VOCD manual

[Amber]

Thanks Leonid! Going to download a newer version. 

Best
Amber 

On Wednesday, 19 August 2015 18:56:02 UTC+1, Spektor, Leonid: CMU wrote:
>
> Amber,
>
> CHECK does not look at %mor tier. KIDEVAL will check word's one to one 
> correspondence between %mor tier and main speaker tier, But, if you have 
> already ran KIDEVAL with your current version of CLAN without any errors, 
> then the latest version of CLAN will not find errors either. You do not 
> need to re-MOR your data to use MATTR analyses, because FREQ is only 
> looking at main speaker tiers and is ignoring %mor tiers. But, if you  want 
> to get more accurate results from KIDEVAL, for example, then you should get 
> new MOR grammar and re-MOR your data. In fact you should do that even if 
> you do not update your CLAN, because we constantly improve MOR grammar and 
> this will give you more accurate results.
>
> Leonid. 
>
> On Aug 19, 2015, at 13:14, Amber <ambal... at gmail.com <javascript:>> wrote:
>
> Dear Brian
>
> Thank you. When I have gone to run the +bN command, it is not working. I 
> am thinking that I need to download a newer version of CLAN (I can see from 
> previous posts that MATTR has only recently been implemented). However, I 
> want to avoid having to re-MOR and check all my transcripts to ensure their 
> compatibility with the newer version of the software. Is there anyway to 
> update my current CLAN software (without downloading the newer version) so 
> that will allow me to run +bN? 
>
> Best wishes
> Amber 
>
> On Wednesday, 19 August 2015 17:22:53 UTC+1, Brian MacWhinney wrote:
>>
>> Dear Amber,
>>
>>     Thanks for noting that old link in the manual.  I have removed it and 
>> replaced it with a pointer to 
>> Malvern, D., Richards, B., Chipere, N., & Purán, P. (2004). *Lexical 
>> diversity and language development*. New York: Palgrave Macmillan.
>>
>> In regards to sample size, VOCD requires 100 utterances.  For smaller 
>> samples and more generally, you may wish to consider using MATTR, as 
>> described in my previous ChiBolts message on this topic.  There I gave a 
>> reference to 
>>
>> Covington, M. A., & McFall, J. D. (2010). Cutting the Gordian knot: The 
>> moving-average type–token ratio (MATTR). Journal of Quantitative 
>> Linguistics, 17(2), 94-100. 
>>
>> and you may wish to read the recent comparison of VOCD, TTR, and MATTR
>>
>> Fergadiotis, G., Wright, H., & Green, S. (2015). Psychometric evaluation 
>> of lexical diversity indices: Assessing length effects. *Journal of 
>> Speech, Language, and Hearing Research, 58*, 840. 
>>
>> My take-home from this is that people should only use TTR when comparing 
>> across samples of the same length and even then, VOCD or MATTR would be 
>> better.  In general, researchers should prefer MATTR to VOCD.  In CLAN, you 
>> run MATTR using this option in FREQ
>>
>> +bN This option calculates the lexical diversity of a sample using the 
>> Moving Average Type-Token Ratio (MATTR). This index is based on a moving 
>> window that computes TTRs for each successive window of fixed length (N). 
>> Initially, a window length is selected (e.g., 10 words) and the TTR for 
>> words 1- 10 is estimated. Then, the TTR is estimated for words 2-11, then 
>> 3-12, and so on to the end of the text. For the final score, the estimated 
>> TTRs are averaged.
>>
>>
>> —Brian MacWhinney
>>
>>
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