Demographic Variables Sample Clauses
The Demographic Variables clause defines the specific demographic data points that will be collected, analyzed, or referenced within the context of an agreement or study. This may include variables such as age, gender, ethnicity, income level, or education, and typically outlines how these data points are to be gathered, stored, and used. By clearly specifying which demographic variables are relevant, the clause ensures consistency in data collection and analysis, thereby supporting accurate reporting and compliance with privacy or regulatory requirements.
Demographic Variables. These variables provide information about the demographic characteristics of each person. As noted below, some variables have edited and imputed values. Values of most demographic variables on this file are obtained during each round of the MEPS interview. These variables describe data for Panel 12 Round 3 and Panel 13 Round 1, as well as a number of characteristics that are not round specific. Date of birth and age for each RU member were asked or verified during each MEPS interview (AGE13X, ▇▇▇▇▇, ▇▇▇▇▇). If date of birth was available, age was calculated based on the difference between date of birth and date of interview. Inconsistencies between the calculated age and the age reported during the CAPI interview were reviewed and resolved. For purposes of confidentiality, the variable AGE13X was top coded at 85 years, and DOBYY bottom coded at 1923. When date of birth was not provided but age was (from either the MEPS or the NHIS data), the month and year of birth were assigned randomly from among the possible valid options. For any cases still not accounted for, age was imputed using (1) the mean age difference between MEPS participants with certain family relationships (where available) or (2) the mean age value for MEPS participants. For example, a mother’s age is imputed as her child’s age plus the mean age difference between MEPS mothers and their children, or a wife’s age is imputed as the husband’s age plus the mean age difference between MEPS wives and husbands. The variable SEX contains data on the sex of each RU member (SEX), as determined during the NHIS interview; it was verified and, if necessary, corrected during each MEPS interview. The data for new RU members (persons who were not members of the RU at the time of the NHIS interview) were also obtained during each MEPS round. When sex of the RU member was not available from the NHIS interview and was not ascertained during one of the subsequent MEPS interviews, it was assigned in the following way. The person’s first name was used to assign sex, if obvious. If the person’s first name provided no indication of gender, then family relationships were reviewed. If neither of these approaches made it possible to determine the individual’s sex, sex was randomly assigned.
Demographic Variables. We request age, sex/gender, racial identity, age at first arrest and incarceration, length of current incarceration, and current index charge for all participants enrolled in [project].
Demographic Variables. The participants will report on their demographic characteristics, such as gender, age, level of education, employment status, and their profession.
Demographic Variables. Table 2 presents the demographic variables in this study. These include teacher gender, age, and educational background classification. The first factor is gender, which is identified as a nominal variable where “1” stands for “female” and “2” for “male”. Second is age being recorded in six items where “1” means – “under 25”, “2” - “25-29”, “3” – “30-39”, “4” – “40-49”, “5” – “50-59” and “6” stands for “60-69” years old. Third is teachers’ educational background which is measured according to the International Standard Classification of Education (ISCED) on a seven-item scale: 1 stands for “below ISCED 3” which includes early secondary education and stages preceding it; 2 stands for “ISCED 3” meaning “Upper secondary education;” 3 stands for “ISCED 4,” meaning “Post-secondary non-tertiary education;” 4 stands for “ISCED 5” representing “Short-cycle tertiary education;” 5 stands for “ISCED 6” representing “Bachelor’s or equivalent level;” 6 stands for “ISCED 7” meaning “Master’s or equivalent level;” 7 stands for “ISCED 8” including “Doctoral or equivalent level” (OECD, 2017, p. 7).
Demographic Variables. Age, gender, and race were included in the model to control for their effects on the health outcomes under examination. Self-reported age in years was categorized into four groups based on comparisons of age distribution between the caregiver and non-caregiver groups. A dichotomous variable controlled for gender effects. A categorical variable denoting race was also included.