Generally, the variable name is a composite of the variable stem (three letters), the item block (two digits), and the item number (two digits). Furthermore, depending on the person- or family-format of the data sets, person code letters in variable names indicate that proxy information is given from and/or about a certain family member (see chapter 3.2 for person codes).
1. What information is in the variable name edu0100 in the ‘person format’ (‘long’ dataset)?
→ edu is the variable stem (type of education - self report), 0100 is ‘school attendance’
within the facet ‘type of education’.
→ pas is the variable stem (parental style - child report), the four digits 0100 are the
item number within the construct. In most cases , for s cale variables the first two
digits are the item block within the construct (01, parental style) and the last two
digits are the item number (00, shows affection); the variable extension m is the
person code (statement about the mother). Thus, this item as sesses the child’s rating
of parental style, more precisely on how much affection the parent, here the mother,
→ _s is the person code of the person who provides the information (sibling), _1 is the
data collection code (first data collection ). Thus, this item assesses the child’s rating of
parental style, more precisely on how much affection the parent (in this case mother)
shows - rated by the sibling in the first data collection.
- For example, ptyp_hq_1_1 provides information on the type of respondent for the household questionnaire in data collection one for the first household which belongs to the family.
- The variable pih_$_$ shows the household number of a person (e. g. pih_t_1 is the household number of the first-born twin in data collection 1).
- For example, the variable name eca0300t_1 shows that the statement was made for the first-born twin, but provides no information about the parent who filled in the questionnaire.
- Instead, the variable ptyp_cp_1 indicates which parent completed the questionnaire about their children in data collection 1.