Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling ...

pair member's roster and another pair member's interview age and gender and the ages did not
match exactly.
If no roster ages were missing, the sum of these counts was equal to the edited household
size, TOTPEOP. Note that the raw household size was not considered here, since the counts were
obtained from an edited roster. As with household size, a series of if-then-else conditions were
used to obtain the most likely count within each age group. These conditions are called priority
conditions due to their hierarchical nature. If the appropriate count was ambiguous due to
disagreement between the pair members, the quality of the roster and the age of the respondent
(in that order) were used to determine the appropriate count. The roster quality was determined
by the number of bad or missing roster entries (as indicated in the previous section) and the
quality of the match between the pair member's roster and the other pair member's questionnaire
age and gender. If only one household member was selected as a respondent, the rules were the
same as when two household members were selected in a pair, but only one of the pair members
had nonmissing data for the roster ages, with one important exception. When determining
minimum possible counts for various age groups, it was obviously not necessary to incorporate
information from another pair member to increment the minimum for that pair member. General
points about the creation of the age variables are provided in Appendix P.
6.2.3.3 Household Composition Age Count Variables for Males Only
For some pair variables, particularly spouse-spouse pairs, knowledge of the gender of the
roster member was important in imputing missing values. In a similar manner to that used in the
creation of the household composition age count variables, variables counting the number of
males within the given age ranges were created. Disagreements between pair members were
resolved in a similar manner to what was done with the household composition age count
variables, as described in the previous section. For a given age range, the number of females
could be obtained by subtracting the number of males from the total number within that age
range. The names of the male age counts were MALE011, MALE1214, MALE1517,
MALE1217, MALE1220, MALE1825, MALE2634, MALE3549, and MALE50P.
6.2.4 Creation of the Imputation-Revised Pair Relationship Variable IRPRREL
It was not always possible to definitively determine the pair relationship for the selected
pair. In some cases, the relationship codes between the two pair members could not be
reconciled. In other cases, no information was available at all about the type of pair relationship.
This section describes how those missing pair relationships were imputed using the PMN method
described in Appendix N. Since only the pair relationship was imputed, the imputation was
univariate in the sense that no sequential models were necessary. However, in some cases the
outcome variable was multinomial, which meant that matching was done on more than one
predicted mean for each recipient pair. The name given to the imputation-revised pair
relationship variable was IRPRREL.
6.2.4.1 Setup for Model Building
Pair relationships varied greatly according to the age of the respondent. Table 6.6
presents 11 age group pairs, followed by the pair relationships prevalent within each age group
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