IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v28y2000i3p281-300.html
   My bibliography  Save this article

Effects of Introductions in Large-Scale Telephone Survey Interviews

Author

Listed:
  • HANNEKE HOUTKOOP-STEENSTRA

    (Utrecht Institute of Linguistics)

  • HUUB van den BERGH

    (Utrecht Institute of Linguistics)

Abstract

In this article, the effect of four different introductions on response rates in large-scale telephone surveys in the Netherlands in investigated. Three standardized scripted introductions with different numbers of content elements, in addition to a fourth agendabased introduction, were distinguished. In the latter, the interviewers formulated their own introductions on the basis of a limited number of catchwords. A total of 1,831 first telephone calls by 132 interviewers were analyzed; only first calls were taken into account. In a multilevel model, the three standardized scripted introductions did not differ much with respect to response rates, appointment rates, or refusal rates. However, the agenda-based introduction induced both higher response rates and higher appointment rates and, therefore, lower refusal rates.

Suggested Citation

  • HANNEKE HOUTKOOP-STEENSTRA & HUUB van den BERGH, 2000. "Effects of Introductions in Large-Scale Telephone Survey Interviews," Sociological Methods & Research, , vol. 28(3), pages 281-300, February.
    • Handle: RePEc:sae:somere:v:28:y:2000:i:3:p:281-300
    DOI: 10.1177/0049124100028003002
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124100028003002
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124100028003002?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. Harvey Goldstein & Roderick McDonald, 1988. "A general model for the analysis of multilevel data," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 455-467, December.
    2. I-F. Lin & N. C. Schaeffer, "undated". "Using survey participants to estimate the impact of nonparticipation," Institute for Research on Poverty Discussion Papers 1024-93, University of Wisconsin Institute for Research on Poverty.
    Full references (including those not matched with items on IDEAS)

    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. N. Longford & B. Muthén, 1992. "Factor analysis for clustered observations," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 581-597, December.
    2. Wai-Yin Poon & Hai-Bin Wang, 2010. "Analysis of a Two-Level Structural Equation Model With Missing Data," Sociological Methods & Research, , vol. 39(1), pages 25-55, August.
    3. Asim Ansari & Kamel Jedidi & Sharan Jagpal, 2000. "A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models," Marketing Science, INFORMS, vol. 19(4), pages 328-347, August.
    4. Roderick McDonald, 1993. "A general model for two-level data with responses missing at random," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 575-585, December.
    5. Nicholas J. Rockwood, 2020. "Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 275-300, June.
    6. Ke-Hai Yuan & Kentaro Hayashi, 2005. "On muthén’s maximum likelihood for two-level covariance structure models," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 147-167, March.
    7. Sik-Yum, Lee & Wai-Yin, Poon, 1995. "Estimation of factor scores in a two-level confirmatory factor analysis model," Computational Statistics & Data Analysis, Elsevier, vol. 20(3), pages 275-284, September.
    8. L. Ippel & M. C. Kaptein & J. K. Vermunt, 2019. "Estimating Multilevel Models on Data Streams," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 41-64, March.
    9. Robert Mislevy, 1991. "Randomization-based inference about latent variables from complex samples," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 177-196, June.
    10. Pietro Lovaglio & Giorgio Vittadini, 2013. "Multilevel dimensionality-reduction methods," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 183-207, June.
    11. Anna Ruelens & Bart Meuleman & Ides Nicaise, 2018. "Examining Measurement Isomorphism of Multilevel Constructs: The Case of Political Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 907-927, December.
    12. Jun Sun, 2020. "Ubiquitous Computing Capabilities and User-System Interaction Readiness: An Activity Perspective," Information Systems Frontiers, Springer, vol. 22(1), pages 259-271, February.
    13. Yahia S El-Horbaty & Eman M Hanafy, 2018. "Some Estimation Methods and Their Assessment in Multilevel Models: A Review," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(3), pages 69-76, February.
    14. Ojeda, M. M. & Juarez-Cerrillo, S. F., 1996. "Biplot display for diagnostic in a two-level regression model for growth curve analysis," Computational Statistics & Data Analysis, Elsevier, vol. 22(6), pages 583-597, October.
    15. RODERICK P. McDONALD, 1994. "The Bilevel Reticular Action Model for Path Analysis with Latent Variables," Sociological Methods & Research, , vol. 22(3), pages 399-413, February.
    16. Asim Ansari & Kamel Jedidi, 2000. "Bayesian factor analysis for multilevel binary observations," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 475-496, December.
    17. Andrea Elizabeth Gaughan & Forrest Robert Stevens & Narcisa Gabriela Pricope & Joel Hartter & Lin Cassidy & Jonathan Salerno, 2019. "Operationalizing Vulnerability: Land System Dynamics in a Transfrontier Conservation Area," Land, MDPI, vol. 8(7), pages 1-19, July.
    18. Yuan, Ke-Hai & Bentler, Peter M., 2005. "Asymptotic robustness of the normal theory likelihood ratio statistic for two-level covariance structure models," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 328-343, June.
    19. Joop J. Hox & Cora J. M. Maas & Matthieu J. S. Brinkhuis, 2010. "The effect of estimation method and sample size in multilevel structural equation modeling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 157-170, May.
    20. Ke-Hai Yuan & Peter Bentler, 2004. "On the asymptotic distributions of two statistics for two-level covariance structure models within the class of elliptical distributions," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 437-457, September.

    More about this item

    Statistics

    Access and download statistics

    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:28:y:2000:i:3:p:281-300. 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.