The Personal Acquaintance Measure: a tool for appraising one's acquaintance with any person

The authors developed and evaluated the psychometric properties of the 18-item Personal Acquaintance Measure (PAM) and investigated how the PAM relates to self- other agreement in personality ratings. Results support that 6 factors represent the PAM (Duration, Frequency of Interaction, Knowledge of Goals, Physical Intimacy, Self-Disclosure, Social Network Familiarity), which showed evidence of internal consistency, test-retest reliability over 3 weeks, sensitivity to known group differences, discriminant validity from socially desirable responding, and convergent validity with other relationship inventories. Results also show that the PAM positively predicted self-other agreement. The authors discuss the implications of these findings for the PAM and research in person perception, although this measure may also be used in other research areas.     

Motivated learning for the development of autonomous systems

A new machine learning approach known as motivated learning (ML) is presented in this work. Motivated learning drives a machine to develop abstract motivations and choose its own goals. ML also provides a self-organizing system that controls a machine’s behavior based on competition between dynamically-changing pain signals. This provides an interplay of externally driven and internally generated control signals. It is demonstrated that ML not only yields a more sophisticated learning mechanism and system of values than reinforcement learning (RL), but is also more efficient in learning complex relations and delivers better performance than RL in dynamically-changing environments. In addition, this paper shows the basic neural network structures used to create abstract motivations, higher level goals, and subgoals. Finally, simulation results show comparisons between ML and RL in environments of gradually increasing sophistication and levels of difficulty.     

Lifespan Differences in a Self Determination Theory Model of Eudaimonia: A Cross-Sectional Survey of Younger,Middle-Aged,and Older Adults

Despite the myriad physical, cognitive, and social losses that are increasingly common as we age, a growing body of evidence suggests that aging is positively associated with mental health and well-being. The majority of this evidence is in the form of mental health, personality, and subjective/hedonic well-being outcomes; far less is known about lifespan differences in eudaimonic well-being. The objective of this study was to examine differences across three age groups in a relatively recent model of eudaimonia informed by self-determination theory that focuses on the process of living well, but also acknowledges outcomes of that process. In comparison to young (n = 66) and middle-aged adults (n = 66), older adults (n = 66) were especially likely to be living eudaimonically (i.e., to have intrinsic aspirations, goal autonomy, mindfulness, and basic psychological need fulfillment). The effect of age on well-being outcomes was mixed; the oldest group reported the highest levels of life satisfaction (hedonic well-being) but the lowest levels of purpose and growth (eudaimonic well-being) in comparison to their younger counterparts. As predicted by the model, basic psychological need fulfillment mediated the relationship between motivational constructs and well-being outcomes. Furthermore, the model applied equally well to younger, middle-aged, and older adults. Our results are consistent with recent theoretical models emphasizing the socioemotional benefits of aging, as well as potential challenges to well-being that exist in later life.     

Comparisons among the Holden Psychological Screening Inventory (HPSI), the Brief Symptom Inventory (BSI), and the Balanced Inventory of Desirable Responding (BIDR)

Issues of reliability, item latent structure, and faking on the Holden Psychological Screening Inventory (HPSI), the Brief Symptom Inventory (BSI), and the Balanced Inventory of Desirable Responding (BIDR) were examined with a sample of 300 university undergraduates. Reliability analyses indicated that scales from all inventories had acceptable internal consistency. Confirmatory item principal component analyses supported the structures and scoring keys of the HPSI and the BIDR, but not the BSI. Although all inventories were susceptible to faking, validity indices of the HPSI and the BIDR could correctly classify over two-thirds of test respondents as either responding honestly or as faking.     

A tarnished silver lining: victim suffering and support for reparations

Groups around the world are seeking reparations for historical harms. In three studies, the authors examined if people are more inclined to support a historical victim group if the group continues to suffer today because of an earlier harm. In Study 1, participants perceived greater victim suffering when the harm was recent and the degree of perceived suffering positively related to victim group support. In Studies 2 and 3, the authors manipulated continued victim suffering and the feasibility of material reparations. Both variables affected victim group support, but experienced sympathy and injustice judgments mediated their effects. Suffering victims elicited more compassion when reparations seemed feasible but were treated the same as nonsuffering victims when reparations seemed unfeasible. Suffering victims were also treated equally irrespective of feasibility of reparations, whereas nonsuffering victims were treated significantly less favorably when reparations seemed feasible, versus unfeasible.     

The relationship between testosterone and aggression: a meta-analysis

In non-human animals, the relationship between testosterone and aggression is well established. In humans, the relationship is more controversial. To clarify the relationship, Archer conducted three meta-analyses and found a weak, positive relationship between testosterone and aggression. Unfortunately, each of the analyses included only five to six studies. The aim of the present study was to re-examine the relationship between testosterone and aggression with a larger sample of studies. The present analyses are based on 45 independent studies (N=9760) with 54 independent effect sizes. Only studies that reported a p-value or effect size were included in the analyses and the sample may underestimate the proportion of non-significant findings in the population. Correlations ranged from −0.28 to 0.71. The mean weighted correlation (r=0.14) corroborates Archer's finding of a weak positive relationship.