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Re: st: Mokken scaling procedure - output
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: Mokken scaling procedure - output
Date
Tue, 12 Feb 2013 16:53:02 +0000
This is way outside my experience, but I would not exclude plotting
the data, seemingly unusual in this territory. In this case, -graph
matrix- might be helpful but given the ordinal scale jittering would
be essential.
clear
set obs 1000
forval j = 1/5 {
gen y`j' = floor(6 * runiform())
}
raph matrix y?, jitter(1)
gives a kind of benchmark for a null extreme.
Nick
On Tue, Feb 12, 2013 at 4:44 PM, Laura Maria Schwirz <[email protected]> wrote:
> I thought so too. I was quite surprised to get such high Loevinger
> coefficients but this might be due to a rather large sample size of 3,300?
> Also, does it mean that if they all lie above the critical value of 0.3
> that these variables (or traits in this case) form one dimension? I.e. if
> two of them were lower than 0.3, the other two would still form such a
> dimension?
>
> Many thanks for your advice on this, much appreciated!
>
> Laura
>
> On 12 February 2013 16:26, JVerkuilen (Gmail) <[email protected]> wrote:
>> On Tue, Feb 12, 2013 at 10:42 AM, Laura Maria Schwirz <[email protected]> wrote:
>>> Apologies. I had some trouble sending the email and I thought the
>>> Stata output caused the problem. Here's the output. I am actually just
>>> reading van Schur's article and find it quite helpful.
>>
>> Your situation is exactly what Mokken scaling is good at but read
>> through those citations to make sure you feel solid about what the
>> output is.
>>
>> I'd worry about a halo effect on these due to the likely content.
>> Those are some VERY high H stats.
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