Suchergebnisse
Suchergebnisse:
Access to Credit by Small Businesses: How Relevant Are Race, Ethnicity, and Gender? by Elizabeth Asiedu, James A. Freeman and Akwasi Nti-Addae. Published in volume 102, issue 3, pages 532-37 of American Economic Review, May 2012, Abstract: This paper employs data from the 1998 and 2003 Survey of Sma...
28. Nov. 2023 · Main facts and figures. 76% of working age people (16 to 64 year olds) in England, Scotland and Wales were employed in 2022. 77% of white people were employed, compared with 69% of people from all other ethnic groups combined. 82% of people from the ‘white other’ ethnic group were employed – the highest percentage out of all ethnic groups.
Psychological reactance is a motivational state aroused when real or perceived personal freedoms are threatened, reduced, or eliminated. Although psychological reactance theory has existed for almost 40 years, there is still dissent over some of its most basic characteristics. Research on age and ethnicity is scant, and research on gender has ...
Race/ethnicity and gender jointly and simultaneously structure the production and maintenance of health in the United States (Mullings & Schulz, 2006). 1 Wide disparities in health exist among older adults (Moen & Spencer, 2006; Williams & Wilson, 2001) and, despite overall improvements in health and targeted policy interventions, there is little evidence of these disparities narrowing over ...
Purpose: To examine, primarily, the effects of ethnicity and gender, which could introduce bias into scoring, on standardized patient (SP) assessments of medical students and, secondarily, to examine medical students' self-reported empathy for ethnicity and gender effects so as to compare self-perception with the perceptions of SPs.
12. Dez. 2012 · Gender, Race, Ethnicity, and Political Representation in the United States - Volume 8 Issue 4 Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites.
This report explores the complexities of adding ethnicity and gender to an an alysis of socio-economic Status (SES) gaps. It considers some of the ways in which gender, ethnicity and SES interact with education to produce or reduce social mobility. It then explores a vast body of research
