Citation

A Mixed-Methods Approach to Assessing Topic Transitions in Multi-party Talk

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Abstract:

This study aims to develop an empirically-based rubric for assessing test takers’ topic management in a multi-party peer activity. A conversation-analytically grounded coding scheme is generated to quantify topic transition practices. A Partial Credit Rasch Model identifies the probabilistic difficulty of these practices as indicators of interactional competence.
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Association:
Name: AAAL Annual Conference
URL:
http://www.aaal.org


Citation:
URL: http://citation.allacademic.com/meta/p1199988_index.html
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MLA Citation:

Patharakorn, Patharaorn. and Kasper, Gabriele. "A Mixed-Methods Approach to Assessing Topic Transitions in Multi-party Talk" Paper presented at the annual meeting of the AAAL Annual Conference, Portland Marriot Downtown Waterfront, Portland, Oregon, <Not Available>. 2017-07-22 <http://citation.allacademic.com/meta/p1199988_index.html>

APA Citation:

Patharakorn, P. and Kasper, G. "A Mixed-Methods Approach to Assessing Topic Transitions in Multi-party Talk" Paper presented at the annual meeting of the AAAL Annual Conference, Portland Marriot Downtown Waterfront, Portland, Oregon <Not Available>. 2017-07-22 from http://citation.allacademic.com/meta/p1199988_index.html

Publication Type: Colloquium Paper
Abstract: This study aims to develop an empirically-based rubric for assessing test takers’ topic management in a multi-party peer activity. A conversation-analytically grounded coding scheme is generated to quantify topic transition practices. A Partial Credit Rasch Model identifies the probabilistic difficulty of these practices as indicators of interactional competence.


Similar Titles:
Walking the talk: The multi-year, mixed methods design

Multi-method assessment approach to the detection of malingered pain: Association with the MMPI-2 Restructured Form

A Mixed-Methods Approach to Assess the Effectiveness of Crisis Intervention Team Training in Corrections

An Assessment of States' Drug Abuse Treatment: A Mixed Methods Approach


 
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