Why Self-Report Measures of Self-Control and Inhibition Tasks Do Not Substantially Correlate

Expectation generation and its effect on subsequent pain and visual perception

Bayesian accounts of perception, such as predictive processing, suggest that perceptions integrate expectations and sensory experience, and thus assimilate to expected values. Furthermore, more precise expectations should have stronger influences on perception. We tested these hypotheses using a within-subject paradigm that independently manipulated the mean, variance (precision), and skewness of cues presented as ratings from 10 prior participants. Forty-five participants reported their expectations regarding the painfulness of thermal stimuli or the visual contrast of flickering checkerboards. In a second session, similar (sham) cues were each followed by either a noxious thermal or a visual stimulus. Perceptions assimilated to cue-based expectations in both modalities, but precision effects were modality-specific: more precise cues enhanced assimilation in visual perception only, while higher uncertainty slightly increased reported pain. fMRI analysis revealed that the cues affected higher-level affective and cognitive systems-including assimilation to the cue mean in a neuromarker of endogenous pain processing and in the nucleus accumbens, and activity consistent with aversive prediction-error-like encoding in the periaqueductal gray during pain perception-but not early perceptual processing systems. Furthermore, behavioral and computational models of the expectation session revealed that expectations were biased towards extreme values in both modalities, and towards low-pain cues specifically. These findings suggest that predictive processing theories should be extended with mechanisms such as selective attention to outliers, and that expectation generation and its perceptual effects are mostly modality-specific and primarily influence higher-level processes rather than early perception, at least when cues are not reinforced.

Risk Assessment of Maladaptive Behaviors in Adolescents: Nutrition, Screen Time, Prenatal Exposure, Childhood Adversities - Adolescent Brain Cognitive Development Study

PURPOSE

We aimed to identify significant contributing factors to the risk of maladaptive behaviors, such as alcohol use disorder or obesity, in children. To achieve this, we utilized the extensive adolescent brain cognitive development data set, which encompasses a wide range of environmental, social, and nutritional factors.

METHODS

We divided our sample into equal sets (test, validation; n = 3,415 each). On exploratory factor analysis, six factor domains were identified as most significant (fat/sugar intake, screen time, and prenatal alcohol exposure, parental aggressiveness, hyperactivity, family violence, parental education, and family income) and used to stratify the children into low- (n = 975), medium- (n = 967), high- (n = 977) risk groups. Regression models were used to analyze the relationship between identified risk groups, and differences in reward sensitivity, and behavioral problems at 2-year follow-up.

RESULTS

The functional magnetic resonance imaging analyses showed reduced activation in several brain regions during reward or loss anticipation in high/medium-risk (vs. low-risk) children on a monetary incentive delay task. High-risk children exhibited heightened middle frontal cortex activity when receiving large rewards. They also displayed increased impulsive and motivated reward-seeking behaviors, along with behavioral problems. These findings replicated in our validation set, and a negative correlation between middle frontal cortexthickness and impulsivity behavior was observed in high-risk children.

DISCUSSION

Our findings show altered reward function and increased impulsiveness in high-risk adolescents. This study has implications for early risk identification and the development of prevention strategies for maladaptive behaviors in children, particularly those at high risk.

Neuroticism and Executive Functioning Deficits: The Moderating Role of Negative Urgency

Neuroticism predicts behaviors symptomatic of behavior dysregulation. One idea is that Neuroticism encompasses deficits in executive functioning; despite this link being empirically substantiated, it remains poorly understood. If Neuroticism is associated with executive functioning deficits due to it activating impulsivity in response to negative emotion, and if Negative Urgency (NU) is the specific aspect of emotional impulsivity that amplifies impulsivity in response to negative emotion, then Neuroticism's link to executive functioning deficits should be enhanced in individuals higher in NU. A large representative sample of US adults (N = 446; Mage = 46.10; 51.1% female; 78.0% White) completed validated measures of Neuroticism, NU and Positive Urgency (PU), and executive functioning deficits. As predicted, we found that Neuroticism's link to executive functioning deficits was moderated by NU (after controlling for PU) but not PU (after controlling for NU); specifically, Neuroticism's relation to executive functioning deficits was over twice as large for people with elevated (+1 SD) versus de-elevated (-1 SD) levels of NU. Furthermore, NU moderated relations between each Neuroticism facet (e.g., Anxiety, Anger) and executive functioning deficits. The findings extend understanding of how Neuroticism relates to executive functioning, suggesting utility in distinguishing between PU and NU and potentially studying Neuroticism and NU as interacting.

The Impact of Adverse Childhood Experiences on Cognitive Control Across the Lifespan: A Systematic Review and Meta-analysis of Prospective Studies

Adverse childhood experiences (ACEs) are strongly associated with impaired cognitive control, yet research on ACEs' effects across cognitive control domains-working memory, cognitive flexibility, and inhibitory control-remains sparse. This systematic review and meta-analysis evaluated the overall impact of ACEs on each of these cognitive control domains and explored moderating factors such as age, gender, cognitive control paradigms, and ACEs subtypes based on the dimensional model of adversity and psychopathology. A database search was conducted in SCOPUS, MedLine, PsycINFO, and Web of Science. Only prospective studies were included to ensure temporal order inferences, with at least two data collection points, assessing ACEs at baseline (T1) and cognitive control during follow-up (T2). Thirty-two studies (N = 26,863) producing 124 effect sizes were analyzed. Three-level meta-analyses revealed small-to-medium negative associations between ACEs and overall cognitive control (g = -0.32), and in each domain: working memory (g = -0.28), cognitive flexibility (g = -0.28), and inhibitory control (g = -0.32). The negative associations between ACEs and cognitive control were consistent across age, gender, and cognitive control paradigms. ACEs subtypes moderated the association with cognitive flexibility (p = .04) but not working memory or inhibitory control. Specifically, the deprivation subtype exhibited a stronger negative association with cognitive flexibility compared to threat and threat-and-deprivation subtypes. These findings highlight the pervasive negative impact of ACEs on cognitive control across ages and emphasize the need for targeted interventions. Implications, current gaps, limitations in research, and future study recommendations are discussed.

Expectation generation and its effect on subsequent pain and visual perception

Bayesian accounts of perception, such as predictive processing, suggest that perceptions integrate expectations and sensory experience, and thus assimilate to expected values. Furthermore, more precise expectations should have stronger influences on perception. We tested these hypotheses in a paradigm that manipulates both the mean value and the precision of cues within-person. Forty-five participants observed cues-presented as ratings from 10 previous participants-with varying cue means, variances (precision), and skewness across trials. Participants reported expectations regarding the painfulness of thermal stimuli or the visual contrast of flickering checkerboards. Subsequently, similar cues were each followed by a visual or noxious thermal stimulus. While perceptions assimilated to expected values in both modalities, cues' precision mainly affected visual ratings. Furthermore, behavioral and computational models revealed that expectations were biased towards extreme values in both modalities, and towards low-pain cues specifically. fMRI analysis revealed that the cues affected systems related to higher-level affective and cognitive processes-including assimilation to the cue mean in a neuromarker of endogenous contributions to pain and in the nucleus accumbens, and activity consistent with aversive prediction-error-like encoding in the periaqueductal gray during pain perception-but not systems related to early perceptual processing. Our findings suggest that predictive processing theories should be combined with mechanisms such as selective attention to better fit empirical findings, and that expectation generation and its perceptual effects are mostly modality-specific and operate on higher-level processes rather than early perception.

Metacognitive knowledge about self-control

Good self-control is highly valuable, but the processes that promote it are not fully understood. This review emphasizes that self-control is "inherently metacognitive" (p. 204, Duckworth et al., 2014) and describes the potential benefits of metacognitive knowledge for self-control. In line with research on metacognition in academic goal pursuit, we elaborate how three distinct types of metacognitive knowledge may aid self-control: strategy knowledge (for example, a repertoire of self-regulatory strategies), task knowledge (for example, understanding self-control demands), and person knowledge (for example, awareness of one's self-control strengths and weaknesses). Additionally, we identify research gaps and suggest that future studies should investigate the development and updating of metacognitive knowledge about self-control and how metacognitive knowledge can prevent individuals from justifying indulgence.

Executive functions involved in thought suppression: An attempt to integrate research in two paradigms

There are two main thought suppression research paradigms: the White Bear and Think/No-Think paradigms. In Think/No-Think research, thought suppression is effective and is considered to be mediated by prepotent response inhibition. Conversely, in White Bear studies, thought suppression is counterproductive and appears to engage resistance to proactive interference. However, findings regarding the involvement of these executive functions in each task are mixed. In the current study, two thought suppression procedures were compared. Using Friedman and Miyake's inhibitory functions model (2004) it was investigated whether the differences between thought suppression tasks can be explained by involvement of different executive functions. The results showed that the suppression phases of both procedures were correlated, but the outcomes of suppression were unrelated. There was no evidence supporting the involvement of the examined executive functions in either thought suppression task. Commonalities and discrepancies of the two tasks are discussed along with their external validity.

In human-machine trust, humans rely on a simple averaging strategy

With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning to the way that humans and AI work together. A key aspect of human-AI collaboration is how people integrate judgements or recommendations from machine agents, when they differ from their own judgements. We investigated trust in human-machine teaming using a perceptual judgement task based on the judge-advisor system. Participants ( n = 89 ) estimated a perceptual quantity, then received a recommendation from a machine agent. The participants then made a second response which combined their first estimate and the machine's recommendation. The degree to which participants shifted their second response in the direction of the recommendations provided a measure of their trust in the machine agent. We analysed the role of advice distance in people's willingness to change their judgements. When a recommendation falls a long way from their initial judgement, do people come to doubt their own judgement, trusting the recommendation more, or do they doubt the machine agent, trusting the recommendation less? We found that although some participants exhibited these behaviours, the most common response was neither of these tendencies, and a simple model based on averaging accounted best for participants' trust behaviour. We discuss implications for theories of trust, and human-machine teaming.

Creating a resilient pedagogy: Character strengths intervention for aspiring educators

Teachers play a crucial role in guiding learners through life's challenges. They face educational and socio-economic shifts while striving to teach for a better future. Our study focuses on equipping future teachers, called pre-service teachers, with resilience-building resources during their teacher training program. A potential antecedent to resilience, which facilitates cognitive strategies and attentional processes, is cognitive flexibility. We first tested whether cognitive flexibility predicts resilience. Next, relying on the tenets of positive psychology, which studies resilience, we developed and tested the effectiveness of character strengths intervention in enhancing pre-service teachers' resilience and cognitive flexibility. An individual's belief in their ability to change personal resources could influence how an intervention manifests. Hence, we studied how mindset impacts the intervention's effect on cognitive flexibility and, thus, resilience. We adopted a multi-method approach, guided by Polk's theory of resilience, to test out objectives. Using a cross-sectional design, study one (n = 273) found that cognitive flexibility significantly predicted resilience. Study two (N = 193; nexp = 133, ncont = 60) was a multi-site field experiment. We found that intervention significantly enhanced resilience (experimental group M = 29.62, control group M = 28.33) and cognitive flexibility (experimental group M = 54.42, control group M = 52.01). Further, a growth mindset, was found to moderate the indirect effect of character strengths intervention on resilience via cognitive flexibility. The study contributes to theoretical and practical advancements in resilience. Taken together, the findings highlight the cognitive-affective-behavioural makeup of resilience and, importantly, the role of cognitive flexibility. The intervention can be seamlessly integrated into teacher training curricula for a resilient future.

Don't Worry About Being You: Relations Between Perceived Authenticity and Mental Health are Due to Self-Esteem and Executive Functioning

Numerous studies show that perceived authenticity is a reliable predictor of mental health outcomes. To expand on these studies, we examined whether such relations could be due to perceived authenticity's confounding with both self-esteem and executive functioning. A representative sample of US participants (N = 446; Mage = 46.10; 51.1% female; 78.0% White) completed measures of perceived authenticity, self-esteem, executive functioning, and various indicators of mental health (e.g., subjective wellbeing, depression). At the bivariate level, perceived authenticity had a positive, large correlation with a mental health composite. However, after controlling for self-esteem and executive functioning, this relationship became nonsignificant and trivial in size. The findings extend basic understanding of how self-relevant constructs contribute to mental health and suggest advice for individuals looking to capitalize on evidence linking perceived authenticity to mental health benefits: Build a strong base of self-worth and exercise agency.

Mobile phone short video use negatively impacts attention functions: an EEG study

The pervasive nature of short-form video platforms has seamlessly integrated into daily routines, yet it is important to recognize their potential adverse effects on both physical and mental health. Prior research has identified a detrimental impact of excessive short-form video consumption on attentional behavior, but the underlying neural mechanisms remain unexplored. In the current study, we aimed to investigate the effect of short-form video use on attentional functions, measured through the attention network test (ANT). A total of 48 participants, consisting of 35 females and 13 males, with a mean age of 21.8 years, were recruited. The mobile phone short video addiction tendency questionnaire (MPSVATQ) and self-control scale (SCS) were conducted to assess the short video usage behavior and self-control ability. Electroencephalogram (EEG) data were recorded during the completion of the ANT task. The correlation analysis showed a significant negative relationship between MPSVATQ and theta power index reflecting the executive control in the prefrontal region (r = -0.395, p = 0.007), this result was not observed by using theta power index of the resting-state EEG data. Furthermore, a significant negative correlation was identified between MPSVATQ and SCS outcomes (r = -0.320, p = 0.026). These results suggest that an increased tendency toward mobile phone short video addiction could negatively impact self-control and diminish executive control within the realm of attentional functions. This study sheds light on the adverse consequences stemming from short video consumption and underscores the importance of developing interventions to mitigate short video addiction.

Reliable affordances: A generative modeling approach for test-retest reliability of the affordances task

The affordances task serves as an important tool for the assessment of cognition and visuomotor functioning, and yet its test-retest reliability has not been established. In the affordances task, participants attend to a goal-directed task (e.g., classifying manipulable objects such as cups and pots) while suppressing their stimulus-driven, irrelevant reactions afforded by these objects (e.g., grasping their handles). This results in cognitive conflicts manifesting at the task level and the response level. In the current study, we assessed the reliability of the affordances task for the first time. While doing so, we referred to the "reliability paradox," according to which behavioral tasks that produce highly replicable group-level effects often yield low test-retest reliability due to the inadequacy of traditional correlation methods in capturing individual differences between participants. Alongside the simple test-retest correlations, we employed a Bayesian generative model that was recently demonstrated to result in a more precise estimation of test-retest reliability. Two hundred and ninety-five participants completed an online version of the affordances task twice, with a one-week gap. Performance on the online version replicated results obtained under in-lab administrations of the task. While the simple correlation method resulted in weak test-retest measures of the different effects, the generative model yielded a good reliability assessment. The current results support the utility of the affordances task as a reliable behavioral tool for the assessment of group-level and individual differences in cognitive and visuomotor functioning. The results further support the employment of generative modeling in the study of individual differences.

Self-regulatory control processes in youths: A temporal network analysis approach

Objective

This study aimed to better understand the temporal interrelationships among self-control, response inhibition, and anger (i.e., momentary state and rumination) on both the within- and between-person levels in male adolescents.

Method

We applied temporal network analyses among 62 male adolescents with a wide range of behavioral difficulties. Self-control, momentary anger, and anger rumination were mapped by self-report measures, whereas we measured response inhibition through an ambulatory Go/No-go task (two measures a day-morning and afternoon-over a 9-day period).

Results

Temporal network analysis, at the within-person level, revealed that morning measures of response inhibition, anger rumination, and self-control were related to the corresponding measure in the afternoon. More efficient response inhibition in the morning was associated with higher self-control in the afternoon. Higher anger rumination in the morning led to higher momentary anger in the afternoon. In a concurrent within-person network, higher momentary anger was reciprocally associated with lower self-control. At the between-person level, higher momentary anger was correlated to higher anger rumination, lower response inhibition, and lower self-control.

Discussion

This study provides insight into the dynamic interactions among self-control, response inhibition, and anger (momentary state and rumination) in male adolescents, advancing the understanding of self-regulatory control functioning.

Introducing a Neuroscience-Based Assessment Instrument: Development and Psychometric Study of the Neural Networks Symptomatology Inventory

Background: Neuroscience research methods contribute to the understanding of the underlying neural impairments associated with psychopathology. Previous research suggested that impairments in Default Mode Network, Fronto-Parietal Executive Network, Amygdaloid-Hippocampal Memory Network, and Attentional Salience Network are present in different psychopathological symptoms. However, a self-report measure based on this evidence is lacking. Aims: Therefore, the present study describes the development and preliminary psychometric study of the Neural Network Symptomatology Inventory (NNSI). Method: Two different samples were recruited (sample 1: N = 214, Mage = 21.0, SD = 7.10; sample 2: N = 194, Mage = 21.5, SD = 8.41) and responded to self-report instruments in a cross-sectional design. Standard methodologies to scale development and psychometric study were applied: Item development, Exploratory (EFA), Confirmatory Factor Analysis (CFA), and Pearson correlations. Results: EFA and CFA suggested a 4-factor model with adequate goodness-of-fit indices (χ2(449) = 808,9841, TLI = .89, CFI = .92, RMSEA = .048 (.042-.053). All NNSI subscales correlated positively with psychopathological domains and correlated negatively with psychological well-being. Conclusions: This preliminary study suggests that NNSI may be a valid instrument to assess symptomatology associated with complex neural network impairments. Nevertheless, further research is required to deepen and improve NNSI psychometric characteristics.

From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health Research

Advances in computational statistics and corresponding shifts in funding initiatives over the past few decades have led to a proliferation of neuroscientific measures being developed in the context of mental health research. Although such measures have undoubtedly deepened our understanding of neural mechanisms underlying cognitive, affective, and behavioral processes associated with various mental health conditions, the clinical utility of such measures remains underwhelming. Recent commentaries point toward the poor reliability of neuroscientific measures to partially explain this lack of clinical translation. Here, we provide a concise theoretical overview of how unreliability impedes clinical translation of neuroscientific measures; discuss how various modeling principles, including those from hierarchical and structural equation modeling frameworks, can help to improve reliability; and demonstrate how to combine principles of hierarchical and structural modeling within the generative modeling framework to achieve more reliable, generalizable measures of brain-behavior relationships for use in mental health research.

Evaluating individual differences in rewarded Stroop performance: reliability and associations with self-report measures

In three separate experiments, we examined the reliability of and relationships between self-report measures and behavioral response time measures of reward sensitivity. Using a rewarded-Stroop task we showed that reward-associated, but task-irrelevant, information interfered with task performance (MIRA) in all three experiments, but individual differences in MIRA were unreliable both within-session and over a period of approximately 4 weeks, providing clear evidence that it is not a good individual differences measure. In contrast, when the task-relevant information was rewarded, individual differences in performance benefits were remarkably reliable, even when examining performance one year later, and with a different version of a rewarded Stroop task. Despite the high reliability of the behavioral measure of reward responsiveness, behavioral reward responsiveness was not associated with self-reported reward responsiveness scores using validated questionnaires but was associated with greater self-reported self-control. Results are discussed in terms of what is actually being measured in the rewarded Stroop task.

Differential associations of rumination and cognitive flexibility with guilt and shame following potentially morally injurious events

BACKGROUND

Guilt and shame are common moral emotions following potentially morally injurious events (PMIEs), which involve events that violate one's deeply held moral values. However, not all individuals will experience guilt and shame following PMIEs and the mechanisms by which PMIEs lead to guilt and shame are not well understood. This study set out to examine the role of event-related intrusive rumination, event-related deliberate rumination, cognitive flexibility, and their interactions, in predicting PMIE-related guilt and shame.

METHODS

A subsample of undergraduate participants exposed to an objective PMIE and endorsing a subjective PMIE (N = 323) completed self-report assessments.

RESULTS

Higher levels of event-related intrusive rumination and event-related deliberate rumination and lower levels of cognitive flexibility were associated with higher levels of PMIE-related shame. Only higher levels of event-related deliberate rumination were associated with greater PMIE-related guilt. Moreover, the predictors explained much greater variance in PMIE-related shame (R²_Adj = 0.44) than PMIE-related guilt (R²_Adj = 0.05). There was no significant interaction between event-related rumination and cognitive flexibility in predicting PMIE-related guilt or shame.

LIMITATIONS

This study was cross-sectional, the sample was mostly female, and all data was collected via self-report. Longitudinal studies are needed to explore these potential mechanistic processes.

CONCLUSIONS

Our findings suggest that differential pathways may affect whether individuals experience guilt or shame following PMIEs. Rumination and cognitive flexibility may be valuable clinical targets for interventions aimed at addressing PMIE-related shame.

A Self-Controlled Mind Is Reflected by Stable Mental Processing

Self-control-the ability to inhibit inappropriate impulses-predicts economic, physical, and psychological well-being. However, recent findings demonstrate low correlations among self-control measures, raising the question of what self-control actually is. Here, we examined the idea that people high in self-control show more stable mental processing, characterized by processing steps that are fewer in number but longer lasting because of fewer interruptions by distracting impulses. To test this hypothesis, we relied on resting electroencephalography microstate analysis, a method that provides access to the stream of mental processing by assessing the sequential activation of neural networks. Across two samples (Study 1: N = 58 male adults from Germany; Study 2: N = 101 adults from Canada, 58 females), the temporal stability of resting networks (i.e., longer durations and fewer occurrences) was positively associated with self-reported self-control and a neural index of inhibitory control, and it was negatively associated with risk-taking behavior. These findings suggest that stable mental processing represents a core feature of a self-controlled mind.

Variability in repeated economic games: comparing trust game decisions to other social trust measures

Economic games are well-established tools that offer a convenient approach to study social behaviour. Although widely used, recent evidence suggests that decisions made in the context of standard economic games are less predictive of real-world behaviour than previously assumed self-reported questionnaires. A possible explanation for this discrepancy is that economic games decisions in the laboratory are more likely to be influenced by the current situation, while questionnaires are specifically designed to measure people's average behaviour across a long period of time. To test this hypothesis, we performed a longitudinal study where 275 respondents played 16 Trust games every two days within a three-week period, and filled out a questionnaire that measures social trust. This study confirmed the instability of our measure of trust behaviour over time and the substantial stability of questionnaire responses. However, we found a significant association between self-reported social trust and participants' average behaviour in the trust game measured across sessions, but also with participants' behaviour measured only in Session 1. Nevertheless, analysis of behavioural changes in the Trust games over time revealed different behavioural profiles, highlighting how economic games and questionnaires can complement each other in the study of social trust.

Reward sensitivity and hazardous alcohol consumption in women: The parallel mediation effect of self-control and impulsivity traits

Introduction: Little research has been carried out on the associations between several individual factors and hazardous alcohol use in women. The aim of this study was first, to study the relationship between reward sensitivity (RS) and alcohol use in both women with and without hazardous drinking separately. Second, to explore the potential mediating roles of the impulsivity and self-control traits in this relationship. Method: The study was analytical and cross-sectional and included 645 female participants (mean age = 19.14; standard deviation (SD)=1.60). All women were divided into two groups (286, 44.3%, with hazardous drinking, HDW; and 359, 55.7%, with light drinking, LDW). Correlation analyses were carried out to explore the associations between the variables, and parallel mediation analyses were performed to investigate the potential mediating roles of impulsivity and self-control in the RS-alcohol use associations in each group separately. Results: A significant association was observed between RS and alcohol use in HDW, contrary to that observed in their counterparts. In addition, both higher impulsivity and less self-control mediated the association between RS and alcohol use only in HDW. Conclusions: Impulsivity and self-control differently affect alcohol use under the condition of high reward sensitivity, only in HDW, suggesting alterations of the dual top-down and bottom-up mechanisms and a possible imbalance between the competing reflexive and impulsive brain systems. More research is needed regarding the individual factors that affect women's drinking to develop sensitive measures for the assessment of alcohol use and more efficient interventions for women.

Longitudinal evidence that Event Related Potential measures of self-regulation do not predict everyday goal pursuit

Self-regulation has been studied across levels of analysis; however, little attention has been paid to the extent to which self-report, neural, and behavioral indices predict goal pursuit in real-life. We use a mixed-method approach (N = 201) to triangulate evidence among established measures of different aspects of self-regulation to predict both the process of goal pursuit using experience sampling, as well as longer-term goal progress at 1, 3, and 6-month follow-ups. While self-reported trait self-control predicts goal attainment months later, we observe a null relationship between longitudinal goal attainment and ERPs associated with performance-monitoring and reactivity to positive/rewarding stimuli. Despite evidence that these ERPs are reliable and trait-like, and despite theorizing that suggests otherwise, our findings suggest that these ERPs are not meaningfully associated with everyday goal attainment. These findings challenge the ecological validity of brain measures thought to assess aspects of self-regulation.

Self-regulation helps people to achieve their goals, and has been studied across modalities. Here, the authors present longitudinal evidence suggesting that common neural and behavioral measures of self-regulation derived from laboratory tasks do not predict everyday goal pursuit.

Do Rating and Task Measures of Control Abilities Assess the Same Thing?

The ability to control our thoughts and actions is broadly associated with health and success, so it is unsurprising that measuring self-control abilities is a common goal across many areas of psychology. Puzzlingly, however, different measures of control - questionnaire ratings and computerized cognitive tasks - show only weak relationships to each other. We review evidence that this discrepancy is not just a result of poor reliability or validity of ratings or tasks. Rather, ratings and tasks seem to assess different aspects of control, distinguishable along six main dimensions. To improve the psychological science surrounding self-control, it will be important for future work to investigate the relative importance of these dimensions to the dissociations between self-control measures, and for researchers to motivate and explain which aspects of control they are studying when one or both types of measures are deployed. Keywords: cognitive control, executive function, self-regulation, self-control, impulsivity.

Age-differences in network models of self-regulation and executive control functions

Self-regulation (SR) and executive control functions (EF) are broad theoretical concepts that subsume various cognitive abilities supporting the regulation of behavior, thoughts, and emotions (c.f. Inzlicht et al., 2021; Wiebe & Karbach, 2017). However, many of these concepts stem from different psychological disciplines relying on distinct methodologies, such as self-reports (common in SR research) and performance-based tasks (common in EF research). Despite the striking overlap between SR and EF on the theoretical level, recent evidence suggests that correlations between self-report measures and behavioral tasks can be difficult to observe (e.g., Eisenberg et al., 2019). In our study, participants from a life-span sample (14-82 years) completed self-report measures and behavioral tasks, which were selected to include a variety of different facets of SR (e.g., sensation seeking, mindfulness, grit, or eating behavior) and EF (working memory, inhibition, shifting). Using this broad approach, we systematically investigated connections and overlap of different aspects of SR and EF to improve their conceptual understanding. By comparing network models of a youth, middle-aged, and older-aged group, we identified key variables that are well connected in the SR and EF construct space. In general, we found connections to be stronger within the clusters of SR and EF than between them. However, older adults demonstrated more connections between SR and EF than younger individuals, likely because of declining cognitive resources. This article is protected by copyright. All rights reserved.

Stable and momentary psychosocial correlates of everyday smoking: An application of Temporal Self-Regulation Theory

Smoking is one of the leading causes of non-communicable disease mortality and morbidity. Smoking behaviour is determined by both stable, person-level (e.g., motivation, nicotine dependence) and variable, situation-level factors (e.g., urges, cues). However, most theoretical approaches to understanding health behaviours so far have not integrated these two spheres of influence. Temporal Self-Regulation Theory (TST) integrates these person-level and situation-level factors, but has not yet been comprehensively applied to predicting smoking behaviour. We use Ecological Momentary Assessment to examine the utility of TST in predicting daily smoking. 46 smokers reported individual and environmental cues right after smoking and at random time points during the day. Cognitions, self-control, past behaviour, and nicotine dependence were assessed at baseline. Multi-level logistic regressions show that smoking is largely guided by momentary cues, but individual motivation can buffer their influence. This suggests that TST is a useful integrative approach to understand modifiable determinants of smoking and thus intervention targets.

Simple questionnaires outperform behavioral tasks to measure socio-emotional skills in students

Recent empirical research has shown that improving socio-emotional skills such as grit, conscientiousness and self-control leads to higher academic achievement and better life outcomes. However, both theoretical and empirical works have raised concerns about the reliability of the different methods used to measure socio-emotional skills. We compared the reliability and validity of the three leading measurements methods—a student-reported questionnaire, a teacher-reported questionnaire, and a behavioral task—in a sample of 3997 French students. Before analyzing the data, we polled 114 international researchers in cognitive development and education economics; most researchers in both fields predicted that the behavioral task would be the best method. We found instead that the teacher questionnaire was more predictive of students’ behavioral outcomes and of their grade progression, while the behavioral task was the least predictive. This work suggests that researchers may not be using optimal tools to measure socio-emotional skills in children.

Inhibitory Control Across Athletic Expertise and Its Relationship With Sport Performance

Inhibitory control may be vital in elite sport. The authors examined the link between athletic expertise, inhibitory control, and sport performance in a two-part quasi experiment. Inhibitory control was indexed using the Stop-Signal Task, athlete expertise was categorized on literary recommendations, and sport performance was assessed using athlete and coach ratings. Study 1 examined cross-sectional and longitudinal patterns of inhibitory control across athletic expertise. Study 2 investigated whether the inhibitory control-sport performance relationship was moderated by expertise. Study 1 showed that expertise was linked to greater inhibitory control cross-sectionally and longitudinally. Study 2 revealed that expertise was related to superior performance on the Stop-Signal Task and athlete and coach performance ratings, and this relationship was moderated by athletic expertise. Inhibitory control relates to sport performance, increases with greater athlete expertise, and develops longitudinally. Long-term participation in sport may bring about changes in inhibitory control, which may lead to improved sport performance.

A diffusion model analysis of belief bias: Different cognitive mechanisms explain how cognitive abilities and thinking styles contribute to conflict resolution in reasoning

Recent results have challenged the widespread assumption of dual process models of belief bias that sound reasoning relies on slow, careful reflection, whereas biased reasoning is based on fast intuition. Instead, parallel process models of reasoning suggest that rule- and belief-based problem features are processed in parallel and that reasoning problems that elicit a conflict between rule- and belief-based problem features may also elicit more than one Type 1 response. This has important implications for individual-differences research on reasoning, because rule-based responses by certain individuals may reflect that these individuals were either more likely to give a rule-based default response or that they successfully inhibited and overrode a belief-based default response. In two studies, we used the diffusion model to describe decision making in a transitive reasoning task. In Study 1, 41 participants were asked to evaluate conclusions based on their validity. In Study 2, 133 participants evaluated conclusions based on their validity or believability. We tested which diffusion model parameters reflected conflict resolution and related those model parameters to individual differences in cognitive abilities and thinking styles. Individual differences in need for cognition predicted successful conflict resolution under logic instruction, which suggests that a disposition to engage in reflective thinking facilitates the inhibition and override of Type 1 responses. Intelligence, however, was negatively related to successful conflict resolution under belief instruction, which suggests that individuals with high cognitive abilities quickly generated a higher-level logical response that interfered with their ability to evaluate lower-level intrinsic problem features. Taken together, this double dissociation indicates that cognitive abilities and thinking styles affect the processing of conflict information through different mechanisms and at different stages: Greater cognitive abilities facilitate the efficient creation of decoupled problem representations, whereas a greater disposition to engage in critical thinking facilitates the detection and override of Type 1 responses.

Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study

Background

Inhibitory control, or inhibition, is one of the core executive functions of humans. It contributes to our attention, performance, and physical and mental well-being. Our inhibitory control is modulated by various factors and therefore fluctuates over time. Being able to continuously and unobtrusively assess our inhibitory control and understand the mediating factors may allow us to design intelligent systems that help manage our inhibitory control and ultimately our well-being.

Objective

The aim of this study is to investigate whether we can assess individuals’ inhibitory control using an unobtrusive and scalable approach to identify digital markers that are predictive of changes in inhibitory control.

Methods

We developed InhibiSense, an app that passively collects the following information: users’ behaviors based on their phone use and sensor data, the ground truths of their inhibition control measured with stop-signal tasks (SSTs) and ecological momentary assessments (EMAs), and heart rate information transmitted from a wearable heart rate monitor (Polar H10). We conducted a 4-week in-the-wild study, where participants were asked to install InhibiSense on their phone and wear a Polar H10. We used generalized estimating equation (GEE) and gradient boosting tree models fitted with features extracted from participants’ phone use and sensor data to predict their stop-signal reaction time (SSRT), an objective metric used to measure an individual’s inhibitory control, and identify the predictive digital markers.

Results

A total of 12 participants completed the study, and 2189 EMAs and SST responses were collected. The results from the GEE models suggest that the top digital markers positively associated with an individual’s SSRT include phone use burstiness (P=.005), the mean duration between 2 consecutive phone use sessions (P=.02), the change rate of battery level when the phone was not charged (P=.04), and the frequency of incoming calls (P=.03). The top digital markers negatively associated with SSRT include the standard deviation of acceleration (P<.001), the frequency of short phone use sessions (P<.001), the mean duration of incoming calls (P<.001), the mean decibel level of ambient noise (P=.007), and the percentage of time in which the phone was connected to the internet through a mobile network (P=.001). No significant correlation between the participants’ objective and subjective measurement of inhibitory control was found.

Conclusions

We identified phone-based digital markers that were predictive of changes in inhibitory control and how they were positively or negatively associated with a person’s inhibitory control. The results of this study corroborate the findings of previous studies, which suggest that inhibitory control can be assessed continuously and unobtrusively in the wild. We discussed some potential applications of the system and how technological interventions can be designed to help manage inhibitory control.

Chronic stress, executive functioning, and real-life self-control: An experience sampling study

OBJECTIVE

To test the hypothesis that chronic stress impairs the use of cognitive control for self-control, we examined how chronic stress affects the relation between individual differences in general executive functioning (GEF) and self-control in real-life situations.

METHOD

About 338 young adults with varying degrees of chronic stress underwent experience sampling of real-life self-control for 7 days and completed a battery of nine executive function tasks from which a latent variable representing individual differences in GEF was derived.

RESULTS

Structural equation models showed that higher levels of chronic stress were associated with stronger desires and a less negative relationship between GEF and desire strength. Chronic stress and GEF did not predict desire enactment in situations where effortful resistance was attempted.

CONCLUSIONS

These findings suggest that chronic stress may impair self-control by reducing the use of cognitive control for "early" desire regulation strategies while leaving "late" resistance strategies unaffected. That relationships between executive functioning and real-life self-control can be moderated by third factors such as chronic stress may to some extent explain the common finding of weak or missing associations between laboratory measures of executive functioning and real-life self-control.

Incremental Validity of Online Over Offline Reports of Volitional Control in Predicting Learning Success

Abstract. Volitional control (i. e., efforts to maintain goal striving in the face of obstacles) is an integral part of self-regulated learning and an important factor for explaining individual differences in academic performance. However, differences between the various methods for assessing volitional control have rarely been investigated. Two common methods are (a) offline questionnaires, in which respondents aggregate experiences over a longer period of time, and (b) online questionnaires such as learning diaries, which assess respondents’ experiences close to the learning event. We compared these assessment approaches in 96 medical students who prepared for a high-stakes exam. Achievement of self-set learning goals was measured objectively via logfiles of students’ activities on a learning platform. Daily reports of volitional control explained substantial variance in the achievement of learning goals over and above the offline questionnaire, indicating incremental validity of online assessments of self-regulation. Moreover, the daily reports of volitional control could explain intra-individual day-to-day variance in goal achievement. The current study, thus, suggests that learning diaries, albeit cumbersome, have clear advantages over offline questionnaires.