MARC details
| 000 -LEADER |
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| fixed length control field |
01984nam a2200241Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180926s2016 xx 000 0 und d |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
MANILA TYTANA COLLEGES LIBRARY |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Can, Dogan. |
| 245 #0 - TITLE STATEMENT |
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| Title |
It sounds like : |
| Remainder of title |
a natural language processing approach to detecting counselor reflections in motivational interviewing / |
| Statement of responsibility, etc. |
Dogan Can, Rebeca A. Marín, Panayiotis G. Georgiou, Zac E. Imel, David C. Atkins, Shrikanth S. Narayanan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of publication, distribution, etc. |
April 2016 |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Number of part/section of a work |
63 : 3, page 343-350 |
| Title |
Journal of Counseling Psychology |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The dissemination and evaluation of evidence-based behavioral treatments for substance abuse problems rely on the evaluation of counselor interventions. In Motivational Interviewing (MI), a treatment that directs the therapist to utilize a particular linguistic style, proficiency is assessed via behavioral coding-a time consuming, nontechnological approach. Natural language processing techniques have the potential to scale up the evaluation of behavioral treatments such as MI. We present a novel computational approach to assessing components of MI, focusing on 1 specific counselor behavior-reflections, which are believed to be a critical MI ingredient. Using 57 sessions from 3 MI clinical trials, we automatically detected counselor reflections in a maximum entropy Markov modeling framework using the raw linguistic data derived from session transcripts. We achieved 93% recall, 90% specificity, and 73% precision. Results provide insight into the linguistic information used by coders to make ratings and demonstrate the feasibility of new computational approaches to scaling up the evaluation of behavioral treatments. |
| 521 ## - TARGET AUDIENCE NOTE |
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| Target audience note |
Psychology. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Dissemination. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Fidelity assessment. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Motivational interviewing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Natural language processing. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Articles |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
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| Cataloger's initials, CIN (RLIN) |
82495 |
| First Date, FD (RLIN) |
140858 |
