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

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Table 6.1 Value of PAIRREL Levels of the Variable PAIRREL Domain of Interest? Interpretation 1 The respondent is part of a parent-child (12–14) pair. Yes 2 The respondent is part of a parent-child (15–17) pair. Yes 3 The respondent is part of a parent-child (18–20) pair. Yes, indirectly 4 The respondent is part of a parent-child (21+) pair. No 5 The respondent is part of a sibling (12–14)-sibling (15–17) pair. Yes 6 The respondent is part of a sibling (12–17)-sibling (18–25) pair. Yes 7 The respondent is part of another sibling-sibling pair. No 8 The respondent is part of a spouse-spouse 1 pair, with children in the Yes household younger than the age of 18. 9 The respondent is part of a spouse-spouse 1 pair, with no children in the Yes household younger than the age of 18. 10 The respondent is part of a spouse-spouse 1 pair, but it is unclear whether Yes children younger than the age of 18 in the household belong to the pair. 11 The respondent is part of a grandparent-grandchild pair. No 12 The respondent is part of another clearly identifiable pair. No 13 The respondent is part of a pair that is not clearly identifiable, but it is No clear from the relationship codes that it is not within codes 1 through 11. 14 The respondent is part of a pair that is not clearly identifiable, and it Maybe could be any pair relationship. 15 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 1 or 12. 16 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 2 or 12. 17 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 3 or 12. 18 The respondent is part of a pair that is not clearly identifiable, but it could No be pair codes 4 or 12. 19 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 5 or 12. 20 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 6 or 12. 21 The respondent is part of a pair that is not clearly identifiable, but it could No be pair codes 7 or 12. 22 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 8 or 12. 23 The respondent is part of a pair that is not clearly identifiable, but it could be pair codes 9 or 12. Maybe 28
Table 6.1 Levels of the Variable PAIRREL (continued) Value of PAIRREL Interpretation Domain of Interest? 24 The respondent is part of a pair that is not clearly identifiable, but it could Maybe be pair codes 8, 9, or 12. 25 The respondent is part of a pair that is not clearly identifiable, but it could No be pair codes 11 or 12. 99 The respondent is not a member of a pair. No 1 The pair relationship labeled "spouse-spouse" includes partner-partner pair relationships. 6.2.2.1 Matching the Household Rosters To match the household rosters of the pair members, let the pair members be identified as pair member "A" and pair member "B." For the household roster of pair member A, it was necessary to determine which listed household member in A's roster corresponded to the other selected pair member. The same had to be done for pair member B. This was accomplished using the age and gender of the pair members, in addition to a variable (hereafter referred to as MBRSEL) that was supposed to identify the roster member corresponding to the other selected pair member. In a perfect setting, the questionnaire age and gender of pair member B (AGE and IRSEX, respectively) would have corresponded exactly to the age and gender entered for one of the members of pair member A's household roster (RAGE and RSEX). Moreover, the value of MBRSEL for this roster member would have been 1, and the value of MBRSEL for all other roster members would have been 0 or missing. Table 6.2 provides an explanation of values of MBRSEL. In this perfect setting, exact matches with exactly one MBRSEL = 1 correctly identifying the other pair member also would have been found with pair member B's roster. This did not always occur, of course, so some effort was required to determine the roster member most likely to correspond to the other selected pair member. In fact, the quality of the match varied depending upon the quality of the roster entries and the time between interviews. There are a number of if-then-else conditions, called priority conditions (due to the hierarchical nature of the conditions), each of which gave a pair match that was considered valid in the vast majority of cases. These conditions are provided in Appendix O. In general, the conditions matched IRSEX and AGE for the one pair member against the age and gender of the roster members in the other pair member's roster, using MBRSEL to help identify the appropriate roster member. These conditions in general terms are provided in Table 6.2. It was necessary that at least one of the two pair members have a match as good as that shown below. 29
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 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: from other pair members was sometim
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 and 82: 7. Weight Calibration at Questionna
Page 83 and 84: Exhibit 7.2 Summary of 2006 NSDUH P
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 95 and 96:
Table 8.3a 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
Page 338:
• The number of roster members yo
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