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Re: st: FW: ICC and loneway


From   JOHN ANTONAKIS <[email protected]>
To   [email protected]
Subject   Re: st: FW: ICC and loneway
Date   Thu, 15 Jan 2009 16:44:55 +0100

I forgot to mention, try also -findit concord-. Concord takes the data in wide format and gives you other statistics too (regarding agreement).

Best,
J.

____________________________________________________

Prof. John Antonakis
Associate Dean
Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland

Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305

http://www.hec.unil.ch/people/jantonakis&cl=en
____________________________________________________



On 15.01.2009 16:20, JOHN ANTONAKIS wrote:
> You should have the data in the long format for this to work, with dummy (indicator) variable for x1 (=0) and x2(=1), not in the wide format as you do now. Type -help loneway- to see the example they use. To reshape the data look at the -reshape- command.
>
> HTH,
> John.
>
> ____________________________________________________
>
> Prof. John Antonakis
> Associate Dean
> Faculty of Business and Economics
> University of Lausanne
> Internef #618
> CH-1015 Lausanne-Dorigny
> Switzerland
>
> Tel ++41 (0)21 692-3438
> Fax ++41 (0)21 692-3305
>
> http://www.hec.unil.ch/people/jantonakis&cl=en
> ____________________________________________________
>
>
>
> On 15.01.2009 13:56, Sham Lal wrote:
>> Dear Statlisters
>>
>> I am looking to compare the ratings of pain between two observers x1 x2 and am using the loneway command to produce ICC's. However, I don't completely believe that loneway is producing what I require. My data is organised as follows:
>>
>> Idno    pain_x1     pain_x2
>> A1        53                   74
>> A2        62                   23
>> B3        15                   12
>> B5         86                  52
>> The output after running loneway pain_x1 pain_x2 is as follows:
>> One-way Analysis of Variance for pain_x1:
>>                                               Number of obs =       203
>>                                                   R-squared =    0.9025
>>
>> Source SS df MS F Prob > F >> ------------------------------------------------------------------------- >> Between pain_x2 135346.15 68 1990.3846 18.25 0.0000
>> Within pain_x2          14613.739    134    109.05775
>> -------------------------------------------------------------------------
>> Total                  149959.89    202     742.3757
>>
>> Intraclass Asy. correlation S.E. [95% Conf. Interval]
>>          ------------------------------------------------
>>             0.85839     0.03899       0.78197     0.93481
>>
>> This is comparing the variation between just pain_x2, I fear this is not correct?
>> Any help would be appreciated
>>
>> Sham
>>
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