Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and…

Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field. The "2020 Summary of Advances in Autism Research" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles…

Background: Accumulating data from animal and human studies indicate that the prenatal environment plays a significant role in shaping children's neurocognitive development. Clinical, epidemiologic, and basic science research suggests that two experiences relatively common in pregnancy--an unhealthy maternal diet and psychosocial…

Research on reading has tried, and failed, to account for wide disparities in reading skill even among children taught by the same method. Why do some children learn to read easily and quickly while others, in the same classroom and taught by the same teacher, don't learn to read at all? In "Language Development and Learning to Read", Diane…