+1 Recommend
2 collections
      • Record: found
      • Abstract: found
      • Article: not found

      Developing a Multilevel Scale to Assess Retention of Workers with Disabilities

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


          Purpose Persons with disabilities (PwD) face difficulties in employment. Despite extensive research on PwD in the workplace, there is lack of research on the factors behind retaining or terminating the job of a PwD. This study aims to address this gap by developing the Retaining Workers with Disability (RWD) model. Method Predicated on 1032 respondents with employment decision authority, we performed exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA) for convergent and discriminant validity of the RWD model. Next, we developed the two-rank model RWD-II and employed CFA for validation. Results We presented a dual-facet measurement tool for assessing employer attitudes towards retaining PwD in the workplace. Two dominant factors were measured, direct and indirect work-related items. Indices for both models (one and two-rank) showed a good fit. Conclusion Our study highlighted two major factors influencing managers in the decision-making process of retaining workers with disabilities as follows: direct and indirect work-related concerns. The measure was validated using the RWD scale. By providing the tool to identify attitudes towards PwD work retention, we offer the first step in identifying and changing a negative approach toward this population in the workplace. Practical contributions are discussed.

          Related collections

          Most cited references 57

          • Record: found
          • Abstract: found
          • Article: not found

          Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis

          Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about “best practices” in exploratory factor analysis. In particular, this paper provides practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size.
            • Record: found
            • Abstract: not found
            • Article: not found

            Contextual supports and barriers to career choice: A social cognitive analysis.

              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Health equity and COVID-19: global perspectives

              The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.

                Author and article information

                J Occup Rehabil
                J Occup Rehabil
                Journal of Occupational Rehabilitation
                Springer US (New York )
                9 June 2021
                : 1-9
                [1 ]GRID grid.468828.8, ISNI 0000 0001 2185 8901, Department of Education, , Ashkelon Academic College, ; Ashkelon, Israel
                [2 ]GRID grid.411434.7, ISNI 0000 0000 9824 6981, Department of Economics & Business Administration, , Ariel University, ; Ariel, Israel
                [3 ]GRID grid.22098.31, ISNI 0000 0004 1937 0503, Department of English as a Foreign Language, , Bar-Ilan University, ; Ramat-Gan, Israel
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                Funded by: Israel National Insurance Institute (IL)
                Award ID: 17045


                Comment on this article