Sentence examples for occupation were assessed using from inspiring English sources

The association of visual impairment with demographic variables such as age, gender, education and occupation were assessed using multiple logistic regression analysis.

In the O*NET data collection program, samples of workers in each occupation were assessed using questionnaires including items on work and worker characteristics.

Occupational social class (current or most recent occupation) was assessed using the UK three-category National Statistics Socio-Economic Claschemeation scheme (NS-SEC): mandgerial and professional; intermediate; and routine-manual.

Baseline information on education, occupation, medical history, tobacco smoking, physical activity and reproductive history were assessed using questionnaires and/or interviews.

Time trends were assessed using birth cohorts.

Potential interactions were assessed using logistic regression.

Differences between groups were assessed using ANOVA.

Socio-economic class (SEC) was assessed using the occupation of the chief earner in the household and was coded: AB, managerial/professional; C1, supervisory; C2, skilled manual; D, semi-skilled/unskilled manual and E, state pensioners or casual/lowest grade workers.

The effect of parental occupation and family affluence on episodes of drunkenness was assessed using separate logistic regression models controlling for age.

Physical activity was assessed using a previously validated 4-level occupation and recreation activity index [ 10].

Socio-economic status was assessed using surrogate markers such as the occupation of the primary caregiver, numbers of rooms at home, car, television, cell phone and internet connection.