Login  Register

Re: statistical differences between products evaluation using incomplete block design

Posted by Marta Garcia-Granero on Sep 29, 2011; 5:42pm
URL: http://spssx-discussion.165.s1.nabble.com/statistical-differences-between-products-evaluation-using-incomplete-block-design-tp4852186p4854155.html

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:[hidden email]] On Behalf Of
> Marta García-Granero
> Sent: Thursday, September 29, 2011 12:17 PM
> To: [hidden email]
> 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
> [hidden email] (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
[hidden email] (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