Social support during COVID-19: Exploring the psychometric properties of the PSS-JSAS and its relationship with job search activities.

The COVID-19 pandemic has highlighted the importance of social support for everyone. Supports from relatives, neighbors, and friends are more significant for a job seeker, especially during the pandemic. Accordingly, the present study explored the psychometric properties of the Perceived Social Support for Job Search Activities Scale (PSS-JSAS) in the Indian context with the help of two independent samples. First sample of 518 respondents was randomly divided into two subsamples using the random case selection feature in the statistical package for social sciences (SPSS). The exploratory factor analysis (EFA) was performed on the first subsample, which yielded a one-factor model explaining 47.23% of variations. The confirmatory factor analysis (CFA) conducted on the second subsample concluded a good model fit of PSS-JSAS. In the second sample, Cronbach's alpha and composite reliability values (greater than 0.70) established the scale's reliability. Results also revealed that the correlation coefficients between PSS-JSAS score, hope, self-efficacy, resilience, and optimism were 0.470, 0.552, 0.621, and 0.5 at p < 0.01. It also revealed a negative association with job search anxiety scores (r = -0.549, p < 0.01). Thus, PSS-JSAS was positively associated with PsyCap and negatively correlated with job search anxiety behaviors. It concluded the criterion validity of PSS-JSAS in the Indian context. Multigroup factor analysis concludes that the scale is equally valid for both Indian males and females. Hence, results reported adequate reliability and validity of the scale in the Indian context. These findings will encourage future researchers to investigate the phenomena of social support in the job search.