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

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Table 6.2 Measures of the Quality of Definitive Roster Matches Measure Number Description 0 Age and gender matched exactly, with exactly one MBRSEL correctly identifying the other pair member 1 Age and gender matched exactly, with MBRSEL correctly identifying the other pair member, but there was more than one MBRSEL 1 2 Age within one, gender matched exactly, with exactly one MBRSEL correctly identifying the other pair member 3 Age within two, gender matched exactly, with exactly one MBRSEL correctly identifying the other pair member 4 Age and gender matched exactly, with MBRSEL missing for all roster members 5 Age matched exactly, gender off, with exactly one MBRSEL correctly identifying the other pair member 6 Age within one, gender matched exactly, with MBRSEL correctly identifying the other pair member, but there was more than one MBRSEL 1 7 Age within two, gender matched exactly, with MBRSEL correctly identifying the other pair member, but there was more than one MBRSEL 1 8 Age within one, gender matched exactly, with MBRSEL missing for all roster members 9 Age within two, gender matched exactly, with MBRSEL missing for all roster members 2 10 Age within 10, gender matched exactly, with exactly one MBRSEL correctly identifying the other pair member 2 1 Since the 2001 survey, it was technically impossible to identify more than one roster member as the "other pair member selected," resulting in either 0 or 1 MBRSEL for each responding pair. As a result, measures #1, #6, and #7 did not occur in the 2006 survey. 2 For pairs where one pair member had a match corresponding to measures #9 or #10, if the other pair member had a match no better than measure #9, an additional requirement was implemented where the reported household sizes for both pair members had to be equal to 2. Given that at least one side had a match according to one of the measures provided in Table 6.2, the other side could have a match that was weaker (i.e., not definitive), using the measures in Table 6.3. Additional columns are provided in Table 6.3, showing the weakest match that was allowed (as denoted by the measure) for the other pair member. The column titled "In Code" shows the weakest measure allowed in the code, and the column titled "Observed" shows the weakest measure that was actually observed for the other pair member. In the cases where a single roster member had to be selected among duplicates (measures #14 through #18), where the duplicates had the same relationship code, it was necessary that the relationship codes be limited to child or sibling. In some cases, due to the poor quality of the rosters of the pair members, it was not possible to locate the listed household member in A's roster that corresponded to pair member B, and vice versa. The determination of the pair relationships for these cases was left to imputation. Even when a pair of roster members was successfully identified, it was not always possible to successfully determine the pair relationship, as is pointed out in the next section. 30
Table 6.3 Measures of the Quality of Roster Matches That Are Not Definitive, Given That One Side Had a Definitive Match (as Shown by the Conditions Provided in Table 6.2) Weakest Measure Allowed Measure for Other Pair Member Number Description In Code Observed 11 Age within 10, gender matched exactly, with MBRSEL 8 4 missing for all roster members, provided another roster member with a closer age could not have been chosen 12 Everything missing, but the other pair member had good 9 3 data 13 Age missing, gender matched exactly, household sizes 9 8 equal 14 Age, gender, and relationship code matched exactly for two roster members, with two MBRSELs identifying the two roster members (one was randomly selected) 1 8 Not observed 15 Age, gender, and relationship code matched exactly for 8 0 two roster members, but MBRSEL was missing for all roster members (one was randomly selected) 16 Age and gender matched exactly for two or more roster 8 0 members, and MBRSEL was missing for all roster members (one with matching relationship code was randomly selected) 17 Age within one and gender matched exactly for two 8 Not observed (one was randomly selected) 1 roster members, both with the same relationship code, with two MBRSELs identifying the two roster members 18 Age within one and gender matched exactly for two 8 Not observed roster members, both with the same relationship code, but MBRSEL was missing for all roster members (one was randomly selected) 19 Age within one, gender off, with exactly one MBRSEL correctly identifying the other pair member, and only two members in household 10 0 20 No matches possible, but relationship codes indicate the pair is not a part of a domain of interest 21 Age matches exactly, gender off, with MBRSEL missing for all roster members As with other pair member As with other pair member 9 Not observed 22 No matches possible 9 5 1 Since the 2001 survey, it was technically impossible to identify more than one roster member as the "other pair member selected," resulting in either 0 or 1 MBRSEL for each responding pair. As a result, measures #14 and #17 did not occur in the 2006 survey. 31
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 and 44: from other pair members was sometim
Page 45: Table 6.1 Levels of the Variable PA
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
Page 97 and 98:
Table 8.4 Percentages of Youths (12
Page 99 and 100:
Table 8.6a Percentages of Youths (1
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Table 8.7a Percentages of Youths (1
Page 103 and 104:
References Ault, K., Aldworth, J.,
Page 105:
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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Page 160 and 161:
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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
Page 196 and 197:
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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
Page 222 and 223:
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
Page 232 and 233:
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
Page 238 and 239:
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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Page 268 and 269:
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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
Page 330 and 331:
• 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
Page 336 and 337:
• If the spouse-spouse counts exc
Page 338:
• The number of roster members yo
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