The effects of primary reward on the I.Q. performance of grade-school children as a function of initial I.Q. level

The effect of candy reward on I.Q. scores was investigated in 72 first- and second-grade children. All subjects were administered Form A of the Peabody Picture Vocabulary Test and, based upon these scores, were divided into three blocks: low, middle, and high. From each block, subjects were randomly assigned to one of three conditions (contingent reward, noncontingent reward, or no reward) that were in effect during administration of Form B. Results showed that candy given contingent upon each correct response increased I.Q. scores for the initially low scoring subjects, but had no influence on the scores of middle and high scoring subjects.     

Verbal rehearsal and selective attention in children with learning disabilities: A developmental lag

To investigate the development of verbal rehearsal strategies and selective attention in learning disabled children, Hagen's Central-Incidental task was administered to younger learning disabled (M CA = 8.68 years) and normal (M CA = 8.62 years) boys in Experiment 1 and to intermediate (M CA = 10.18 years) and older (M CA = 13.48 years) learning disabled boys in Experiment 2. Also, in Experiment 2, an experimentally induced verbal rehearsal condition was included to determine its effects on serial recall and selective attention performance. In Experiment 1, the serial postion curve of the normals revealed both a primacy and a recency effect, whereas that of the learning disabled revealed a recency effect only. In Experiment 2, both the intermediate and the older learning disabled exhibited both primacy and recency effects under both standard and rehearsal conditions. A developmental analysis of central recall for the three learning disabled groups revealed constant age-related increases in overall central recall and in primacy recall. That the normals recalled more central, but not more incidental, information than the learning disabled in Experiment 1 suggests that the learning disabled are deficient in selective attention. Correlational findings suggest that the selective attention of the learning disabled improves with age. The results were interpreted as support for the hypothesis of a developmental lag in the learning disabled population.     

Clock control of human performance on avoidance and fixed-interval schedules

The avoidance and fixed-interval performances of human subjects were studied in two experiments. Addition of time-correlated stimuli (added clock) improved behavioral efficiency, since response rates decreased without decreases in reinforcement rates. Response-dependent display of the clock maintained a second, observing response and reductions in clock duration weakened such observing behavior. Generally, the reinforcing properties of the clock were more apparent with the avoidance than with the fixed-interval schedule, a finding attributed to temporal cues already provided by delivery of the fixed-interval reinforcers. Reduced rates of the main response when the clock was dependent on an observing response were more than offset by rates of the observing response in the majority of subjects. Thus, the results do not support an interpretation of the reinforcing properties of added clocks simply in terms of work reduction.     

A New Culture of Learning: Digital Storytelling and Faith Formation

How has the “new culture of learning” begun to transform us, and in what ways might the faith formation practices of religious communities be impacted by the shift? Recent research funded by the MacArthur Foundation lays an empirical basis for recognizing shifts in learning brought about by widespread access to digital technologies. The implications of that research, in turn, pose widespread challenges to the work of faith formation in contemporary communities of faith. Communicative theologies may be best poised to engage these challenges through the practices of digital storytelling.     

Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

Changes in Children's Episodic Narratives Through Long-Term Repeated Recall: Longitudinal Case Studies1

This study aimed to investigate whether a child's narrative of a particular past episode would change in repeated reporting over the long term, and if so, how it would change. To answer these questions, I conducted longitudinal case studies of episodic reports by children every 2–6 months, from their early childhood to the age of 10–15 years. Criteria for inclusion were set in advance; seven episodic narratives meeting these criteria were analyzed. Two types of changes in the narratives were observed, as expected: that of including other information, and that of an event suddenly being reported after no recall for several years. Information from the children's surroundings seemed to be substantially involved in these changes in their episodic narratives. The present results also indicate that mothers' episodic memories are not always reliable and that the schema children have can influence their episodic memories.     

Treating Childhood Social Anxiety Disorder With Virtual Environments and Serious Games: A Randomized Trial

Disseminating efficacious psychological treatments remains a challenge for researchers and clinicians. In the case of social anxiety disorder (SAD), Social Effectiveness Therapy for Children (SET-C) has been demonstrated as an efficacious intervention, but elements of the protocol, such as peer generalization sessions, remain challenging to conduct in typical clinical settings. To address this need, we developed an artificially intelligent, web-based application, Pegasys-VR™, designed to replace peer generalization sessions and enhance homework compliance. The feasibility of Pegasys-VR™ was tested in a randomized controlled trial in comparison to SET-C. The results indicated that both programs were equally efficacious in decreasing anxiety and improving social skill in social encounters. Sixty-three percent (63%) of children treated with SET-C and 60% treated with Pegasys-VR™ did not meet diagnostic criteria for SAD at posttreatment. Pegasys-VR™ is a feasible, efficacious, and dissemination-friendly element of a comprehensive treatment program for social anxiety disorder in children.     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.