Critical Summary: Maternal Employment And Child Development
Running head: Critical Summary: Maternal Employment and Child
Critical Summary: Maternal Employment and Child Development
Vanessa Sibley
Liberty University
Abstract
The purpose of this article was to reflect the effects of a mother’s employment status on her child during their development stages, birth to three years. The challenge was to show the cognitive development impact that is imposed upon a child when they do not have the influence of a mother’s care due to their employment status. Additionally, the study was to prove and provide scientific insight in determining whether or not a child’s development is negatively impacted when they are separated from their mother immediately after birth. Research has shown that one of …show more content…
According to the article, “propensity score matching estimates the effect of maternal employment by creating matched groups based on background characteristics. First, the propensity score, or the probability of being treated (i.e., the probability that the child’s mother worked post birth), is estimated for each child.” (Hill, Waldfogel, Brooks-Gunn, & Han, 2005) In order to balance the results of the case study and to fill the gaps of populations that may have not been considered and or represented, multiple imputations was used. According to the article, “MI replaces missing values with predictions based on all the other information observed in the study. This creates a “completed” dataset with the original data augmented by imputed data. MI can accommodate many different patterns of missing data. In contrast to single imputation techniques, however, MI properly accounts for our uncertainty about these missing values (leading to appropriate standard errors) by imputing several values for each missing value (with variability due to both sampling error and model uncertainty), creating several completed datasets” (Hill et al., 2005 )
Research was performed based on a sample group that included children from childhood (birth-12 yrs.); preschool age (2-5 yrs.); school age (6-12 yrs.) children whose parents employment status included 4 maternal employment …show more content…
not all maternal types were represented) as well as a few biases and assumptions might have been made regarding the data used to evaluate the subjects referenced. The study was based on observational not experimental data, which left opportunities for assumptions to be implied, perhaps appropriately or not. However, the strengths were represented in the methods used (MI and propensity scoring) to interpret and properly analyses the
Critical Summary: Maternal Employment and Child Development
Vanessa Sibley
Liberty University
Abstract
The purpose of this article was to reflect the effects of a mother’s employment status on her child during their development stages, birth to three years. The challenge was to show the cognitive development impact that is imposed upon a child when they do not have the influence of a mother’s care due to their employment status. Additionally, the study was to prove and provide scientific insight in determining whether or not a child’s development is negatively impacted when they are separated from their mother immediately after birth. Research has shown that one of …show more content…
According to the article, “propensity score matching estimates the effect of maternal employment by creating matched groups based on background characteristics. First, the propensity score, or the probability of being treated (i.e., the probability that the child’s mother worked post birth), is estimated for each child.” (Hill, Waldfogel, Brooks-Gunn, & Han, 2005) In order to balance the results of the case study and to fill the gaps of populations that may have not been considered and or represented, multiple imputations was used. According to the article, “MI replaces missing values with predictions based on all the other information observed in the study. This creates a “completed” dataset with the original data augmented by imputed data. MI can accommodate many different patterns of missing data. In contrast to single imputation techniques, however, MI properly accounts for our uncertainty about these missing values (leading to appropriate standard errors) by imputing several values for each missing value (with variability due to both sampling error and model uncertainty), creating several completed datasets” (Hill et al., 2005 )
Research was performed based on a sample group that included children from childhood (birth-12 yrs.); preschool age (2-5 yrs.); school age (6-12 yrs.) children whose parents employment status included 4 maternal employment …show more content…
not all maternal types were represented) as well as a few biases and assumptions might have been made regarding the data used to evaluate the subjects referenced. The study was based on observational not experimental data, which left opportunities for assumptions to be implied, perhaps appropriately or not. However, the strengths were represented in the methods used (MI and propensity scoring) to interpret and properly analyses the