Using Point-Of-View Video Modeling and Forward Chaining to Teach a Functional Self-Help Skill to a Child with Autism

This study examined the effectiveness of point-of-view video modeling in a forward-chaining procedure to teach a 4-year-old boy with autism to serve himself an afternoon snack. Task analysis was undertaken, and the task was divided into 3 phases with 1 video produced for each phase. A changing criterion design was used to evaluate the effects of the intervention on the participant’s ability to independently prepare and serve himself Weetbix. The results indicated that the combination of point-of-view modeling and forward chaining was effective in teaching the child to serve himself a snack without any prompting. The results also indicated that although the skill was maintained at follow-up, generalization to snacks other than Weetbix and to a different setting was limited. Parents reported satisfaction both with the procedures undertaken and with the outcomes of the intervention.     

Assessment and Development of Executive Function (EF) During Childhood

This review paper outlines the issues associated with the assessment of executive function (EF) in children and adolescents, and describes the developmental profile of executive processes across childhood. At the outset, EF is defined, and cognitive and behavioral impairments associated with executive dysfunction (EDF) are described. A developmental model of EF is proposed incorporating four discrete but inter-related executive domains (attentional control, cognitive flexibility, goal setting, and information processing) which operate in an integrative manner to enable “executive control”. Characteristics that constitute traditional EF measures are discussed, as are the problems associated with test interpretation. The ecological validity of EF tests and neuropsychological assessment procedures are examined, and adjunct methods of measurement are presented to enable a more comprehensive and valid assessment of EF. Based on developmental and normative studies, the maturation of executive domains is mapped. Attentional control appears to emerge in infancy and develop rapidly in early childhood. In contrast, cognitive flexibility, goal setting, and information processing experience a critical period of development between 7 and 9 years of age, and are relatively mature by 12 years of age. A transitional period is thought to occur at the beginning of adolescence, and shortly after “executive control” is likely to emerge. In order to confirm our current understanding of EF development and further enhance our understanding of brain-behavior relationships, longitudinal studies incorporating structural and functional neuroimaging are required.     

Cognitive-behavioral therapy and decision science

In recent decades cognitive-behavioral therapy (CBT) and decision science (DS) have emerged within the field of psychological science. Though these are two vastly different areas of study, they are similar in that they address human information processing, cognition, behavior, and the link between them. In this article, we provide brief summaries of CBT and decision science, discuss their similarities and differences, and discuss how future research can identify ways in which these fields can inform each other. Several CBT techniques that might be of use to the efforts of the decision science field to prevent cognitive biases are suggested. Research that integrates these two fields may lead to the improvement of both.     

Exploring the Hierarchical Structure of the MMPI–2–RF Personality Psychopathology Five in Psychiatric Patient and University Student Samples

In this study our goal was to examine the hierarchical structure of personality pathology as conceptualized by Harkness and McNulty's (1994) Personality Psychopathology Five (PSY–5) model, as recently operationalized by the MMPI–2–RF (Ben-Porath & Tellegen, 2011) PSY–5r scales. We used Goldberg's (2006) “bass-ackwards” method to obtain factor structure using PSY–5r item data, successively extracting from 1 to 5 factors in a sample of psychiatric patients (n = 1,000) and a sample of university undergraduate students (n = 1,331). Participants from these samples had completed either the MMPI–2 or the MMPI–2–RF. The results were mostly consistent across the 2 samples, with some differences at the 3-factor level. In the patient sample a factor structure representing 3 broad psychopathology domains (internalizing, externalizing, and psychoticism) emerged; in the student sample the 3-factor level represented what is more commonly observed in “normal-range” personality models (negative emotionality, introversion, and disconstraint). At the 5-factor level the basic structure was similar across the 2 samples and represented well the PSY–5r domains.     

The factor structure of the Anxiety Sensitivity Index among Northern Plains Native Americans

Within our current research climate, an emphasis has been placed on examining the cross-cultural applicability of psychological tools, and exploring their utility with people of different backgrounds. Within this line of investigation lies the risk of classifying people too broadly and masking important regional, tribal, or dialectical differences. This may be particularly potent among Native Americans, given the number of distinct indigenous entities. This study examined the psychometric characteristics of the Anxiety Sensitivity Index with a tribally homogeneous sample, as compared to previous tribally-heterogeneous and majority culture findings. Results suggested that data from a homogeneous Native American sample poorly fit factor solutions reported from heterogeneous Native American and Caucasian samples, and favored a unifactorial solution. Implications for assessment with Native American peoples are discussed.     

Adaptive user displays for intelligent tutoring software.

Intelligent tutoring software (ITS) holds great promise for K-12 instruction. Yet it is difficult to obtain rich information about users that can be used in realistic educational delivery settings--public school classrooms--in which eye tracking and other user sensing technologies are not suitable. We are pursuing three "cheap and cheerful" strategies to meet this challenge in the context of an ITS for high school math instruction. First, we use detailed representations of student cognitive skills, including tasks to assess individual users' proficiency with abstract reasoning, proficiency with simple math facts and computational skill, and spatial ability. Second, we are using data mining and machine learning algorithms to identify instructional sequences that have been effective with previous students, and to use these patterns to make decisions about current students. Third, we are integrating a simple focus-of-attention tracking system into the software, using inexpensive, web cameras. This coarse-grained information can be used to time the display of multimedia hints, explanations, and examples when the user is actually looking at the screen, and to diagnose causes of problem-solving errors. The ultimate goal is to create non-intrusive software that can adapt the display of instructional information in real time to the user's cognitive strengths, motivation, and attention.     

Differential fan effect and attentional focus

As people study more facts about a concept, it takes longer to retrieve a particular fact about that concept. This fan effect (Anderson, 1974) has been attributed to competition among associations to a concept. Alternatively, the mental-model theory (Radvansky & Zacks, 1991) suggests that the fan effect disappears when the related concepts are organized into a single mental model. In the present study, attentional focus was manipulated to affect the mental model to be constructed. One group of participants focused on the person dimension of personlocation pairs, whereas the other group focused on the location dimension. The result showed that the fan effect with the focused dimension was greater than the fan effect with the nonfocused dimension, which is contrary to the mental-model theory. The number of associations with a concept is indeed crucial during retrieval, and the importance of the information seems to be accentuated with attentional focus.