2018
DOI: 10.1016/j.childyouth.2018.04.006
|View full text |Cite
|
Sign up to set email alerts
|

The educational attainment of maltreated youth involved with the child welfare system: Exploring the intersection of race and gender

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
9
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(10 citation statements)
references
References 26 publications
1
9
0
Order By: Relevance
“…These findings are closely in line with a recent study that found that race and gender alone did not predict educational attainment among child welfare-involved youth, but the intersection of race and gender (specifically being a Black male) predicted a lower likelihood of education completion (Cage, Corley, & Harris, 2018). Similarly, another study found that dually involved Black males are less likely to graduate high school than dually involved White males (Baetz, 2015).…”
Section: Discussionsupporting
confidence: 91%
“…These findings are closely in line with a recent study that found that race and gender alone did not predict educational attainment among child welfare-involved youth, but the intersection of race and gender (specifically being a Black male) predicted a lower likelihood of education completion (Cage, Corley, & Harris, 2018). Similarly, another study found that dually involved Black males are less likely to graduate high school than dually involved White males (Baetz, 2015).…”
Section: Discussionsupporting
confidence: 91%
“… The distribution of data must be approximately normal to test the t -test hypothesis. Categorization Investigator-constructed intersectional variables ( Bostwick et al, 2019 ; Cage et al, 2018 ; Chua et al, 2016 ; DuPont-Reyes et al, 2019 ; Hsieh & Ruther, 2016 ; Peck et al, 2014 ; Warner & Brown, 2011 ) This approach involves the creation of a single “intersectional” variable containing all possible combinations of the social axes of interest as unique levels of the variable. 429-62,302 2–3 Yes, when combined with other analytic approaches (e.g., regression analysis) that allow for the control of confounders This method serves as a preliminary step to setting up the data for an intersectional analysis (e.g., including the constructed intersectional variable in a regression model).…”
Section: Resultsmentioning
confidence: 99%
“…Table 3 summarizes results by study design and outcome. Across the 29 studies, 11 were cross-sectional [ 30 , 31 , 35 , 40 , 42 , 46 , 49 , 52 55 ], 16 were cohort [ 22 , 28 , 29 , 32 , 33 , 36 38 , 41 , 43 – 45 , 47 , 48 , 50 , 51 ], and 2 were experimental [ 34 , 39 ]. There were no quasi-experimental study designs that met the eligibility criteria for inclusion in this review.…”
Section: Resultsmentioning
confidence: 99%