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

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Exhibit C.1 Definitions of Levels for QDU-Level Calibration Modeling Variables (continued) State a,b,3 Model Group 1: 1: Connecticut, 2: Maine, 3: Massachusetts, 1 4: New Hampshire, 5: New Jersey, 6: New York, 7: Pennsylvania, 8: Rhode Island, 9: Vermont Model Group 2: 1: Illinois, 2: Indiana, 3: Iowa, 4: Kansas, 5: Michigan, 6: Minnesota, 7: Missouri, 8: Nebraska, 9: North Dakota, 10: Ohio, 11: South Dakota, 12: Wisconsin 1 Model Group 3: 1: Alabama, 2: Arkansas, 3: Delaware, 4: District of Columbia, 5: Florida, 6: Georgia, 7: Kentucky, 8: Louisiana, 9: Maryland, 10: Mississippi, 11: North Carolina, 1 12: Oklahoma, 13: South Carolina, 14: Tennessee, 15: Texas, 16: Virginia, 17: West Virginia Model Group 4: 1: Alaska, 2: Arizona, 1 3: California, 4: Colorado, 5: Idaho, 6: Hawaii, 7: Montana, 8: Nevada, 9: New Mexico, 10: Oregon, 11: Utah, 12: Washington, 13: Wyoming State/Region b,3 Model Group 1: 1: New York, 2: Pennsylvania, 3: other 1 Model Group 2: 1: Illinois, 2: Michigan, 3: Ohio, 4: other 1 Model Group 3: 1: Florida, 2: Texas, 3: other 1 Model Group 4: 1: California, 2: other 1 DU = dwelling unit; MSA = metropolitan statistical area; QDU = questionnaire dwelling unit. 1 The reference level for this variable. This is the level against which effects of other factor levels are measured. 2 Segment-Combined Median Rent and Housing Value is a composite measure based on rent, housing value, and percent owner occupied. 3 The States or district assigned to a particular model is based on census regions. a Counting variable. A count of all persons in the household. b Binary variable. C-6
C.2 Glossary of Terms Used in the Description of the Variables in the Final Model Factor effect. The factor effect represents the effects of levels considered for one factor, two factors, and higher order factors. Reference/reference set. Factor effects composed of reference levels are not explicitly listed in the set of model variables. However, these effects manifest themselves either separately or in combination with other factors depending on the presence of other factors in the model. All levels present. All effects and all levels of the factor under consideration are in the model. Coll. (levels). Collapse these factor effects together. Factor effects that have been collapsed with others manifest themselves jointly in the model. Drop all levels. All factor effects are completely removed from the model for all levels and any combinations involving this factor. Drop level(s). Collapse these factor effects into the reference set. The factor effects comprising the dropped levels are manifested jointly with either some or all of the factor effects in the reference set. Drop level(s); sing. During the modeling process the factor effects listed are removed from the model due to singularity. Drop level(s); zero cnts. During the modeling process the factor effects listed are removed from the model due to zero sample. Hier. One or more of the effects in a higher order interaction is collapsed or dropped in an interaction at a lower order, either eliminating or combining factors of higher order interactions with that effect. Do the same for (effects). Repeat the previous step for all effect levels listed. Drop or Collapse using*. The asterisk is used as a wild card character to indicate all levels of the factor for that effect. Note: The above glossary is given as a list of general terms. Certain other specific terms are sometimes used within a particular section. C-7
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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
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Table 6.3 Measures of the Quality o
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identified pair member "A" as "othe
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performed at the household level ra
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pair member's roster and another pa
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Table 6.6 Age Group Pair Number Age
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13. MSA (metropolitan statistical a
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different ways depending upon the a
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5. parent-child (child 12 to 17), p
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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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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.,
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 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 148 and 149: C-30
Page 156 and 157: C-38
Page 164 and 165: D-2
Page 166 and 167: D-4
Page 168 and 169: E-2
Page 170 and 171: E-4 Table E.1 2006 NSDUH Selected Q
Page 172 and 173: 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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