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

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Table 6.7 Age Group Pair Number Modeled Pair Relationships within Age Group Pairs Age Group Pair Number of Levels in Response Levels of Modeled Response 0 12–14/12–14 2 Sibling-sibling; all others 1 12–14/15–17 2 Sibling-sibling; all others 2 12–14/18–25 2 Sibling-sibling; all others 3 15–17/15–17 2 Sibling-sibling; all others 4 15–17/18–25 2 Sibling-sibling; all others 5 18–20/18–25 3 Both spouse-spouse pair relationships; 1 all others 6 21–25/21–25 3 Both spouse-spouse pair relationships; 1 all others 7 12–14/26+ 2 Parent-child; all others 8 15–17/26+ 2 Parent-child; all others 9 18–20/26+ 2 Parent-child; all others 10 21+/26+ 3 Both spouse-spouse pair relationships; 1 all others 1 The two spouse-spouse pair relationships are the spouse-spouse and the spouse-spouse-with-children-younger-than-18 pair relationships. The pair relationships labeled "spouse-spouse" include partner-partner pair relationships. Covariates in models. After the weights were adjusted using the item response propensity model within each age group pair, binomial and multinomial logistic models were fitted using the adjusted weights with the response variable defined as in Table 6.7. As noted in previous sections, the number of covariates at the household level was limited. The pool of covariates used in the item response propensity model included the following variables: 1. household size (HHSIZE, as defined in Section 6.2.3.1), 2. age category of older respondent (where applicable), 3. race of older respondent, 13 4. gender of older respondent, 5. gender of younger respondent, 6. marital status of older respondent (where applicable), 14 7. marital status of younger respondent (where applicable), 8. education of older respondent (where applicable), 15 9. education of younger respondent (where applicable), 10. employment status of older respondent (where applicable), 16 11. employment status of younger respondent (where applicable), 12. region, 13 Race had four levels: white, black/African American, American Indian/Alaska Native, and Asian/Pacific Islander. 14 Marital status had four levels for respondents 15 or older: married, widowed, divorced, and never married. 15 Education had four levels for respondents 18 or older: less than high school, high school graduate, some college, and college graduate. 16 Employment status had four levels for respondents 18 or older: full-time employed, part-time employed, unemployed, and other (not in work force). 40
13. MSA (metropolitan statistical area), 14. categorical percent Hispanic or Latino in segment, 15. categorical percent black or African American in segment, and 16. categorical percent owner-occupied households in segment. In some cases, due to the ages of the pair members, the education, employment status, and marital status did not apply to one or both members of a pair. In order to increase the ability to obtain convergent models, some of the cells in the categorical covariates were collapsed. Additional variables defined in Section 6.2.3.2 were used to adjust the weights in the final response models for each of the 11 age group pairs in those cases where the variables were nonmissing. The variables follow: 1. number in household aged 0 to 11, 2. number in household aged 12 to 17, 3. number in household aged 18 to 25, 4. number in household aged 26 to 34, 5. number in household aged 35 to 49, and 6. number in household aged 50+. In the cases where these variables were all nonmissing, they were put into the pool of covariates for the final response model in place of HHSIZE. However, there were a handful of cases for which these variables could not be determined. In those cases, 11 additional final response models were fitted without the household composition age count variables listed above, using the same pool of covariates that were used for the item response propensity models. Building of models. For age group pairs 0 through 4 and 7 through 9, binary logistic regression models were built. Since there were three outcomes with age group pairs 5, 6, and 10, multinomial polytomous logistic models were fitted for these age group pairs. All the models incorporated the design pair weights that were ratio adjusted for unit nonresponse (where a pair was selected but did not respond to the survey) and calibrated to account for item nonresponse (where a pair responded to the survey but the pair relationship was unknown), using the item response propensity models, as described in Section 6.2.4.1. Naturally, not all of the covariates in the original pool could be included in each model due to convergence problems. The final set of covariates corresponding to each model is provided in Appendix Q. Determination of predicted means. Although models were built using respondent pairs where the pair relationship was known definitively, predicted probabilities were required for all pairs. Once the models were fitted, predicted means were determined for both respondent pairs and nonrespondent pairs, using the parameter estimates from the models. 41
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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 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: Table 6.6 Age Group Pair Number Age
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 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.,
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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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