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The Journal of Psychology
Interdisciplinary and Applied
Volume 141, 2007 - Issue 6
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Original Article

Predicting the Decision to Pursue Mediation in Civil Disputes: A Hierarchical Classes Analysis

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Pages 627-635 | Published online: 07 Aug 2010
 

Abstract

Clients (N = 185) involved in civil court cases completed the CPR Institute's Mediation Screen (CPRMS; CPR Institute for Dispute Resolution, 2002), which is designed to assist in making a decision about pursuing mediation. The authors modeled data using hierarchical classes analysis (HICLAS), a clustering algorithm that places clients into 1 set of classes and CPRMS items into another set of classes. HICLAS then links the sets of classes so that any class of clients can be identified in terms of the classes of items they endorsed. HICLAS-derived item classes reflected 2 underlying themes: (a) suitability of the dispute for a problem-solving process and (b) potential benefits of mediation. All clients who perceived that mediation would be beneficial also believed that the context of their conflict was favorable to mediation; however, not all clients who saw a favorable context believed they would benefit from mediation. The majority of clients who agreed to pursue mediation endorsed items reflecting both contextual suitability and perceived benefits of mediation.

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