Large Online Sample Research Articles

Singing accuracy across the lifespan.

Although singing is a nearly universal human behavior, many adults consider themselves poor singers and avoid singing based on self-assessment of pitch matching accuracy during singing (here referred to as singing accuracy), in contrast to the uninhibited singing exhibited by children. In this article, I report results that shed light on how singing accuracy changes across the lifespan, using data from a large online sample, including participants ranging from 6 to 99 years old. Results suggest that singing accuracy improves dramatically from childhood to young adulthood, unperturbed by voice changes during adolescence, and remain at a similarly high level for the remainder of life, exhibiting no strong tendency toward age-related decline. Vocal or instrumental musical training has significant positive effects on singing accuracy, particularly in childhood, though there was no evidence for gender differences. Finally, pitch discrimination varied with age similarly to singing accuracy, in support of views that singing accuracy reflects sensorimotor learning. Taken together, these results are consistent with the view that singing accuracy is a learned motor skill that benefits from engagement and can remain a fruitful endeavor into old age.

Alexithymia and binge eating: Maladaptive emotion regulation strategy or deficient interoception?

Alexithymia has been linked to various excessive behaviors as a likely risk factor, including binge eating. Such relationships are often attributed to deficient emotional self-regulation in alexithymia, ostensibly leading to the use of maladaptive, externalized behaviors as strategies for coping with distress. An alternative view is that alexithymia reflects a fundamental deficit of interoceptive awareness that, in the case of binge eating, would suggest that internal satiety cues are poorly recognized, promoting overconsumption. The present study assessed the relationship between alexithymia and binge eating in the context of these competing hypotheses. A large online sample of young adults (n = 532) completed validated measures of alexithymia, emotion regulation, interoception, binge eating, emotional eating motivation, and sensitivity to reward and punishment. Correlations were as expected except for interoception, which showed minimal association with alexithymia or binge eating. In a hierarchical regression controlling for age, gender, education level and student status as covariates, binge eating was predicted by emotional eating motivation, emotion regulation (a negative predictor), alexithymia, and reward sensitivity, with the final model explaining 53% of variance in binge eating. Bootstrapped path analyses controlling for all other variables indicated that the relationship between alexithymia and binge eating was mediated by deficient emotion regulation but not deficient interoception, and that the relationships of both alexithymia and emotion regulation with binge eating were mediated by emotional eating motivation. Results are consistent with the notion that the association of alexithymia with binge eating reflects deficient emotion regulation in alexithymia, which can lead to adoption of maladaptive, externalized behaviors such as binge eating for coping with distress.

An Exploration of Within-Cultural Differences of a Culture-specific Syndrome: The Case of Brazilian jeitinho

To what extent are cultural syndromes invariant within nations or can we identify within-cultural variability in structure and endorsement of cultural syndromes? These questions are central to a) recent discussions around the relevance of nation-states in cultural vs. geographical psychology and b) explorations of how cultural syndromes described in anthropological research are endorsed by individuals within and across regions within the country. We report data on Brazilian jeitinho, an informal problem-solving strategy that is central to Brazilian culture but may show within-cultural variability as suggested in previous anthropological and sociological research. Using a large online sample ( N = 1259) we found evidence of full score equivalence for two multi-dimensional jeitinho measures across the most populous Brazilian regions, suggesting that respondents interpret the instruments similarly. Second, we found no practically meaningful mean differences: jeitinho was endorsed equally across all regions of the country. Finally, we found some small but consistent associations with demographic variables, notably gender, age, and education differences. We need to pay greater attention to behavioral functionality at individual level—the social position of individuals within the system rather than geographical boundaries.

Women who challenge or defend the status quo: Ingroup identities as predictors of progressive and reactionary collective action

AbstractCollective action (CA) research looking at gender has focused predominantly on feminist activism, overlooking activism of women who reinforce gender inequalities and traditional gender roles (such as women supporting men's rights or anti‐abortion protesters). Our research addresses this oversight, demonstrating the key role of identity content in predicting CA in support of progressive and reactionary social change among women. Using two large online samples of women from the US (Study 1: N = 1825) and the UK (Study 2: N = 992), we show that identification with ‘women’ is either weakly associated or unrelated to progressive and reactionary CA and is thus too broad to differentiate between support for CA with opposing goals. In contrast, subgroup identities matter: feminist identification is associated with support for progressive CA, while identification with traditional women is associated with support for reactionary CA. We discuss the implications of our findings for research on CA and gender inequalities.

The effect of apathy and compulsivity on planning and stopping in sequential decision-making.

Real-life decision-making often comprises sequences of successive decisions about whether to take opportunities as they are encountered or keep searching for better ones instead. We investigated individual differences related to such sequential decision-making and link them especially to apathy and compulsivity in a large online sample (discovery sample: n = 449 and confirmation sample: n = 756). Our cognitive model revealed distinct changes in the way participants evaluated their environments and planned their own future behaviour. Apathy was linked to decision inertia, i.e., automatically persisting with a sequence of searches for longer than appropriate given the value of searching. Thus, despite being less motivated, they did not avoid the effort associated with longer searches. In contrast, compulsivity was linked to self-reported insensitivity to the cost of continuing with a sequence of searches. The objective measures of behavioural cost insensitivity were clearly linked to compulsivity only in the discovery sample. While the confirmation sample showed a similar effect, it did not reach significance. Nevertheless, in both samples, participants reported awareness of such bias (experienced as "overchasing"). In addition, this awareness made them report preemptively avoiding situations related to the bias. However, we found no evidence of them actually preempting more in the task, which might mean a misalignment of their metacognitive beliefs or that our behavioural measures were incomplete. In summary, individual variation in distinct, fundamental aspects of sequential decision-making can be linked to variation in 2 measures of behavioural traits associated with psychological illness in the normal population.

Knowing me, knowing you: Interpersonal similarity improves predictive accuracy and reduces attributions of harmful intent

To benefit from social interactions, people need to predict how their social partners will behave. Such predictions arise through integrating prior expectations with evidence from observations, but where the priors come from and whether they influence the integration into beliefs about a social partner is not clear. Furthermore, this process can be affected by factors such as paranoia, in which the tendency to form biased impressions of others is common. Using a modified social value orientation (SVO) task in a large online sample (n = 697), we showed that participants used a Bayesian inference process to learn about partners, with priors that were based on their own preferences. Paranoia was associated with preferences for earning more than a partner and less flexible beliefs regarding a partner's social preferences. Alignment between the preferences of participants and their partners was associated with better predictions and with reduced attributions of harmful intent to partners. Together, our data and model expand upon theories of interpersonal relationships by demonstrating how dyadic similarity mechanistically influences social interaction by generating more accurate predictions and less threatening impressions.

Trajectories and Individual Differences in Pain, Emotional Distress, and Prescription Opioid Misuse During the COVID-19 Pandemic: A One-Year Longitudinal Study

Recent studies suggest that the COVID-19 pandemic can serve as a unique psychosocial stressor that can negatively impact individuals with chronic pain. Using a large online sample in the U.S., the present study sought to investigate the impact of the pandemic on the trajectories of pain severity and interference, emotional distress (ie, anxiety and depressive symptoms), and opioid misuse behaviors across one year. Potential moderating effects of socio-demographic factors and individual differences in pain catastrophizing, pain acceptance, and sleep disturbance on outcome trajectories were also examined. Adults with chronic pain were surveyed three times across 1 year (April/May 2020 [N = 1,453]; June/July 2020 [N = 878], and May 2021 [N = 813]) via Amazon's Mechanical Turk online crowdsourcing platform. Mixed-effects growth models revealed that pain severity and interference, emotional distress, and opioid misuse behaviors did not significantly deteriorate across one year during the pandemic. None of the socio-demographic factors, pain catastrophizing, or sleep disturbance moderated outcome trajectories. However, individuals with higher pain acceptance reported greater improvement in pain severity (P< .008, 95% CI: -.0002, -.00004) and depressive symptoms (P< .001, 95% CI: -.001, -.0004) over time. Our findings suggest that the negative impact of the pandemic on pain, emotional distress, and opioid misuse behaviors is quite small overall. The outcome trajectories were also stable across different socio-demographic factors, as well as individual differences in pain catastrophizing and sleep disturbance. Nevertheless, interventions that target improvement of pain acceptance may help individuals with chronic pain be resilient during the pandemic. PerspectiveIndividuals with chronic pain overall did not experience significant exacerbation of pain, emotional distress, and opioid misuse across one year during the COVID-19 pandemic. Individuals with higher pain acceptance showed greater improvement in pain severity and depressive symptoms over time during the pandemic.

Beyond (low) Agreeableness: Toward a more comprehensive understanding of antagonistic psychopathology.

In clinical psychopathology research, up to seven traits have been suggested as instances of antagonistic psychopathology. Those antagonistic traits, in turn, are commonly viewed as reflections of low Agreeableness as per the Big Five (BF-AG). However, specific theoretical differences between antagonistic traits suggest that other broad, basic dimensions beyond BF-AG ought to provide further points of correspondence. Specifically, whereas primarily affective antagonistic traits are closely aligned with BF-AG, primarily behavioral antagonistic traits are better aligned with Honesty-Humility (HH) from the HEXACO model and primarily cognitive antagonistic traits are better aligned with the common core of aversive traits (the Dark Factor of Personality, D). Indeed, from a theoretical perspective, D seems to be the only candidate sufficiently covering all aspects of antagonistic traits (affect, behavior, and cognition) to a comparable extent and thus affording a balanced representation of antagonistic psychopathology. We critically test these conjectures in a large and heterogeneous online sample (N=3,396), investigating the overlap between antagonistic traits and basic personality via structural equation modeling. Results show that BF-AG, HH, and D each yield particularly strong ties to one group of antagonistic traits (affective, behavioral, and cognitive, respectively), while D offers the most balanced representation of all (groups of) antagonistic traits.

Mental wellbeing and psychological distress in the UK during the COVID-19 pandemic: a comparison across time

ABSTRACT Objective This study aimed to assess the trajectory of wellbeing and psychological distress in a UK sample by comparing data taken from the first and second UK lockdowns. Method Wellbeing (indexed via the Warwick-Edinburgh Mental Wellbeing Scale) and psychological distress (indexed via the K10) were measured in two surveys in large online samples from Wales, UK. The first survey (n = 12,989) took place 11–16 weeks into the first UK lockdown and the second survey (n = 10,428) took place 4–11 weeks into the second UK lockdown. Results Levels of wellbeing were lower in the second survey compared to the first survey, which were already low compared to pre-pandemic data (2019). Clinically significant levels of psychological distress were found in 40.4% of participants in the second survey, representing a 9.8% increase in prevalence from the first survey. Poorer mental health was found in women, younger adults, and those from deprived areas. The greatest reduction in mental health was found in the youngest age group (16-24 years old). Discussion The COVID-19 pandemic and the measures taken to curb its spread continue to negatively impact the wellbeing of the UK population.

Childhood interpersonal trauma and paranoia in psychosis: The role of disorganised attachment and negative schema

Paranoia is associated with significant distress and is associated with childhood trauma. Understanding the mechanisms responsible for this association is important for informing psychological interventions. Theoretical proposals suggest that negative schema and insecure attachment may be important mechanisms in the development of paranoia. Disorganised attachment may be particularly relevant. The current study is the first to examine whether the relationship between childhood interpersonal trauma and paranoia is mediated by disorganised attachment, and the impact of disorganised attachment on negative self and negative other schema.A large online sample of 242 people with self-reported psychosis completed measures of childhood trauma, attachment, self and other schema, paranoia and psychosis symptomatology.Path analysis indicated that childhood interpersonal trauma was associated with disorganised attachment, which in turn was associated with negative self-schema, negative other schema, and paranoia. Negative schema about others, but not self, was associated with paranoia. Disorganised attachment and negative other schema fully mediated the relationship between trauma and paranoia. Negative other schema partially mediated the association between disorganised attachment and paranoia. Results were found when controlling for depression, hallucinations and age.Results suggest that interventions that aim to modify disorganised attachment patterns and negative schema about others can potentially alleviate the impact of trauma on paranoia. Findings provide justification for longitudinal studies to confirm the direction of effects, and intervention studies that aim to manipulate disorganised attachment and negative schema about others and observe the impact of this on paranoia.

Remembering Election Night 2016: Subjective but not objective metrics of autobiographical memory vary with political affiliation, affective valence, and surprise.

Flashbulb memories represent a unique phenomenon linking research on cognition with research on emotion, yet most studies on this phenomenon have characterized collective events that are negative and unexpected in nature. In contrast, the 2016 American election of Donald Trump was a public, culturally shared event, eliciting extreme emotional responses that were positive for some individuals but negative for others, as well as varying levels of surprise. We longitudinally evaluated autobiographical memories for Election Night 2016 in a large online sample of Clinton supporters, Trump supporters, and third-party/nonvoters over a 12-month period, in terms of both objective memory metrics (information quantity and memory consistency) and subjective memory metrics (including memory confidence, metacognition, and sensory experience). Emotional responses to the election outcome varied widely, with Clinton supporters reporting highly negative responses, Trump supporters reporting highly positive responses, and third-party/nonvoters reporting mildly negative responses. Emotional intensity was enhanced in surprised versus nonsurprised individuals. Relative to third-party/nonvoters, Clinton and Trump supporters reported greater memory vividness, event importance, and sensory experience. Additionally, limited valence effects on subjective memory were observed (including higher memory confidence in Trump supporters and higher memory rehearsal in Clinton supporters). These differences in subjective experience were observed despite similar levels of information quantity and consistency as a function of valence. This characterization of memories for surprising positive events suggests they share many of the paradoxical qualities of memories for negative events often discussed as "flashbulb memories" but also points to potential differences in memory phenomenology for personal versus collectively experienced events. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Psychometric Properties of Common Measures of Hypersexuality in an Online Canadian Sample

BackgroundHypersexuality has been posited as the central defining feature of Compulsive Sexual Behavior Disorder, and although the acceptance and inclusion of this construct in psychiatric nosologies provides some legitimacy, concerns surrounding terminology, assessment, and diagnosis remain. AimThe present study was an independent psychometric examination of 2 of the most commonly used measures of Compulsive Sexual Behavior Disorder; specifically, the gender invariance of the latent structure, reliability (test retest, internal consistency), and external correlates (concurrent validity) of these measures. MethodsThe Sexual Compulsivity Scale and the Hypersexual Behavior Inventory were completed by 2 nonclinical online community samples of cisgender women (ns = 525 and 359), cisgender men (ns = 419 and 364), and transgender or non-binary individuals (ns = 38 and 11). OutcomesCriterion based measures of sexual history and total sexual outlet (number of orgasms per week) were gathered to validate Sexual Compulsivity Scale and Hypersexual Behavior Inventory total and factor scores. ResultsResults supported the factorial validity of both assessment measures: correlated 3 factor solutions were established through exploratory factor analysis of 1 sample, and confirmatory factor analysis in the second sample. Multiple group confirmatory factor analysis, conducted on the 2 combined samples, also supported the gender invariance of the 3-factor solutions. Additional basic psychometric indices of test-retest and internal consistency reliability and criterion-related (concurrent) validity conducted across the 2 online samples were supported. Clinical ImplicationsCommon measures of hypersexuality have potential for use in its assessment, treatment, and management. Strengths & LimitationsStudy strengths include: the inclusion of 2 fairly large and diverse online samples, thorough checks for insufficient effort/validity of responding, validity and reliability methodology (ie, measurement at multiple time points, obtaining behavioral indicators of sexual health), and a comprehensive set of psychometric analyses to inform conclusions regarding the external validity, reliability, and latent structure of hypersexuality measures across gender groups. Study limitations include: potential concerns related to validity and accuracy of responding owing to a reliance on self-report, the potential for selection bias, and limiting the examination of the latent structure of hypersexuality to cisgender men and women such that the results may not generalize to gender diverse populations. ConclusionHypersexuality is a multidimensional construct, with a common latent structure among cisgender men and women, consistency in measurement over time, and meaningful concurrent associations with behavioral criteria that have relevance for sexual health.Olver ME, Kingston DA, Laverty EK, et al. Psychometric Properties of Common Measures of Hypersexuality in an Online Canadian Sample. J Sex Med 2022;19:331–346.

The Convergence of Self and Informant Reports in a Large Online Sample

Despite their added benefits, informant-reports are largely underutilized in personality research. We demonstrate the feasibility of collecting informant-reports online, where researchers have unprecedented access to large, global populations. Using an entirely free, opt-in procedure tied to an existing personality survey, we collected 1,554 informant-reports for 921 unique targets, in conjunction with over 158,000 self-reports. Informant-reports showed a strong correspondence to self-reported traits at three levels of analysis: among the Big Five domains, the lower-level SPI-27 factors (Condon, 2018), and at the item-scale level. Among the Big Five, self-informant agreement ranged between .63 and .72, except for Openness (.42). Higher informant-ratings of Extraversion were positively associated with all Big Five self-ratings in the direction of social desirability. Across the Big Five and the 27 lower-order traits, agreement was strongest between self-reports of compassion and informant-reports of agreeableness (.74) and weakest between self-reported emotional expressiveness and informant-reported emotional stability (.02). Agreement between informants was roughly equivalent for all of the Big Five traits (.29 to .35) and attractiveness (.37), though agreement between informants for perceived intelligence was non-significant. In addition, we empirically identified the self-report items that best predict what informants say about targets, highlighting the features of self-reported personality that are most readily confirmed by informants. Finally, we discuss group level differences of participants who interacted with the informant-report system at various levels. In general, participants who sought and provided informant reports are more open and agreeable than the general sample, though targets’ personality did not affect whether or not invited informants provided ratings.

Predictors of Severity and Change in Emotion Dysregulation among Children and Adolescents with ASD

ABSTRACT Objective Emotion dysregulation problems are prevalent and disruptive for many with autism spectrum disorder (ASD). This study compared severity and perceived change in emotion dysregulation in youth with and without ASD and probed correlates of emotion dysregulation (including possible two-way interactions) among youth with ASD. Method Participants were drawn from two large online samples (mean age = 12; range: 6–17) with (N = 1323) and without (N = 921) ASD. The study used the Emotion Dysregulation Inventory (EDI), a parent-report measure designed for youth with ASD. The EDI asks parents about current severity and perceived change (i.e. how current severity compares to lifetime severity) in emotion dysregulation, and includes two factors: Reactivity (rapidly escalating, intense negative affect) and Dysphoria (poorly upregulated positive affect, general unease). Results Results indicated that youth with ASD had greater Reactivity severity and also greater positive change in Reactivity than non-ASD peers. Furthermore, differences between youth with and without ASD in the relationship between Reactivity and Dysphoria suggest a distinct profile of emotion dysregulation in ASD. Within the ASD sample, age and severity of stereotyped behavior predicted Reactivity and Dysphoria severity and Reactivity change. Female gender, lower parent education, and fluent verbal ability were additional predictors of increased Reactivity severity, while intellectual disability predicted lower Dysphoria severity. Conclusions This study provides new insight into predictors of emotion dysregulation in youth with ASD and represents a first step toward identifying which children with ASD may be most vulnerable to severe emotion dysregulation problems.

Unsupervised Online Assessment of Visual Working Memory in 4- to 10-Year-Old Children: Array Size Influences Capacity Estimates and Task Performance.

The events of the COVID-19 Pandemic forced many psychologists to abandon lab-based approaches and embrace online experimental techniques. Although lab-based testing will always be the gold standard of experimental precision, several protocols have evolved to enable supervised online testing for paradigms that require direct observation and/or interaction with participants. However, many tasks can be completed online in an unsupervised way, reducing reliance on lab-based resources (e.g., personnel and equipment), increasing flexibility for families, and reducing participant anxiety and/or demand characteristics. The current project demonstrates the feasibility and utility of unsupervised online testing by incorporating a classic change-detection task that has been well-validated in previous lab-based research. In addition to serving as proof-of-concept, our results demonstrate that large online samples are quick and easy to acquire, facilitating novel research questions and speeding the dissemination of results. To accomplish this, we assessed visual working memory (VWM) in 4- to 10-year-old children in an unsupervised online change-detection task using arrays of 1–4 colored circles. Maximum capacity (max K) was calculated across the four array sizes for each child, and estimates were found to be on-par with previously published lab-based findings. Importantly, capacity estimates varied markedly across array size, with estimates derived from larger arrays systematically underestimating VWM capacity for our youngest participants. A linear mixed effect analysis (LME) confirmed this observation, revealing significant quadratic trends for 4- through 7-year-old children, with capacity estimates that initially increased with increasing array size and subsequently decreased, often resulting in estimates that were lower than those obtained from smaller arrays. Follow-up analyses demonstrated that these regressions may have been based on explicit guessing strategies for array sizes perceived too difficult to attempt for our youngest children. This suggests important interactions between VWM performance, age, and array size, and further suggests estimates such as optimal array size might capture both quantitative aspects of VWM performance and qualitative effects of attentional engagement/disengagement. Overall, findings suggest that unsupervised online testing of VWM produces reasonably good estimates and may afford many benefits over traditional lab-based testing, though efforts must be made to ensure task comprehension and compliance.

Empathy, Deservingness, and Preferences for Welfare Assistance: A Large-Scale Online Perspective-Taking Experiment

Online perspective-taking experiments have demonstrated great potential in reducing prejudice towards disadvantaged groups such as refugees or Roma. These experiments trigger the psychological process of empathy and evoke feelings of compassion. Meanwhile, a growing literature argues that compassion towards the poor is an important predictor of support for social welfare. This paper bridges these two literatures and predicts that perspective-taking with the poor could increase support for welfare assistance. This hypothesis is tested in a pre-registered experiment conducted on a large and diverse online sample of US citizens (N = 3,431). Our results suggest that participants engaged with the perspective-taking exercise, wrote essays expressing strong emotions, but perspective-taking had no meaningful causal effect on general attitudes towards social welfare. We can confidently rule out effects exceeding 2 points on a 100-point scale. These results indicate that perspective-taking with a poor, deserving individual does not necessarily reduce stereotypes about the poor in general; nor does it change views towards redistributive policies.

Internal Structure of Beck Hopelessness Scale: An Analysis of Method Effects Using the CT-C(M–1) Model

ABTRACT The construct validity in relation to the dimensionality or factor structure of the Beck Hopelessness Scale (BHS) has long been debated in psychometrics. Irrelevant variance due to item wording (method effects) can distort the factor structure, and recent studies have examined the method factor’s role in the factor structure of the BHS. However, the models used to control the method effects have severe limitations, and new models are needed. One such model is the correlated trait-correlated method minus one (CT-C(M-1)), which is a powerful approach that gives the trait factor an unambiguous meaning and prevents the anomalous results associated with fully symmetrical bifactor modeling. The present work compares the fit and factor structure of the CT-C(M-1) model to bifactor models proposed in previous literature and evaluates the criterion validity of the CT-C(M-1) model and its discriminatory capacity by taking suicidal ideation as the criterion variable. This study used a large and heterogeneous open mode online sample of Argentinian people (N = 2,164). The results indicated that the CT-C(M-1) model with positive words as referenced items achieves the most adequate factor structure. The factorial scores derived from this model demonstrate good predictive and discriminating capabilities.

Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum

BackgroundIndividuals on the autism spectrum are reported to display alterations in interoception, the sense of the internal state of the body. The Interoception Sensory Questionnaire (ISQ) is a 20-item self-report measure of interoception specifically intended to measure this construct in autistic people. The psychometrics of the ISQ, however, have not previously been evaluated in a large sample of autistic individuals.MethodsUsing confirmatory factor analysis, we evaluated the latent structure of the ISQ in a large online sample of adults on the autism spectrum and found that the unidimensional model fit the data poorly. Using misspecification analysis to identify areas of local misfit and item response theory to investigate the appropriateness of the seven-point response scale, we removed redundant items and collapsed the response options to put forth a novel eight-item, five-response choice ISQ.ResultsThe revised, five-response choice ISQ (ISQ-8) showed much improved fit while maintaining high internal reliability. Differential item functioning (DIF) analyses indicated that the items of the ISQ-8 were answered in comparable ways by autistic adolescents and adults and across multiple other sociodemographic groups.LimitationsOur results were limited by the fact that we did not collect data for typically developing controls, preventing the analysis of DIF by diagnostic status. Additionally, while this study proposes a new 5-response scale for the ISQ-8, our data were not collected using this method; thus, the psychometric properties for the revised version of this instrument require further investigation.ConclusionThe ISQ-8 shows promise as a reliable and valid measure of interoception in adolescents and adults on the autism spectrum, but additional work is needed to examine its psychometrics in this population. A free online score calculator has been created to facilitate the use of ISQ-8 latent trait scores for further studies of autistic adolescents and adults (available at https://asdmeasures.shinyapps.io/ISQ_score/).

Investigating the structure of trait rumination in autistic adults: A network analysis.

Autistic adults are substantially more likely to develop depression than individuals in the general population, and recent research has indicated that certain differences in thinking styles associated with autism may play a role in this association. Rumination, the act of thinking about the same thing over and over without a functional outcome, is a significant risk factor for depression in both autistic and non-autistic adults. However, little is known about how different kinds of rumination relate to each other and to depressive symptoms in the autistic population specifically. To fill this gap in knowledge, we recruited a large online sample of autistic adults, who completed questionnaire measures of both the tendency to ruminate and symptoms of depression. By examining the interacting network of rumination and depression symptoms, this study was able to identify particular aspects of rumination-such as thinking repetitively about one's guilty feelings or criticizing oneself-that may be particularly important in maintaining these harmful thought patterns in autistic adults. Although further study is needed, it is possible that the symptoms identified as most "influential" in the network may be particularly good targets for future interventions for mood and anxiety disorders in the autistic population.

Linking Phubbing Behavior to Self-Reported Attentional Failures and Media Multitasking

Phubbing, or using a phone to snub another person, has been investigated through social and personality frameworks. Phubbing involves attending to and performing competing tasks, implying the involvement of attentional abilities. Yet, past research has not yet used a cognitive framework to establish a link between phubbing and attention. Using self-report data from a large online sample, we explored the associations between phubbing and everyday attentional failures. Phubbing was associated with difficulties in attentional shifting and distractibility, frequent attentional lapses, spontaneous and deliberate mind wandering, and attention-related cognitive errors. When examining these attention variables alongside several psychosocial and personality variables, attention-related cognitive errors acted as the biggest predictor of phubbing behavior. Phubbing was also positively correlated with media multitasking, which is a conceptually similar yet distinct technology use behavior. The results suggest that perceived everyday attentional failures are strongly associated with, and to an extent can predict, phubbing behavior, even more so than some social and personality variables. Technology has incorporated itself as a necessity, or at the very least a favored convenience, in most people’s lives. Characterizing technology multitasking behaviors from a variety of frameworks can help us better understand who is engaging in these behaviors and why.