Application of the Randomized Response Technique in Obtaining Quantitative Data

Greenberg, Bernard; Kuebler, Roy R.; Abernathy, James R.; Horvitz, Daniel G.

doi:10.1080/01621459.1971.10482248

Cited by 255 publications

(98 citation statements)

References 5 publications

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“…2UNMSM, Departamento de Estadística, Lima-Perú 71 Warner (1965) realizó la primera propuesta para obtener respuestas válidas ante preguntas ernbarazosas basándose en la realización de dos preguntas mutuamente excluyentes (por ejemplo "A: Declaré mis ingresos extraordinarios el año pasado";' B: "No declaré mis ingresos extraordinarios el año' pasado"). Posteriormente, se desarrollaron otros métodos basados en Warner, como el denominado "método de alternativa forzada" de Fox y Tracy (1986), el método de la "pregunta inocua" tratado en los estudios de Campbell y Joiner (1973), el modelo de la pregunta no relacionada, en los estudios de Greenberg et al (1969), Moors (1971) y Lanke (1975 o el método "bougus pipeline" desarrollado por Jones y Sigall (1971), el modelo de respuesta aleatorizada para obtener datos cuantitativos presentado en Greenberg (1971), entre otros.…”

Section: Introductionunclassified

Modelos De Respuesta Aleatoria Estratificada: Una Aplicación a Estudiantes De La Facultad De Ciencias Matemáticas De La Unmsm

Dávila¹,

Ticerán²,

Rojas³

et al. 2014

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Resumen: En el presente trabajo estudiamos tres Modelos de Respuestas Aleatorizada (MRA) Estratificada, utilizadas en encuestas donde se utilizan preguntas delicadas (Kim y Elam,2003). Realizamos una aplicación en el comportamiento de jóvenes de la Facultad de Ciencias Matemáticas de la UNMSM, para investigar la proporción de personas que han consumido pasta básica de cocaína (PBC) por lo menos una vez en su vida; proporción de consumidores actuales del PBC; proporción de personas que han tenido relaciones sexuales con más de dos personas duran!e toda su vida; la proporción de personas que consumen alcohol todos los fines de semana y la proporción de persona que han llevado o han consumido sin pagar algún producto de algún supermercado. In the present work, we study three stratified randomized response models, used in surveys that involve sensitive question (Kim and Elam,2003). Made an application in the behavior of youths from the Faculty of Mathematical Sciences of San Marcos, to investigate the proportion of people who have consumed cocaine basic paste (CPB) at least once in life and the proportion of current users of the CPB and the proportion of people who had sex with more than two people for life and the proportion of people who consuming alcohol every weekend and the proportion of people who have been or are consumed without paying any products from a supermarket. The population in study were students matriculated in the half-yearly 2009 -11.

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Section: Introductionunclassified

Modelos De Respuesta Aleatoria Estratificada: Una Aplicación a Estudiantes De La Facultad De Ciencias Matemáticas De La Unmsm

Dávila¹,

Ticerán²,

Rojas³

et al. 2014

Pesquimat

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“…The final design we consider is the unrelated question design, which was developed by Greenberg, Abul-Ela, and Horvitz (1969) and Greenberg et al (1971). Under this design, randomization determines whether a respondent should answer a sensitive question or an unrelated, nonsensitive question.…”

Section: Unrelated Question Designmentioning

confidence: 99%

E-research – selected issues concerning the Internet attitudes and opinions research

Kulikowski¹

2015

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About a half century ago, in 1965, Warner proposed the randomized response method as a survey technique to reduce potential bias due to nonresponse and social desirability when asking questions about sensitive behaviors and beliefs. This method asks respondents to use a randomization device, such as a coin flip, whose outcome is unobserved by the interviewer. By introducing random noise, the method conceals individual responses and protects respondent privacy. While numerous methodological advances have been made, we find surprisingly few applications of this promising survey technique. In this article, we address this gap by (1) reviewing standard designs available to applied researchers, (2) developing various multivariate regression techniques for substantive analyses, (3) proposing power analyses to help improve research designs, (4) presenting new robust designs that are based on less stringent assumptions than those of the standard designs, and (5) making all described methods available through open-source software. We illustrate some of these methods with an original survey about militant groups in Nigeria.

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“…The remaining (1 − − ) proportion of respondents use Gupta et al (2013) optional unrelated question RRT model, in which the respondents are given the option to answer the research question directly if they don't find the research question sensitive. In case the respondents feel that the research question is sensitive, then they answer it using the Greenberg et al (1969) model or Greenberg et al (1971) model (depending upon the type of response). The split sample approach which requires a larger total sample size is not used.…”

Section: Introductionmentioning

confidence: 99%

“…In the proposed study, the respondents are asked two questions. A randomly selected proportion of respondents answer the main research question truthfully and a known proportion of respondents provide a randomized response to the research question using Greenberg et al (1969) model in binary response situations (or Greenberg et al (1971) model in quantitative response situations) in which the respondent uses the randomization device which bears the sensitive question with known probability and an unrelated innocuous question which has no possible embarrassment, is answered with probability (1 − ). The remaining (1 − − ) proportion of respondents use Gupta et al (2013) optional unrelated question RRT model, in which the respondents are given the option to answer the research question directly if they don't find the research question sensitive.…”

Section: Introductionmentioning

confidence: 99%