To:     Gene Maguin <emaguin@buffalo.edu>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Gene Maguin <emaguin@buffalo.edu>
Subject:      Re: help me
In-Reply-To:  <SNT106-W2326F9120DCC779F64A715B46A0@phx.gbl>
Content-Type: multipart/alternative;

Hi Margot, No, G power won't work. I don't have enough experience to offer any more advice. I don't understand the necessity of a post-analysis power computation. I saw that Ryan Black posted a reply and i think his suggestions are very much worth considering. However, if a power computation is absolutely required you will have to find somebody where you are to do the computation for you. Sorry, Gene Maguin _____

From: MARGOT mh [mailto:magimarin@hotmail.com] Sent: Thursday, June 16, 2011 9:54 AM To: emaguin@buffalo.edu; spssx-l@listserv.uga.edu Subject: RE: help me

Dear Gene, I have got 3 repeated measurements per subject (correlated observations), and while they are in clusters. I have got a longitudinal study with 3 measurements are also subject groups. Then I donīt use G power???... Just thank you very much for your feedback. Maga

> Date: Wed, 15 Jun 2011 17:16:25 -0400 > From: emaguin@buffalo.edu > Subject: Re: help me > To: SPSSX-L@LISTSERV.UGA.EDU > > This is a multi-part message in MIME format. > > ------=_NextPart_000_002D_01CC2B7F.F4FA7F40 > Content-Type: text/plain; > charset="us-ascii" > Content-Transfer-Encoding: 7bit > > Maga, > > Why are you using GEE? What is there about your analysis or dataset that > requires you to use GEE? > > If you really have to use GEE, then the little program i mentioned won't > work and i don't know what type of software would be required to compute > power. > > Gene Maguin > > _____ > > From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of > MARGOT mh > Sent: Wednesday, June 15, 2011 5:01 PM > To: SPSSX-L@LISTSERV.UGA.EDU > Subject: Re: help me > > > Dear Gene and Evan, > > Thank very much for your help me. > > I got a model (GEE) with 5 independent variables (2 and 3 were categories > were continuous covariates), these are all significant. Not consider > covariates did not influence my model. As this analysis is an analysis of a > secondary database, I have requested that I submit the statistical power. My > English is not very good, I hope I could make myself understood. > My understanding is that the sample is large gives a high statistical power, > so I do not understand is referred to the effect size. > > Thanks in advance. > > Maga > > > > > Date: Wed, 15 Jun 2011 11:45:37 -0500 > > From: EHarrington@thechicagoschool.edu > > Subject: Re: help me > > To: SPSSX-L@LISTSERV.UGA.EDU > > > > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_ > > Content-Type: text/plain; charset="iso-8859-1" > > Content-Transfer-Encoding: quoted-printable > > > > I might add to Gene's comments that large sample sizes yield high power > (de= > > pending on the effect size in question). Assuming that the real population > = > > effect size values of your predictors are moderate in magnitude (or > larger)= > > then you should have high power with that sample size. > > > > Your question seems to be closer in meaning to a computation of the > confide= > > nce intervals around your estimates. Large samples yield narrow confidence > = > > intervals, which one could think as having greater precision in the > estimat= > > e of the where the population parameters are. Again, this does not answer > t= > > he "validity" question, for the same reasons Gene outlined. > > > > > > Evan Harrington, Ph.D. > > Department of Forensic Psychology > > The Chicago School of Professional Psychology > > 325 N. Wells Street > > Chicago, IL 60654 > > ________________________________ > > From: SPSSX(r) Discussion [SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Gene > Magu= > > in [emaguin@buffalo.edu] > > Sent: Wednesday, June 15, 2011 9:22 AM > > To: SPSSX-L@LISTSERV.UGA.EDU > > Subject: Re: help me > > > > Maga, > > > > It sounds like you did a logistic regression with 5 predictors > (independent= > > variables) using data from a sample with an N of 600. You now want to > comp= > > ute power to show that your results are valid. I want to make two > comments.= > > One comment is about the power computation specifically. First of all, > you= > > can not do what you want using spss. You have to find something else. Do > a= > > search on 'statistical power logistic regression' or a set of search > terms= > > like that. One link is to a program called G*Power 3. I've never used > this= > > program, which seems to be free, but i think it could be a good option > for= > > you. The site is: > http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpo= > > wer3/ > > > > That may get you through the power computation question itself. My second > c= > > omment is about this statement "As I can estimate the statistical power to > = > > conclude that my results are valid." I'm guessing that English is not your > = > > first language so there may be word choice issues. A high power number is > n= > > ot going to establish 'validity'. A high power number will show the degree > = > > of confidence that you can have > > that you would have found a relationship of the specified size it it were > r= > > eally present. 'Validity' depends on the correctness of your experimental > d= > > esign and statistical analysis logic. > > > > Gene Maguin > > > > > > > > ________________________________ > > From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of > MA= > > RGOT mh > > Sent: Tuesday, June 14, 2011 4:41 PM > > To: SPSSX-L@LISTSERV.UGA.EDU > > Subject: help me > > > > Dear all, > > > > I have a database with 600 subjects who carried out, a secondary > statistica= > > l analysis with logistic regression with 5 independent variables. As I can > = > > estimate the statistical power to conclude that my results are valid. > > > > Thank you very much for your answers > > > > Maga > > > > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_ > > Content-Type: text/html; charset="iso-8859-1" > > Content-Transfer-Encoding: quoted-printable > > > > <html dir=3D"ltr"><head> > > <meta http-equiv=3D"Content-Type" content=3D"text/html; > charset=3Diso-8859-= > > 1"> > > <style>.hmmessage P { > > PADDING-RIGHT: 0px; PADDING-LEFT: 0px; PADDING-BOTTOM: 0px; MARGIN: 0px; > P= > > ADDING-TOP: 0px > > } > > BODY.hmmessage { > > FONT-SIZE: 10pt; FONT-FAMILY: Tahoma > > } > > </style> > > <meta content=3D"MSHTML 6.00.6000.17037" name=3D"GENERATOR"> > > <style title=3D"owaParaStyle"><!--P { > > MARGIN-TOP: 0px; MARGIN-BOTTOM: 0px > > } > > --></style> > > </head> > > <body class=3D"hmmessage" ocsi=3D"x"> > > <div dir=3D"ltr"><font face=3D"Arial" color=3D"#000000" size=3D"2">I might > = > > add to Gene's comments that large sample sizes yield high power (depending > = > > on the effect size in question). Assuming that the real population effect > s= > > ize values of your predictors are moderate > > in magnitude (or larger) then you should have high power with that sample > = > > size.</font></div> > > <div dir=3D"ltr"><font face=3D"arial"></font>&nbsp;</div> > > <div dir=3D"ltr"><font face=3D"arial">Your question seems to be closer in > m= > > eaning to a computation of the confidence intervals around your estimates. > = > > Large samples yield narrow confidence intervals, which one could think as > h= > > aving greater precision in the estimate > > of the where the population parameters are. Again, this does not answer > th= > > e &quot;validity&quot; question, for the same reasons Gene > outlined.</font>= > > </div> > > <div dir=3D"ltr"><font face=3D"arial"></font>&nbsp;</div> > > <div dir=3D"ltr"><font face=3D"arial"></font>&nbsp;</div> > > <div> > > <div><font face=3D"Arial" size=3D"2">Evan Harrington, Ph.D.</font></div> > > <div><font face=3D"arial" size=3D"2">Department of Forensic > Psychology</fon= > > t></div> > > <div><font face=3D"arial" size=3D"2">The Chicago School of Professional > Psy= > > chology</font></div> > > <div><font face=3D"arial" size=3D"2">325 N. Wells Street</font></div> > > <div><font face=3D"arial" size=3D"2">Chicago, IL 60654</font></div> > > </div> > > <div id=3D"divRpF171723" style=3D"DIRECTION: ltr"> > > <hr tabindex=3D"-1"> > > <font face=3D"Tahoma" size=3D"2"><b>From:</b> SPSSX(r) Discussion > [SPSSX-L@= > > LISTSERV.UGA.EDU] On Behalf Of Gene Maguin [emaguin@buffalo.edu]<br> > > <b>Sent:</b> Wednesday, June 15, 2011 9:22 AM<br> > > <b>To:</b> SPSSX-L@LISTSERV.UGA.EDU<br> > > <b>Subject:</b> Re: help me<br> > > </font><br> > > </div> > > <div></div> > > <div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011">Maga, > > </span></font></div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011"></span></font>&nbsp;</div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011">It sounds like you did a logistic > regression= > > with 5 predictors (independent variables) using data from a sample with > an= > > N of 600. You now want to compute power&nbsp;to > > show that your results are valid.&nbsp;I want to make two comments. > One&nb= > > sp;comment is&nbsp;about the power computation specifically.&nbsp;First of > = > > all, you can not do what you want using spss. You have to find something > el= > > se. > > </span></font><font face=3D"Arial" color=3D"#0000ff"><span > class=3D"3142940= > > 13-15062011">Do a search on 'statistical power logistic regression' or a > se= > > t of search terms like that. One link is to a program called G*Power 3. > > </span></font><font face=3D"Arial" color=3D"#0000ff"><span > class=3D"3142940= > > 13-15062011">I've never used this program, which seems to be > free,&nbsp;but= > > i think it could be a good option for you. The site is: > > </span></font><font face=3D"Arial" color=3D"#0000ff"><span > class=3D"3142940= > > 13-15062011"><a > href=3D"http://www.psycho.uni-duesseldorf.de/abteilungen/aa= > > p/gpower3/" > target=3D"_blank">http://www.psycho.uni-duesseldorf.de/abteilun= > > gen/aap/gpower3/</a>&nbsp; > > </span></font></div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011"></span></font>&nbsp;</div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011">That may get you through the power > computati= > > on question itself. My second comment is about this statement &quot;<font > c= > > olor=3D"#000000">As I can estimate the statistical > > power to conclude that my results are valid.&quot; I'm guessing that > Engli= > > sh is not your first language so there may be word choice issues. A high > po= > > wer number is not going to establish 'validity'. A high power number will > s= > > how the degree of confidence that you > > can have</font></span></font></div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011"><font color=3D"#000000">that you would have > = > > found a relationship of the specified size it it were really present. > 'Vali= > > dity' depends on the correctness of your experimental > > design and statistical analysis logic. </font></span></font></div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011"></span></font>&nbsp;</div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"><spa= > > n class=3D"314294013-15062011">Gene Maguin</span></font></div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"></fo= > > nt>&nbsp;</div> > > <div dir=3D"ltr" align=3D"left"><font face=3D"Arial" > color=3D"#0000ff"></fo= > > nt>&nbsp;</div> > > <font face=3D"Arial" color=3D"#0000ff"></font><br> > > <div class=3D"OutlookMessageHeader" lang=3D"en-us" dir=3D"ltr" > align=3D"lef= > > t"> > > <hr tabindex=3D"-1"> > > <font face=3D"Tahoma"><b>From:</b> SPSSX(r) Discussion > [mailto:SPSSX-L@LIST= > > SERV.UGA.EDU] > > <b>On Behalf Of </b>MARGOT mh<br> > > <b>Sent:</b> Tuesday, June 14, 2011 4:41 PM<br> > > <b>To:</b> SPSSX-L@LISTSERV.UGA.EDU<br> > > <b>Subject:</b> help me<br> > > </font><br> > > </div> > > <div></div> > > <font face=3D"Arial" size=3D"3">Dear all,</font><br> > > <font face=3D"Arial" size=3D"3"></font>&nbsp;<br> > > <p class=3D"MsoNormal" style=3D"MARGIN: 0cm 0cm 0pt; VERTICAL-ALIGN: top; > L= > > INE-HEIGHT: normal"> > > <span lang=3D"EN" style=3D"COLOR: black; FONT-FAMILY: > 'Arial','sans-serif'"= > > ><font size=3D"3">I have a database with 600 subjects who carried out, a > se= > > condary statistical analysis with logistic regression with 5 independent > va= > > riables. As I can estimate the statistical > > power to conclude that my results are valid.</font></span></p> > > <p class=3D"MsoNormal" style=3D"MARGIN: 0cm 0cm 0pt; VERTICAL-ALIGN: top; > L= > > INE-HEIGHT: normal"> > > <span lang=3D"EN" style=3D"COLOR: black; FONT-FAMILY: > 'Arial','sans-serif'"= > > ><br> > > <font size=3D"3">Thank you very much for your answers</font></span><span > la= > > ng=3D"EN-GB" style=3D"FONT-SIZE: 9pt; COLOR: #888888; FONT-FAMILY: > 'Arial',= > > 'sans-serif'"></span></p> > > <font face=3D"Arial" size=3D"3"></font>&nbsp;<br> > > <font face=3D"Arial" size=3D"3">Maga</font><br> > > </div> > > </body> > > </html> > > > > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_-- > > > > ===================== > > To manage your subscription to SPSSX-L, send a message to > > LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the > > command. To leave the list, send the command > > SIGNOFF SPSSX-L > > For a list of commands to manage subscriptions, send the command > > INFO REFCARD > > > ------=_NextPart_000_002D_01CC2B7F.F4FA7F40 > Content-Type: text/html; > charset="us-ascii" > Content-Transfer-Encoding: quoted-printable > > <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> > <HTML><HEAD> > <META content=3D"text/html; charset=3Dus-ascii" = > http-equiv=3DContent-Type> > <STYLE>.hmmessage P { > PADDING-BOTTOM: 0px; MARGIN: 0px; PADDING-LEFT: 0px; PADDING-RIGHT: = > 0px; PADDING-TOP: 0px > } > BODY.hmmessage { > FONT-FAMILY: Tahoma; FONT-SIZE: 10pt > } > </STYLE> > > <META name=3DGENERATOR content=3D"MSHTML 8.00.6001.19088"></HEAD> > <BODY class=3Dhmmessage> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011>Maga, </SPAN></FONT></DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011></SPAN></FONT>&nbsp;</DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011>Why are you using&nbsp;GEE? What is there = > about your=20 > analysis or dataset that requires you to use GEE?</SPAN></FONT></DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011></SPAN></FONT>&nbsp;</DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011>If you really have to use GEE, then the = > little program=20 > i mentioned won't work and i don't know what type of software would be = > required=20 > to compute power. </SPAN></FONT></DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011></SPAN></FONT>&nbsp;</DIV> > <DIV dir=3Dltr align=3Dleft><FONT color=3D#0000ff face=3DArial><SPAN=20 > class=3D604241121-15062011>Gene Maguin</SPAN></FONT></DIV><BR> > <DIV dir=3Dltr lang=3Den-us class=3DOutlookMessageHeader align=3Dleft> > <HR tabIndex=3D-1> > <FONT face=3DTahoma><B>From:</B> SPSSX(r) Discussion=20 > [mailto:SPSSX-L@LISTSERV.UGA.EDU] <B>On Behalf Of </B>MARGOT = > mh<BR><B>Sent:</B>=20 > Wednesday, June 15, 2011 5:01 PM<BR><B>To:</B>=20 > SPSSX-L@LISTSERV.UGA.EDU<BR><B>Subject:</B> Re: help = > me<BR></FONT><BR></DIV> > <DIV></DIV>Dear Gene and Evan,<BR>&nbsp;<BR>Thank very much for your = > help me.=20 > <BR>&nbsp;<BR><SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1079">I</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1080">got</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1081">a model</SPAN> <SPAN class=3D"hps atn"=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1082">(</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1083">GEE</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1084">) with</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1085">5</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1086">independent</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1087">variables</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1088">(2</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1089">and</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1090">3</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1091">were</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1092">categories</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1093">were</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1094">continuous covariates</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1095">)</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1096">,</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1097">these are all</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1098">significant</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1099">.</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1100">Not</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1101">consider</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1102">covariates</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1103">did not influence</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1104">my model</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1105">.</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1106">As</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1107">this</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1108">analysis</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1109">is</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1110">an</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1111">analysis of</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1112">a</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1113">secondary database</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1114">,</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1115">I</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1116">have requested</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1117">that</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1118">I</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1119">submit</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1120">the statistical power</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1121">.</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1122">My</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1123">English</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1124">is not</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1125">very</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1126">good</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1127">,</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1128">I hope I</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1129">could</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1130">make myself understood.</SPAN><BR=20 > closure_uid_gabdcu=3D"1151"><SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1131">My understanding</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1132">is</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1133">that</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1134">the</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1135">sample</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1136">is</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1137">large</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1138">gives</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1139">a</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1140">high</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1141">statistical power</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1142">,</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1143">so</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1144">I do not understand</SPAN> <SPAN class=3Dhps = > > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1145">is</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1146">referred to</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1147">the</SPAN> <SPAN class=3Dhps=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1148">effect size</SPAN><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1149">.</SPAN><BR><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1149"></SPAN>&nbsp;<BR><SPAN=20 > title=3D"Haz clic para obtener otras posibles traducciones"=20 > closure_uid_gabdcu=3D"1149">Thanks in advance.<BR><BR>Maga</SPAN><BR><BR = > > closure_uid_gabdcu=3D"1152"><BR>&nbsp;<BR>&gt; Date: Wed, 15 Jun 2011 = > 11:45:37=20 > -0500<BR>&gt; From: EHarrington@thechicagoschool.edu<BR>&gt; Subject: = > Re: help=20 > me<BR>&gt; To: SPSSX-L@LISTSERV.UGA.EDU<BR>&gt; <BR>&gt;=20 > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_<BR>&gt;=20 > Content-Type: text/plain; charset=3D"iso-8859-1"<BR>&gt;=20 > Content-Transfer-Encoding: quoted-printable<BR>&gt; <BR>&gt; I might add = > to=20 > Gene's comments that large sample sizes yield high power (de=3D<BR>&gt; = > pending on=20 > the effect size in question). Assuming that the real population = > =3D<BR>&gt; effect=20 > size values of your predictors are moderate in magnitude (or = > larger)=3D<BR>&gt;=20 > then you should have high power with that sample size.<BR>&gt; <BR>&gt; = > Your=20 > question seems to be closer in meaning to a computation of the = > confide=3D<BR>&gt;=20 > nce intervals around your estimates. Large samples yield narrow = > confidence=20 > =3D<BR>&gt; intervals, which one could think as having greater precision = > in the=20 > estimat=3D<BR>&gt; e of the where the population parameters are. Again, = > this does=20 > not answer t=3D<BR>&gt; he "validity" question, for the same reasons = > Gene=20 > outlined.<BR>&gt; <BR>&gt; <BR>&gt; Evan Harrington, Ph.D.<BR>&gt; = > Department of=20 > Forensic Psychology<BR>&gt; The Chicago School of Professional=20 > Psychology<BR>&gt; 325 N. Wells Street<BR>&gt; Chicago, IL 60654<BR>&gt; = > > ________________________________<BR>&gt; From: SPSSX(r) Discussion=20 > [SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Gene Magu=3D<BR>&gt; in=20 > [emaguin@buffalo.edu]<BR>&gt; Sent: Wednesday, June 15, 2011 9:22 = > AM<BR>&gt; To:=20 > SPSSX-L@LISTSERV.UGA.EDU<BR>&gt; Subject: Re: help me<BR>&gt; <BR>&gt;=20 > Maga,<BR>&gt; <BR>&gt; It sounds like you did a logistic regression with = > 5=20 > predictors (independent=3D<BR>&gt; variables) using data from a sample = > with an N=20 > of 600. You now want to comp=3D<BR>&gt; ute power to show that your = > results are=20 > valid. I want to make two comments.=3D<BR>&gt; One comment is about the = > power=20 > computation specifically. First of all, you=3D<BR>&gt; can not do what = > you want=20 > using spss. You have to find something else. Do a=3D<BR>&gt; search on=20 > 'statistical power logistic regression' or a set of search = > terms=3D<BR>&gt; like=20 > that. One link is to a program called G*Power 3. I've never used = > this=3D<BR>&gt;=20 > program, which seems to be free, but i think it could be a good option=20 > for=3D<BR>&gt; you. The site is:=20 > http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpo=3D<BR>&gt; = > wer3/<BR>&gt;=20 > <BR>&gt; That may get you through the power computation question itself. = > My=20 > second c=3D<BR>&gt; omment is about this statement "As I can estimate = > the=20 > statistical power to =3D<BR>&gt; conclude that my results are valid." = > I'm guessing=20 > that English is not your =3D<BR>&gt; first language so there may be word = > choice=20 > issues. A high power number is n=3D<BR>&gt; ot going to establish = > 'validity'. A=20 > high power number will show the degree =3D<BR>&gt; of confidence that = > you can=20 > have<BR>&gt; that you would have found a relationship of the specified = > size it=20 > it were r=3D<BR>&gt; eally present. 'Validity' depends on the = > correctness of your=20 > experimental d=3D<BR>&gt; esign and statistical analysis logic.<BR>&gt; = > <BR>&gt;=20 > Gene Maguin<BR>&gt; <BR>&gt; <BR>&gt; <BR>&gt;=20 > ________________________________<BR>&gt; From: SPSSX(r) Discussion=20 > [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of MA=3D<BR>&gt; RGOT = > mh<BR>&gt; Sent:=20 > Tuesday, June 14, 2011 4:41 PM<BR>&gt; To: = > SPSSX-L@LISTSERV.UGA.EDU<BR>&gt;=20 > Subject: help me<BR>&gt; <BR>&gt; Dear all,<BR>&gt; <BR>&gt; I have a = > database=20 > with 600 subjects who carried out, a secondary statistica=3D<BR>&gt; l = > analysis=20 > with logistic regression with 5 independent variables. As I can = > =3D<BR>&gt;=20 > estimate the statistical power to conclude that my results are = > valid.<BR>&gt;=20 > <BR>&gt; Thank you very much for your answers<BR>&gt; <BR>&gt; = > Maga<BR>&gt;=20 > <BR>&gt; = > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_<BR>&gt;=20 > Content-Type: text/html; charset=3D"iso-8859-1"<BR>&gt; = > Content-Transfer-Encoding:=20 > quoted-printable<BR>&gt; <BR>&gt; &lt;html = > dir=3D3D"ltr"&gt;&lt;head&gt;<BR>&gt;=20 > &lt;meta http-equiv=3D3D"Content-Type" content=3D3D"text/html;=20 > charset=3D3Diso-8859-=3D<BR>&gt; 1"&gt;<BR>&gt; &lt;style&gt;.hmmessage = > P {<BR>&gt;=20 > PADDING-RIGHT: 0px; PADDING-LEFT: 0px; PADDING-BOTTOM: 0px; MARGIN: 0px; = > > P=3D<BR>&gt; ADDING-TOP: 0px<BR>&gt; }<BR>&gt; BODY.hmmessage {<BR>&gt; = > FONT-SIZE:=20 > 10pt; FONT-FAMILY: Tahoma<BR>&gt; }<BR>&gt; &lt;/style&gt;<BR>&gt; = > &lt;meta=20 > content=3D3D"MSHTML 6.00.6000.17037" name=3D3D"GENERATOR"&gt;<BR>&gt; = > &lt;style=20 > title=3D3D"owaParaStyle"&gt;&lt;!--P {<BR>&gt; MARGIN-TOP: 0px; = > MARGIN-BOTTOM:=20 > 0px<BR>&gt; }<BR>&gt; --&gt;&lt;/style&gt;<BR>&gt; &lt;/head&gt;<BR>&gt; = > > &lt;body class=3D3D"hmmessage" ocsi=3D3D"x"&gt;<BR>&gt; &lt;div=20 > dir=3D3D"ltr"&gt;&lt;font face=3D3D"Arial" color=3D3D"#000000" = > size=3D3D"2"&gt;I might=20 > =3D<BR>&gt; add to Gene's comments that large sample sizes yield high = > power=20 > (depending =3D<BR>&gt; on the effect size in question). Assuming that = > the real=20 > population effect s=3D<BR>&gt; ize values of your predictors are = > moderate<BR>&gt;=20 > in magnitude (or larger) then you should have high power with that = > sample=20 > =3D<BR>&gt; size.&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div = > dir=3D3D"ltr"&gt;&lt;font=20 > face=3D3D"arial"&gt;&lt;/font&gt;&amp;nbsp;&lt;/div&gt;<BR>&gt; &lt;div=20 > dir=3D3D"ltr"&gt;&lt;font face=3D3D"arial"&gt;Your question seems to be = > closer in=20 > m=3D<BR>&gt; eaning to a computation of the confidence intervals around = > your=20 > estimates. =3D<BR>&gt; Large samples yield narrow confidence intervals, = > which one=20 > could think as h=3D<BR>&gt; aving greater precision in the = > estimate<BR>&gt; of the=20 > where the population parameters are. Again, this does not answer = > th=3D<BR>&gt; e=20 > &amp;quot;validity&amp;quot; question, for the same reasons Gene=20 > outlined.&lt;/font&gt;=3D<BR>&gt; &lt;/div&gt;<BR>&gt; &lt;div=20 > dir=3D3D"ltr"&gt;&lt;font=20 > face=3D3D"arial"&gt;&lt;/font&gt;&amp;nbsp;&lt;/div&gt;<BR>&gt; &lt;div=20 > dir=3D3D"ltr"&gt;&lt;font=20 > face=3D3D"arial"&gt;&lt;/font&gt;&amp;nbsp;&lt;/div&gt;<BR>&gt;=20 > &lt;div&gt;<BR>&gt; &lt;div&gt;&lt;font face=3D3D"Arial" = > size=3D3D"2"&gt;Evan=20 > Harrington, Ph.D.&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div&gt;&lt;font=20 > face=3D3D"arial" size=3D3D"2"&gt;Department of Forensic = > Psychology&lt;/fon=3D<BR>&gt;=20 > t&gt;&lt;/div&gt;<BR>&gt; &lt;div&gt;&lt;font face=3D3D"arial" = > size=3D3D"2"&gt;The=20 > Chicago School of Professional Psy=3D<BR>&gt;=20 > chology&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div&gt;&lt;font = > face=3D3D"arial"=20 > size=3D3D"2"&gt;325 N. Wells Street&lt;/font&gt;&lt;/div&gt;<BR>&gt;=20 > &lt;div&gt;&lt;font face=3D3D"arial" size=3D3D"2"&gt;Chicago, IL=20 > 60654&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;/div&gt;<BR>&gt; &lt;div=20 > id=3D3D"divRpF171723" style=3D3D"DIRECTION: ltr"&gt;<BR>&gt; &lt;hr=20 > tabindex=3D3D"-1"&gt;<BR>&gt; &lt;font face=3D3D"Tahoma"=20 > size=3D3D"2"&gt;&lt;b&gt;From:&lt;/b&gt; SPSSX(r) Discussion = > [SPSSX-L@=3D<BR>&gt;=20 > LISTSERV.UGA.EDU] On Behalf Of Gene Maguin=20 > [emaguin@buffalo.edu]&lt;br&gt;<BR>&gt; &lt;b&gt;Sent:&lt;/b&gt; = > Wednesday, June=20 > 15, 2011 9:22 AM&lt;br&gt;<BR>&gt; &lt;b&gt;To:&lt;/b&gt;=20 > SPSSX-L@LISTSERV.UGA.EDU&lt;br&gt;<BR>&gt; &lt;b&gt;Subject:&lt;/b&gt; = > Re: help=20 > me&lt;br&gt;<BR>&gt; &lt;/font&gt;&lt;br&gt;<BR>&gt; = > &lt;/div&gt;<BR>&gt;=20 > &lt;div&gt;&lt;/div&gt;<BR>&gt; &lt;div&gt;<BR>&gt; &lt;div = > dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt;=20 > n class=3D3D"314294013-15062011"&gt;Maga,<BR>&gt;=20 > &lt;/span&gt;&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt;=20 > n=20 > class=3D3D"314294013-15062011"&gt;&lt;/span&gt;&lt;/font&gt;&amp;nbsp;&lt= > ;/div&gt;<BR>&gt;=20 > &lt;div dir=3D3D"ltr" align=3D3D"left"&gt;&lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt; n = > class=3D3D"314294013-15062011"&gt;It=20 > sounds like you did a logistic regression=3D<BR>&gt; with 5 predictors=20 > (independent variables) using data from a sample with an=3D<BR>&gt; N of = > 600. You=20 > now want to compute power&amp;nbsp;to<BR>&gt; show that your results are = > > valid.&amp;nbsp;I want to make two comments. One&amp;nb=3D<BR>&gt; = > sp;comment=20 > is&amp;nbsp;about the power computation specifically.&amp;nbsp;First of=20 > =3D<BR>&gt; all, you can not do what you want using spss. You have to = > find=20 > something el=3D<BR>&gt; se.<BR>&gt; &lt;/span&gt;&lt;/font&gt;&lt;font=20 > face=3D3D"Arial" color=3D3D"#0000ff"&gt;&lt;span = > class=3D3D"3142940=3D<BR>&gt;=20 > 13-15062011"&gt;Do a search on 'statistical power logistic regression' = > or a=20 > se=3D<BR>&gt; t of search terms like that. One link is to a program = > called G*Power=20 > 3.<BR>&gt; &lt;/span&gt;&lt;/font&gt;&lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;span class=3D3D"3142940=3D<BR>&gt; = > 13-15062011"&gt;I've=20 > never used this program, which seems to be free,&amp;nbsp;but=3D<BR>&gt; = > i think=20 > it could be a good option for you. The site is:<BR>&gt;=20 > &lt;/span&gt;&lt;/font&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;span=20 > class=3D3D"3142940=3D<BR>&gt; 13-15062011"&gt;&lt;a=20 > href=3D3D"http://www.psycho.uni-duesseldorf.de/abteilungen/aa=3D<BR>&gt; = > p/gpower3/"=20 > target=3D3D"_blank"&gt;http://www.psycho.uni-duesseldorf.de/abteilun=3D<B= > R>&gt;=20 > gen/aap/gpower3/&lt;/a&gt;&amp;nbsp;<BR>&gt;=20 > &lt;/span&gt;&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt;=20 > n=20 > class=3D3D"314294013-15062011"&gt;&lt;/span&gt;&lt;/font&gt;&amp;nbsp;&lt= > ;/div&gt;<BR>&gt;=20 > &lt;div dir=3D3D"ltr" align=3D3D"left"&gt;&lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt; n = > class=3D3D"314294013-15062011"&gt;That may=20 > get you through the power computati=3D<BR>&gt; on question itself. My = > second=20 > comment is about this statement &amp;quot;&lt;font c=3D<BR>&gt;=20 > olor=3D3D"#000000"&gt;As I can estimate the statistical<BR>&gt; power to = > conclude=20 > that my results are valid.&amp;quot; I'm guessing that Engli=3D<BR>&gt; = > sh is not=20 > your first language so there may be word choice issues. A high = > po=3D<BR>&gt; wer=20 > number is not going to establish 'validity'. A high power number will = > s=3D<BR>&gt;=20 > how the degree of confidence that you<BR>&gt; can=20 > have&lt;/font&gt;&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div=20 > dir=3D3D"ltr" align=3D3D"left"&gt;&lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt; n = > class=3D3D"314294013-15062011"&gt;&lt;font=20 > color=3D3D"#000000"&gt;that you would have =3D<BR>&gt; found a = > relationship of the=20 > specified size it it were really present. 'Vali=3D<BR>&gt; dity' depends = > on the=20 > correctness of your experimental<BR>&gt; design and statistical analysis = > logic.=20 > &lt;/font&gt;&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div = > dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt;=20 > n=20 > class=3D3D"314294013-15062011"&gt;&lt;/span&gt;&lt;/font&gt;&amp;nbsp;&lt= > ;/div&gt;<BR>&gt;=20 > &lt;div dir=3D3D"ltr" align=3D3D"left"&gt;&lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;spa=3D<BR>&gt; n = > class=3D3D"314294013-15062011"&gt;Gene=20 > Maguin&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;<BR>&gt; &lt;div = > dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;/fo=3D<BR>&gt;=20 > nt&gt;&amp;nbsp;&lt;/div&gt;<BR>&gt; &lt;div dir=3D3D"ltr"=20 > align=3D3D"left"&gt;&lt;font face=3D3D"Arial" = > color=3D3D"#0000ff"&gt;&lt;/fo=3D<BR>&gt;=20 > nt&gt;&amp;nbsp;&lt;/div&gt;<BR>&gt; &lt;font face=3D3D"Arial"=20 > color=3D3D"#0000ff"&gt;&lt;/font&gt;&lt;br&gt;<BR>&gt; &lt;div=20 > class=3D3D"OutlookMessageHeader" lang=3D3D"en-us" dir=3D3D"ltr" = > align=3D3D"lef=3D<BR>&gt;=20 > t"&gt;<BR>&gt; &lt;hr tabindex=3D3D"-1"&gt;<BR>&gt; &lt;font=20 > face=3D3D"Tahoma"&gt;&lt;b&gt;From:&lt;/b&gt; SPSSX(r) Discussion=20 > [mailto:SPSSX-L@LIST=3D<BR>&gt; SERV.UGA.EDU]<BR>&gt; &lt;b&gt;On Behalf = > Of=20 > &lt;/b&gt;MARGOT mh&lt;br&gt;<BR>&gt; &lt;b&gt;Sent:&lt;/b&gt; Tuesday, = > June 14,=20 > 2011 4:41 PM&lt;br&gt;<BR>&gt; &lt;b&gt;To:&lt;/b&gt;=20 > SPSSX-L@LISTSERV.UGA.EDU&lt;br&gt;<BR>&gt; &lt;b&gt;Subject:&lt;/b&gt; = > help=20 > me&lt;br&gt;<BR>&gt; &lt;/font&gt;&lt;br&gt;<BR>&gt; = > &lt;/div&gt;<BR>&gt;=20 > &lt;div&gt;&lt;/div&gt;<BR>&gt; &lt;font face=3D3D"Arial" = > size=3D3D"3"&gt;Dear=20 > all,&lt;/font&gt;&lt;br&gt;<BR>&gt; &lt;font face=3D3D"Arial"=20 > size=3D3D"3"&gt;&lt;/font&gt;&amp;nbsp;&lt;br&gt;<BR>&gt; &lt;p=20 > class=3D3D"MsoNormal" style=3D3D"MARGIN: 0cm 0cm 0pt; VERTICAL-ALIGN: = > top;=20 > L=3D<BR>&gt; INE-HEIGHT: normal"&gt;<BR>&gt; &lt;span lang=3D3D"EN" = > style=3D3D"COLOR:=20 > black; FONT-FAMILY: 'Arial','sans-serif'"=3D<BR>&gt; &gt;&lt;font = > size=3D3D"3"&gt;I=20 > have a database with 600 subjects who carried out, a se=3D<BR>&gt; = > condary=20 > statistical analysis with logistic regression with 5 independent = > va=3D<BR>&gt;=20 > riables. As I can estimate the statistical<BR>&gt; power to conclude = > that my=20 > results are valid.&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;<BR>&gt; &lt;p=20 > class=3D3D"MsoNormal" style=3D3D"MARGIN: 0cm 0cm 0pt; VERTICAL-ALIGN: = > top;=20 > L=3D<BR>&gt; INE-HEIGHT: normal"&gt;<BR>&gt; &lt;span lang=3D3D"EN" = > style=3D3D"COLOR:=20 > black; FONT-FAMILY: 'Arial','sans-serif'"=3D<BR>&gt; = > &gt;&lt;br&gt;<BR>&gt;=20 > &lt;font size=3D3D"3"&gt;Thank you very much for your=20 > answers&lt;/font&gt;&lt;/span&gt;&lt;span la=3D<BR>&gt; ng=3D3D"EN-GB"=20 > style=3D3D"FONT-SIZE: 9pt; COLOR: #888888; FONT-FAMILY: = > 'Arial',=3D<BR>&gt;=20 > 'sans-serif'"&gt;&lt;/span&gt;&lt;/p&gt;<BR>&gt; &lt;font = > face=3D3D"Arial"=20 > size=3D3D"3"&gt;&lt;/font&gt;&amp;nbsp;&lt;br&gt;<BR>&gt; &lt;font = > face=3D3D"Arial"=20 > size=3D3D"3"&gt;Maga&lt;/font&gt;&lt;br&gt;<BR>&gt; &lt;/div&gt;<BR>&gt; = > > &lt;/body&gt;<BR>&gt; &lt;/html&gt;<BR>&gt; <BR>&gt;=20 > --_000_5F28CD1102E6274BA7BE4796B8EA90F50A46047431TCSTCSESORG_--<BR>&gt; = > <BR>&gt;=20 > =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D<BR>&gt; = > To manage your subscription to SPSSX-L, send a=20 > message to<BR>&gt; LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no = > body text=20 > except the<BR>&gt; command. To leave the list, send the command<BR>&gt; = > SIGNOFF=20 > SPSSX-L<BR>&gt; For a list of commands to manage subscriptions, send the = > > command<BR>&gt; INFO REFCARD<BR></BODY></HTML> > > ------=_NextPart_000_002D_01CC2B7F.F4FA7F40-- > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD


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