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      Home care workers' views of employment conditions: private for-profit vs public and non-profit providers in Ireland

      , ,
      International Journal of Sociology and Social Policy
      Emerald

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          Abstract

          Purpose

          The purpose of this paper is to compare home care workers' views of their employment conditions by provider type – private for-profit vs public and non-profit – using the case study of Ireland.

          Design/methodology/approach

          An online survey was distributed to care workers ( n = 350) employed by private for-profit, public and non-profit home care providers in Ireland. Returned questionnaires were analysed statistically in R using chi-squared tests to systematically compare key aspects of employment conditions.

          Findings

          Analysis shows that conditions are perceived to be significantly worse for those employed by private for-profit providers (and to a lesser extent non-profit organisations) compared to the public provider. There are wide disparities between public and private sector conditions in terms of contracts, pensions, unsocial hours pay and travel time allowances. The main area of convergence is in relation to employer support, where although the public sector performed better, the difference between the three provider types is smaller.

          Originality/value

          Relatively little research compares working conditions in private for-profit providers vs public and non-profit providers in Ireland and other countries. The findings can be understood in the context of marketisation reforms and may partly be explained by a lack of regulation in Ireland's home care sector and low unionisation rates amongst care workers employed by private for-profit providers.

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          Most cited references67

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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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            R: A Language and Environment for Statistical Computing

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              Care regimes and national employment models

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                International Journal of Sociology and Social Policy
                IJSSP
                Emerald
                0144-333X
                January 03 2023
                January 03 2023
                : 43
                : 13/14
                : 19-35
                Article
                10.1108/IJSSP-10-2022-0276
                61510c07-997e-426a-a21e-6ca4c326b4ad
                © 2023

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