The Center for Epidemiological Studies Depression‐10 (CES‐D‐10) scale is known for its good psychometric properties in measuring depressive symptoms, however, some researchers question its applicability across various settings. This study explored the factor structure of the CES‐D‐10 in low‐ and middle‐income countries (LMICs). This cross‐sectional survey consisted of 16,723 university students across 27 LMICs that completed self‐report instruments assessing socio‐demographic information and depressive symptoms using the CES‐D‐10. Data analysis included: exploratory factor analysis, item response theory and differential item functioning. Results indicate that a two‐factor model (depressive affect and positive affect) had the best fit for this population and accounted for 52% of the total observed variance with an internal consistency, α = .77 for the depressive affect items and α = .57 for the positive affect items. The graded response model (GRM), however, indicated that the depressive affect factor had a good fit, unlike the positive affect factor. The depressive affect factor was found to consistently model depression for females better than males. Relative to their Asian counterparts, African, Caribbean and South American participants of similar depressive affect responded differently on all items of the depressive affect factor. The depressive affect factor seems most ideal for LMICs and shows gender and cross‐cultural variability.
Research on the attrition of teachers of color suggests that, under certain organizational conditions, they leave teaching at higher rates than other teachers. Additionally, research has identified microaggressions experienced by Black teachers. Building on the literature, we explored how racism and microaggressions may help us understand Black mathematics teachers’ attrition. We designed and administered the Black Teachers of Mathematics Perceptions Survey and found that teachers’ experiences of microaggressions accounted for most of the variance in our modeling of teachers’ thoughts of leaving the profession. These data reveal that anti-Black, racist microaggressions should be addressed as organizational conditions to be mitigated. From a critical quantitative perspective, the data reveal sociocultural and sociopolitical influences that often go unnoticed in large-scale policy work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.