CLAN questions - new user

Thu Mar 25 17:31:49 UTC 2021

Hi Brenda,

	I can give you my suggestions, but these are definitely not the only choices that you have. Maybe someone else would have better ideas.

1., 2. The post-codes are best way to identify specific utterances from a larger group of utterances. So, for example, if you have *MOT-ET: speaker code for extra-textual talk and *MOR-RE: speaker code for mother reading, then you would have @Participants: MOT Mother header tier to identify one Mother speaker. This way you have only one speaker with different tiers based on what those tiers represent. This way you can use FREQ command to locate just that speaker with the command freq +t*MOT if you want separate results, or freq +t*MOT-RE for just mother reading, or command freq +t*MOT +o3 if you want combined result for all mother's utterances.

The post-codes are the best way to tag utterances, because they will allow you to find other dependent tiers along with speaker tiers. For example, if you have utterances:

*MOT-ET:	extra textual talk [+ CR] .
%mor:	adj|extra adj|textual n|talk .
%gra:	1|3|MOD 2|3|MOD 3|0|INCROOT 4|3|PUNCT

and you want to run analyzes on %mor: tier with post-code [+ CR], then you would use command freq +s"[+ CR]" +t%mor or if you want only mother's extra-textual talk utterances with post-code [+ CR], then use command freq +t*MOT-ET +s"[+ CR]" +t%mor.

If you use dependent tiers for coding, then it would be more difficult to associate those codes with other tiers of that speaker. It can be done, but it would require two commands 1. KWAL to extract only utterances with that code on dependent tier and next FREQ command to run analyses on those extracted tiers.

If you only want to count codes on specific dependent tiers, then using dependent tiers like %xett : $AK will work. Notice, the dependent tier would have to start with 'x' or it will not pass CHECK command.

3. The command that you have freq @ +t*MOT +s"<+ AK>" is best to count number of occurrences of actual codes. If you want to run analyzes on the words used by the speaker, then you would use command freq @ +t*MOT +s"[+ AK]". This can be combined with other dependent tiers associated with that speaker tier. For example, command freq +s"[+ AK]" +t%mor will analyze words on %mor tier.

4. If you mean to run FREQ on multiple files to get separate results for each file, the you could use *.cha or "File In" button in Commands window. If you want to get combined results for multiple files, then add +u option to the command line.

Leonid.

> On Mar 25, 2021, at 11:25, Brenda Beverly <bbeverly at southalabama.edu> wrote:
> 
> To Whom It May Concern:
> 
> I am a new user of CHAT/CLAN (long time SALT user). My colleague in China and I are using CHAT/CLAN for transcription and analysis of mothers' engagement behaviors when book sharing with 4 year olds. We may be able to donate the videos and/or transcripts to CHILDES in the future, but in the short term, we are trying to maximize the CHAT/CLAN capabilities. 
> 
> I have a few questions: 
> 1. Are post codes the best CHAT method for our study purposes? After working to learn CHAT , it seems that our study-specific coding of engagement strategies is best accomplished through post codes. So, we have an utterance and then a post code - for example,  [+ CR] which is our abbreviation for Choral Reading, an engagement strategy of the mothers that we are tracking. 
>  
> 2. How could we get separate tiers for when the mothers are reading the text from the children's book versus when the mothers are talking/speaking, not reading? We have ruled out @g. It seems @g is better for 2 different book sharing activities, not these separate types of talk with one book sharing/storybook. We are considering labeling the Participant tier to separate this - @MOT for Mother reading, but maybe @MET for Mother's extra-textual talk. This will likely give us the output we need but it's not truly 2 different participants. In that regard, it feels like we might be missing out on a tier option that would be a better representation of the transcripts. Should we have set this up with a dependent tier using %ETT (extra-textual talk) perhaps? Could we keep the post codes and add this following the MOT utterances that are extra textual? Or do we need to use the codes together, for example:
> %ETT : AK (AK = our code for an acknowledgment)
> 
> 3. Is the freq command the best CLAN program for our purposes? We have successfully run freq to obtain the counts for the post-codes and exported that to excel. 
> The program my colleague ran was:
> freq @ +[*MOT = s"<+ AK>" 
> She ran separate analyses for each of the engagement behaviors - AK for acknowledgement as well as CR Choral Reading etc. 
> This is working. I was simply curious if this was the best/right option, especially given my other questions about the use of post codes and tiers. 
> 
> 4. Lastly, I believe we could run a command that would include all 10 participant transcripts, but I haven't studied or determined how to set that up. Are you able to assist? 
> 
> My apologies for these basic questions. We are excited to access CHAT/CLAN for this project and future work. Your support is greatly appreciated!
> 
> Brenda Beverly
> bbeverly at southalabama.edu
> 251.635.3999 mobile #
> 
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