Computer Assessment of Simulated Patient Interviews (CASPI): psychometric properties of a web-based system for the assessment of motivational interviewing skills

计算机辅助模拟病人访谈评估(CASPI):基于网络的动机式访谈技能评估系统的心理测量学特性

阅读:1

Abstract

OBJECTIVE: Benefits of empirically supported interventions hinge on clinician skill, particularly for motivational interviewing (MI). Existing MI skill assessments are limited with respect to validity (e.g., self-report) and practicality (e.g., coding session tapes). To address these limitations, we developed and evaluated two versions of a web-based assessment of MI skills, the Computer Assessment of Simulated Patient Interviews (CASPI). METHOD: Ninety-six counselors from the community and 24 members of the Motivational Interviewing Network of Trainers (MINT) completed the CASPI (N = 120), in which they verbally responded via microphones to video clips comprising three 9-item vignettes. Three coders used an emergent coding scheme, which was compared with alternative MI skills measures. RESULTS: CASPI demonstrated excellent internal consistency when averaging across two or three vignettes (α's = .86-.89). Intraclass correlations were above .40 for most items. Confirmatory factor analyses supported a correlated three-factor model: MI-consistent, resistance-engendering, and global change talk orientation rating. Means and factor loadings were invariant across forms (i.e., the two alternative versions of CASPI), and factor loadings were invariant across subgroup (i.e., community counselor or MINT member). Test-retest reliability was good for MI-consistent and resistance-engendering scores (r = .74 and .80, respectively) but low for change talk orientation (r = .29) unless coder was taken into account (r = .69). CASPI showed excellent construct and criterion-related validity. CONCLUSIONS: CASPI represents a promising method of assessing MI skills. Future studies are needed to establish its performance in real-world contexts.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。