2020
DOI: 10.1037/cap0000216
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Building a collaborative psychological science: Lessons learned from ManyBabies 1.

Abstract: The field of infancy research faces a difficult challenge: Some questions require samples that are simply too large for any 1 lab to recruit and test. ManyBabies aims to address this problem by forming large-scale collaborations on key theoretical questions in developmental science, while promoting the uptake of Open Science practices. Here, we look back on the first project completed under the ManyBabies umbrella-ManyBabies 1-which tested the development of infant-directed speech preference. Our goal is to sh… Show more

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Cited by 68 publications
(46 citation statements)
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“…Given that this was the first study to recruit and test bilingual infants at such a large scale and at so many sites, we encountered several challenges (see also Byers-Heinlein et al, 2020, for a fuller discussion of challenges in planning and conducting ManyBabies 1). First, several laboratories were not able to recruit the number of bilingual infants originally planned.…”
Section: Discussionmentioning
confidence: 99%
“…Given that this was the first study to recruit and test bilingual infants at such a large scale and at so many sites, we encountered several challenges (see also Byers-Heinlein et al, 2020, for a fuller discussion of challenges in planning and conducting ManyBabies 1). First, several laboratories were not able to recruit the number of bilingual infants originally planned.…”
Section: Discussionmentioning
confidence: 99%
“…Although some researchers may find it more challenging than others to conduct large studies on their own or to engage in large-scale collaborations, it is important to consider the value of carrying out research that may not be sufficiently powered in the first place (Brysbaert, 2020;Oakes, 2017). In recent years, more opportunities to take part in such large-scale collaborations have become available, and often do not require extensive resources to join (e.g., Byers-Heinlein et al, 2020;Frank et al, 2017;ManyBabies Consortium, 2020). Similarly, open science practices such as open sharing of stimuli and protocols between researchers can be useful in identifying procedures and materials (e.g., novel objects, number of trials, etc.)…”
Section: Discussionmentioning
confidence: 99%
“…Second, rule learning is expected to be more universal in its expression than the preference for IDS, which is thought to vary based on infants' own linguistic experiences (ManyBabies consortium, 2020;Byers-Heinlein et al, 2020). By examining a (theoretically) universal phenomenon, we will be able to better tease apart methodological factors from population-specific factors (which may be heavily confounded across laboratories).…”
Section: Rule Learning In Manybabiesmentioning
confidence: 99%