Abstract

Social interactions have gained increasing importance, both as an outcome and as a possible mediator in psychotherapy research. Still, there is a lack of adequate measures capturing relational aspects in multi-person settings. We present a new measure to assess relevant dimensions of quality of relationships and collective efficacy regarding interpersonal interactions in diverse personal and professional social systems including couple partnerships, families, and working teams: the EVOS. Theoretical dimensions were derived from theories of systemic family therapy and organizational psychology. The study was divided in three parts: In Study 1 (N = 537), a short 9-item scale with two interrelated factors was constructed on the basis of exploratory factor analysis. Quality of relationship and collective efficacy emerged as the most relevant dimensions for the quality of social systems. Study 2 (N = 558) confirmed the measurement model using confirmatory factor analysis and established validity with measures of family functioning, life satisfaction, and working team efficacy. Measurement invariance was assessed to ensure that EVOS captures the same latent construct in all social contexts. In Study 3 (N = 317), an English language adaptation was developed, which again confirmed the original measurement model. The EVOS is a theory-based, economic, reliable, and valid measure that covers important aspects of social relationships, applicable for different social systems. It is the first instrument of its kind and an important addition to existing measures of social relationships and related outcome measures in therapeutic and other counseling settings involving multiple persons.

Highlights

  • Social relationships are an important predictor of health, well-being, and efficacy [1,2,3,4]

  • The same applies to organizational contexts, where similar systemic techniques are used. Based on this systemic framework, the current study proposes that outcomes should be measured based on the system members’ evaluation of how they get along, rather than their satisfaction with specific outcomes

  • In order to select items from the large 80 items pool and to extract the minimum amount of factors we used Promax rotation to allow for correlated factors

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Summary

Introduction

Social relationships are an important predictor of health, well-being, and efficacy [1,2,3,4]. It follows that human behavior and experiences can be better understood through the interplay and interaction between individuals and contextual factors. The evaluation of PLOS ONE | DOI:10.1371/journal.pone.0133442. The evaluation of PLOS ONE | DOI:10.1371/journal.pone.0133442 July 22, 2015

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