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AMERICAN STATISTICAL ASSOCIATION1978PROCEEDINGSof theSECTION ON SURVEY RESEARCH METHODSPapers presentedthe AnnualatAmerican StatisticalMeeting of theAssociation, San Diego,California, August 14-17, 1978 under the Spon sorship of the Section on Survey ResearchMethods.Qaos UNIVERStTATSBIBLIOTHEKHANNOVERTIB/UB Hannover129 603 775TECHNISCHEINFORMATlGNSBtBUOTHEKAMERICAN80615th Street,STATISTICAL ASSOCIATIONN.W.Washington,D.C.2000589

TABLE OF HURE,MILESINTERVIEWINGS.(CATI)WAKSBERG, Westat ResearchDesign ConsiderationsComputer-Assisted Telephone Interviewing:of the Census;TELEPHONEROGERS, ROBERT J.ANITRA RUSTEMEYER, U.S. BureauUniversity of California at-MEEKER,Ange 1 es1Experiences with CATI in a Large-Scale SurveyUniversity of California at BerkeleyDiscussion-D.G.WILLIAM-L.NICHOLLSII, Survey Research Center,9HORVITZ, Research Triangle InstituteII.18IMPUTATION OF MISSING DATAChairman:MulttpleI.OLKIN, Stanford UniversityA Phenomenological Bayesian ApproachImputations in Sample SurveysRUBIN, Educational Testing Serviceto-Nonresponse-DONALD B.DiscussionHINKLEY,Rejoinder-HAROLD NISSELSON, ARTHUR P. DEMPSTER, WILLIAM G.INNIS G. SAKDE, CHARLES A. PATRICK-COCHRAN,20HOWARD WAINER,DAVID29DONALD RUBIN33III.IMPROVING RESPONSE VALIDITYChairman:Respondent Burden-NORMAN M.L.G.New Interviewing Techniques DesignedCenter for Health Services dHOWARD SCHUMAN,41Improve Validity of valuation ofCanadaUCLABRADBURN, University of ChicagoThe Measurement of a Middle Position in AttttudeUniversity of MichiganIV.REEDER,INSURVEYDESIGN ANDESTIMATIONR. PLATEK,.Statistics Canadaof Synthetic meMethods for Updating Sample Survey Frames and their EffectsG.H, CHOUDRY and G.B. GRAY, Statistics CanadaSome Recent Applications of Models to Problems of Estimation andROBERT E. FAY III, U.S. Bureau of the CensusveysonEstimation-J.D.DREW,62Inference from Census Bureau Sur 72-V.FOUNDATIONS OF SURVEY SAMPLINGChairman:OnInferenceandH.O. HARTLEY, Texas ASM UniversityEstimation from Sample Surveys-MORRIS H.HANSEN,WILLIAMG.MADOW and BENJAMIN82J. TEPPINGIv

sion-Discussion-ResponsetoV.P. GODAMBE,KEITHof Waterloo92Ohio State University3kUniversityR. EBERHARDT,WILLIAM G. COCHRAN97CARL ERIK SARNDAL,OSCARKEMPTHORNE,Universite de Montreal98Iowa State University100RICHARD ROYALL, The Johns Hopkins UniversityDiscussants-MORRIS H.HANSEN,WILLIAMCONTRIBUTEDI.STATISTICSG.102MADOW andPAPERSBENJAMIN J.OFFUNDSStatisticalDecision and Control Approaches for Allocation of FundsDepartment of Health, Education and Welfareofof Formulas and Data Used on the Allocation ofFederal Statistical Policy and StandardsTeasing Data for Policy Purposes-WILLS.tionsFederalWRAY-Funds-SMITH andMARIAISSUESMYERS, AdvisoryCommission onIN SURVEYS OF BUSINESS ANDOfficeIntergovernmentalRela ralizedanaPRESTON J.Sampling Program for the Current SurveysWAITE, Bureau of the CensusEstimation of Consumer CreditFederal Reserve Board1978atCommercialBanks-IntheCensus of AgricultureArea Sample DesignROGERS, U.S. Bureau of the Census-IndiaSOLD.MANN,124HELFAND, LAWRENCE128Industry DivisionHEINRICH MANTEL-134STEPHEN TAUBMAN, DARREL PARKE and JULES SHAPIRO,andMethodology-DAVIDD.CHAPMAN and CHARLES E.141Exact SmallatEVELYN S.139-Alabama-INDUSTRYSample Update of the Census Bureau's Monthly Business SurveysIMPETT and MITCHELL L. TRAGER, Bureau of the CensusGety,108114AnnualAnZALKIND,120II.ADAVIDELENA GONZALEZ,Problems with Data in Selected Formula Funded Programs as Applied to New York CityDepartment of City Planning and KEN FINLAYSON, Office of Management and BudgetR.103BY TOPICFOR ALLOCATIONEffectsTEPPINGD.C. DOSS, University ofSurvey Theory for Post-Stratification—Some New ResultsHuntsvillej H.O. HARTLEY, Texas ASM University and G.R. SOMAYAJULU, Osmanla Universi III.-148SATELLITE AGRICULTURE SURVEYSLandsat-Based Large Area Crop Acreage Estimation—An Experimental StudyR.S. CHHIKARA, LockheedElectronics Company, Inc. and A.H. FEIVESON, National Aeronautics and Space Administration155E.M. HSU,Assessing the Accuracy of the Landsat-Based Crop Acreage EstimatesCompany, Inc. and A.G. HOUSTON, National Aeronautics and Space Administration160--The Use ofLockheedElectronicsRICHARD S.Regression Estimation with Landsat and Probability Ground Sample DataSIGMAN, GEORGE A, HANUSCHAK, MICHAEL E. CRAIG, PAUL W. COOK and MANUEL CARDENAS, U.S. Departmentof AgricultureMultiphase Crop Acreage EstimationCal Ifornia at Berkeley-IncorporatingLandsatData-RANDALL165W. THOMAS, University of169v

Discussion-B.V.Iowa State calDisclosureControl175DISCLOSURELAWRENCE H.-CONTROLU.S.COX,Bureau of the CensusI77StatisticalAnalyses from Summary Data and their Impact on the Issue of ConfidentialityJOSEPHL. GASTWIRTH, George Washington University; ABBA M.KRIEGER, University of Pennsylvania; andDONALD B. RUBIN, Educational Testing Service-Discussion-THOMASB.JABINE, SocialData-Swapping--A TechniqueofStockholm andDiscussion-DAVIDSTEVENL.forP.Security AdministrationDisclosure ControlREISS,BrownNONRESPONSE ANDMore onImputingVersusUnivers i omic Surveys--ALAN R.I97Survey-EDWINL.ROB I SONDeleting When EstimatingScaleScoresC.H.-PROCTOR,Northand W. JOELCarolina State209Investigation of AlternativeTriangle InstituteI ternAllocating Unreported-SYLVESTER J.SocialSCHIEBER,Security Income onSecurity Admin Social212Nonresponse Adjustments-BRENDA G.COX and RALPHResearch219Correcting for Undercoverage Bias in Random Digit Dialed National Health SurveysBERRY, JR. and JAMED T. MASSEY, National Center for Health StatisticsDiscussionUniversity203Comparison of Three Alternative Techniques forthe Survey of the Low-Income Aged and DisabledistrationAn EmpiricalE. F0LS0M,andEducation and Welfareof Ration Estimates to Compensate forNonresponse BiasTUPEK and W. JOEL RICHARDSON, Bureau of the CensusEditingImputation of the 1977 TruckRICHARDSON, Bureau of the CensusUniversity191UseandBrownUniversityZALKIND, Department of Health,V.189TORE DALENIUS,-I83JOHNC.VI.BAILARIII, NationalNEW TECHNOLOGICALCancerOWEN T.-THORN-224InstituteDEVELOPMENTS230IN ESTIMATINGVariation on Area Segmenting and ListOpen-Ended Segments:and WILLIAM G. MACKENZIE, U.S. Bureau of the CensusMEASUREMENT ERRORSFrameSupplementation-IRENE C. MONTIE233Evaluationof Census Population Coverage by Network SurveysMONROE G. SIRKEN and BARRY J. GRAUBARD, National Center for Health Statistics; RICHARD W. LAVALLEY, Bureau of the Census-A ModelOCKAY,for NetworkU .S.Bureau(Multiplicity)ofthe CensusEstimation of Census Undercoverage-ELIS. MARKS andNon-Sampling VariancesinCurrentTexas AsM UniversityDiscussion-A.L.FINKNER,VII.Inferring HealthCorporat ionSurveysH.O.--CHRISTINA 0. GIBSON,251HARTLEY and PAUL ction of Survey Questions as It Related to Interviewer-Respondent BiasGARY M. SHAPIRO, LINDA R. MURPHY, GARY J. STANKO, U.S. Bureau of the CensusThe Estimation of239TriangleRESPONSEResponse BiasInstituteISSUES263IN SURVEYSfrom IS, The Rand265vi

Health DiariesLOIS M.-VERBRUGGE,University of Michigan271Effects of Supplemental Questions on Victimization Estimates from the National CrimeSurveyCHARLES D. COWAN, LINDA R. MURPHY and JUDYWIENER, U.S. Bureau of the CensusAnEmpirical Investigation of RefusalMCDONALD, Northeastern UniversityinRatesConsumer Surveys280In Reporting Supplemental Security Income Recipiency inVAUGHAN, Social Security PRATHER, GeorgiaDiscussionROBERT-Items:SURVEY METHODOLOGYSample Design(s)StatisticsCompositethe ConsumerR.-288Respondent Selection-JOHN R THE CONSUMER PRICEIndex Revision(1978)INDEXCURTIS-REVISIONA.Bureau ofJACOBS,forTechniquesBureauofLaborLaborTechniques Used fortheConsumerPriceIndex Revision-WILLIAM L. u ofLabor Statis PointContinuingofPurchaseSample Designs-CATHRYN S.DIPPO and WILLIAM D.Bureau of Labor StatisticsIX.MULTIPLE FRAME AND OTHER SAMPLE DESIGNSSampling of Two OverlappingDepartment of AgricultureEvaluating Alternative MethodsR. BOSECKER, USDAComparisonFruitUse oforforFramesCHAPMAN P.GLEASONandSURVEYSROBERTD.TORTORA,Determining Overlap Domain in Multiple Frame SurveysU.S.-RAYMOND325to Measure TreeNutNICHOLAS--IN AGRICULTURAL320of iveaJR.294ticsADENTON299I tern SelectionWithin OutletFRANKforPilot Household SurveyaUniversityFERBER, Universi ty ofVIII.andIncomeState277FREDERICK WISEMAN and PHILIP-ErrorsR.-J.LimbsCIAIC10Unequal Probability Samplingtoin the Random Path Technique for Estimating the Set ofCAIN, USDA331and MAXReduce Respondent Burden-ROBERT TORTORAandKEITHCRANK,USDA337Reducing Respondent BurdenCOLEMAN,MississippiX.onStatean s ofandJOHNA.the Randomized ResponseRESPONSE ANDTechnique-BARRY L.R.R.FORD, USDA;HOCKING and ANNE34lOTHERSURVEYISSUESfor Sampling Without Replacement-JONG-IK KIM346FLUECK, Temple UniversityAn Additive Randomized Response Model-JONG-IK KIM and JOHN A.FLUECK, Temple UniversityA Comparison of the Sensitivity of the Unrelated Question Randomized Response Model with ThreeOther Data Accumulation Techniques Using Examination Cheating as a ModelRONALD R. ROSENBLATT,Kansas State University and EDWARD L. KELLY, University of Idaho351-Response Styles in Telephone and HouseholdHealth SurveyL.A. JORDAN, A.C. MARCUS-APseudo-Replicate Estimate of Variance forCal Ifornla at DavisInterviewing: A Field Experiment from the Los AngelesL.G. REEDER, University of California at L.AandaFunction ofSample vi iMeans-ALAN356362FENECH, University of3 7

XI.ASURVEY RESPONSE MEASUREMENT ISSUESManagerial PerspectiveRENSHAW, LEAASome lCrime SurveySeries IncidentsBureau of the CensusU.S.BENJAMIN-ROBERT TZNER,(Victimization) Survey372REISS, JR., Yale urveyRICHARD W.-DODGE and HAROLD R.378Preliminary Examination of the Effects of Compensation for Interviews on the Response Quality inaROBERT L. HUBBARD and J. VALLEY RACHAL,Study of Drug Treatment ProgramsResearch TriangleInstitute; HAROLD M. GINZBURG, National Institute on Drug Abuse-EffectsCrimeof Survey ConditionsDAVID-L.VictimizationonResponse and ResponseBAYLESS, Research TriangleXII.VARIANCEESTIMATIONINOnApplying the Jack-KnifeaRepeatedEARLMulti-Survey EnvironmentforforFINCH, JR.,SocialSecur 392ProcedureInBARRONaandtotheRatio Estimator-PODURIS.R.S.RAO, UniversityComplex Multistage Sample:The Survey of Low Income AgedROBERT H. FINCH, JR., Social Security AdministrationSome Theory and Applications of-STANLEYLattice SamplingLEMESHOW, University ofXIII.DAVID E.-ofLomaABBEY,andDisabled(SLIAD)-A00Linda MPLINGOptimum Sample Allocation to Different Modes of EnumerationCensus and DAVID A. PYNE, Johns Hopkins UniversityAnCenter395Design EffectsDiscussionProcedures388ROBERT H.-ReplicationBRYANT, NationalRochesterERMA W.Surveying SchoolSURVEYS-inin387Relative Computational Efficiency of the Linearized and BalancedKURT MAURER, GRETCHEN JONES andComputing Sampling VariancesHealth StatisticsEstimating Sampling Variabilityity AdministrationQualityInstitute383-ISSUESKIRK M. WOLTER, U.S.Bureau ofthe4l4Application of Network Analysis to a Sample Allocation ProblemGLICKMAN, U.S. Department of Transportation-JUDITH C.SCHWENK and THEODORES.Edit andImputationintheLarge Scale ImputationtisticsofLabour Force SurveySurvey Data-CanadaM.J.-AN ISCOLLEDGE,VARIANCEESTIMATIONSomeProperties of T Confidence Intervals for Surveyversity of MinnesotaLAWRENCESuper CarpState UnlAJ.H.IANMACREDIE, Statistics CanadaJOHNSON, R. PAREI.G.and.425SANDE, Sta 431XIV.The CurrentASHRAF and420IN SAMPLE SURVEYSData-CATHYCAMPBELL and MICHAEL MEYER,Uni 437Population Survey Variances, Inter-Relationships and Design EffectsGEORGE TRAIN,U.S. Bureau of the Census; PAUL MAKENS, Bureau of Labor ticsCanada; WAYNE A. FULLER and ROY D. HICKMAN,443IowatyBetter AlternativeMAN, U.S. Bureau of444tothetheCollapsed Stratum Variance EstimateCensus-GARYM.SHAPIROandDAVID V.BATE-451vlli