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

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Table C.2b 2006 Distribution of Weight Adjustment Factors and Weight Products (Model Group 2: Midwest) SDU Weight QDU Design Weight sel.qdu.ps 1 res.qdu.nr 1 res.qdu.ps 1 1-10 duwght11 1-11 duwght12 1-12 duwght13 1-13 duwght14 1-14 Minimum 23 1.00 23 0.37 16 0.53 21 0.40 21 1% 109 1.00 117 0.64 113 1.00 122 0.88 120 5% 150 1.00 197 0.79 195 1.02 210 0.97 209 10% 220 1.00 383 0.85 372 1.05 395 0.99 389 25% 520 1.00 571 0.93 566 1.11 641 1.00 641 Median 623 1.08 795 1.00 812 1.18 930 1.00 931 75% 793 3.12 1,860 1.08 1,815 1.28 2,063 1.00 2,064 90% 1,264 5.87 3,981 1.18 3,853 1.41 4,886 1.01 4,893 C-24 95% 1,465 7.08 5,554 1.25 5,469 1.53 7,118 1.03 7,115 99% 1,881 10.91 8,929 1.55 9,719 1.84 12,930 1.09 12,969 Maximum 5,064 12.79 20,706 5.69 21,499 4.99 31,564 3.34 31,493 n 16,237 - 16,237 - 16,237 - 13,368 - 13,368 Mean 700 2.30 1,588 1.22 1,599 1.22 1,943 1.00 1,943 Max/Mean 7.24 - 13.04 - 13.44 - 16.25 - 16.21 QDU = questionnaire dwelling unit; SDU = screener dwelling unit. 1 For a key to modeling abbreviations, see Chapter 7, Exhibit 7.1.
Model Group 2 Overview Selected Questionnaire Dwelling Unit-Level Poststratification All main effects were maintained in full. Among two-factor effects, the race levels of American Indian or Alaska Native and Asian were collapsed together in Indiana and in Missouri due to convergence problems. All three-factor effects were maintained in full. Respondent Questionnaire Dwelling Unit-Level Nonresponse All main effects and two-factor effects were maintained in full. Among three-factor effects, the States of Illinois, Michigan, and Ohio each combined the race levels of black or African American with Other when crossed by Hispanicity. Respondent Questionnaire Dwelling Unit-Level Poststratification All main effects, two-factor effects, and three-factor effects were maintained in full. C-25
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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
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4. Predictor Variables for the Ques
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Exhibit 4.1 Definitions of Levels f
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Exhibit 4.2 Definitions of Levels f
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e. Youth Only; f. Young Adult Only;
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6. Editing and Imputation of Pair R
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from other pair members was sometim
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Table 6.1 Levels of the Variable PA
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Table 6.3 Measures of the Quality o
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identified pair member "A" as "othe
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performed at the household level ra
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pair member's roster and another pa
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Table 6.6 Age Group Pair Number Age
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13. MSA (metropolitan statistical a
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different ways depending upon the a
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5. parent-child (child 12 to 17), p
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ecause, even though the parent-chil
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collapsed with the two-parent house
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Sibling-sibling pairs. The likeness
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with children) lived within the hou
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6.4.1.2 Sibling-Sibling Domains Whe
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4. The respondent had a child and a
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parent-focus and child-focus counts
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the random imputation described ear
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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
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
Page 118 and 119: B-6
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
Page 132 and 133: C-14
Page 134 and 135: Table C.1b 2006 Distribution of Wei
Page 136 and 137: Exhibit C.1.1 Covariates for 2006 N
Page 140 and 141: C-22
Page 148 and 149: C-30
Page 156 and 157: C-38
Page 164 and 165: D-2
Page 166 and 167: D-4
Page 168 and 169: E-2
Page 170 and 171: E-4 Table E.1 2006 NSDUH Selected Q
Page 172 and 173: E-6 Table E.2 2006 NSDUH Respondent
Page 174 and 175: F-2
Page 176 and 177: Table F.1 2006 NSDUH QDU-Level Slip
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Page 180 and 181: G-4 Table G.1 2006 NSDUH Selected Q
Page 182 and 183: G-6 Table G.2 2006 NSDUH Respondent
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Page 186 and 187: Exhibit H.1 Definitions of Levels f
Page 188 and 189: Exhibit H.2 Covariates for 2006 NSD
Page 190 and 191: 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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