Recently Published
Mega-analysis analogs
Paper: Kunin, L., Piccolo, S., Saxe, R., & Liu, S. (under revision). Meta-analytic evidence that stimulus- and expectation-driven novelty independently guide infant looking behaviour.
This document uses infant-level data to estimate the size of perceptual novelty (PN) and violation of expectation (VOE) effects, finds the moderators of both effects, and performs exploratory analyses further investigating significant moderators.
Moderator meta-analysis
Paper: Kunin, L., Piccolo, S., Saxe, R., & Liu, S. (under revision). Meta-analytic evidence that stimulus- and expectation-driven novelty independently guide infant looking behaviour.
This document investigates moderators of the perceptual novelty (PN) and violation of expectation (VOE) effects.
Estimating PN and VOE effects meta-analysis
Paper: Kunin, L., Piccolo, S., Saxe, R., & Liu, S. (under revision). Meta-analytic evidence that stimulus- and expectation-driven novelty independently guide infant looking behaviour.
This document estimates the size of perceptual novelty (PN) and violation of expectation (VOE) effects in condition level data, as well as tests for publication bias, the form of looking preferences, and runs a power analysis.
Join data
Paper: Kunin, L., Piccolo, S., Saxe, R., & Liu, S. (under revision). Meta-analytic evidence that stimulus- and expectation-driven novelty independently guide infant looking behaviour.
This document combines the data from papers and datasets provided by authors. It creates our meta-analysis data (condition-level data) and mega-analysis data (infant-level data).
Common format
Paper: Kunin, L., Piccolo, S., Saxe, R., & Liu, S. (under revision). Meta-analytic evidence that stimulus- and expectation-driven novelty independently guide infant looking behaviour.
This document takes individual infant level datasets and modifies them such that data is in a rectangular format and all datasets have the same column names.