IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i3p1219-1238.html
   My bibliography  Save this article

Comparison of the quality estimates in a mixed-mode and a unimode design: an experiment from the European Social Survey

Author

Listed:
  • Melanie Revilla

Abstract

In the frame of the European Social Survey (ESS), a series of experiments were conducted to investigate if and how the ESS might move from the single face-to-face survey to a mixed-mode design. In order to determine this, many aspects have to be considered. As the ESS wants to maintain the possibility to compare its data across countries and across time, one of the requirements to introduce a mixed-mode design is that it leads to a similar data quality as the current unimode face-to-face design. In this study, we define the quality as the strength of the relationship between the latent concept of interest and the observed answers. Analyzing the experiment done in parallel of the ESS round 6 (2012–2013) in Estonia and the UK, we find that the quality is similar in the unimode and mixed-mode designs, at least for given scales. This is true both for single items and for composite scores. Therefore, standardized relationships in the main ESS round 6 and the mixed-mode experiments can be compared. Besides, for the composite scores, we also find metric and scalar invariance, meaning that unstandardized relationships and means can be compared for the two concepts tested across the unimode and the mixed-mode designs too. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Melanie Revilla, 2015. "Comparison of the quality estimates in a mixed-mode and a unimode design: an experiment from the European Social Survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1219-1238, May.
  • Handle: RePEc:spr:qualqt:v:49:y:2015:i:3:p:1219-1238
    DOI: 10.1007/s11135-014-0044-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0044-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-014-0044-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    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. Ensslen, Axel & Ringler, Philipp & Dörr, Lasse & Jochem, Patrick & Zimmermann, Florian & Fichtner, Wolf, 2018. "Incentivizing smart charging: Modeling charging tariffs for electric vehicles in German and French electricity markets," MPRA Paper 91543, University Library of Munich, Germany, revised 17 Feb 2018.
    2. Giovanni Franco, 2024. "The return of non-probability sample: the electoral polls at the time of internet and social media," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3811-3830, August.
    3. Liao Pei-shan & Saris Willem E. & Zavala-Rojas Diana, 2019. "Cross-National Comparison of Equivalence and Measurement Quality of Response Scales in Denmark and Taiwan," Journal of Official Statistics, Sciendo, vol. 35(1), pages 117-135, March.

    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. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    2. Liat Ayalon, 2018. "Perceived Age Discrimination: A Precipitator or a Consequence of Depressive Symptoms?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 860-869.
    3. Ihsana Sabriani Borualogo & Ferran Casas, 2023. "Bullying Victimisation and Children’s Subjective Well-being: A Comparative Study in Seven Asian Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 1-27, February.
    4. Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
    5. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    6. Paul MUKUCHA & Divaries Cosmas JARAVAZA & Forbes MAKUDZA, 2022. "Towards Gender-Based Market Segmentation: The Differential Influence of Gender on Dining Experiences in the University Cafeteria Industry," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(2), pages 182-200, June.
    7. Amber Mosewich & Valerie Hadd & Peter Crocker & Bruno Zumbo, 2013. "Invariance Testing of the SF-36 Health Survey in Women Breast Cancer Survivors: Do Personal and Cancer-related Variables Influence the Meaning of Quality of Life Items?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 559-577, January.
    8. repec:plo:pone00:0012412 is not listed on IDEAS
    9. Stéfanie André, 2014. "Does Trust Mean the Same for Migrants and Natives? Testing Measurement Models of Political Trust with Multi-group Confirmatory Factor Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(3), pages 963-982, February.
    10. Kroh, Julia & Globocnik, Dietfried & Schultz, Carsten & Holdhof, Frederike & Salomo, Søren, 2024. "Micro-foundations of digital innovation capability – A mixed method approach to develop and validate a multi-dimensional measurement instrument," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    11. Francisco J. Conejo & Lawrence F. Cunningham & Clifford E. Young, 2020. "Revisiting the Brand Luxury Index: new empirical evidence and future directions," Journal of Brand Management, Palgrave Macmillan, vol. 27(1), pages 108-122, January.
    12. Eldad Davidov & Stefan Thörner & Peter Schmidt & Stefanie Gosen & Carina Wolf, 2011. "Level and change of group-focused enmity in Germany: unconditional and conditional latent growth curve models with four panel waves," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 481-500, December.
    13. P. Couper, Mick & Cernat, Alexandru & Beth Ofstedal, Mary, 2015. "Estimation of mode effects in the Health and Retirement Study using measurement models," ISER Working Paper Series 2015-19, Institute for Social and Economic Research.
    14. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    15. Eva Padrosa & Mireia Bolíbar & Mireia Julià & Joan Benach, 2021. "Comparing Precarious Employment Across Countries: Measurement Invariance of the Employment Precariousness Scale for Europe (EPRES-E)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(3), pages 893-915, April.
    16. Willem E. Saris & André Pirralha & Diana Zavala-Rojas, 2018. "Testing the Comparability of Different Types of Social Indicators Across Groups," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 927-939, February.
    17. Zhenzhen Zhang & Thomas M. Braun & Karen E. Peterson & Howard Hu & Martha M. Téllez-Rojo & Brisa N. Sánchez, 2018. "Extending Tests of Random Effects to Assess for Measurement Invariance in Factor Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(3), pages 634-650, December.
    18. Manuel Sánchez-García & Joan Batista-Foguet, 2008. "Congruency of the Cognitive and Affective Components of the Attitude as a Moderator on Intention of Condom Use Predictors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(1), pages 139-155, May.
    19. Román, Francisco J. & Morillo, Daniel & Estrada, Eduardo & Escorial, Sergio & Karama, Sherif & Colom, Roberto, 2018. "Brain-intelligence relationships across childhood and adolescence: A latent-variable approach," Intelligence, Elsevier, vol. 68(C), pages 21-29.
    20. Pando-Garcia, Julián & Periañez-Cañadillas, Iñaki & Charterina, Jon, 2016. "Business simulation games with and without supervision: An analysis based on the TAM model," Journal of Business Research, Elsevier, vol. 69(5), pages 1731-1736.
    21. Yoo, Boonghee & Donthu, Naveen, 2001. "Developing and validating a multidimensional consumer-based brand equity scale," Journal of Business Research, Elsevier, vol. 52(1), pages 1-14, 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:spr:qualqt:v:49:y:2015:i:3:p:1219-1238. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.