Centrality Preferences in Choices Among Similar Options

Three explanations were explored for the finding that people prefer the middle option rather than the extremes when choosing from an array of similar options. In Study 1, 68% chose the middle item from a set of three highlighters and three surveys, whereas 32% chose an item from either end, p < .0001. In Study 2, 71% selected the middle chair from a row of three chairs that were either all empty, or had a backpack occupying either one of the two end chairs, p < .0001. These results support a minimal mental effort principle rather than a preference for symmetry rule. In Study 3, 54.2% recalled more graphic items from the center poster of a 3-poster collage, whereas 31.3% and 14.5% recalled more items from the left and right posters, respectively, p < .004. These findings lend additional support to a focus of attention explanation.     

The diagnosticity of color for emotional objects

Object classification can be facilitated if simple diagnostic features can be used to determine class membership. Previous studies have found that simple shapes may be diagnostic for emotional content and automatically alter the allocation of visual attention. In the present study, we analyzed whether color is diagnostic of emotional content and tested whether emotionally diagnostic hues alter the allocation of visual attention. Reddish-yellow hues are more common in (i.e., diagnostic of) emotional images, particularly images with positive emotional content. An exogenous cueing paradigm was employed to test whether these diagnostic hues orient attention differently from other hues due to the emotional diagnosticity. In two experiments, we found that participants allocated attention differently to diagnostic hues than to non-diagnostic hues, in a pattern indicating a broadening of spatial attention when cued with diagnostic hues. Moreover, the attentional broadening effect was predicted by self-reported measures of affective style, linking the behavioral effect to emotional processes. These results confirm the existence and use of diagnostic features for the rapid detection of emotional content.     

A Review of: “Remembering the Times of Our Lives: Memory in Infancy and Beyond. By Patricia J. Bauer.”

Patricia Bauer's impressive book, Remembering the Times of Our Lives: Memory in Infancy and Beyond, traces the development of autobiographical memory from infancy to adulthood. Drawing on a variety of different lines of evidence, ranging from brain development to cognitive development, this book reviews the fundamental questions (e.g., why do we remember so little about early childhood?) and proposes some provocative answers. Both experts and novices will have much to gain from this volume.     

Facilitating Communication of Ideas and Evidence to Enhance Mental Health Service Quality: Coding the Treatment Services Literature Using the Child and Adolescent Needs and Strengths-Mental Health Assessment Scales

The evidence-base services literature is continually growing, providing the field with rich and important sets of information regarding what works for treating different types of youth and families. Given this burgeoning of information, the PracticeWise Evidence-Based Services (PWEBS) Literature Database has been developed to aid in summarizing and delivering aggregated evidence-based treatment information to providers in the field. Meanwhile, the Child and Adolescent Needs and Strengths-Mental Health (CANS-MH) Scale is a youth mental health assessment tool that was developed by a separate team to assist with treatment planning. In the present study, we developed and tested a system for linking these two related ontological systems so that scientific knowledge can be more widely aggregated and made available to a wider set of audiences for enhanced mental health service delivery. Results revealed the following. First, a construct mapping comparison revealed that the CANS-MH and PWEBS ontologies share a strong core of overlapping content, particularly in the areas of Youth Behavioral/Emotional Needs, Youth Risk Behaviors, and Life Domain Functioning. Second, the CANS-MH areas were able to be used to reliably code the following components of published randomized treatment studies: (a) population sample characteristics (e.g., did the characteristics of the treatment study participant population relate to each CANS-MH area?), and (b) outcome measure targets (e.g., did the treatment study outcome measure target areas relate to each CANS-MH area?). The reliability achieved from this coding process supported the linkage between the CANS-MH areas and the PWEBS Literature Database information. Lastly, high agreement was achieved between an automated translation algorithm and the final ratings from the manual coding of published treatment studies using the CANS-MH scale. The importance of such linkages for the communication of ideas, information, and evidence across differing subfields is discussed, as well as examples of achieving enhanced quality of mental health services by linking system ontologies.     

Target-present guessing as a function of target prevalence and accumulated information in visual search

Target prevalence influences visual search behavior. At low target prevalence, miss rates are high and false alarms are low, while the opposite is true at high prevalence. Several models of search aim to describe search behavior, one of which has been specifically intended to model search at varying prevalence levels. The multiple decision model (Wolfe & Van Wert, Current Biology, 20(2), 121-–124, 2010) posits that all searches that end before the observer detects a target result in a target-absent response. However, researchers have found very high false alarms in high-prevalence searches, suggesting that prevalence rates may be used as a source of information to make “educated guesses” after search termination. Here, we further examine the ability for prevalence level and knowledge gained during visual search to influence guessing rates. We manipulate target prevalence and the amount of information that an observer accumulates about a search display prior to making a response to test if these sources of evidence are used to inform target present guess rates. We find that observers use both information about target prevalence rates and information about the proportion of the array inspected prior to making a response allowing them to make an informed and statistically driven guess about the target’s presence.     

Universals

In this paper, I argue that there are universals. I begin (Sect. 1) by proposing a sufficient condition for a thing’s being a universal. I then argue (Sect. 2) that some truths exist necessarily. Finally, I argue (Sects. 3 and 4) that these truths are structured entities having constituents that meet the proposed sufficient condition for being universals.     

Learning to diminish the effects of proactive interference: Reducing false memory for young and older adults

Results from two experiments revealed that prior experience with proactive interference (PI) diminished PI’s effects for both young and older adults. Participants were given two rounds of experience, with different materials, in a situation that produced PI. Comparisons with a control condition showed that the effects of PI on accuracy and on high-confidence intrusion errors (false memory) were reduced on the second round, as compared with those on the first. Also, the ability of confidence to diagnose accuracy of responding improved across rounds. Effects of prior experience with PI depended on feedback given at the time of test (Experiment 1). At least in part, the diminishment of PI resulted from participants’ allocating more attention to interference items during study in the second round than in the first (Experiment 2). Implications of the results for interpreting age differences in PI and false memory are discussed.     

Testing four explanations for the better/worse-than-average effect: Single- and multi-item entities as comparison targets and referents

In six experiments, we tested four explanations for the better/worse-than-average effect (B/WTA) by manipulating the number of items comprising the target or referent of direct comparison. A single-item target tended to be rated more extremely than a single-item or a multi-item referent (Experiments 1–3). No B/WTA was obtained, however, when a multi-item target was compared with either a single- or multi-item referent (Experiments 4 and 5). A bias favoring a multi-item target was found only if cohesiveness among the items was increased through instructions (Experiment 6). The Unique-Attributes Hypothesis generally provided the best explanation the findings; the focalism explanation also demonstrated some empirical viability. The results suggest that important preferential decision-making outcomes can be affected by both the number of items and whether items are strategically manipulated to serve as targets or referents of comparison.