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

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winsorization), which is probably more realistic in determining the robustness of estimates in the presence of extreme values. A large increase in the number of predictor variables in GEM typically would result in a higher UWE, thus indicating a possible loss in precision. This was checked by comparing SUDAAN-based standard errors of a key set of estimates computed from two sets of calibration models, one baseline using only the main effects and the other using the final model. The results are presented in Chapter 8. To implement GEM, several steps need to be followed: (1) define and create all the covariates; (2) define the extreme weights; (3) fit the GEM model. The details of practical aspects of GEM implementation can be found in Chapters 4 and 5 of this report and Chapter 4 of Chen et al. (2008). 14
4. Predictor Variables for the Questionnaire Dwelling Unit and Pair Weight Calibration via the Generalized Exponential Model We note that unlike the person-level weight calibration, the control totals for the questionnaire dwelling unit (QDU)-level and person pair-level poststratification are not available from the U.S. Bureau of the Census. A way around this potential problem is to take advantage of the two-phase nature of the design, in which the screener data provides a large sample containing demographic information that can be used to derive control totals for the QDU-level and person pair-level sampling weight calibrations, as well as for the selected person poststratification adjustment. The stability of control totals from the screener dwelling unit (SDU)-level data can be improved by poststratification of the SDU sample using person-level counts from the census. This was indeed done and is documented in the person-level weight calibration report (Chen et al., 2008). 4.1 QDU Weight Calibration After the nonresponse and poststratification adjustments at the SDU level, which are common to the person-level weight calibration, the QDU sample weights were adjusted in three steps: poststratification of selected QDUs, nonresponse adjustment of respondent QDUs, and poststratification of respondent QDUs. The set of initially proposed predictor variables for these adjustments using generalized exponential model (GEM) were set to be common and to correspond to those used for the SDU nonresponse and poststratification adjustments. The variables are of two types: Those used for SDU nonresponse adjustment are 0/1 indicators, while those used for SDU poststratification adjustment are counting variables. The variables of the first type (0/1 indicators) are population density, group quarters, race/ethnicity of householder, percentage of persons in segment who are black or African American, percentage of persons in segment who are Hispanic or Latino, percentage of owner-occupied dwelling units (DUs) in segment, segment-combined median rent and housing value, and household type. Variables of the second type (counting variables) represent the number of eligible persons within each DU who fall into the various demographic categories of race, age group, Hispanicity, and gender. Note that the State and quarter variables are represented as both binary and counting variables. Thus, not only are DU counts within a specific State or quarter in the QDU sample controlled to the corresponding totals obtained from the SDU sample, but also counts of persons living in the DUs in the QDU sample are controlled to totals from the SDU sample. These person-level totals match the census estimates because of the SDU-level poststratification to census counts. It may be noted that in the poststratification of selected QDUs and the nonresponse adjustment of the respondent QDUs steps, demographic information from screener data was used in defining covariates, whereas in the poststratification of the selected QDUs step, questionnaire demographic information was used. Exhibit 4.1 lists all predictor variables proposed for QDU-level calibration and identifies them as counting, binary, or both. Various main effects and higher level factor effects based on 15
Page 1 and 2: 2006 NATIONAL SURVEY ON DRUG USE AN
Page 3 and 4: Preface This report documents the m
Page 5 and 6: Table of Contents Chapter Page Pref
Page 7 and 8: Table of Contents (continued) Appen
Page 9 and 10: List of Tables Table Page Table 1.1
Page 11 and 12: List of Tables (continued) Table Pa
Page 13 and 14: List of Exhibits Exhibit Page Exhib
Page 15 and 16: CBSA DU ev GEM Half step Household-
Page 17 and 18: 1. Introduction Traditionally, most
Page 19 and 20: produced a priori. It was anticipat
Page 21: to perform some treatment (such as
Page 24 and 25: P hij ( ) ⎡P P ⎤⎡ 1 1 ⎤ hi
Page 26 and 27: The QDU selection probability was d
Page 29: 3. Brief Description of the General
Page 33 and 34: Exhibit 4.1 Definitions of Levels f
Page 35: Exhibit 4.2 Definitions of Levels f
Page 38 and 39: e. Youth Only; f. Young Adult Only;
Page 41 and 42: 6. Editing and Imputation of Pair R
Page 43 and 44: from other pair members was sometim
Page 45 and 46: Table 6.1 Levels of the Variable PA
Page 47 and 48: Table 6.3 Measures of the Quality o
Page 49 and 50: identified pair member "A" as "othe
Page 51 and 52: performed at the household level ra
Page 53 and 54: pair member's roster and another pa
Page 55 and 56: Table 6.6 Age Group Pair Number Age
Page 57 and 58: 13. MSA (metropolitan statistical a
Page 59 and 60: different ways depending upon the a
Page 61 and 62: 5. parent-child (child 12 to 17), p
Page 63 and 64: ecause, even though the parent-chil
Page 65 and 66: collapsed with the two-parent house
Page 67 and 68: Sibling-sibling pairs. The likeness
Page 69 and 70: with children) lived within the hou
Page 71 and 72: 6.4.1.2 Sibling-Sibling Domains Whe
Page 73 and 74: 4. The respondent had a child and a
Page 75 and 76: parent-focus and child-focus counts
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Page 79 and 80: 6.4.3.3.3 Spouse-Spouse Counts For
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7. Weight Calibration at Questionna
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Exhibit 7.2 Summary of 2006 NSDUH P
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Table 7.1 Model Group QDU Sample Si
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7.2.5 QDU Weight Component #15: Res
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8. Evaluation of Calibration Weight
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8.5 Sensitivity Analysis of Drug Us
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Table 8.2a Percentages of Youths (1
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Table 8.4 Percentages of Youths (12
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References Ault, K., Aldworth, J.,
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Singh, A., Grau, E., & Folsom, R.,
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A-2
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A.2 GEM Adjustments for Extreme-Val
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A-6
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B-2
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B.1.1 Person Level B.1.1.1 Receivin
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B-6
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C-2
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To help understand what effects wer
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Exhibit C.1 Definitions of Levels f
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C.3 How to Interpret Collapsing and
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The number of respondents in that c
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Exhibit C.2 Covariates for 2006 NSD
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C-14
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Table C.1b 2006 Distribution of Wei
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Exhibit C.1.1 Covariates for 2006 N
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C-22
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C-30
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C-38
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D-2
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D-4
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E-2
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E-4 Table E.1 2006 NSDUH Selected Q
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E-6 Table E.2 2006 NSDUH Respondent
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F-2
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Table F.1 2006 NSDUH QDU-Level Slip
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G-2
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G-4 Table G.1 2006 NSDUH Selected Q
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G-6 Table G.2 2006 NSDUH Respondent
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H-2
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Exhibit H.1 Definitions of Levels f
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Exhibit H.2 Covariates for 2006 NSD
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H-8
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Table H.1b 2006 Distribution of Wei
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Exhibit H.1.1 Covariates for 2006 N
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H-16
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H-18
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Table H.2b 2006 Pair Weight GEM Mod
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H-26
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I-2
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Table I.1 2006 NSDUH Person Pair-Le
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J-2
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J-4 Table J.1 Domain 2006 NSDUH Sel
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J-6 Table J.2 2006 NSDUH Respondent
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J-8 Table J.3 Domain 2006 NSDUH Res
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J-10
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K-2
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Table K.1 2006 NSDUH Respondent Pai
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L-2
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L-4 Table L.1 2006 NSDUH Selected P
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L-6 Table L.2 2006 NSDUH Respondent
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L-8 Table L.3 2006 NSDUH Respondent
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L-10 Table L.3 2006 NSDUH Responden
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M-2
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procedures were implemented indepen
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first sorting variables). In genera
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predicted mean(s), the neighborhood
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N-2
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The PMM method is only applicable t
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type of constraint, called a "logic
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N-8
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O-2
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Table O.1 Rules for Determining Mat
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Table O.1 Rules for Determining Mat
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O-8 Table O.2 Priority Condition Ru
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O-10 Table O.2 Priority Condition 2
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Table O.2 Priority Condition Rules
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P-2
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P-4 Table P.1 Priority Condition, F
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Table P.1 Priority Conditions Used
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P-8 Table P.1 Priority Condition, F
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P-10 Table P.2 Priority Condition,
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P-18
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Q-2
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data, which was adjusted to more re
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Table Q.1 Model Group 3 (15-17, 15-
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Table Q.1 Model Group 9 (18-20, 26+
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Table Q.2 Pair Domain Sibling (12-1
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Table Q.3 Model Group Parent- Child
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Table Q.3 Pair Domain Spouse- Spous
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Table Q.4 Pair Domain Sibling (12-1
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Q-18
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R-2
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was not imputed, the indirect count
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1. The counts disagreed if a househ
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S-2
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with parent(s) in the household) fo
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• Both had counts of children wit
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− The other conditions had not al
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• The number of children in the s
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5. Two family units might be in the
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− − No bad relationship codes i
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elationship codes, and the sum of t
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• The pair relationship was not a
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• The screener count of roster me
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15. The count of the number of spou
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member had a spouse-spouse-with-chi
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• If the spouse-spouse counts exc
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• The number of roster members yo
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