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

Appendix Q: Pair Relationship, Multiplicity, and Household
Count Model Summaries
Q.1 Introduction
The tables in this appendix list the covariates used in all the models that were run to
impute missing values in the pair relationship, multiplicity, and household count variables. For
each variable or set of variables to which the predictive mean neighborhood (PMN) imputation
method was applied, three models were run: one to adjust the weights for item nonresponse
(response propensity models), and a second and third to calculate predicted means. In the second
model, household composition was represented by the household size variable HHSIZE, and in
the third, household composition was represented by the household composition age count
variables. Imputation was sometimes performed within separate model groups. Thus, separate
tables are required for those model groups.
Section Q.2 deals with the pair relationship variables; Section Q.3 deals with the
multiplicity variables; and Section Q.4 deals with the household-level person count variables.
These models were applied at a pair level, whereas some of the variables in the models were
applied at a person level. To differentiate which respondent the person-level variable applied to,
the variable label is followed by a parenthetical "older" or "younger" to refer to the variable
corresponding to the older or younger respondent, respectively. If the respondents in the pair
were the same age, one of the respondents was randomly selected to be "older" or "younger."
Q.1.1 Screener and Segment-Level Variables
In the PMN procedure, statistical modeling was performed to adjust weights for item
nonresponse and also to calculate predicted means in the imputation models. Descriptions of
questionnaire-derived variables are described in detail in Chapter 6 of the main body of the text.
No such descriptions are available for screener and segment-level variables, however. The
following screener and segment-level variables were used often as covariates in both types of
models for the PMN procedures.
Census Region
The region was a four-level geographic variable recoded from the respondent's State of
residence. The four levels were Northeast, Midwest, South, and West.
CBSA
The core-based statistical area (CBSA) 31 variable classifies respondents according to their
living situation, whether it be in a rural or urban area and, if urban, the size of the urban area. It
was used to categorize segments where the respondents lived according to modified 2000 census
31 CBSAs, developed in response to standards put forth by the Office of Management and Budget (OMB),
are metropolitan and micropolitan areas that were designated using data from the 2000 census. More information
about CBSAs can be retrieved from http://www.census.gov/hhes/www/housing/resseg/cbsa.html.
Q-3