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

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Folsom, R. E., & Singh, A. C. (2000). The generalized exponential model for sampling weight calibration for extreme values, nonresponse, and poststratification. In Proceedings of the 2000 Joint Statistical Meetings, American Statistical Association, Survey Research Methods Section, Indianapolis, IN (pp. 598-603). Alexandria, VA: American Statistical Association. [Available as a PDF at http://www.amstat.org/sections/srms/proceedings/] Folsom, R. E., & Witt, M. B. (1994). Testing a new attrition nonresponse adjustment method for SIPP. In Proceedings of the 1994 Joint Statistical Meetings, American Statistical Association, Social Statistics Section, Toronto, Ontario, Canada (pp. 428-433). Alexandria, VA: American Statistical Association. Hajek, J. (1971). Comment on D. Basu's paper, "An essay on the logical foundations of survey sampling, part one" [pp. 203-234]. In V. P. Godambe, & D. A. Sprott (Eds.), Foundations of statistical inference: A symposium (p. 236). Toronto, Ontario, & Montreal, Quebec, Canada: Holt, Rinehart and Winston of Canada. Iannacchione, V. (1982). Weighted sequential hot deck imputation macros. In Proceedings of the Seventh Annual SAS Users Group International Conference (pp. 759-763). Cary, NC: SAS Corporation. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: John Wiley & Sons. Morton, K. B., Chromy, J. R., Hunter, S. R., & Martin, P. C. (2007, January). Sample design report. In 2006 National Survey on Drug Use and Health: Methodological resource book (Section 2, prepared for the Substance Abuse and Mental Health Services Administration, Office of Applied Studies, under Contract No. 283-2004-00022, Phase II, Deliverable No. 8, RTI/0209009.230.004). Research Triangle Park, NC: RTI International. [Available as a PDF at http://www.oas.samhsa.gov/nsduh/methods.cfm#2k6] Penne, M., Chen, P., & Singh, A.C. (2001) Person-pair sampling weight calibration using the generalized exponential model for the National Household Survey on Drug Abuse. In Proceedings of the 2001 Joint Statistical Meetings, American Statistical Association, Survey Research Methods Section, Atlanta, GA [CD-ROM]. Alexandria, VA: American Statistical Association. [Available as a PDF at http://www.amstat.org/sections/srms/proceedings/] Rubin, D. B. (1986). Statistical matching using file concatenation with adjusted weights and multiple imputations. Journal of Business and Economic Statistics, 4(1), 87-94. Schafer, J. L. (1997). Analysis of incomplete multivariate data (No. 72, Monographs on Statistics and Applied Probability). Boca Raton, FL: Chapman and Hall/CRC. 88
Singh, A., Grau, E., & Folsom, R., Jr. (2001). Predictive mean neighborhood imputation with application to the person-pair data of the National Household Survey on Drug Abuse. In Proceedings of the 2001 Joint Statistical Meetings, American Statistical Association, Survey Research Methods Section, Atlanta, GA [CD-ROM]. Alexandria, VA: American Statistical Association. [Available as a PDF at http://www.amstat.org/sections/srms/proceedings/] Singh, A. C., & Mohl, C. A. (1996). Understanding calibration estimators in survey sampling. Survey Methodology, 22, 107-115. Williams, R. L., & Chromy, J. R. (1980). SAS sample selection MACROS. In Proceedings of the Fifth International SAS Users Group International Conference (pp. 382-396). Cary, NC: SAS Corporation. 89
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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
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 and 98: Table 8.4 Percentages of Youths (12
Page 103: References Ault, K., Aldworth, J.,
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 148 and 149: C-30
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Exhibit C.3.3 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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