Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time

Recent theoretical advances in theories of categorization response times have made it possible to differentiate mental architectures that specify how processes occurring over several information-processing channels are combined (e.g., in serial or in parallel). This article introduces the numerical computations necessary to generate predictions for a class of logical rule-based models that have recently been used to account for speeded perceptual categorization judgments (Fifi?, M., Little, D.R. & Nosofsky, R. M. . Psychological Review, 117:309–348, 2010).     

Longitudinal Predictors of Alcohol‐Related Harms During the Transition to Adulthood

While a range of factors have been found to increase the likelihood of alcohol‐related harms among young people, little is known about their relative importance. This article aimed to identify the risks for alcohol‐related harms at an age when alcohol use and problems tend to peak in Australia (19–20 years). A wide range of concurrent and antecedent factors from multiple domains were examined using path analysis, including individual characteristics, family environment, and externalising and internalising problems. The sample comprised of 941 individuals from the Australian Temperament Project, a large longitudinal community‐based study. The path model controlled for current risky drinking and revealed a number of variables that were significant longitudinal predictors of alcohol‐related harms within each of the domains, including adolescent antisocial behaviour and drinking behaviour, low agreeableness, impulsivity, and paternal drinking levels. The potential for developmental prevention approaches to reduce alcohol‐related harms by targeting externalising behaviour problems, interpersonal influences, and individual characteristics is discussed.     

Planned Missing Data Designs for Research in Cognitive Development

Data collection can be the most time- and cost-intensive part of developmental research. This article describes some long-proposed but little-used research designs that have the potential to maximize data quality (reliability and validity) while minimizing research cost. In planned missing data designs, missing data are used strategically to improve the validity of data collection in one of two ways. Multiform designs allow one to increase the number of measures assessed on each participant without increasing each participant's burden. Two-method measurement designs allow one to reap the benefits of a cost-intensive gold-standard measure, using a larger sample size made possible by a rougher, cheaper measure. We explain each method using examples relevant to cognitive development research. With the use of analysis methods that produce unbiased results, planned missing data designs are an efficient way to manage cost, improve data quality, and reduce participant fatigue and practice effects.     

Personality and Personal Projects: Linking Big Five and PAC Units of Analysis

This article examines the relationships between classical trait units as represented by the five-factor model (e.g., Digman, 1990) and personal action construct (PAC) units as measured by Personal Projects Analysis (Little, 1983). One hundred and forty-seven students were administered the NEO Personality Inventory (Costa & McCrae, 1985) and two components of Personal Projects methodology during their first term in university. Neuroticism and Conscientiousness were related to problematic and positive project systems, respectively, with these effects generalizing across the academic and interpersonal project domains. Extraversion and Agreeableness were also associated with positive evaluations of personal projects, particularly in the interpersonal domain. Openness was distinctively linked with project initiation and value congruency. We suggest theoretical and applied implications of using PAC methods to expand and refine the classical trait research agenda.     

When facial attractiveness is only skin deep

Whilst the relationship between aspects of facial shape and attractiveness has been extensively studied, few studies have investigated which characteristics of the surface of faces positively influence attractiveness judgments. As many researchers have proposed a link between attractiveness and traits that appear healthy, apparent health of facial skin might be a property of the surface of faces that positively influences attractiveness judgments. In experiment 1 we tested for a positive correlation between ratings of the apparent health of small skin patches (extracted from the left and right cheeks of digital face images) and ratings of the attractiveness of male faces. By using computer-graphics faces, in experiment 2 we aimed to establish if apparent health of skin influences male facial attractiveness independently of shape information. Results suggest that apparent health of facial skin is correlated both with ratings of male facial attractiveness (experiment 1) and with being a visual cue for judgments of the attractiveness of male faces (experiment 2). These findings underline the importance of controlling for the influence of visible skin condition in studies of facial attractiveness and are consistent with the proposal that attractive physical traits are those that positively influence others' perceptions of an individual's health.     

Infant's visual preferences for facial traits associated with adult attractiveness judgements: Data from eye-tracking

Human preferences for facial attractiveness appear to emerge at an early stage during infant development. A number of studies have demonstrated that infants display a robust preference for facial attractiveness, preferring to look at physically attractive faces versus less attractive faces as judged by adults. However, to-date, relatively little is known about which traits of the face infants use to base these preferences upon. In contrast, a large number of studies conducted with human adults have identified that preference for attractive faces can be attributed to a number of specific facial traits. The purpose of the experiments here was to measure and assess infant's visual preference via eye-tracker technology for faces manipulated for one of three traits known to effect attractiveness judgments in adult preference tests: symmetry, averageness, and sexually dimorphic traits. Sixty-four infants (28 female and 36 male) aged between 12 and 24 months old each completed a visual paired comparison (VPC) task for one of the three facial dimensions investigated. Data indicated that infants displayed a significant visual preference for facial symmetry analogous to those preferences displayed by adults. Infants also displayed a significant visual preference for feminine versions of faces, in line with some studies of adult preferences. Visual preferences for facial non-averageness, or distinctiveness were also seen, a pattern opposite to that seen in adults. These findings demonstrate that infant's appreciation for facial attractiveness in adult images between the ages of 12 and 24 months of age is based on some, but not all, traits that adults find attractive.     

Is age-related stability of subjective well-being a paradox? Cross-sectional and longitudinal evidence from the Berlin Aging Study

Subjective well-being is thought to remain relatively stable into old age despite health-related losses. Age and functional health constraints were examined as predictors of individual differences and intraindividual change in subjective well-being, as indicated by positive and negative affect, using cross-sectional (N = 516) and longitudinal (N = 203) samples from the Berlin Aging Study (age range 70-103 years). In cross-sectional and longitudinal analyses, age and functional health constraints were negatively related to positive affect but unrelated to negative affect. Cross-sectionally, controlling for functional health constraints reversed the direction of the relationship between age and positive affect and produced a negative association between age and negative affect. Findings suggest two qualifications to the average stability of overall subjective well-being: Only some dimensions of subjective well-being remain stable, while others decline; age per se is not a cause of decline in subjective well-being but health constraints are.