The 2005 Household Health Survey was
a population-based statewide household telephone survey. The University of
Northern Iowa Center for Social and Behavioral Research was contracted to
complete the data collection for the survey. An oversample of African-American
and Latino children was also completed in order to have a sample that included
at least 200 children in each of those two racial/ethnic groups.
Phone numbers dialed included a
combination of random digit dial and targeted phone numbers obtained from a
private vendor. Targeted lists came from a variety of resources including white
pages and other lists (e.g., voter registration, magazine subscriptions,
warranty cards, census data). Screening questions were asked to determine if
the number was connected to a private residence, and if so, if there was at
least one child living in the household. The survey questions were answered by
the ‘adult most knowledgeable about the health and well-being’ of one randomly
chosen child in the household, and the questions were asked about that child.
The data collection, not counting the
oversample, yielded 3674 cases, 78% from the targeted sample and 22% from
randomly dialed numbers.
Respondents were primarily mothers
(77%) and fathers (18%). The other 5% of respondents included grandmothers
(2%), step-parents (2%), and 1% other relatives and guardians. Because 95% of
the respondents were either a mother or father, respondents will be referred to
as ‘parents’ throughout this report.
In order to account for biases
related to design and data collection factors, the data used in this report
were weighted to provide a representative sample of children in Iowa. Weighting
first consisted of accounting for biases related to family size (i.e., the
sampling design originally biased the sample toward children in smaller
families because the chances of being the child chosen for the survey were much
higher. A child in a one-child household was twice as likely to be the ‘chosen’
child as a child in a two-child household, etc.).
Also factored into the weighting were
biases related to having a partially targeted sample as opposed to a totally
random sample. Results from the targeted calls were compared with random digit
dial data, and both were compared to externally collected data sources. The
data were then weighted to match the income and age distribution from the 2000
Census.
Finally, a weight related to the
design effect was added for the analysis in order to make statistical testing
more conservatively accurate. Weights for individual cases range from .51 to
5.09, with a mean weight of .6163.
For these analyses, results were
reevaluated for different age categories of children (ages 0-4, 5-9, 10-14, and
15-17) and for three different income categories (lower: <133% FPL,
moderate: 133-200% FPL, and higher: >200% FPL.