Protective and Exacerbating Cognition and Attribution Factors From the Cognitive Discrepancy Theory of Loneliness

According to the cognitive discrepancy theory, although the discrepancy between actual and desired social resources may result in loneliness, Perlman and Peplau (1998) suggested that cognitive processing and attributional style also impact the interpretation of social information. Previous empirical research investigating predictors of loneliness have not assessed a wide range of cognition and attribution factors, so this study filled this gap by examining how protective (optimism, sense of mastery, and purpose in life) and exacerbating (depression, control constraints, negative self-perceptions of aging (SPA), and experiences of age-based discrimination) factors influence and moderate the experience of loneliness cross-sectionally and longitudinally using a sample of 3,345 Americans aged 50 years and older from the 2008 and 2012 waves of the Health and Retirement Study. Optimism (βs = -.15, -.13), mastery (βs = -.08, -.07), purpose in life (βs = -.19, -.18), depression (βs = .22,.14), control constraints (βs = .18, .17), negative SPA (βs = .13, .14), and experiences of ageism (βs = .07, .06) were significantly related to loneliness cross-sectionally and longitudinally, respectively. Optimism buffered the negative impact of poor functional social resources (e.g., low social support) on loneliness cross-sectionally while control constraints, negative SPA, and experiencing ageism exacerbated the relationship between low functional social resources and loneliness cross-sectionally. None of the protective or exacerbating factors modulated the relationship between functional social resources and loneliness longitudinally. These findings have important implications for the development of interventions that target loneliness. Targeting maladaptive cognitions may be particularly effective in reducing loneliness.

Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory

We study the allocation of indivisible goods among groups of agents using well-known fairness notions such as envy-freeness and proportionality. While these notions cannot always be satisfied, we provide several bounds on the optimal relaxations that can be guaranteed. For instance, our bounds imply that when the number of groups is constant and the $n$ agents are divided into groups arbitrarily, there exists an allocation that is envy-free up to $\Theta(\sqrt{n})$ goods, and this bound is tight. Moreover, we show that while such an allocation can be found efficiently, it is NP-hard to compute an allocation that is envy-free up to $o(\sqrt{n})$ goods even when a fully envy-free allocation exists. Our proofs make extensive use of tools from discrepancy theory.

Self-Discrepancy and Regulatory Focus

Self-discrepancy theory and regulatory focus theory are two related motivational theories. Self-discrepancy theory describes the associations between self and affect, positing that the relations among different sets of self-concepts influence a person’s emotional experience. A discrepancy between a person’s ideal self-guide (e.g., hopes and aspirations) and his or her actual self-concept produces dejection-related emotions (e.g., sadness), whereas a discrepancy between a person’s ought self-guide (e.g., duties and obligations) and his or her actual self-concept produces agitation-related emotions (e.g., anxiety). The intensity of these emotional experiences depends upon the magnitude and accessibility of the associated discrepancy. Regulatory focus theory builds on self-discrepancy theory, positing that distinct self-regulatory systems are reflected in the two types of self-guides proposed in self-discrepancy theory. The promotion system is motivated by ideal end-states, by pursuing hopes and aspirations; as a result, it is primarily concerned with the presence or absence of positive outcomes—with gains and non-gains. Given this focus on gains and non-gains, the promotion system is motivated by fundamental needs for nurturance and growth. In contrast, the prevention system is motivated by ought end-states, by fulfilling duties and obligations; as a result, it is primarily concerned with the presence or absence of negative outcomes—with losses and non-losses. Given this focus on losses and non-losses, the prevention system is motivated by fundamental needs for safety and security. The promotion and prevention systems predict a range of important variables relating to cognition, performance, and decision-making.

Me, Myself, and Not-I: Self-Discrepancy Type Predicts Avatar Creation Style

In video games, identification with avatars—virtual entities or characters driven by human behavior—has been shown to serve many interpersonal and intraindividual functions (like social connection, self-expression, or identity exploration) but our understanding of the psychological variables that influence players' avatar choices remains incomplete. The study presented in this paper tested whether players' preferred style of avatar creation is linked to the magnitude of self-perceived discrepancies between who they are, who they aspire to be, and who they think they should be. One-hundred-and-twenty-five undergraduate gamers indicated their preferred avatar creation style and completed a values measure from three different perspectives: their actual, ideal, and ought selves. The average actual/ideal values discrepancy was greater among those who preferred idealized avatars vs. those who preferred realistic avatars. The average actual/ought values discrepancy was greater among those who preferred completely different avatars (i.e., fantasy/role-players) vs. those who preferred realistic avatars. These results, therefore, offer additional evidence that self-discrepancy theory is a useful framework for understanding avatar preferences.

A Cross-Lagged Panel Analysis of the Relationship Between Loneliness and Depression

Loneliness and depression have similar psychological features but are theoretically and statistically distinct (Hawkley et al., 2008). Most research has examined a unidirectional relationship between loneliness and depression (Cacioppo et al., 2006). Cacioppo et al. (2010), however, found that loneliness predicted subsequent depression, but depression did not predict subsequent loneliness. We extended this work by examining the reciprocal relationship between loneliness and depression in 1,560 healthy adults (ages ranging from 18-95 years at baseline) from the Virginia Cognitive Aging Project using cross-lagged panel analysis across three time points. Depression more strongly predicted subsequent loneliness (βs= 0.16 and 0.23, p < .05) than vice versa. These findings are consistent with the cognitive discrepancy theory, suggesting that affective processing, like depression, can negatively impact one’s perception of their social environment (Burholt & Scharf, 2014). Our findings highlight the need for increased longitudinal research examining the relationships among indices of well-being across adulthood.