HI
By compound I assume you mean that variable attitudes is sum of score on 6 items form your batteries?
q1 is attitudes normally distributed? If so can use ANOVA with frequency category as categorical predictor. Chose polynomial in contrasts to check if there is linear rise with frequency category
If not try PLUM read spss help carefully for interpretation of output. Or google for good internet source on ordinal regression
Why not K-W? Because it assumes that, although not normal , dependent variable has same distributions shape for all 4 categories. This is rare as snowball in hell for summed scales. KW was aimed at variables like time and income that are continuous but long tailed and is widely misused for bounded scales such as your compound scale
Best
Diana
On 19/11/2013 19:11, "Mike O'Driscoll" <odriscollfm@...> wrote:
Thanks Diana
Can you or anyone else tell me why Kruskal Wallis is not OK in this case?
Thanks
From: Kornbrot, Diana [[hidden email]]
Sent: 19 November 2013 17:06
To: Oscar M
Cc: SPSSX(r) Discussion
Subject: Re: compound variables - kruskall wallis
You need ordinal regression also known as plum in spss
Kruskal wallis will not solve your problem
On 19/11/2013 15:43, "Oscar M" <odriscollfm@...> wrote:
Wanting to test a compound variable (i.e. combined 6 variables from a battery
of questions which ask about attitudes to gaming) against a variable about
frequency of playing games (4 categories). Using kruskall wallis in SPSS but
not sure it is legitimate to use compound variables in this test? Only Non
parametric tests are possible with this data - does not meet any parametric
conditions. All help appreciated.
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Work
Department of Psychology
School of Life and Medical Sciences
University of Hertfordshire
College Lane, Hatfield, Hertfordshire AL10 9AB, UK
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