Re: proportions: (a,b,c)/3 vs d?

Posted by Bruce Weaver on Nov 05, 2014; 9:40pm
URL: http://spssx-discussion.165.s1.nabble.com/proportions-a-b-c-3-vs-d-tp5727795p5727810.html

It sounds to me like you want a chi-square goodness of fit (GOF) test.  But I cannot yet work out what your expected frequencies are under the null hypothesis.  IF the null stated equal proportions in the 4 categories, it would be something like this, I think, with the second test using NewCat being the one that contrasts 1-3 vs 4.  

DATA LIST LIST /Category Kount(2F5.0) .
BEGIN DATA.
1 13
2  2
3 11
4 85
END DATA.

WEIGHT by Kount.
FREQUENCIES Category.

* Chi-square GOF test with all 4 categories,
* and a null hypothesis stating that 25% of
* the observations fall in each category.
NPAR TESTS
  /CHISQUARE=Category
  /EXPECTED= .25 .25 .25 .25
  /STATISTICS  DESCRIPTIVES
  /MISSING ANALYSIS.

RECODE Category (1 2 3 = 1)(4=2) INTO NewCat.
FORMATS NewCat(F1).
FREQUENCIES NewCat.

* Chi-square GOF test with catgegories 1-3
* combined vs category 4, and a null hypothesis
* stating that 75% of the cases fall in categories
* 1-3 and 25% fall in category 4.  
NPAR TESTS
  /CHISQUARE=NewCat
  /EXPECTED= .75 .25
  /STATISTICS  DESCRIPTIVES
  /MISSING ANALYSIS.

But as I said, I'm not at all sure that your null specifies equal proportions in the 4 categories.  

HTH.

Salbod wrote

Hi Art, 2/111 = .018.

I might not be asking the right question. One hundred and eleven students heard an actor give a video message and selected the emotional tone of the message.  The message was a single sentence. The actor had been given the intent message. I want to test whether the IV was working. I thought a contrast within each message should do the trick? Is there another way to skin the cat?

--Steve

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Art Kendall
Sent: Wednesday, November 05, 2014 11:59 AM
To: [hidden email]
Subject: Re: proportions: (a,b,c)/3 vs d?

How did you get a proortion of .018 with an n of 2?
0/2 =0, 1/2=.5 2/2=1.0



-----
Art Kendall
Social Research Consultants
--
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