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

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assisted in bias reduction, ease of modeling, and workload reduction. Exhibit 7.3 provides more details of the data partition for GEM modeling. The resulting sample sizes of selected and respondent units for the pair and QDU data partitions are shown for the 2002–2006 surveys in Table 7.1. It may be noted that for the pair data in the 1999, 2000, and 2001 surveys, the built-in ev control feature of GEM was not used until the final respondent pair ev adjustment step. The reason for this is that the definition for ev domain was not finalized before the pair data calibration process was begun. However, for the 2002–2006 survey pair data, the built-in ev control feature was used for each adjustment step. Exhibit 7.1 Summary of 2006 NSDUH QDU Sample Weight Components Phase I Screener Dwelling Unit Level Design Weight Components #1 Inverse Probability of Selecting Census Tract #2 Inverse Probability of Selecting Segment #3 Quarter Segment Weight Adjustment #4 Subsegmentation Inflation Adjustment #5 Inverse Probability of Selecting SDU #6 Subsampling of Added SDU Adjustment #7 SDU Release Adjustment Weight Adjustment* #8 SDU Nonresponse Adjustment (res.sdu.nr) #9 SDU Poststratification Adjustment (res.sdu.ps) #10 SDU Extreme Value Adjustment (res.sdu.ev) Phase II Questionnaire Dwelling Unit Level Design Weight Component #11 Inverse of Selection Probability of at Least One Person in the Dwelling Unit Weight Adjustment* #12 Selected QDU Poststratification to SDU-based Control Totals (sel.qdu.ps) #13 Respondent QDU Nonresponse Adjustment (res.qdu.nr) #14 Respondent QDU Poststratification to SDU-based Control Totals (res.qdu.ps) #15 Respondent QDU Extreme Value Adjustment (res.qdu.ev) QDU = questionnaire dwelling unit; SDU = screener dwelling unit. * These adjustments use the generalized exponential model (GEM), which also involves pre- and post-processing in addition to running the GEM macro. See Exhibit 4.1 (Chen et al., 2008). For computational feasibility, all weight adjustments were done using the four model groups based on census regions defined in Exhibit 7.3. 66
Exhibit 7.2 Summary of 2006 NSDUH Person Pair Sample Weight Components Phase I Screener Dwelling Unit Level Design Weight Components #1 Inverse Probability of Selecting Census Tract #2 Inverse Probability of Selecting Segment #3 Quarter Segment Weight Adjustment #4 Subsegmentation Inflation Adjustment #5 Inverse Probability of Selecting SDU #6 Subsampling of Added SDU Adjustment #7 SDU Release Adjustment Weight Adjustment* #8 SDU Nonresponse Adjustment (res.sdu.nr) #9 SDU Poststratification Adjustment (res.sdu.ps) #10 SDU Extreme Value Adjustment (res.sdu.ev) Phase II Person Pair Level Design Weight Component #11 Inverse of Selection Probability of a Person Pair in SDU Weight Adjustment* #12 Selected Pair Poststratification to SDU-based Control Totals (sel.pr.ps) #13 Respondent Pair Nonresponse Adjustment (res.pr.nr) #14 Respondent Pair Poststratification Adjustment to SDU-based Control Totals (res.per.ps) #15 Respondent Pair Extreme Value Adjustment (res.per.ev) QDU = questionnaire dwelling unit; SDU = screener dwelling unit. * These adjustments use the generalized exponential model (GEM), which also involves pre- and post-processing in addition to running the GEM macro. See Exhibit 4.1 (Chen et al., 2008). For computational feasibility, all weight adjustments were done using the four model groups based on census regions defined in Exhibit 7.3. 67
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2006 NATIONAL SURVEY ON DRUG USE AN
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Preface This report documents the m
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Table of Contents Chapter Page Pref
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Table of Contents (continued) Appen
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List of Tables Table Page Table 1.1
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List of Tables (continued) Table Pa
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List of Exhibits Exhibit Page Exhib
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CBSA DU ev GEM Half step Household-
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1. Introduction Traditionally, most
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produced a priori. It was anticipat
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to perform some treatment (such as
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P hij ( ) ⎡P P ⎤⎡ 1 1 ⎤ hi
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The QDU selection probability was d
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3. Brief Description of the General
Page 31 and 32: 4. Predictor Variables for the Ques
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
Page 77 and 78: the random imputation described ear
Page 79 and 80: 6.4.3.3.3 Spouse-Spouse Counts For
Page 81: 7. Weight Calibration at Questionna
Page 85 and 86: Table 7.1 Model Group QDU Sample Si
Page 87 and 88: 7.2.5 QDU Weight Component #15: Res
Page 89 and 90: 8. Evaluation of Calibration Weight
Page 91 and 92: 8.5 Sensitivity Analysis of Drug Us
Page 93 and 94: Table 8.2a Percentages of Youths (1
Page 97 and 98: Table 8.4 Percentages of Youths (12
Page 103 and 104: References Ault, K., Aldworth, J.,
Page 105: Singh, A., Grau, E., & Folsom, R.,
Page 108 and 109: A-2
Page 110 and 111: A.2 GEM Adjustments for Extreme-Val
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Page 114 and 115: B-2
Page 116 and 117: B.1.1 Person Level B.1.1.1 Receivin
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Page 120 and 121: C-2
Page 122 and 123: To help understand what effects wer
Page 124 and 125: Exhibit C.1 Definitions of Levels f
Page 126 and 127: C.3 How to Interpret Collapsing and
Page 128 and 129: The number of respondents in that c
Page 130 and 131: 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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