Effects of eye contact and social status on the perception of a job applicant in an employment interviewing situation

The present study examines the independent and joint effects of variations in eye contact and social status on the way in which job applicants tend to be perceived in employment interviewing situations. The key dependent variable in the analysis is the interviewer's perception of how well the applicant is suited for a job requiring or involving self-confidence. The results, based on a laboratory analogue of an employment interview, show statistically significant main effects for eye contact and social status, as well as a significant two-way interaction effect. Effects of the manipulations on job-specific ratings are also reported, and implications of the research for biases in employment interviewing are discussed.     

Implications of Learning Style,Age Group,and Gender for Developing Online Learning Activities

ABSTRACT

This study explores the effects of learning style, age and gender on preferences for online educational activities. David Kolb's Experiential Learning Theory (Kolb, 1984 Kolb, D. A. 1984. Experiential learning: Experience as the source of learning and development, Englewood Cliffs, NJ: Prentice-Hall.  [Google Scholar]) is used as a lens to examine the responses of online learners to five types of educational activities. Results indicate that learning style influences preference for learning activity. The relationship is stronger among adults than among children aged 10–13 (middle school). The four learning styles were not evenly distributed. “Practical” (likes to solve problems and find solutions) was the most frequent style among both children and adults (37%). “Creative” (enjoys brainstorming and open-ended exploration) was the least frequent (8%). These data have particular relevance to the development of educational activities, suggesting that open-ended exploration with “no right answers” may not be the most satisfying and appealing approach for many learners. The results of this study provide new insight into online audiences and can help developers of multimedia activities to create experiences that will appeal to all kinds of learners.     

Developmental and dyadic perspectives on commitment in adult romantic relationships

We tested hypotheses concerning the developmental roots of becoming the "weak-link" (less committed) partner in adult romantic relationships and the associations between partners' absolute and relative levels of commitment and dyadic outcomes. We examined 78 target 20- to 21-year-olds who were involved in a romantic relationship and who had been studied since birth. As predicted, people who received lower-quality support from caregivers in toddlerhood or who were less able to resolve conflicts with a best friend in midadolescence were more likely to become the weak-link partner in a romantic relationship at age 20 to 21. Furthermore, lower commitment on the part of the weak-link partner coupled with greater discrepancy in commitment between partners predicted a greater likelihood that the couple would display hostility (rated by observers) during a videotaped conflict-resolution task when they were 20 to 21 years old. These findings are discussed from developmental and dyadic perspectives.     

Learning rule-described and non-rule-described categories: a comparison of children and adults

Three experiments investigated the ability of 3-, 5-, and 8-year-old children as well as adults to learn sets of perceptual categories. Adults and children performed comparably on categories that could be learned by either a single-dimensional rule or by associative learning mechanisms. However, children showed poorer performance relative to adults in learning categories defined by a disjunctive rule and categories that were nonlinearly separable. Increasing the task demands for adults resulted in child-like performance on the disjunctive categories. Decreasing the task demands for children resulted in more adult-like performance on the disjunctive categories. The authors interpret these results within a multiple-systems approach to category learning and suggest that children have not fully developed the same explicit category learning system as adults.     

PREDICTORS OF SELF‐REPORTED GAINS IN A RELATIONSHIP‐BASED HOME‐VISITING PROJECT FOR MOTHERS AFTER CHILDBIRTH

We assessed mothers’ self‐reported gains from a postpartum home‐visiting (HV) project in which home visitors are volunteer mothers from the community. Hypotheses were that gains are positively related to (a) mothers’ felt‐closeness with their home visitor, (b) mothers’ level of sociodemographic risk, and (c) the home visitors’ preproject training in support services for families or children (Professionalism). One hundred sixty‐four clients returned written evaluations of the HV project. Items assessing gains were reduced to two factors: Improved Well‐Being (“Self”) and Improved Infant Care (“Infant”). Repeated measures general linear models, with Gains (Self, Infant) as the repeated measure, and multiple regression analyses evaluated the hypotheses. Across the sample, gains on both factors were moderate, although gain scores were higher regarding Self than for Infant. Results show that (a) Mothers’ felt‐closeness with their volunteer was strongly related to mothers’ gains; (b) high‐risk mothers gained more from the project than did mothers of lower risk, particularly regarding Infant Care; and (c) mothers visited by volunteers who were professionals reported more substantial gains than did mothers visited by volunteers who were not professionals. Findings can help explain variance in mothers’ gains from such projects and could be useful in improving their efficacy.     

Cognitive changes in conjunctive rule-based category learning: An ERP approach

When learning rule-based categories, sufficient cognitive resources are needed to test hypotheses, maintain the currently active rule in working memory, update rules after feedback, and to select a new rule if necessary. Prior research has demonstrated that conjunctive rules are more complex than unidimensional rules and place greater demands on executive functions like working memory. In our study, event-related potentials (ERPs) were recorded while participants performed a conjunctive rule-based category learning task with trial-by-trial feedback. In line with prior research, correct categorization responses resulted in a larger stimulus-locked late positive complex compared to incorrect responses, possibly indexing the updating of rule information in memory. Incorrect trials elicited a pronounced feedback-locked P300 elicited which suggested a disconnect between perception, and the rule-based strategy. We also examined the differential processing of stimuli that were able to be correctly classified by the suboptimal single-dimensional rule (“easy” stimuli) versus those that could only be correctly classified by the optimal, conjunctive rule (“difficult” stimuli). Among strong learners, a larger, late positive slow wave emerged for difficult compared with easy stimuli, suggesting differential processing of category items even though strong learners performed well on the conjunctive category set. Overall, the findings suggest that ERP combined with computational modelling can be used to better understand the cognitive processes involved in rule-based category learning.     

Continuous executive function disruption interferes with application of an information integration categorization strategy

Category learning is often characterized as being supported by two separate learning systems. A verbal system learns rule-defined (RD) categories that can be described using a verbal rule and relies on executive functions (EFs) to learn via hypothesis testing. A nonverbal system learns non-rule-defined (NRD) categories that cannot be described by a verbal rule and uses automatic, procedural learning. The verbal system is dominant in that adults tend to use it during initial learning but may switch to the nonverbal system when the verbal system is unsuccessful. The nonverbal system has traditionally been thought to operate independently of EFs, but recent studies suggest that EFs may play a role in the nonverbal system—specifically, to facilitate the transition away from the verbal system. Accordingly, continuously interfering with EFs during the categorization process, so that EFs are never fully available to facilitate the transition, may be more detrimental to the nonverbal system than is temporary EF interference. Participants learned an NRD or an RD category while EFs were untaxed, taxed temporarily, or taxed continuously. When EFs were continuously taxed during NRD categorization, participants were less likely to use a nonverbal categorization strategy than when EFs were temporarily taxed, suggesting that when EFs were unavailable, the transition to the nonverbal system was hindered. For the verbal system, temporary and continuous interference had similar effects on categorization performance and on strategy use, illustrating that EFs play an important but different role in each of the category-learning systems.     

Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning

The authors contrast exemplar-based and prototype-based processes in dot-pattern categorization. In Experiments 1A and 1B, participants provided similarity ratings of dot-distortion pairs that were distortions of the same originating prototype. The results show that comparisons to training exemplars surrounding the prototype create flat typicality gradients within a category and small prototype-enhancement effects, whereas comparisons to a prototype center create steep typicality gradients within a category and large prototype-enhancement effects. Thus, prototype and exemplar theories make different predictions regarding common versions of the dot-distortion task. Experiment 2 tested these different predictions by having participants learn dot-pattern categories. The steep typicality gradients, the large prototype effects, and the superior fit of prototype models suggest that participants refer to-be-categorized items to a representation near the category's center (the prototype), and not to the training exemplars that surround the prototype.