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Verhage ML, Schuengel C, Duschinsky R, et al. The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis. Curr Dir Psychol Sci. 2020;29(2):199-206doi: 10.1177/0963721420904967.
Verhage, M. L., Schuengel, C., Duschinsky, R., van IJzendoorn, M. H., Fearon, R. M. P., Madigan, S., Roisman, G. I., Bakermans-Kranenburg, M. J., Oosterman, M. (2020). The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis. Current directions in psychological science, 29(2), 199-206. https://doi.org/10.1177/0963721420904967
Verhage, Marije L, et al. "The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis." Current directions in psychological science vol. 29,2 (2020): 199-206. doi: https://doi.org/10.1177/0963721420904967
Verhage ML, Schuengel C, Duschinsky R, van IJzendoorn MH, Fearon RMP, Madigan S, Roisman GI, Bakermans-Kranenburg MJ, Oosterman M. The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis. Curr Dir Psychol Sci. 2020 Apr;29(2):199-206. doi: 10.1177/0963721420904967. Epub 2020 Mar 20. PMID: 32655212; PMCID: PMC7324077.
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Curr Dir Psychol Sci. 2020 Apr;29(2):199-206. doi: 10.1177/0963721420904967. Epub 2020 Mar 20.

The Collaboration on Attachment Transmission Synthesis (CATS): A Move to the Level of Individual-Participant-Data Meta-Analysis.

Current directions in psychological science

Marije L Verhage, Carlo Schuengel, Robbie Duschinsky, Marinus H van IJzendoorn, R M Pasco Fearon, Sheri Madigan, Glenn I Roisman, Marian J Bakermans-Kranenburg, Mirjam Oosterman,

Affiliations

  1. Clinical Child and Family Studies, Vrije Universiteit Amsterdam.
  2. Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam.
  3. Department of Public Health and Primary Care, University of Cambridge.
  4. Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam.
  5. Research Department of Clinical, Educational and Health Psychology, University College London.
  6. Department of Psychology, University of Calgary.
  7. Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
  8. Institute of Child Development, University of Minnesota.

PMID: 32655212 PMCID: PMC7324077 DOI: 10.1177/0963721420904967

Abstract

Generations of researchers have tested and used attachment theory to understand children's development. To bring coherence to the expansive set of findings from small-sample studies, the field early on adopted meta-analysis. Nevertheless, gaps in understanding intergenerational transmission of individual differences in attachment continue to exist. We discuss how attachment research has been addressing these challenges by collaborating in formulating questions and pooling data and resources for individual-participant-data meta-analyses. The collaborative model means that sharing hard-won and valuable data goes hand in hand with directly and intensively interacting with a large community of researchers in the initiation phase of research, deliberating on and critically reviewing new hypotheses, and providing access to a large, carefully curated pool of data for testing these hypotheses. Challenges in pooling data are also discussed.

© The Author(s) 2020.

Keywords: attachment; individual-participant data; meta-analysis

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared that there were no conflicts of interest with respect to the authorship or the publication of this article.

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