VOCD manual

Wed Aug 19 21:22:38 UTC 2015

I've done it and it is working - thank you. One more question - I wondered 
if it is possible to have the MATTR output formatted like KIDEVAL is, in a 
spreadsheet with each transcript listed in a row and the MATTR in the 
column next to it. This would make it so much easier to copy + paste into 
my stats software. 

Thanks, 
Amber 

On Wednesday, 19 August 2015 19:08:15 UTC+1, Amber wrote:
>
> 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> 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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