Purpose The economic downturn due to the Coronavirus Disease 2019 (COVID-19) pandemic initially led to a large increase in the US unemployment rate. Being laid-off or losing a job could cause financial stress and have an impact on the relationship between parents or other adults in the home and children. We aimed to assess the effect of household unemployment on child physical and emotional abuse during the early part of the COVID-19 pandemic, with an older population of children. Methods Data were from a sample of 7,555 students from 51 schools that participated in a survey administered from October to December 2020. We conducted weighted multivariable logistic regression models and report adjusted odds ratio to estimate associations between recent household unemployment and emotional and physical abuse. Results Having a parent or other adult in the home with a job loss was associated with higher odds of emotional or physical abuse. Conclusions The findings are consistent with child maltreatment prevention strategies focused on alleviating economic hardship.
Objective
While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes.
Results
At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.
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