Improving responding to questioning using a brief retrieval training

This research examined the effect of a brief training procedure for enhancing responding to questions about witnessed events. The training was based in research on metacognition and memory, and emphasized: attending to questions, searching for multiple responses, and weighing confidence in and considering the source of responses. In the main study, adult participants viewed a video of a burglary and after a 25 min delay half received the training. All participants were then asked answerable and unanswerable questions about the video. The training resulted in fewer errors and more rejections to unanswerable questions. Analysis of response diagnosticity indicated that responses made by the trained group were more likely to be correct responses to answerable questions. A second study showed that these findings were not due to awareness of the presence of unanswerable questions. The procedure has potential as a supplement when questioning is pursued.     

Measurement variability in infant and maternal behavioral assessment

Evaluations of methodological assessments sometimes show similar, sometimes different patterns of findings reflective of different approaches to the same problem. In this study, frequencies of behaviors of infants and mothers in two cultures based on continuous coding were compared with frequencies based on time-sampling, and resulting patterns of findings were evaluated. Time-sampling and continuous coding give different estimates of absolute frequency of typical infant and maternal behaviors between individuals and between cultural groups. However, time-sampling adequately preserves the relative ranking of infant and mother behaviors among individuals and between cultural groups. If research is concerned with the relative standing of individuals and/or groups on frequency of infant or maternal behavior, then (under specified circumstances) time-sampling and continuous coding yield comparable results.     

Psychometric Properties and Norms of the Family Needs Scale

We studied 205 low-income families, using the Family Needs Scale (FNS). Factor analysis of the FNS data resulted on a 7-factor solution with high internal consistency within the various subscales. We provide normative scores based on the factor structure of the FNS. A total of 53 parents completed the FNS on two occasions with an average of four weeks between these two ratings. In general, the test-retest reliabilities were low to moderate. A total of 61 pairs of parents independently rated their families with the FNS. Again, agreement between raters was low to moderate. Several factors that may have detracted from better test-retest and interrater reliability were identified. Our data point to the need for more psychometric studies with the FNS.     

Adolescent Ego-Development Trajectories and Young Adult Relationship Outcomes

Adolescent ego-development trajectories were related to close-relationship outcomes in young adulthood. An adolescent sample completed annual measures of ego development from ages 14 through 17. The authors theoretically determined and empirically traced five ego-development trajectories reflecting stability or change. At age 25, the sample completed a close-relationship interview and consented for two peers to rate the participants'ego resiliency and hostility. Participants who followed the profound-arrest trajectory in adolescence reported more mundane sharing of experiences, more impulsive or egocentric conflict-resolution tactics, and less mature interpersonal understanding in their young adult relationships, and their young adult peers described these participants as more hostile. Participants who attained or maintained higher levels of ego development in adolescence reported more complex sharing of experiences, more collaborative conflict-resolution strategies, and greater interpersonal understanding, and their young adult peers rated them as less hostile and as more flexible.     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.