Understanding the association between time spent caregiving and well-being among employed adults: testing a model of work–life fit and sense of community

This study examines factors associated with work–life fit and sense of geographic community as mediators of the negative association between caregiving demands and well-being among employed informal caregivers. Data were drawn from a larger project assessing well-being among residents of three mid-size cities in Ontario, Canada. A subsample was selected of informal caregivers who worked for pay for at least eight hours/week (n?=?276). Caregiving demands were measured by time spent caring for an adult who was a relative, friend, or neighbour. Well-being followed a holistic conceptualization advanced by the Canadian Index of Wellbeing. The more time spent caregiving, the lower participants’ well-being ratings were. This association was mediated by perceived time adequacy, income adequacy, and sense of community, such that the more time participants spent caregiving, the lower their ratings of these three resources. This explained the initial association of caregiving hours with reduced well-being. Enhanced well-being was more strongly associated with sense of community than any other factor, which supports the importance of the community domain in understanding well-being among employed caregivers and suggests its further testing with other population groups. Policy implications for employers and community organizations are provided.     

A Dual Model for Completing Parenting Plans Postseparation

Dr. Kushner has more than 25 years of experience as a court‐appointed expert in matters pertaining to completing child custody evaluations (parenting plans) postseparation. This article combines her extensive practice experience and knowledge about social work theory to offer a “dual model of practice” that provides an alternative for child custody evaluators to consider when completing parenting plans postseparation. The model presented combines the strength-based and person-in-environment perspectives to provide an alternative way of conceptualizing the child custody expert's design of these complicated parenting assessments.     

Split Questionnaire Designs: collecting only the data that you need through MCAR and MAR designs

We call a sample design that allows for different patterns, or sets, of data items to be collected from different sample units a Split Questionnaire Design (SQD). SQDs can be thought of as incorporating missing data into survey design. This paper examines the situation where data that are not collected by an SQD can be treated as Missing Completely At Random or Missing At Random, targets are regression coefficients in a generalised linear model fitted to binary variables, and targets are estimated using Maximum Likelihood. A key finding is that it can be easy to measure the relative contribution of a respondent to the accuracy of estimated model parameters before collecting all the respondent's model covariates. We show empirically and theoretically that we could achieve a significant reduction in respondent burden with a negligible impact on the accuracy of estimates by not collecting model covariates from respondents who we identify as contributing little to the accuracy of estimates. We discuss the general implications for SQDs.