In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…

As part of the first author's expert testimony at a court trial, we investigated hindsight bias in perceptions of the predictability of a real flash flood. Participants were presented with pictures taken before the flash flood and asked to rate the muddiness of the water and judge the likelihood of flooding in Experiment 1. Participants who were…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…

Does student-teacher match quality exist? Prior work has documented large disparities in teachers' impacts across student types but has not distinguished between sorting and causal effects as the drivers of these disparities. I propose a disparate value-added model and derive a novel measure of teacher quality--revealed comparative advantage--that…

The study of anthropomorphism in adults has received considerable interest with the development of the Individual Differences in Anthropomorphism Questionnaire (IDAQ; Waytz, Cacioppo, & Epley, 2010). Anthropomorphism in children--its development, correlates, and consequences--is also of significant interest, yet a comparable measure does not…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

Prerequisite skill structures have been closely studied in past years leading to many data-intensive methods aimed at refining such structures. While many of these proposed methods have yielded success, defining and refining hierarchies of skill relationships are often difficult tasks. The relationship between skills in a graph could either be…

Significant advances have occurred regarding the understanding of etiologic processes that give rise to eating disorders and the design and evaluation of efficacious prevention programs and treatment interventions. Herein we offer suggestions regarding potentially fruitful directions for future research in these areas. We suggest it would be…

Purpose: How do children with autism spectrum disorders (ASD) extend a noun to the category of objects it labels? Given their tendency to perceive locally, their extensions might be too narrow. Given their social-communicative deficits and a context in which the knowledge of a social-communicative partner promotes narrow extensions, their…

Research has provided support for the existence of certain actor-observer and self-serving biases in individuals' retrospective analyses about the causes of behavior. A question that has been relatively unexplored deals with whether the findings on actor-observer differences and the self-serving pattern in attributions are generalizable to…