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Guillem Feixas

Researcher at University of Barcelona

Publications -  108
Citations -  1620

Guillem Feixas is an academic researcher from University of Barcelona. The author has contributed to research in topics: Repertory grid & Cognition. The author has an hindex of 21, co-authored 97 publications receiving 1429 citations. Previous affiliations of Guillem Feixas include University of Hertfordshire & Institut d'Estudis Catalans.

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The role of homework and skill acquisition in the outcome of group cognitive therapy for depression

TL;DR: In this paper, the authors evaluated the effect of homework assignment on therapy outcome by assigning 63 carefully diagnosed unipolar depressives to one of two otherwise identical 10-week cognitive therapy conditions, only one of which utilized weekly homework assignments.
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Content analysis of personal constructs

TL;DR: In this article, a system of 45 content categories for analyzing personal constructs elicited in the context of a repertory grid administration is presented, which are divided into six basic areas: moral, emotional, relational, personal, intellectual/operational, and values/interests.
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Viewing Cognitive Conflicts as Dilemmas: Implications for Mental Health

TL;DR: Of the types of cognitive conflict studied, implicative dilemmas were the only ones to discriminate between clinical and nonclinical samples and their relationship to symptom severity (SCL-90-R).
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The Multi-Center Dilemma Project: an investigation on the role of cognitive conflicts in health.

TL;DR: These studies, though preliminary (and with a small group size in some cases), yield a promising perspective to the unexplored area of the role of cognitive conflicts as an issue to consider when trying to understand some clinical conditions, as well as a focus to be dealt with in psychotherapy when dilemmas are identified.
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The stability of structural measures derived from repertory grids

TL;DR: In this paper, the reliability and convergence of several measures of cognitive structure derived from grids, including intensity, percentage of variance accounted for by the first component, cognitive complexity, ordination, extremity of ratings, self-ideal discrepancy, and self-other discrepancy, as well two measures of rating stability, construct consistency and factor loading consistency, were studied.