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

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List of Exhibits (continued) Exhibit Page Exhibit H.1 Definitions of Levels for Pair-Level Calibration Modeling Variables ............... H-4 Exhibit H.2 Covariates for 2006 NSDUH Pair Weights ........................................................ H-6 Exhibit H.1.1 Covariates for 2006 NSDUH Pair Weights (sel.pr.ps) Model Group 1: Northeast and South.......................................................................................... H-12 Exhibit H.1.2 Covariates for 2006 NSDUH Pair Weights (res.pr.nr) Model Group 1: Northeast and South.......................................................................................... H-13 Exhibit H.1.3 Covariates for 2006 NSDUH Pair Weights (res.pr.ps) Model Group 1: Northeast and South.......................................................................................... H-14 Exhibit H.1.4 Covariates for 2006 NSDUH Pair Weights (res.pr.ev) Model Group 1: Northeast and South.......................................................................................... H-15 Exhibit H.2.1 Covariates for 2006 NSDUH Pair Weights (sel.pr.ps) Model Group 2: Midwest and West............................................................................................. H-22 Exhibit H.2.2 Covariates for 2006 NSDUH Pair Weights (res.pr.nr) Model Group 2: Midwest and West............................................................................................. H-23 Exhibit H.2.3 Covariates for 2006 NSDUH Pair Weights (res.pr.ps) Model Group 2: Midwest and West............................................................................................. H-24 Exhibit H.2.4 Covariates for 2006 NSDUH Pair Weights (res.pr.ev) Model Group 2: Midwest and West............................................................................................. H-25 xiv
CBSA DU ev GEM Half step Household-level Person count IQR MSA List of Terms and Abbreviations Core-based statistical area. Dwelling unit. Extreme value. See Sections 5.1 and 5.2 for more detail. Generalized exponential model. See Chapter 3 for more detail. This refers to halving the increment in the Newton-Raphson iterative process for fitting GEM. The number of pairs associated with a given domain in a given household. These counts are used as control totals in the poststratification step. See Chapter 6 for details on how these counts are created, and Chapter 4 for details on their use in poststratification. Interquartile range. Metropolitan statistical area. Multiplicity factor The number of pairs associated with a given respondent in a given domain. See Chapter 6 for more detail. nr Nonresponse. Outwinsor The proportion of weights trimmed after extreme value adjustment via winsorization. Pair domain A pair relationship where the target population is defined by one of the pair members, conditional on the attributes of the other pair member. Pair relationship The relationship between selected pair members. Parent-child A pair relationship where either both pair members identify the other as part of a parent-child relationship, or both pair members otherwise are determined to form a parent-child pair (either through other evidence or through imputation). PMN Predictive mean neighborhood. ps Poststratification. QDU Questionnaire dwelling unit: a household where at least one member responded to the questionnaire. res.pr.nr Respondent pair nonresponse adjustment step. See Section 7.3.3 for more detail. res.qdu.nr Respondent questionnaire dwelling unit nonresponse adjustment step. See Section 7.2.3 for more detail. res.pr.ev Respondent pair extreme value adjustment step. See Section 7.3.5 for more detail. xv
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: List of Exhibits Exhibit Page Exhib
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 and 30: 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
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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
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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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