Exact(1)
# age (A), gender (B: M = male, F = female), place of habitation (C: U = urban, R = rural), and residence (D: A = apartment, H = house), education level (E: 1-elementary school, 2-high school, 3- college or university), dog keeping (F: 0 = not, 1 = yes), cat keeping (G: 0 = not, 1 = yes).
Similar(59)
The age of housing, education level, and percentage of African-American births in a community were related to BLLs.
The income domain of the Indices of Deprivation used in the present study may not adequately account for explanatory socioeconomic differences, and the multiple measures (including number of cars available to a household, housing tenure, education level and socioeconomic employment classification) used by Moser et al may be more appropriate.
Law professor and sociologist Ifeoma Ajunwa is authoring a paper on hiring by algorithm, and she asserts that many of the data points we think of as "neutral" – housing status, education level, credit score or even criminal record – are actually wrapped up in assumptions that ignore elements of racial inequality.
Baseline characteristics included gender, age, ethnicity, housing status, education level, randomization group (DAART vs. SAT), drug use assessment of opioid or cocaine use, hazardous drinking, participation in pre-incarceration opioid substitution therapy and employment status.
"At this stage I would say that poverty in terms of household income, education level and housing benefit receipt, as well as the ability to heat your home, are the most important factors of the divide.
You will need documentation of things like your parents' household income, education level and profession, house value and any investments, along with personal income and assets.
Given the measures' importance, the authors decided to investigate how well the different poverty measures work by looking at 25 different characteristics of individuals, from car ownership and house size to education level and appliance ownership.
+Value adjusted for child age, housing, mother's education level, and father's education level.
In addition to key independent primary variables, we also considered BMI, housing status, and education level of cases and controls as potentially confounding variables.
When you first log in to LearnVest, the site will ask you a series of questions about your financial health (i.e. how much credit card debt do you have), you life stages (i.e. do you rent, are you planning a family soon, do you own a house) and your financial education level (i.e. have you checked your credit score lately).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com