Coefficient estimates from a linear mixed effects model predicting whether an observation was missing.

Coefficient estimates from a linear mixed effects model predicting whether an observation was missing.

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Psychological scientists have become increasingly concerned with issues related to methodology and replicability, and infancy researchers in particular face specific challenges related to replicability: For example, high-powered studies are difficult to conduct, testing conditions vary across labs, and different labs have access to different infant...

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... test for effects of moderators on the presence of missing data, we constructed a categorical variable (missing), which was true if a trial had no included looking time (i.e., no looking recorded, a look under 2 s, or no looking because the experiment was already terminated) and false otherwise. We fitted a logistic mixed-effects model with all two-way interactions between method, age, and trial number, using the following specification: Table 5 shows the coefficient estimates from this model. To aid convergence, we centered and scaled age and trial number, and set single-screen presentation as the reference level. ...

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