In order to improve our understanding of the human mind it is essential to collect data by measuring brain and behavior. Proper interpretation of such data, however, requires coherent data analysis and the development of formal process models. Eric-Jan Wagenmakers advocates Bayesian analysis tools and instantiates cognitive mechanisms in specific mathematical models. Such models stimulate the development of new theory and allow a more effective interaction between psychology and neuroscience.
The Commission on Evidence-Based Policymaking has issued a report that points to significant new opportunities in research and leadership for psychological scientists with expertise in areas including judgment and decision making, analysis and research design, data privacy and ethics issues, and more. More
The William K. and Katherine W. Estes Fund, which was created to honor the legacy of influential psychological scientist Bill Estes, has awarded three grants for programs focused on increasing awareness of how computational tools, models, and data collection can improve all areas of psychological science. Overseen jointly by APS More
For many experimental psychologists, the go-to methodological designs are cross-sectional. Cross-sectional studies involve measuring the relationship between some variable(s) of interest at one point in time; some common examples include single-session lab studies and online surveys (e.g., via MTurk). These designs can be useful for isolating relationships between variables, establishing More