An Improved Randomized Response Strategy Author(s): N. S. Mangat Source: Journal of the Royal Statistical Society. Series B (Methodological), Vol. 56, No. 1 (1994), pp. 93-95 Published by: Wiley for the Royal Statistical Society Stable URL: http://www.jstor.org/stable/2346030 . Accessed: 29/01/2014 23:02 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. . Wiley and Royal Statistical Society are collaborating with JSTOR to digitize, preserve and extend access to Journal of the Royal Statistical Society. Series B (Methodological). http://www.jstor.org This content downloaded from 152.14.136.96 on Wed, 29 Jan 2014 23:02:18 PM All use subject to JSTOR Terms and Conditions J.R. Statist.Soc. B (1994) 56, No. 1,pp. 93-95 An ImprovedRandomizedResponse Strategy By N. S. MANGATt PunjabAgricultural University, Ludhiana,India [ReceivedJuly1991. Final revisionAugust 1992] SUMMARY A randomizedresponseprocedureis proposedwhichhas thebenefitof simplicity overthat of Mangat and Singh.Conditionsare obtainedunderwhichtheproposedstrategyis better thanthoseof Warneror Mangat and Singh. Keywords: EQUAL PROBABILITIES WITH REPLACEMENT; ESTIMATION OF PROPORTION; RANDOMIZED RESPONSE TECHNIQUE 1. INTRODUCTION To procure dataforestimating ofa population trustworthy ir,theproportion havinga sensitiveattributeA say, Warner(1965) introduceda procedurecalled the randomizedresponse(RR) technique.Subsequently, severalotherworkershave RR strategies variousalternative suggested (see Hedayatand Sinha (1991) fora review).Recently, Mangatand Singh(1990)proposeda two-stage RR procedure. Theirmethod,requiring theuse of tworandomized devices,makestheinterview Thismotivated a littlecumbersome. procedure theauthorto considera relatively Thesituation wheretherespondents simpleRR strategy. arenotcompletely truthful intheiranswershas also beenconsidered. 2. METHOD PROPOSED Each of n respondents, assumedto be selectedby equal probabilities with isinstructed tosay'yes'ifheorshehastheattribute replacement sampling, A. Ifheor she does not have attribute is requiredto use the Warner A, the respondent deviceconsisting oftwostatements: randomization A' and (a) 'I belongto attribute (b) 'I do nothaveattribute A', withprobabilitiesp andI -p respectively. represented Thenheorsheistoreport'yes' to theoutcomeofthisrandomization or 'no' according deviceandtheactualstatus toattribute thatheorshehaswithrespect A. Thewholeprocedure iscompleted bythe unobserved The probability respondent of a yesanswerforthis bytheinterviewer. is givenby procedure a = Xr+ (l-ir)(l-p). Ludhiana 141004, tAddressforcorrespondence:Departmentof Plant Breeding,Punjab Agricultural University, India. i 1994 RoyalStatisticalSociety This content downloaded from 152.14.136.96 on Wed, 29 Jan 2014 23:02:18 PM All use subject to JSTOR Terms and Conditions 0035-9246/94/56093 94 [No. 1, MANGAT inbothgroupA andgroupnot-A, Sincetheyesanswermaycomefromrespondents yeswillnotbe violated.However,the of thepersonreporting theconfidentiality 'no' willalwayscomefromgroupnot-A.Sinceitisassumedthat reporting individuals are stigma,therespondents to groupnot-Adoesnotcarryanyperceived belonging assumednotto objectto theprocedure. canbe easily of 'rfortheproposedprocedure likelihood estimator Themaximum seento be 7rm= (1+p)/p, of yesanswersobtainedfromthen sampled where&^is theobservedproportion individuals. for *m is unbiased B(n, a), theestimator Since(xfollowsthebinomialdistribution to thefollowing result. 7r.Thisleadssimply v(*m) arerespectively Theorem1. ThevarianceV(rm)anditsunbiasedestimator givenby V(jm) = r(1-x)/n + (1-wr)(1-p)/np (2.1) and V(Wm)= (I - a!)l(n-I)p 2.1. EfficiencyComparison On usingequation(2.3) of Mangatand Singh(1990)and equation(2.1) of this theorem. paper,we arriveat a resultstatedinthefollowing *m willbe moreefficient thantheMangat Theorem 2. The proposedestimator if and Singh(1990)estimator 7 > I - p(l T){1 -(1 -T)(l)} P)) ii> 1 {12p-1+ 2T(I1-p)}2 9 P 9 0.5, 'O5 (2.2) 22 intheirfirst thesensitive deviceandp attribute whereTis theprobability representing hasdecidedthevaluesofp and T,itiseasytoverify isas above.Oncetheinvestigator (2.2) byusinga priorguessaboutthevalueof 7rfroman earlierstudyor inequality T= 0, forwhichMangatandSingh's(1990)resultreducesto On putting pilotsurvey. (2.2), weobtainthefollowing. Warner's(1965)result,in inequality ismoreefficient thanthatofWarner(1965)if 3. Theproposedstrategy Theorem X > 1 - { p/(2p _ 1)}2, whichalwaysholdsforp> T3 3. INCOMPLETELY TRUTHFUL REPORTING thattherespondents tothesensitive classreport belonging Let T3betheprobability inthenon-sensitive Therespondents grouphaveno reasontotella lie.The thetruth. thusbecomes ofyesanswersfortheproposedprocedure probability , = wT3+ (l-7r)(1-p). This content downloaded from 152.14.136.96 on Wed, 29 Jan 2014 23:02:18 PM All use subject to JSTOR Terms and Conditions 1994] RANDOMIZED RESPONSE 95 Here,theestimator *m is biasedwith magnitude ofbiasgivenby B(*m) = 1r(T3-l)/p. Thenwehavethefollowing theorem forwhichtheproofis straightforward. Theorem4. Themean-square erroroftheestimator *m is givenby MSE(*m) ['rT3(1-XT3) + (1 -ir)(1 -p){(1 - (1 - w)(1 -p) - 2xT3} + {(T3 _ 1)}2] /p2. (3.1) Thisexpression can be comparedwithexpressions (1.3) and (3.3) of Mangatand Singh(1990)foran efficiency comparison basedontheminimum mean-square error. ACKNOWLEDGEMENTS The authoris grateful to therefereeand ProfessorRavindraSingh,fortheir valuablecomments and suggestions. REFERENCES Hedayat,A. S. andSinha,B. K. (1991)DesignandInference inFinitePopulation Sampling. NewYork: Wiley. Mangat,N. S. and Singh,R. (1990)An alternative randomized response procedure. Biometrika, 77, 439-442. Warner,S. L. (1965)Randomized response:a survey foreliminating technique evasiveanswerbias. J.Am. Statist.Ass., 60,63-69. This content downloaded from 152.14.136.96 on Wed, 29 Jan 2014 23:02:18 PM All use subject to JSTOR Terms and Conditions
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