An Investigation of Interrater Reliability for the Rorschach Performance Assessment System (R-PAS) in a Nonpatient U.S. Sample.

Autor: Kivisalu TM; a California School of Professional Psychology, Alliant International University., Lewey JH; a California School of Professional Psychology, Alliant International University., Shaffer TW; a California School of Professional Psychology, Alliant International University., Canfield ML; a California School of Professional Psychology, Alliant International University.
Jazyk: angličtina
Zdroj: Journal of personality assessment [J Pers Assess] 2016 Jul-Aug; Vol. 98 (4), pp. 382-90. Date of Electronic Publication: 2016 Jan 05.
DOI: 10.1080/00223891.2015.1118380
Abstrakt: The Rorschach Performance Assessment System (R-PAS) aims to provide an evidence-based approach to administration, coding, and interpretation of the Rorschach Inkblot Method (RIM). R-PAS analyzes individualized communications given by respondents to each card to code a wide pool of possible variables. Due to the large number of possible codes that can be assigned to these responses, it is important to consider the concordance rates among different assessors. This study investigated interrater reliability for R-PAS protocols. Data were analyzed from a nonpatient convenience sample of 50 participants who were recruited through networking, local marketing, and advertising efforts from January 2013 through October 2014. Blind recoding was used and discrepancies between the initial and blind coders' ratings were analyzed for each variable with SPSS yielding percent agreement and intraclass correlation values. Data for Location, Space, Contents, Synthesis, Vague, Pairs, Form Quality, Populars, Determinants, and Cognitive and Thematic codes are presented. Rates of agreement for 1,168 responses were higher for more simplistic coding (e.g., Location), whereas agreement was lower for more complex codes (e.g., Cognitive and Thematic codes). Overall, concordance rates achieved good to excellent agreement. Results suggest R-PAS is an effective method with high interrater reliability supporting its empirical basis.
Databáze: MEDLINE
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