Creation of Explanatory Variables

With several important exceptions, the explanatory variables used in the statistical analysis are either indexes or dichotomous variables. The latter are used to identify respondents who belong to particular occupational groups or who share particular social characteristics or beliefs.

Occupational Groups

1. Intellectual: This category includes all respondents who identified themselves as working in the field of science, culture, or education.

2. Student: This category includes all respondents who identified themselves as either full-time or part-time students.

3. Industrial worker: This category includes all respondents who, when asked about the group to which they belonged, identified themselves as workers.

4. Agricultural worker: This category includes all respondents who, when asked about the group to which they belonged, identified themselves as workers at a collective farm (kolkhoz) or state farm (sovkhoz).

5. Leader: This category includes all respondents who, when asked about the group to which they belonged, identified themselves as managers or supervisors.

Social Characteristics

1. Community size: The value of this variable is based on the respondent's place of residence at the time of the interview. The values were initially arranged as follows:

1. 1 = capital,

2. 2 = city,

3. 3 = town,

4. 4 = village.

1. Migrant: This category includes all respondents who had spent the majority of their childhood in a rural area but were living in a city at the time that the survey was conducted.

2. Education: This variable represents the respondent's level of education. The values were initially arranged as follows:

1. 1 = illiterate or primary,

2. 2 = incomplete secondary,

3. 3 = secondary,

4. 4 = specialized secondary,

5. 5 = higher education,

6. 6 = advanced degree.

1. Age: This variable represents the self-reported age of the respondent, divided by 100 for ease of comparison.

2. […]