Predictors Of Individual Differences Research Articles

Own and Partner Attachment Insecurity Interact to Predict Marital Satisfaction and Dissolution

Conventional wisdom suggests that the whole is greater than the sum of its parts. Echoing this sentiment, theoretical perspectives on close relationships suggest that the synergistic combination of both partners’ personal qualities can influence relationship outcomes above and beyond the simple additive influence of each partner’s qualities. Yet, empirical research leaves it unclear whether the interactive effects of own and partner attachment insecurity, one of the most notable individual difference predictors of relationship outcomes, predicts relationship dissolution, one of the most notable relationship outcomes. We combined data from five independent longitudinal studies of 539 newlywed couples to address this issue. Three of the four interactive combinations (all except own attachment avoidance × partner attachment avoidance) predicted marital dissolution serially through (a) initial marital satisfaction and (b) changes in satisfaction. Findings provide evidence of interactive attachment effects and underscore the importance of both couple members’ characteristics for maintaining satisfying romantic relationships.

Reliability of the serial reaction time task: If at first you don't succeed, try, try, try again.

Procedural memory is involved in the acquisition and control of skills and habits that underlie rule and procedural learning, including the acquisition of grammar and phonology. The serial reaction time task (SRTT), commonly used to assess procedural learning, has been shown to have poor stability (test-retest reliability). We investigated factors that may affect the stability of the SRTT in adults. Experiment 1 examined whether the similarity of sequences learned in two sessions would impact stability: test-retest correlations were low regardless of sequence similarity (r < .31). Experiment 2 added a third session to examine whether individual differences in learning would stabilise with further training. There was a small (but nonsignificant) improvement in stability for later sessions (Sessions 1 and 2: r = .42; Sessions 2 and 3: r = .60). Stability of procedural learning on the SRTT remained suboptimal in all conditions, posing a serious obstacle to the use of this task as a sensitive predictor of individual differences and ultimately theoretical advance.

Alcohol consumption and dependence risk among male and female Veterans: Trajectories and predictors

BackgroundWith few exceptions, previously conducted research on hazardous drinking among Veterans has employed samples in which the majority of participants identify as male. In addition, past studies have solely focused on alcohol consumption, rather than associated risk for dependence. In this study, we expanded upon the extant literature by investigating sex differences in trajectories and predictors of change in alcohol consumption and dependence risk among post-9/11 Veterans. MethodsA national sample of 1649 Veterans (50.0% female) were recruited in a five-wave longitudinal study that followed Veterans for up to 16 years after deployment. We used growth curve modeling to investigate trajectories of change in alcohol consumption and dependence risk among men and women Veterans. We examined predictors of growth, including demographics, support and resources, psychiatric symptoms, and trauma exposure. ResultsAmong male Veterans, alcohol consumption and dependence risk remained stagnant, which is in contrast to past work using non-Veteran samples. For female Veterans, consumption exhibited initial reductions that decelerated, and dependence risk reduced at a continuous rate. PTSD diagnosis was a significant predictor of individual differences in growth for men. Psychiatric symptoms (i.e., PTSD diagnosis, probable depression diagnosis, suicidal ideation) and psychosocial functioning were significant predictors of decreasing alcohol use for women. ConclusionsResults highlight important sex differences in patterns and predictors of change in alcohol consumption and dependence risk among post-9/11 Veterans. Findings are discussed in relation to screening for hazardous alcohol use and intervention strategies in this at-risk population.

Complex sentence production in bilingual and monolingual children

ABSTRACT Bilingual children often lag behind monolinguals on standardized measures of language acquisition, such as vocabulary tests. This bilingual lag could be related bilinguals’ lesser experience with the target language relative to monolinguals. In this study, we predicted that sequential Mandarin-English bilinguals would perform worse than same-aged English monolinguals on a standardized measure of complex sentence production. As predicted, the bilingual preschoolers performed worse than age-matched English monolinguals. However, once English experience was covaried, there was no significant difference between the two groups. After controlling for age, we tested three predictors of complex sentence production: (1) English vocabulary, (2) verbal memory, and (for the bilinguals) (3) Mandarin vocabulary. For both bilinguals and monolinguals, English vocabulary and verbal memory were significant predictors. These results support the argument that experience with a particular language is highly predictive of children’s ability to produce complex sentences in that language. Verbal memory is also an important predictor of individual differences in the ability to produce complex sentences.

Musical experience is linked to enhanced dimension-selective attention to pitch and increased primary weighting during suprasegmental categorization.

Speech perception requires the integration of evidence from acoustic cues across multiple dimensions. Individuals differ in their cue weighting strategies, that is, the weight they assign to different dimensions during speech categorization. In two experiments, we investigate musical training as one potential predictor of individual differences in prosodic cue weighting strategies. Attentional theories of speech categorization suggest that prior experience with the task-relevance of a particular dimension leads that dimension to attract attention. Experiment 1 tested whether musicians and nonmusicians differed in their ability to selectively attend to pitch and loudness in speech. Compared to nonmusicians, musicians showed enhanced dimension-selective attention to pitch but not loudness. Experiment 2 tested the hypothesis that musicians would show greater pitch weighting during prosodic categorization due to prior experience with the task-relevance of pitch cues in music. Listeners categorized phrases that varied in the extent to which pitch and duration signaled the location of linguistic focus and phrase boundaries. During linguistic focus categorization, musicians upweighted pitch compared to nonmusicians. During phrase boundary categorization, musicians upweighted duration relative to nonmusicians. These results suggest that musical experience is linked with domain-general enhancements in the ability to selectively attend to certain acoustic dimensions in speech. As a result, musicians may place greater perceptual weight on a single primary dimension during prosodic categorization, while nonmusicians may be more likely to choose a perceptual strategy that integrates across multiple dimensions. These findings support attentional theories of cue weighting, which suggest attention influences listeners' perceptual weighting of acoustic dimensions during categorization. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Quality of Life in Youth Soccer Players After Mild Traumatic Brain Injury.

Pediatric mild traumatic brain injuries (mTBIs) represent an evolving field of interest in youth athletics. Although most players recover within 4 weeks, some have symptoms that last longer. Little is known about youth health-related quality of life (HRQoL) after mTBI. To characterize youth HRQoL after soccer-related mTBI and to identify predictors of individual differences in HRQoL recovery. Prospective cohort study. Youth soccer. Soccer players, aged 8 to 17 years, who sustained an mTBI (n = 23) or orthopaedic injury (OI, n = 24) or remained uninjured (n = 23) during a single season. We assessed HRQoL via the Pediatric Quality of Life Inventory, version 4.0, and postconcussive symptoms via the Health and Behavior Index. Serial assessments occurred at 24 to 48 hours, 7 days, 30 days, and 90 days postinjury via telephone interview. At 7 days postinjury, the mTBI and OI groups had poorer total HRQoL (F2,67 = 11.35, P < .001) than the uninjured control group. At 7 days, the mTBI group had the poorest psychosocial HRQoL, whereas the OI group had the poorest physical HRQoL. Differences between the mTBI and uninjured control groups resolved by 30 days. Within the mTBI group, players with significant postconcussive symptoms at 7 days had poorer total (F1,21 = 23.071, P ≤ .001; F1,21 = 5.798, P = .028), psychosocial (F1,21 = 16.488, P = < .001; F1,21 = 5.050, P = .039), and physical (F1,21 = 21.671, P = < .001; F1,21 = 5.119, P = .038) HRQoL at 7 and 30 days, respectively, than players with minimal symptoms; these differences resolved by 90 days. As a group, youth soccer players who sustained mTBI had transient impairments in HRQoL that resolved by 30 days. A subset of players with significant postconcussive symptoms at 7 days postinjury had poorer HRQoL for at least 30 days postinjury than those whose postconcussive symptoms had resolved within a week of injury. This suggests ongoing recovery in this subset at 30 days and the potential utility of HRQoL as a measure of recovery.

Individual difference predictors of the Attitudes Towards Asexuality scale

While predictors of attitudes toward lesbians and gay men, as well as bisexuals and trans individuals, have been investigated relatively thoroughly, attitudes toward asexuality are a recently emerging field. The current study investigates predictors of attitudes toward asexuality, operationally defined using the Attitudes Towards Asexuality (ATA) scale created by Hoffarth and colleagues in 2016 . Predictors included authoritarianism, social dominance orientation, intergroup disgust sensitivity, sexism, erotophobia–erotophilia, sociosexuality, motivation to respond without prejudice, singlism, and demographic characteristics of the perceiver. Response to the ATA indicated positivity toward asexuality, with the majority of participants expressing disagreement with the negative statements about asexuality. Many of the individual difference variables correlated moderately with the ATA. Multiple regression analyses indicated that significant predictors of the ATA included right-wing authoritarianism, internal motivation to respond without prejudice, intergroup disgust sensitivity, benevolent sexism, participant sexual orientation, and religiosity. Together, these six predictors accounted for half of the variance in the ATA. The findings of this study suggest that attitudes toward asexuality are similarly predicted by those individual difference variables that predict attitudes toward gays, lesbians, bisexuals, and transpersons.

Readiness for treatment predicts depression outcomes in a partial hospital program.

Evidence-based interventions vary in effectiveness for individuals with depression, which has a large public health burden. Readiness for change or treatment can be an important individual difference predictor of depression outcomes. To inform public service initiatives targeting readiness for treatment, characterizing readiness across settings and levels of care is key. However, limited data exist on the role of readiness for treatment in acute psychiatric settings and in particular, partial hospital programs which are key points in the continuity of inpatient and outpatient care. The present study assessed readiness for treatment in terms of importance, confidence, and motivation to engage in a partial hospital program and tested whether higher levels of readiness were associated with better treatment outcomes among clients with depression. Participants (N = 192) with major depressive disorder rated their readiness for treatment (Readiness Rulers), depression (Patient Health Questionnaire-9), and global improvement (Clinical Global Impression Scale-Improvement Self-Report) while enrolled in a partial hospital program. Generalized linear regression models assessed the effect of baseline readiness on outcomes at discharge, adjusted for baseline level of the outcome, age, sex, race, and ethnicity. Greater baseline readiness predicted reduced depression and better global improvement at discharge. Higher confidence and motivation to engage in treatment, but not importance, were associated with better depression outcomes. Identifying and addressing readiness for treatment by leveraging public health systems and services (e.g., help lines, family interventions) prior to or upon starting a partial hospital program may be useful to maximize gains in treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Domain-general and -specific individual difference predictors of an uncanny valley and uncanniness effects

Near humanlike artificial entities can appear eerie or uncanny. This uncanny valley is here investigated by testing five individual difference measures as predictors of uncanniness throughout a variety of stimuli. Coulrophobia predicted uncanniness of distorted faces, bodies, and androids and clowns; disgust sensitivity predicted the uncanniness of some distorted faces; the anxiety facet of neuroticism predicted the uncanniness of some distorted faces, bodies, and voices; deviancy aversion and need for structure predicted uncanniness of distorted places and voices. Taken together, the results suggest that while uncanniness can be caused by multiple, domain-independent (e.g., deviancy aversion) and domain-specific (e.g., disease avoidance) mechanisms, the uncanniness of androids specifically may be related to a fear of clowns, potentially due to a dislike of exaggerated human proportions.

The positive–negative–competence (PNC) model of psychological responses to representations of robots

Robots are becoming an increasingly prominent part of society. Despite their growing importance, there exists no overarching model that synthesizes people’s psychological reactions to robots and identifies what factors shape them. To address this, we created a taxonomy of affective, cognitive and behavioural processes in response to a comprehensive stimulus sample depicting robots from 28 domains of human activity (for example, education, hospitality and industry) and examined its individual difference predictors. Across seven studies that tested 9,274 UK and US participants recruited via online panels, we used a data-driven approach combining qualitative and quantitative techniques to develop the positive–negative–competence model, which categorizes all psychological processes in response to the stimulus sample into three dimensions: positive, negative and competence-related. We also established the main individual difference predictors of these dimensions and examined the mechanisms for each predictor. Overall, this research provides an in-depth understanding of psychological functioning regarding representations of robots.

The Thalamus in Perioperative Neurocognitive Disorders.

Thalamus function and structure are known predictors of individual differences in the risk of age-related neurocognitive disorders (NCD), such as dementia. However, to date, little is known about their role in the perioperative setting. Here, we provide a narrative review of brain-imaging studies of preoperative and postoperative thalamus scanning parameters associated with risks of developing perioperative NCD, such as postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) during the postoperative phase. These findings are discussed in light of the concept of reserve capacity.

Predicting attitudes toward cryptocurrencies and stocks: The divergent roles of narcissism, intelligence and financial literacy

Relatively narcissistic people are attracted to cryptocurrencies, though it is unclear whether they are differentially attracted to cryptocurrencies over other investments. Furthermore, theoretically, only narcissistic admiration, rather than narcissistic rivalry, would be expected to associate with attitudes toward cryptocurrencies. Intelligence and financial literacy are also proposed individual difference predictors of attitudes toward investments. Consequently, we administered measures of narcissistic admiration and rivalry, a financial literacy test, and a battery of intelligence tests to a sample of young adults (N = 372). Based on a structural equation model, narcissistic admiration and narcissistic rivalry differentially predicted attitudes toward cryptocurrencies (admiration, positively; rivalry, negatively), but both failed to associate significantly with attitudes toward stocks. Furthermore, financial literacy was a unique, positive predictor of attitudes toward stocks, whereas intelligence was a unique, negative predictor of attitudes toward cryptocurrencies. Our findings support the notion that narcissism is differentially associated with attitudes toward cryptocurrencies, though only narcissistic admiration (positively), consistent with the hypersensitivities to reward theory. Finally, higher levels of intelligence, controlling for financial literacy and narcissism, associated negatively with attitudes toward cryptocurrencies, perhaps due to the influence of scepticism.

A comprehensive item-level examination of Conscientiousness' underlying structure across three large samples.

The present study examined the hierarchical structure of Conscientiousness across three large samples using item-level analyses. Conscientiousness is among the strongest predictors of individual differences in major life outcomes. Yet decades of work understanding the optimal lower-order structure of Conscientiousness has not rectified the differences that remain among existing models and measures. To precisely measure its relations to major life outcomes, it is necessary to work toward a comprehensive, replicable conceptualization of the construct's structure. The present pre-registered study used three samples (Ns = 446, 406, & 424) to explore the domain's latent structure with item-level "bass-ackward" factor analyses and evaluate the resulting structure's interpretability, parsimony, and replicability. Participants completed self-report measures of Conscientiousness and criteria in its nomological network (e.g., FFM traits, externalizing behavior, disinhibitory traits; informant reports were collected as well). The factor analyses identified five interpretable and replicable factors (i.e., deliberation, order, industriousness, self-discipline, and dependability) using predominant measures of general personality. An additional factor (i.e., traditionalism) was introduced in the six-factor solution when the item pool was expanded to include less widely used measures of general personality. The authors discuss the item composition of each factor, their relation to existing models and measures of the domain's structure, their association with relevant criteria, and the general implications of conceptualizing Conscientiousness using flexible, item-level factor analysis.

Neuropsychology of cognitive aging in rhesus monkeys

Aged rhesus monkeys, like aged humans, show declines in cognitive function. We present cognitive test data from a large sample of male and female rhesus monkeys, 34 young (aged 3.5–13.6 years) and 71 aged (aged 19.9–32.5 years at the start of cognitive testing). Monkeys were tested on spatiotemporal working memory (delayed response), visual recognition memory (delayed nonmatching to sample), and stimulus-reward association learning (object discrimination), tasks with an extensive evidence base in nonhuman primate neuropsychology. On average, aged monkeys performed worse than young on all 3 tasks. Acquisition of delayed response and delayed nonmatching to sample was more variable in aged monkeys than in young. Performance scores on delayed nonmatching to sample and object discrimination were associated with each other, but neither was associated with performance on delayed response. Sex and chronological age were not reliable predictors of individual differences in cognitive outcome among the aged monkeys. These data establish population norms for multiple cognitive tests in young and aged rhesus monkeys in the largest sample reported to date. They also illustrate independence of cognitive aging in task domains dependent on the prefrontal cortex and medial temporal lobe.

The effects of socioeconomic status on working memory in childhood are partially mediated by intersensory processing of audiovisual events in infancy

Socioeconomic status (SES) is a well-established predictor of individual differences in childhood language and cognitive functioning, including executive functions such as working memory. In infancy, intersensory processing—selectively attending to properties of events that are redundantly specified across the senses at the expense of non-redundant, irrelevant properties—also predicts language development. Our recent research demonstrates that individual differences in intersensory processing in infancy predict a variety of language outcomes in childhood, even after controlling for SES. However, relations among intersensory processing and cognitive outcomes such as working memory have not yet been investigated. Thus, the present study examines relations between intersensory processing in infancy and working memory in early childhood, and the role of SES in this relation. Children (N = 101) received the Multisensory Attention Assessment Protocol at 12-months to assess intersensory processing (face-voice and object-sound matching) and received the WPPSI at 36-months to assess working memory. SES was indexed by maternal education, paternal education, and income. A variety of novel findings emerged. 1) Individual differences in intersensory processing at 12-months predicted working memory at 36-months of age even after controlling for SES. 2) Individual differences in SES predicted intersensory processing at 12-months of age. 3) The well-established relation between SES and working memory was partially mediated by intersensory processing. Children from families of higher-SES have better intersensory processing skills at 12-months and this combination of factors predicts greater working memory two years later at 36-months. Together these findings reveal the role of intersensory processing in cognitive functioning.

Hold me or stroke me? Individual differences in static and dynamic affective touch.

Low-threshold mechanosensory C-fibres, C-tactile afferents (CTs), respond optimally to sensations associated with a human caress. Additionally, CT-stimulation activates brain regions associated with processing affective states. This evidence has led to the social touch hypothesis, that CTs have a key role in encoding the affective properties of social touch. Thus, to date, the affective touch literature has focussed on gentle stroking touch. However, social touch interactions involve many touch types, including static, higher force touch such as hugging and holding. This study aimed to broaden our understanding of the social touch hypothesis by investigating relative preference for static vs dynamic touch and the influence of force on these preferences. Additionally, as recent literature has highlighted individual differences in CT-touch sensitivity, this study investigated the influence of affective touch experiences and attitudes, autistic traits, depressive symptomology and perceived stress on CT-touch sensitivity. Directly experienced, robotic touch responses were obtained through a lab-based study and vicarious touch responses through an online study where participants rated affective touch videos. Individual differences were determined by self-report questionnaire measures. In general, static touch was preferred over CT-non-optimal stroking touch, however, consistent with previous reports, CT-optimal stroking (velocity 1-10 cm/s) was rated most pleasant. However, static and CT-optimal vicarious touch were rated comparably for dorsal hand touch. For all velocities, 0.4N was preferred over 0.05N and 1.5N robotic touch. Participant dynamic touch quadratic terms were calculated for robotic and vicarious touch as a proxy CT-sensitivity measure. Attitudes to intimate touch significantly predict robotic and vicarious quadratic terms, as well as vicarious static dorsal hand touch ratings. Perceived stress negatively predicted robotic static touch ratings. This study has identified individual difference predictors of CT-touch sensitivity. Additionally, it has highlighted the context dependence of affective touch responses and the need to consider static, as well as dynamic affective touch.

Composite Measures of Brain Activation Predict Individual Differences in Behavioral Stroop Interference.

The goal of the current study was to interrogate aspects of the cascade-of-control model [Banich, M. T. The Stroop effect occurs at multiple points along a cascade of control: Evidence from cognitive neuroscience approaches. Frontiers in Psychology, 10, 2164, 2019] (Banich, 2009), a neurocognitive model that posits how portions of pFC interact in a cascade-like manner to overcome interference from task-irrelevant information, and to test whether it could be used to predict individual differences in cognitive control outside the scanner. Participants (n = 62) completed two fMRI Word-Picture Stroop tasks, one containing emotional stimuli and one containing non-emotional stimuli, as well as a behavioral out-of-scanner Color-Word Stroop task at each of two time points. In a departure from the traditional approach of using a single task contrast to index neural activation across all ROIs, the current study utilized specific ROI by contrast pairings selected based on the specific level of control hypothesized by the cascade-of-control model to occur within that region. In addition, data across both tasks and both time points were combined to create composite measures of neural activation and of behavior. Consistent with the cascade-of-control model, individual differences in brain activation for specific contrasts within each of the three ROIs were associated with behavioral interference on the standard Color-Word Stroop task. Testing of alternative models revealed that these brain-behavior relationships were specific to the theoretically driven ROI by contrast pairings. Furthermore, such relationships were not observed across single-task and single-time point measures, but instead emerged from the composite measures. These findings provide evidence that brain activation observed across multiple regions of frontal cortex, each of which likely exerts cognitive control in a differential manner, is capable of predicting individual differences in behavioral performance.

A Precautionary Tale: Individual Decision Making in the Time of COVID-19

Precaution taking is an important part of managing COVID-19 and has been since the start of the pandemic. Guided by the Health Belief Model, two studies conducted during the beginning of the COVID-19 pandemic aimed to identify possible individual difference predictors of precautionary actions. Study 1 was an online, cross-sectional study using 763 adults aged 20-79 years old. Study 2, a 30-day daily diary study, examined daily precautions in 261 persons over the age of 55 years old. Study 1 and Study 2 indicated that COVID-19 knowledge predicted precautionary behaviors. Multilevel models from Study 2 indicated that daily increases in in-person interactions and leaving home were associated with decreases in precautions, but increases in disruption to routine were associated with increases in precautions. In both studies, including concurrent and lagged models in Study 2, significant interactions between information seeking and perceived risk suggested higher information seeking was related to higher precautions for those who consider themselves low risk. Findings highlight the burden of daily precautions and potentially modifiable factors of engagement in precautions.

Anxious Brains: A Combined Data Fusion Machine Learning Approach to Predict Trait Anxiety from Morphometric Features.

Trait anxiety relates to the steady propensity to experience and report negative emotions and thoughts such as fear and worries across different situations, along with a stable perception of the environment as characterized by threatening stimuli. Previous studies have tried to investigate neuroanatomical features related to anxiety mostly using univariate analyses and thus giving rise to contrasting results. The aim of this study is to build a predictive model of individual differences in trait anxiety from brain morphometric features, by taking advantage of a combined data fusion machine learning approach to allow generalization to new cases. Additionally, we aimed to perform a network analysis to test the hypothesis that anxiety-related networks have a central role in modulating other networks not strictly associated with anxiety. Finally, we wanted to test the hypothesis that trait anxiety was associated with specific cognitive emotion regulation strategies, and whether anxiety may decrease with ageing. Structural brain images of 158 participants were first decomposed into independent covarying gray and white matter networks with a data fusion unsupervised machine learning approach (Parallel ICA). Then, supervised machine learning (decision tree) and backward regression were used to extract and test the generalizability of a predictive model of trait anxiety. Two covarying gray and white matter independent networks successfully predicted trait anxiety. The first network included mainly parietal and temporal regions such as the postcentral gyrus, the precuneus, and the middle and superior temporal gyrus, while the second network included frontal and parietal regions such as the superior and middle temporal gyrus, the anterior cingulate, and the precuneus. We also found that trait anxiety was positively associated with catastrophizing, rumination, other- and self-blame, and negatively associated with positive refocusing and reappraisal. Moreover, trait anxiety was negatively associated with age. This paper provides new insights regarding the prediction of individual differences in trait anxiety from brain and psychological features and can pave the way for future diagnostic predictive models of anxiety.

Contributions of face processing, social anhedonia and mentalizing to the expression of social autistic-like traits.

Quantitative autistic-like traits (QATs) are a constellation of traits that mirror those of clinical autism and are thought to share the same mechanisms as the condition. There is great interest in identifying the genetic and neurobiological basis of QATs, but progress is hindered by the composite nature of these clinically based constructs. Social QATs are defined according to the diagnostic criteria for autism, comprising multiple potential neural mechanisms that may contribute to varying degrees. The objective of this study was to decompose social QATs into more specific constructs, in line with the Research Domain Criteria (RDoC). We chose constructs with trait-like properties and known or suggested significance for autistic social function: (1) social anhedonia, (2) prosopagnosia (face blindness), and (3) mentalizing (attributing mental states to images of eyes). We hypothesized that these constructs may all contribute to observed variance in social QATs. We recruited 148 adults with a broad range of QATs (mean age 37.9 years, range 18-69; 50% female; 5.4% autistic) to an experimental behavioral study conducted online. We estimated social QATs using the social factor of the Comprehensive Autistic Traits Inventory. We used the Oxford Face Matching Task and the Reading the Mind in the Eyes Test to measure face matching ability and mentalizing, respectively. Social anhedonia traits were measured with the Anticipatory and Consummatory Interpersonal Pleasure Scale, and prosopagnosic traits with the 20-item Prosopagnosia Index. A combination of frequentist and Bayesian statistics was used to test the social constructs as predictors of social QATs. We found that social anhedonic traits, prosopagnosic traits, and face matching performance were likely predictors of social QATs, whereas mentalizing showed limited contribution. The findings support prosopagnosic and anhedonic traits, but not mentalizing deficits, as dimensional predictors of individual differences in social function across the autistic spectrum. Further, the study strongly suggests that social reward systems and face processing networks play significant and independent roles in autistic-like social function.