Questions about CHIP

[Brian MacWhinney]

Dear Jenna,
    Page 68 of the manual explains that the nature of the source and the target varies depending on whether the report is in the %chi, %adu, %csr, or %asr tier.  On page 70, the manual explains that distance refers to distance in terms of utterances.  Yes, the Rep_Index reflects the number of matching words.  Regarding %_IMITAT, you might notice that I was a bit unclear about this index when I wrote the documentation in the manual and so I put question marks.  I assume the denominator is the number of utterances.  If this is important to you, we could set up a large test corpus to see exactly what this is doing.  There is a chip.cha file in the /examples folder that we could extend to check on this.

—Brian MacWhinney

> On Jan 25, 2015, at 6:14 PM, Jenna <jenna08 at gmail.com> wrote:
> 
> Hello again, 
> 
> I am using the CHIP utility for a research project. I am interested in looking at how much mothers imitate and expand upon child utterances and whether that facilitates language development.
> 
> I have a few questions about some of the summary measures included in CHIP. I plan to use %_Overlap and %_EXPAN in my analysis, but I am not sure I understand Avg_Dist, Rep_Index, and %_IMITAT. These are the descriptions included in the manual:
> 
> “$DIST: the distance the response utterance is from the source”
> 
> “Avg_Dist: The sum of the DIST values divided by the total number of overlapping utterances.” 
> 
> “Rep_Index: Average proportion of repetition between the source and response utterance across all the overlapping responses in the data.” 
> 
> “%_IMITAT: ?? The numerator is the number of imitations and the denominator is ???”
> 
> My questions are: 
> 
> 
> How is distance measured? Is this how many utterances there are between source and response?
> Is the Rep_Index how closely the source and response match (e.g. 3 out of 4 words match)?
> Does %_IMITAT measure percent of responses that exactly imitate the source? What is the denominator?
> 
> Any further explanation you could provide on these measures would be very helpful. Thank you again for all of your help and for this wonderful program!
> 
> Jenna K. Poland
> M.A Speech-Language Pathology Candidate, May 2015
> Graduate Assistant to Nan B. Ratner, Ed.D 
> University of Maryland, College Park
> 
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