THE EFFECT OF THE ADMINISTRATION SETTINGS OF PSYCHOMETRIC TESTS ON SELF-REPORTED SYMPTOM REDUCTION

Author:

Braho Lediona1,Bodinaku Blerta1,Pokorny Dan2

Affiliation:

1. University of Tirana, Tirana, Albania

2. Ulm University, Ulm, Germany

Abstract

Using psychometric measures as communication tools instead of automatic and mechanic tools to provide an immediate profile of the client, constitutes a relevant challenge in the domain of psychometric testing. Interventions in the psychometric measurement process can increase the utility of measures as potential therapeutic tools. The aim of this study was to investigate the effect of the measure administration setting in reducing self-reported symptoms. The administration setting was manipulated in respect to two factors: a) researcher-subject communication during the measure administration process, and b) information of the subject on the one-week retest procedure. The sample (N=147) included four randomly assigned groups in 2x2 design. The group A was provided both interactive administration of the questionnaire and information about its repetition in the one-week-later retest; group B was provided interactive administration without information about the retest; group C conducted self-administration without the presence of the researcher, but information about the retest was provided; the control group D conducted self-administration only, with none of both interventions. The study has shown the effect of the researcher-subject communication; the CORE-OM values decreased significantly by the retest administration in groups A and B. The study results support the understanding of the psychometrical measurement as a dynamical inter-personal process. Moreover, they provide a relevant hint for clinicians who can optimize the use of tests as potentially therapeutic tools. Key words: administration effects, administration settings, CORE-OM, cross-cultural psychometry, self-report.

Publisher

Scientia Socialis Ltd

Subject

General Earth and Planetary Sciences,General Environmental Science

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