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Re: st: Mokken scaling procedure - output


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Mokken scaling procedure - output
Date   Tue, 12 Feb 2013 16:56:41 +0000

That's -graph- not -raph-.

On Tue, Feb 12, 2013 at 4:53 PM, Nick Cox <njcoxstata@gmail.com> wrote:
> 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 <schwirzl@tcd.ie> 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) <jvverkuilen@gmail.com> wrote:
>>> On Tue, Feb 12, 2013 at 10:42 AM, Laura Maria Schwirz <schwirzl@tcd.ie> 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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