TY - JOUR
T1 - The Collaboration on Attachment Transmission Synthesis (CATS)
T2 - A Move to the Level of Individual-Participant-Data Meta-Analysis
AU - The Collaboration on Attachment Transmission Synthesis
AU - Verhage, Marije L.
AU - Schuengel, Carlo
AU - Duschinsky, Robbie
AU - van IJzendoorn, Marinus H.
AU - Fearon, R. M.Pasco
AU - Madigan, Sheri
AU - Roisman, Glenn I.
AU - Bakermans–Kranenburg, Marian J.
AU - Oosterman, Mirjam
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
KW - attachment
KW - individual-participant data
KW - meta-analysis
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U2 - 10.1177/0963721420904967
DO - 10.1177/0963721420904967
M3 - Article
C2 - 32655212
AN - SCOPUS:85082187435
SN - 0963-7214
VL - 29
SP - 199
EP - 206
JO - Current Directions in Psychological Science
JF - Current Directions in Psychological Science
IS - 2
ER -