ABSTRACT
Our work uses experimental methods to test children’s judgment/decision-making (JDM). Experimental work often focuses on task and process analyses at the group level, with individual differences treated as error variability. Here, we describe how to assess/interpret individual differences within experiments using single-subject design. Traditionally, single-subject design appears in single case studies, with issues of generalizability arising. Our approach, in contrast, involves groups of standard size, analyzed at the group and individual subject level. We then group individuals with similar patterns, for conclusions about the existence and contributions of systematic individual differences to development. Our examples here use Information Integration Theory (IIT). Our general perspective, however, could be useful for other experimental paradigms as well.
