Desperately seeking sourcehood

Philosophical Studies - In a recent essay, Deery and Nahmias (Philos Stud 174(5):1255–1276, 2017) utilize interventionism about causation to develop an account of causal sourcehood in order...     

Geographic patterns of implicit age bias and associations with state-level health outcomes across the United States

Negative attitudes toward aging are pervasive in society and may be detrimental to people's health as they become older. Older people tend to report feeling significantly younger than their chronological age, often as a way of psychologically distancing themselves from the stigma of old age. However, attitudes and behaviors toward aging may differ across regional contexts. We examined associations among state-level patterns of bias against older adults and state-level health outcomes across the United States. Data from 803,009 respondents (ages: 15–94) across 50 U.S. states (and the District of Columbia) revealed geographic variation in implicit age bias. Higher state-level implicit age bias was associated with poorer state-level health outcomes among adults ages 65+. Older adults living in states high in implicit age bias showed greater age-group dissociation compared to older adults living in states low in implicit age bias. Findings highlight potential consequences of implicit age bias and invite further research on the long-term health implications of individual age-group dissociation in response to regional age bias.     

Searching for Prosociality in Qualitative Data: Comparing Manual,Closed-Vocabulary,and Open-Vocabulary Methods

Although most people present themselves as possessing prosocial traits, people differ in the extent to which they actually act prosocially in everyday life. Qualitative data that were not ostensibly collected to measure prosociality might contain information about prosocial dispositions that is not distorted by self-presentation concerns. This paper seeks to characterise charitable donors from qualitative data. We compared a manual approach of extracting predictors from participants' self-described personal strivings to two automated approaches: A summation of words predefined as prosocial and a support vector machine classifier. Although variables extracted by the support vector machine predicted donation behaviour well in the training sample (N = 984), virtually, no variables from any method significantly predicted donations in a holdout sample (N = 496). Raters' attempts to predict donations to charity based on reading participants' personal strivings were also unsuccessful. However, raters' predictions were associated with past charitable involvement. In sum, predictors derived from personal strivings did not robustly explain variation in charitable behaviour, but personal strivings may nevertheless contain some information about trait prosociality. The sparseness of personal strivings data, rather than the irrelevance of open-ended text or individual differences in goal pursuit, likely explains their limited value in predicting prosocial behaviour. © 2020 European Association of Personality Psychology     

Relationship science and the credibility revolution: An introduction to the first part of the special issue

In the past 10 years, the field of relationship science—like many other fields—has been exposed to dramatic changes in how scientists approach the research process. Relationship science has been at the forefront of many recent changes in the field, whether it be high profile replication attempts or broader discussions about how to increase rigor and reproducibility. A major goal of this special issue was to provide an opportunity for relationship scientists to engage with these issues and reforms. The first four articles in this special issue represent a sampling of different approaches relationship researchers have used to enhance the credibility of their work.     

Idiographic network analysis of discrete mood states prior to treatment

Idiographic network models based on time‐series data have received recent attention for their ability to model relationships among symptoms and behaviours as they unfold in time within a single individual (cf. Epskamp, Borsboom, & Fried, 2018; Fisher, Medaglia, & Jeronimus, 2018). Rather than examine the correlational relationships between variables in a sample of individuals, an idiographic network examines correlations within a single person, averaged over many time points. Because the approach averages over time, the data must be stationary (i.e. relatively consistent over time). If individuals experience varying states over time—different mixtures of symptoms and behaviours in one moment or another—then averaging over categorically different moments may undermine model accuracy. Fisher and Bosley (2019) address these concerns via the application of Gaussian finite mixture modelling to identify latent classes of time points in intraindividual time‐series data from a sample of adults with major depressive disorder and/or generalised anxiety disorder (n = 45). The present paper outlines an extension of this work, wherein network analysis is used to model within‐class covariation of symptoms. To illustrate this approach, network models were constructed for each intraindividual class identified by Fisher and Bosley (137 networks across the 45 participants, mean classes/person = ~3, range = 2–4 classes/person). We examine the relative consistency in symptom organisation between each individual's multiple mood state networks and assess emergent group‐level patterns. We highlight opportunities for enhanced treatment personalisation and review nomothetic patterns relevant to transdiagnostic conceptualisations of psychopathology. We address opportunities for integrating this approach into clinical practice and outline potential shortcomings.     

Taxonomies of aggressive behavior: A preliminary report

It has been widely and regularly suggested that aggression is not a unitary concept but rather an omnibus term concealing important and distinct subclasses of behavior. Psychologists have offered various categorical schemes highlighting motivation and form as distinguishing criteria. Many writers have also noted the social relativity of dermitions of classes of aggression and called for a consideration of lay conceptions of aggressive behavior. The present paper explores the correspondence between psychologists' and laypersons' categorizations of aggressive acts. Ten short scenarios of aggression were generated to embody systematic permutations of form and motive as suggested by the published work of social psychologists. Subjects rated every pairwise combination in terms of perceived similarity. The data were subjected to three-factor, multidimensional scaling. The resulting structure indicated that subjects' ratings were not random and reflected consideration of motive (hostile, normative, instrumental, status) and of direct versus indirect form. The data were thus in close correspondence with the classifications generated by psychologists. The desirability of refining this technique and extending it to other cultural and subcultural groups is discussed.     

Are parents' gender schemas related to their children's gender-related cognitions? A meta-analysis

Meta-analyses were conducted of 43 articles (with 48 different samples) investigating the relationship between parents' gender schemas and their offspring's gender-related cognitions. The parents' offspring ranged in age from infancy to early adulthood. Offspring measures included gender self-concept, gender attitudes toward others, gender-related interests, and occupational attitudes. Overall, a small but meaningful effect size (r = .16) indicated a significant and positive correlation between parent gender schemas and offspring measures. Specifically, parents with more traditional gender schemas were more likely than parents with more nontraditional schemas to have offspring with gender-typed cognitions about themselves or others. In addition, the magnitudes of observed effect sizes were influenced by particular moderator variables, including type of parent gender schema (gender self-concept vs. gender attitudes toward others), type of offspring gender-related cognitions, parent gender, offspring gender, offspring age, and publication characteristics. The results are cautiously interpreted as suggesting a possible influence of parents on the development of their children's gender-related thinking.     

Racial bias in decisions made by mock jurors evaluating a case of sexual harassment

White (N = 161) and Black (N = 152) college students served as mock jurors in a simulated civil case in which a female plaintiff accused a male defendant of sexual harassment. The authors experimentally manipulated the race (Black or White) of the litigants and asked the mock jurors to decide whether the defendant was guilty; to rate the certainty of their belief in the defendant's guilt; and, when they judged the defendant guilty, to recommend an award to the plaintiff. Mock jurors of both races tended to favor litigants of their own race and their own gender. Racial bias was highest among White male jurors and lowest among White female jurors.     

Effects of lexicality and distinctiveness on repetition blindness

The repetition blindness (RB) paradigm developed by K. M. Arnell and P. Jolicoeur (1997) was used to examine effects of lexicality (word vs. nonword target pairs) and target distinctiveness on RB. Distinctiveness was manipulated by having both targets (Experiments 1 and 2) or only the first target (Experiment 3) brighter than nontarget items. All 3 experiments demonstrated strong RB for word targets but no RB for nonword targets. This confirms that RB depends on pre-existing memory representations. In fact, there was repetition facilitation for nonwords in Experiments 2 and 3. These experiments also demonstrated that RB is reduced when targets are distinctive. This finding is better understood interms of RB as a failure of memory rather than as a failure of perception.