Abstract: (see Poster Gallery) The Effects of Covid-19 Stress and Support on Job Satisfaction and Turnover Intent Among Social Service Workers (Society for Social Work and Research 27th Annual Conference - Social Work Science and Complex Problems: Battling Inequities + Building Solutions)

All in-person and virtual presentations are in Mountain Standard Time Zone (MST).

SSWR 2023 Poster Gallery: as a registered in-person and virtual attendee, you have access to the virtual Poster Gallery which includes only the posters that elected to present virtually. The rest of the posters are presented in-person in the Poster/Exhibit Hall located in Phoenix A/B, 3rd floor. The access to the Poster Gallery will be available via the virtual conference platform the week of January 9. You will receive an email with instructions how to access the virtual conference platform.

552P (see Poster Gallery) The Effects of Covid-19 Stress and Support on Job Satisfaction and Turnover Intent Among Social Service Workers

Saturday, January 14, 2023
Phoenix C, 3rd Level (Sheraton Phoenix Downtown)
* noted as presenting author
Nathan Li, Associate Professor, California State University, Bakersfield, CA
Background and Purpose:

Social service workers often experience many job stressors due to the nature of their work and inadequate organizational support. Research has applied the job demands and resources (JD-R) model to examine how these factors impact individual perceptions about work such as job satisfaction and burnout. The Covid-19 pandemic is believed to add an extra layer of stress to these workers. This study aimed to investigate the direct effects of Covid-19 stress and Covid-19 support on job satisfaction and their indirect effects on turnover intention through job satisfaction among social service workers while controlling for job demands and resources and other demographic and work characteristics.


The sample included 256 workers employed in various social service agencies in an urban area in California. Survey data were collected using a self-reported questionnaire. Participants’ self-reported race/ethnicity was white (16%), Hispanic (71%), African American (9%), Asian (2%), and other (2%). Most participants were female (87%), married (55%), and provided direct care to clients (82%). The average age was 36 years (SD = 9).

Job satisfaction was measured by a short scale of overall job satisfaction (5 items). Turnover intention taps into individual workers' intent to leave the agency (3 items). The job demands scale (6 items) captures organizational stressors such as high expectations and unmanageable caseloads; the job resources scale (8 items) includes supervision, teamwork, training, etc. Covid-19 stress included four items: overall stress due to Covid-19 and its impacts on individual mental, physical, and financial well-being, respectively. Covid-19 support was measured by organizational support for Covid-19 in three areas: communications, personal protective equipments, and technical support.


Hierarchical regression models predicting job satisfaction were established in three steps. Seven control variables (age, sex, race, marital status, direct care, overtime work, and perceived workload) were entered in Model 1, JD-R factors in Model 2, and Covid-19 stress and support in Model 3. Model fit was significantly improved in Model 2 (∆R2 = 0.24, F(2,241) = 45.95, p < .001) and Model 3 (∆R2 = 0.06, F(2,239) = 11.77, p < .001). In Model 3, significant predictors for job satisfaction included direct service (b = .33, p = .002), job demands (b = -.15, p = .004), lack of resources (b = -.18, p = .004), Covid-19 stress (b = -.10, p = .03), and Covid-19 support (b = .19, p < .001). Bootstrapping mediation analyses with all significant predictors in Model 3 revealed that job satisfaction was a significant mediator between turnover intent and lack of resources (95% CI [0.033, 0.134]), Covid-19 stress (95% CI [0.077, 0.213]), and Covid-19 support (95% CI [0.122, 0.375]).

Conclusions and Implications:

Job satisfaction was negatively related to Covid-19 stress and positively related to Covid-19 support among social service workers. It mediated the effects of Covid-19 stress and support on turnover intent. Social service agencies can use these findings to inform their efforts to curb the detrimental effects of Covid-19. These efforts should be at least two-fold: increasing job resources and enhancing Covid-19 support.