IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v35y2006i2p279-301.html
   My bibliography  Save this article

The Measure of Induced Abortion Levels in Mexico Using Random Response Technique

Author

Listed:
  • Diana Lara

    (Population Council, Regional Office for Latin America and the Caribbean, Mexico)

  • Sandra G. García

    (Population Council, Regional Office for Latin America and the Caribbean, Mexico)

  • Charlotte Ellertson

    (University of Michigan-Ann Arbor)

  • Carol Camlin

    (University of Michigan-Ann Arbor)

  • Javier Suárez

    (Ministry for Social Development, Mexico)

Abstract

The authors used the random response technique (RRT) to measure frequency of induced abortion in Mexico, where its practice is illegal under most circumstances. They applied RRT to a national, multistage probabilistic sample of 1,792 women ages 15 to 55. The distribution of women who reported having had an induced abortion was analyzed by sociodemographic characteristics. Bivariate and multiple logistic regression analyses were performed to identify factors associated with having had an induced abortion. Overall prevalence of induced abortion was 16.3 percent. Three factors were associated with reported induced abortion: having grown up in the city (bivariate odd ratio [OR] 2.16, multiple logistic OR 2.24), having never given birth (bivariate OR 1.60, multiple logistic OR 2.06), and having had an unwanted pregnancy (bivariate OR 2.09, multiple logistic OR 2.81). RRT produced a better estimation of induced abortion compared with other methodologies. This technique works best with urban and educated women.

Suggested Citation

  • Diana Lara & Sandra G. García & Charlotte Ellertson & Carol Camlin & Javier Suárez, 2006. "The Measure of Induced Abortion Levels in Mexico Using Random Response Technique," Sociological Methods & Research, , vol. 35(2), pages 279-301, November.
    • Handle: RePEc:sae:somere:v:35:y:2006:i:2:p:279-301
    DOI: 10.1177/0049124106290442
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124106290442
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124106290442?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Karen Foreit & Dorothy Nortman, 1992. "A method for calculating rates of induced abortion," Demography, Springer;Population Association of America (PAA), vol. 29(1), pages 127-137, February.
    2. James Abernathy & Bernard Greenberg & Daniel Horvitz, 1970. "Estimates of induced abortion in urban North Carolina," Demography, Springer;Population Association of America (PAA), vol. 7(1), pages 19-29, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. María del Mar García Rueda & Pier Francesco Perri & Beatriz Rodríguez Cobo, 2018. "Advances in estimation by the item sum technique using auxiliary information in complex surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(3), pages 455-478, July.
    2. Pier Francesco Perri & Elvira Pelle & Manuela Stranges, 2016. "Estimating Induced Abortion and Foreign Irregular Presence Using the Randomized Response Crossed Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 601-618, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Coutts Elisabethen & Jann Ben & Krumpal Ivar & Näher Anatol-Fiete, 2011. "Plagiarism in Student Papers: Prevalence Estimates Using Special Techniques for Sensitive Questions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(5-6), pages 749-760, October.
    2. Shen‐Ming Lee & Truong‐Nhat Le & Phuoc‐Loc Tran & Chin‐Shang Li, 2022. "Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1471-1502, November.
    3. Flannery, Timothy, 2018. "A new methodology for surveys and its application to forced response," Mathematical Social Sciences, Elsevier, vol. 91(C), pages 17-24.
    4. Guo-Liang Tian, 2014. "A new non-randomized response model: The parallel model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(4), pages 293-323, November.
    5. Arnab Raghunath & Shangodoyin Dahud Kehinde & Arcos Antonio, 2019. "Nonrandomized Response Model For Complex Survey Designs," Statistics in Transition New Series, Statistics Poland, vol. 20(1), pages 67-86, March.
    6. Diana Lara & Jennifer Strickler & Claudia Díaz Olavarrieta & Charlotte Ellertson, 2004. "Measuring Induced Abortion in Mexico," Sociological Methods & Research, , vol. 32(4), pages 529-558, May.
    7. Raghunath Arnab & Dahud Kehinde Shangodoyin & Antonio Arcos, 2019. "Nonrandomized Response Model For Complex Survey Designs," Statistics in Transition New Series, Polish Statistical Association, vol. 20(1), pages 67-86, March.
    8. Truong-Nhat Le & Shen-Ming Lee & Phuoc-Loc Tran & Chin-Shang Li, 2023. "Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present," Mathematics, MDPI, vol. 11(7), pages 1-26, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:35:y:2006:i:2:p:279-301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.