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

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Table 8.5 Percentages of Youths (12 to 17) Living with a Parent Reporting Lifetime, Past Year, and Past Month Use of Any Illicit Drug and Marijuana among Parent-Child (12 to 17) Pairs, Asked Whether Their Parents Had Spoken to Them about the Dangers of Tobacco, Alcohol, or Drug Use within the Past 12 Months: 2006 Drug Any Illicit Parent Talked about 2006 Dangers with Child n Baseline 1 Final 2 Lifetime Yes 2,405 21.44 (1.43) 21.46 (1.45) No 1,547 27.13 (1.91) 27.16 (1.96) Overall 3,952 23.82 (1.17) 23.82 (1.19) Past Year Yes 2,405 14.01 (1.02) 14.12 (1.04) No 1,547 17.69 (1.65) 17.79 (1.69) Overall 3,952 15.55 (0.92) 15.64 (0.95) 82 Past Month Yes 2,405 7.46 (0.76) 7.52 (0.76) No 1,547 9.11 (1.26) 9.01 (1.28) Overall 3,952 8.15 (0.71) 8.13 (0.72) Marijuana Lifetime Yes 2,405 13.72 (1.34) 13.77 (1.36) No 1,547 14.15 (1.41) 13.91 (1.42) Overall 3,952 13.90 (0.98) 13.83 (0.99) Past Year Yes 2,405 9.44 (0.90) 9.46 (0.92) No 1,547 10.05 (1.26) 9.83 (1.26) Overall 3,952 9.69 (0.75) 9.61 (0.76) Past Month Yes 2,405 5.27 (0.66) 5.26 (0.66) No 1,547 5.80 (1.07) 5.69 (1.09) Overall 3,952 5.49 (0.62) 5.44 (0.62) Note: Standard errors of prevalence estimates are provided in parentheses. 1 Baseline refers to the weight obtained from using a main effects only model for the last two steps of calibration, res.pr.ps and res.pr.ev, and a full model for preceding steps. 2 Final refers to the weight obtained using a full model throughout all steps of calibration.
Table 8.6a Percentages of Youths (12 to 17) Reporting Lifetime, Past Year, and Past Month Use of Alcohol and Tobacco among Mother-Child (12 to 17) Pairs, for Mother in the Pair, Asked Whether She Had Spoken to Her Children about the Dangers of Tobacco, Alcohol, or Drug Use within the Past 12 Months: 2006 83 Drug Alcohol Mother Talked about 2006 Dangers with Child n Baseline 1 Final 2 Lifetime 0 times 112 42.61 (8.09) 43.20 (7.88) 1-2 times 307 36.51 (5.24) 36.85 (5.39) A few times 647 34.94 (3.05) 33.99 (2.93) Many times 1,277 36.15 (2.15) 36.37 (2.21) Overall 2,343 36.20 (1.70) 36.15 (1.73) Past Year 0 times 112 27.24 (6.31) 28.50 (6.36) 1-2 times 307 26.51 (4.71) 26.71 (4.80) A few times 647 30.51 (3.04) 29.70 (2.90) Many times 1,277 29.76 (1.96) 30.02 (2.00) Overall 2,343 29.34 (1.52) 29.37 (1.52) Past Month 0 times 112 19.23 (5.42) 20.02 (5.47) Cigarettes 1-2 times 307 12.32 (2.94) 12.61 (3.03) A few times 647 13.65 (2.04) 13.66 (2.05) Many times 1,277 12.97 (1.21) 12.94 (1.23) Overall 2,343 13.36 (0.98) 13.42 (0.99) Lifetime 0 times 112 20.50 (5.59) 20.83 (5.55) 1-2 times 307 21.44 (4.37) 21.95 (4.46) A few times 647 17.00 (2.24) 17.12 (2.24) Many times 1,277 23.07 (1.95) 23.03 (2.01) Overall 2,343 21.12 (1.40) 21.22 (1.44) Past Year 0 times 112 8.54 (3.64) 9.05 (3.71) 1-2 times 307 15.92 (4.29) 16.25 (4.39) A few times 647 10.55 (1.92) 10.55 (1.92) Many times 1,277 15.70 (1.79) 15.70 (1.85) Overall 2,343 14.04 (1.29) 14.11 (1.32) Past Month 0 times 112 3.49 (1.81) 3.65 (1.90) 1-2 times 307 8.12 (3.85) 8.21 (3.89) A few times 647 6.43 (1.71) 6.41 (1.71) Many times 1,277 8.47 (1.08) 8.43 (1.10) Overall 2,343 7.65 (0.94) 7.64 (0.95) Note: Standard errors of prevalence estimates are provided in parentheses. 1 Baseline refers to the weight obtained from using a main effects only model for the last two steps of calibration, res.pr.ps and res.pr.ev, and a full model for preceding steps. 2 Final refers to the weight obtained using a full model throughout all steps of calibration.
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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
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 97: 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
Page 112 and 113: A-6
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 142 and 143: Table C.2b 2006 Distribution of Wei
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C-30
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Table C.3b 2006 Distribution of Wei
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Exhibit C.3.1 Covariates for 2006 N
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C-38
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Table C.4b 2006 Distribution of Wei
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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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