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Positive Relational Management for Healthy Organizations: Psychometric Properties of a New Scale for Prevention for Workers

Overview of attention for article published in Frontiers in Psychology, October 2016
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Title
Positive Relational Management for Healthy Organizations: Psychometric Properties of a New Scale for Prevention for Workers
Published in
Frontiers in Psychology, October 2016
DOI 10.3389/fpsyg.2016.01523
Pubmed ID
Authors

Annamaria Di Fabio

Abstract

This contribution aims at evaluating the psychometric properties of the Positive Relational Management Scale (PRMS) in a sample of 251 Italian workers. The dimensionality, reliability, and concurrent validity of the scale were investigated. Confirmatory factor analysis supported a correlated three-dimensional version of the scale, comprising Respect, Caring, and Connectedness. Latent correlations among the dimensions were moderate-to-strong (0.44-0.57), but suggestive of the multidimensionality of the scores. In addition, good internal consistency was confirmed. The concurrent validity is good as the Pearson's correlations between PRMS and measure for social support, life satisfaction, life meaningfulness, and flourishing range from 0.39 to 0.52. The results indicate that the PRMS is a valid instrument for measuring positive relational management at work in the Italian context within a positive preventive perspective.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Doctoral Student 8 14%
Student > Ph. D. Student 5 9%
Student > Bachelor 5 9%
Lecturer 4 7%
Other 10 17%
Unknown 16 28%
Readers by discipline Count As %
Psychology 20 34%
Business, Management and Accounting 7 12%
Nursing and Health Professions 3 5%
Neuroscience 3 5%
Social Sciences 3 5%
Other 5 9%
Unknown 17 29%