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

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Introduction<br />

Appendix C: GEM Modeling Summary for the<br />

<strong>Questionnaire</strong> <strong>Dwelling</strong> <strong>Unit</strong> Weights<br />

This appendix summarizes each questionnaire dwelling unit (QDU) model group<br />

throughout all stages of weight calibration modeling. Unlike much of the other information<br />

presented in this report, this section provides a model-specific overview of weight calibration, as<br />

opposed to a State- or domain-specific one.<br />

For 2006, modeling involved taking four model groups through three adjustment steps:<br />

(1) selected dwelling unit poststratification, (2) respondent dwelling unit nonresponse<br />

adjustment, <strong>and</strong> (3) respondent dwelling unit poststratification. After the final poststratification,<br />

the adjusted sampling weights were reasonably distributed <strong>and</strong> did not require the additional<br />

treatment of the extreme value (ev) step.<br />

Model-specific summary statistics are shown in Tables C.1a through C.4b. Included in<br />

these tables, for each stage of modeling, are the number of factor effects included; the high, low,<br />

<strong>and</strong> nonextreme weight bounds set to provide the upper <strong>and</strong> lower limits for the generalized<br />

exponential model (GEM) macro; weighted, unweighted, <strong>and</strong> winsorized weight proportions; the<br />

unequal weighting effect (UWE); <strong>and</strong> weight distributions. The UWE provides an approximate<br />

partial measure of variance <strong>and</strong> provides a summary of how much impact a particular stage of<br />

modeling has on the distribution of the new product of weights. For more details on bounds, see<br />

Section 4.1. At each stage in the modeling, these summary statistics were calculated <strong>and</strong> utilized<br />

to help evaluate the quality of the current weight component under the model chosen.<br />

Occurrences of small sample sizes <strong>and</strong> exact linear combinations in the realized data led<br />

to situations whereby inclusion of all originally proposed levels of covariates in the model was<br />

not possible. The text <strong>and</strong> exhibits in Sections C.1 through C.4 summarize the decisions made<br />

with regard to final covariates included in each model. For a list of the proposed initial covariates<br />

considered at each stage of modeling, see Exhibit C.2, <strong>and</strong> for the list of realized final model<br />

covariates, see Exhibits C.1.1 through C.4.3. The following sections establish a series of<br />

guidelines to assist in their interpretation.<br />

C.1 Final Model Explanatory Variables<br />

For brevity, numeric abbreviations for factor levels are established in Exhibit 3.1<br />

(included here as Exhibit C.1 for easy reference) in Chapter 3. There, a complete list is provided<br />

of all variables <strong>and</strong> associated levels used at any stage of modeling. Note that not all factors or<br />

levels were present in all stages of modeling, <strong>and</strong> the initial set of variables was the same across<br />

model groups but may change over stages of modeling. The initial c<strong>and</strong>idates are found in any of<br />

the proposed variables columns for a particular stage of weight adjustment. Exhibits C.1.1<br />

through C.4.3 provide lists of the proposed <strong>and</strong> realized covariates.<br />

C-3

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