Sentence examples for levels occupations from inspiring English sources

–What were the different segments of society like during the time period (different socioeconomic levels, occupations, etc).? Were some people more susceptible than others, and why? –What historic events took place during the time of this epidemic, and how were these events affected by the epidemic?

Moreover, we present a series of exercises that analyzes several dimension of potential heterogeneity across individuals that belong to different education levels, occupations, sectors, marital statuses, cohorts, age groups, and training experiences.

Hence, we look at the relationship between early retirement and technical change across education levels, occupations, sectors, marital statuses, cohorts, age groups, genders, periods of permanence in the labor force, and training experiences.

Familial background variables included parental education levels, occupations, marital status, family structure, residence rented or owned, having cars/computers/internet access at home or not, adolescent having private bedrooms or not, only child or not, residential or commuter students, adolescents' monthly allowance levels.

Differences of WC distribution and WHR distribution among different cities, regions, ages, marital status, education levels, occupations, family income levels, smoking behaviour, drinking behaviour, frequency of physical activity, and the presence of specific chronic diseases were analysed by the Cochran-Mantel-Haenszel test and the Chi-square test, respectively.

Same as model 1 + education levels, occupation, smoking status, drinking frequency, physical activity, daily energy intake, and daily protein intake.

Chi-square analysis revealed no associations between depression and age, ethnicity, education levels, occupation or marital status (p > 0.05).

Similarly, the level of knowledge of TB and HBV of participants could be predicted by their age, educational levels, occupation and marital status (Tables  5, 6).

Chi-square analysis revealed no statistically significant association between depression and age, ethnicity, education levels, occupation or marital status (p > 0.05).

The logistic regression models were designed to estimate the probability of having pancreatic cancer, whereas incorporating the covariates of age, sex, serum cadmium levels, occupation, and smoking.

Job polarization typically reflects a declining share of "medium-level" occupations in the occupational structure, and increasing shares of "low-level" and "high-level" occupations.