LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (September 2011)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:   Thu, 29 Sep 2011 19:42:14 +0200
Reply-To:   Marta García-Granero <mgarciagranero@gmail.com>
Sender:   "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:   Marta García-Granero <mgarciagranero@gmail.com>
Subject:   Re: statistical differences between products evaluation using incomplete block design
In-Reply-To:   <005d01cc7e8b$a27d3410$e7779c30$@isracenter.com>
Content-Type:   text/plain; charset=ISO-8859-1; format=flowed

Hi Alexandra, please address your questions to the whole list.

What do you mean by "help interpreting the results"? You should run a UNIANOVA with your data as as showed you in the example I sent. I forgot to add post-hoc pairwise comparisons, like Tukey, BTW.

Regards, Marta GG

El 29/09/2011 11:39, Alexandra Chirilov escribió: > Dear Marta, > > Could you be so kind in order to help me interpreting the results? > > > -----Original Message----- > From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of > Marta García-Granero > Sent: Thursday, September 29, 2011 12:17 PM > To: SPSSX-L@LISTSERV.UGA.EDU > Subject: Re: statistical differences between products evaluation using > incomplete block design > > El 29/09/2011 9:53, Alexandra Chirilov escribió: >> Dear list, >> >> I have a problem...one of our client wants to evaluate 6 products in a > CLT! >> We propose him a balance incomplete block design (BIBD) (3 products >> per respondents). I generate a quite balance design (D-efficiency = 0.8). >> >> I have never used before BIBD (I used only complete design) and I >> don't have any idea how to statistically compare the products' >> evaluation? What statistical test should I use in order to say that >> product A is better perceived than product B (e.g.: 8.97 significantly > higher than 8.80)? > Hi Alexandra: > > Time ago I managed to replicate the results for this balanced incomplete > block design I found in a book, using SPSS: > > Fert. Bl.1 Bl.2 Bl.3 Bl.4 Bl.5 > F1 94 96 100 92 - > F2 95 75 76 - 92 > F3 76 100 - 97 98 > F4 94 - 102 93 96 > F5 - 75 91 86 95 > > * Dataset * > data list list/Block Fert Yield (3 F8.0). > begin data > 1 1 94 > 2 1 96 > 3 1 100 > 4 1 92 > 1 2 95 > 2 2 75 > 3 2 76 > 5 2 92 > 1 3 76 > 2 3 100 > 4 3 97 > 5 3 98 > 1 4 94 > 3 4 102 > 4 4 93 > 5 4 96 > 2 5 75 > 3 5 91 > 4 5 86 > 5 5 95 > end data. > > *Analysis *. > UNIANOVA > Yield BY Fert Block > /RANDOM = Block > /METHOD = SSTYPE(1) > /INTERCEPT = INCLUDE > /DESIGN = Block Fert. > > It is important: > > - Use SSTYPE(1) instead of the default method - SSTYPE(3) > - The order of both factors in "/DESIGN" (last line) is blocks first, then > treatments > > HTH, > Marta GG > > ===================== > 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 > >

===================== 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


Back to: Top of message | Previous page | Main SPSSX-L page