Leonid:<div>Thank you so much for this timely and detailed response to my questions. I am excited to use these suggestions to move forward in a way that will support our research. I cannot thank you enough. </div><div>all the best, </div><div>Brenda</div><div><br><br></div><div class="gmail_quote"><div dir="auto" class="gmail_attr">On Thursday, March 25, 2021 at 12:31:52 PM UTC-5 Leonid Spektor wrote:<br/></div><blockquote class="gmail_quote" style="margin: 0 0 0 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;"><div style="word-wrap:break-word;line-break:after-white-space">Hi Brenda,<div><br></div><div><span style="white-space:pre"> </span>I can give you my suggestions, but these are definitely not the only choices that you have. Maybe someone else would have better ideas.</div><div><br></div><div>1., 2. The post-codes are best way to identify specific utterances from a larger group of utterances. So, for example, if you have <font color="#0433ff">*MOT-ET:</font> speaker code for extra-textual talk and <font color="#0433ff">*MOR-RE:</font> speaker code for mother reading, then you would have <font color="#0433ff">@Participants: MOT Mother </font>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 <font color="#ff2600">freq +t*MOT</font> if you want separate results, or <span style="color:rgb(255,38,0)">freq +t*MOT-RE</span> for just mother reading, or command <font color="#ff2600">freq +t*MOT +o3</font> if you want combined result for all mother's utterances.</div><div><br></div><div>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:</div><div><br></div><div><div><font color="#0433ff">*MOT-ET:<span style="white-space:pre"> </span>extra textual talk [+ CR] .</font></div><div><font color="#0433ff">%mor:<span style="white-space:pre"> </span>adj|extra adj|textual n|talk .</font></div><div><font color="#0433ff">%gra:<span style="white-space:pre"> </span>1|3|MOD 2|3|MOD 3|0|INCROOT 4|3|PUNCT</font></div><div><br></div><div>and you want to run analyzes on %mor: tier with post-code [+ CR], then you would use command <font color="#ff2600">freq +s"[+ CR]" +t%mor</font> or if you want only mother's extra-textual talk utterances with post-code [+ CR], then use command <font color="#ff2600">freq </font><span style="color:rgb(255,38,0)">+t*MOT-ET </span><font color="#ff2600">+s"[+ CR]" +t%mor</font>.</div><div><br></div><div>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.</div><div><br></div><div>If you only want to count codes on specific dependent tiers, then using dependent tiers like <font color="#0433ff">%xett : $AK</font> will work. Notice, the dependent tier would have to start with 'x' or it will not pass CHECK command.</div><div><br></div><div>3. The command that you have <font color="#ff2600">freq @ +t*MOT +s"<+ AK>"</font> 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 <font color="#ff2600">freq @ +t*MOT +s"[+ AK]"</font>. This can be combined with other dependent tiers associated with that speaker tier. For example, command <font color="#ff2600">freq +s"[+ </font><span style="color:rgb(255,38,0)">AK</span><font color="#ff2600">]" +t%mor</font> will analyze words on %mor tier.</div><div><br></div><div>4. If you mean to run FREQ on multiple files to get separate results for each file, the you could use <font color="#ff2600">*.cha</font> or "<font color="#ff2600">File In</font>" button in Commands window. If you want to get combined results for multiple files, then add <font color="#ff2600">+u</font> option to the command line.</div><div><br></div><div><br>Leonid.
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<div><br><blockquote type="cite"></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div>On Mar 25, 2021, at 11:25, Brenda Beverly <<a href data-email-masked rel="nofollow">bbev...@southalabama.edu</a>> wrote:</div><br></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div>To Whom It May Concern:<div><br></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div>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. </div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><br></div><div>I have a few questions: </div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><div dir="ltr"><div dir="ltr"><div>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. </div></div></div><div> </div></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><div dir="ltr"><div dir="ltr"><div>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:</div></div></div></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><div dir="ltr"><div dir="ltr"><div>%ETT : AK (AK = our code for an acknowledgment)</div><div><br></div></div></div></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><div dir="ltr"><div dir="ltr"></div></div><div>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. </div></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><div>The program my colleague ran was:</div><div>freq @ +[*MOT = s"<+ AK>" </div><div>She ran separate analyses for each of the engagement behaviors - AK for acknowledgement as well as CR Choral Reading etc. </div><div>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. <br></div></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div><div><br></div><div>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? </div><div><br></div><div>My apologies for these basic questions. We are excited to access CHAT/CLAN for this project and future work. Your support is greatly appreciated!</div><div><br></div><div>Brenda Beverly</div><div><a href data-email-masked rel="nofollow">bbev...@southalabama.edu</a></div><div><a href="tel:(251)%20635-3999" value="+12516353999" target="_blank" rel="nofollow">251.635.3999</a> mobile #</div><div><br></div></div></blockquote></div></div></div><div style="word-wrap:break-word;line-break:after-white-space"><div><div><blockquote type="cite"><div>
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