anjie cao | 曹安洁

thank you Mike!!

Thank you Caroline :)

This of course did not mean that children were not getting better with age — but we hope this (somewhat) surprising finding can highlight the need for more robust reporting standards and more large-scale multi-laboratory projects (like ManyBabies!) (9/9)

We investigated each hypothesis, but found none of these explained the lack of age-related growth in most datasets! (8/9)

Hypothesis 4: Positive growth only after infancy. Maybe developmental changes were only observable after some age (e.g. in toddlerhood??) (7/9)

Hypothesis 3: Change in only a subset of conditions. Maybe developmental changes were only supposed to be observed in some specific conditions? (6/9)

Hypothesis 2: Methodological adaptation for older infants. Maybe studies testing older infants were using more difficult methods? (5/9)

Hypothesis 1: Age related selection bias against young children. Maybe studies testing younger infants were more likely to have publication bias? (4/9)

That’s very strange! Shouldn’t the children get better at the tasks as they get older? We came up with 4 hypotheses that can potentially explain the flatness of these curves (3/9)

To our surprise, we found that for most phenomena, there was no (linear) age effect at all — meaning that as children get older, the effect sizes in those tasks did not get larger! (2/9)

MetaLab

Developmental psychology has long studied how constructs change with age, but what are the shapes of these changes? We investigated this question by conducting a meta-meta-analysis over 25 developmental meta-analyses retrieved from metalab: langcog.github.io/metalab) (1/9)

Estimating Age‐Related Change in Infants' Linguistic and Cognitive Development Using (Meta‐)Meta‐Analysis Developmental psychology focuses on how psychological constructs change with age. In cognitive development research, however, the specifics of this emergence is often underspecified. Researchers ofte...

Our meta-meta-analysis is officially out! (w/ Molly Lewis, Sho Tsuji, @chbergma.bsky.social, @acristia.bsky.social, and @mcxfrank.bsky.social!)

Estimating age-related change in infants’ linguistic and cognitive development using (meta-)meta-analysis

onlinelibrary.wiley.com/doi/10.1111/...

6/
We’ll be at CogSci 2025 presenting this work!
Come find us in San Francisco. Happy to chat about all things looking time paradigms :)

5/
Why does this matter?
Habituation and dishabituation are often treated as separate cognitive predictors.
But our findings suggest they may tap into a shared process.

4/
Infants dishabituated more when the stimuli were simpler, and younger infants showed greater dishabituation overall.

3/
Key finding:
Individuals who habituate faster also show stronger dishabituation, in both infants and adults.
For adults, greater volatility in looking behavior during habituation (often seen as noise) also predicted stronger dishabituation.

2/
We analyzed large-scale looking-time data across the lifespan:
– Infants (N = 1986)
– Preschoolers (N = 33)
– Adults (N = 186)
This allowed us to test how attention unfolds over development—and what predicts its recovery when novelty appears.

1/
New Preprint (also my first time posting on BlueSky haha)!!!
How do individual differences in habituation shape dishabituation magnitude?
Work with Qiong Cao, @mcxfrank.bsky.social and @shariliu.bsky.social

osf.io/preprints/ps...

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