More than meets the gut: a prototype analysis of the lay conceptions of intuition and analysis.

Using a prototype approach, we assessed people's lay conceptions of intuition and analysis. Open-ended descriptions of intuition and analysis were generated by participants (Study 1) and resulting exemplars were sorted into features subsequently rated in centrality by independent participants (Study 2). Feature centrality was validated by showing that participants were quicker and more accurate in classifying central (as compared to peripheral) features (Study 3). Centrality ratings suggested a single-factor structure describing analysis but revealed that participants held lay conceptions of intuition as involving two different types of processes: (1) as an automatic, affective, and non-logical processing, and (2) as a holistic processing that can assist in problem-solving. Additional analyses showed that the centrality ratings of intuition's facets were predicted by participants' self-reported intuitive style, suggesting intuition is differently perceived by intuitive and non-intuitive people. We discuss the implications of these results for the study of intuition and analysis.

The independent effects of source expertise and trustworthiness on retraction believability: The moderating role of vested interest.

Past research suggests that the trustworthiness of a source issuing a retraction of misinformation impacts retraction effectiveness, whereas source expertise does not. However, this prior research largely used expert sources who had a vested interest in issuing the retraction, which might have reduced the impact of those expert sources. We predicted that source expertise can impact a retraction's believability independent of trustworthiness, but that this is most likely when the source does not have a vested interest in issuing a retraction. Study 1 demonstrated that retractions from an expert source are believed more and lead to less continued belief in misinformation than retractions from an inexpert source while controlling for perceptions of trustworthiness. Additionally, Study 1 demonstrated that this only occurs when the source had no vested interest in issuing the retraction. Study 2 found similar effects using a design containing manipulations of both expertise and trustworthiness. These results suggest that source expertise can impact retraction effectiveness and that vested interest is a variable that is critical to consider when determining when this will occur.

Mechanisms in continued influence: The impact of misinformation corrections on source perceptions.

Research on the continued influence effect (CIE) of misinformation has demonstrated that misinformation continues to influence people's beliefs and judgments even after it has been corrected. Although most theorizing about the CIE attempts to explain why corrections do not eliminate belief in and influences of the misinformation, the present research takes a different approach and focuses instead on why corrections do reduce belief in misinformation (even if not entirely). We examined how a correction can change perceptions of the original source of the misinformation and how these changes in perceptions can mediate continued influence effects. We also examined causal evidence linking manipulations of misinformation source perceptions to continued belief and misinformation-relevant inferential reasoning. Study 1 demonstrated that an external correction (i.e., a new source labeling misinformation as false) influences perceptions of the misinformation source, and these perceptions of the misinformation source then correlated with belief in the misinformation. Study 2 replicated the results of Study 1 and used source derogation to manipulate misinformation source perceptions and further lessen continued belief. Study 3 was a preregistered replication of previous results using new methodology. These studies suggest that perceptions of the misinformation source is one mechanism that can cause changes in belief in misinformation, and changes in the perception of a source can be achieved simply by correcting the source or through other means. This approach can be used to find other mechanisms responsible for reducing belief in misinformation.

How research on persuasion can inform dual-process models of judgment.

De Neys makes some useful points regarding dual-process models, but his critique ignores highly relevant theories of judgment from the persuasion literature. These persuasion models predate and often circumvent many of the criticisms he makes of the dual-process approaches he covers. Furthermore, the persuasion models anticipated some of the correctives to dual-process models that he proposes.

The role of discomfort in the continued influence effect of misinformation.

Research examining the continued influence effect (CIE) of misinformation has reliably found that belief in misinformation persists even after the misinformation has been retracted. However, much remains to be learned about the psychological mechanisms responsible for this phenomenon. Most theorizing in this domain has focused on cognitive mechanisms. Yet some proposed cognitive explanations provide reason to believe that motivational mechanisms might also play a role. The present research tested the prediction that retractions of misinformation produce feelings of psychological discomfort that motivate one to disregard the retraction to reduce this discomfort. Studies 1 and 2 found that retractions of misinformation elicit psychological discomfort, and this discomfort predicts continued belief in and use of misinformation. Study 3 showed that the relations between discomfort and continued belief in and use of misinformation are causal in nature by manipulating how participants appraised the meaning of discomfort. These findings suggest that discomfort could play a key mechanistic role in the CIE, and that changing how people interpret this discomfort can make retractions more effective at reducing continued belief in misinformation.

Perceived stress linking psychosocial factors and depressive symptoms in low-income mothers.

BACKGROUND: Little is known about associations between perceived stress, psychosocial factors (social support, emotional coping, coping self-efficacy, and autonomous motivation), and depressive symptoms in low-income overweight or obese mothers of young children. Using baseline data of a lifestyle intervention study, this secondary analysis investigates whether perceived stress might mediate the associations between the psychosocial factors and depressive symptoms. METHODS: Convenience sampling was applied. Low-income overweight or obese mothers of young children were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children in Michigan, US. Survey data were collected through phone interviews. Participants (N = 740) responded to valid surveys measuring perceived stress, social support, emotional coping, coping self-efficacy, autonomous motivation, and depressive symptoms. Composite indicator structural equation modeling was performed to test for potential mediation. RESULTS: When investigating the potential role of perceived stress as a mediator, the indirect effects of social support (b = - 2.10, p < 0.01), emotion coping (b = - 3.81, p < 0.05), and coping self-efficacy (b = - 7.53, p < 0.01) on depressive symptoms through perceived stress were significant, but the indirect effect of autonomous motivation was not. CONCLUSION: Future intervention studies aiming to alleviate depressive symptoms in low-income overweight or obese mothers of young children might consider including practical strategies to promote social support, emotional coping, and coping self-efficacy to reduce perceived stress, which might potentially decrease depressive symptoms. TRIAL REGISTRATION: Clinical Trials NCT01839708 ; registered February 28, 2013.

Lay concepts of source likeability, trustworthiness, expertise, and power: A prototype analysis.

Previous research on persuasion has used researcher-generated exemplars to manipulate source characteristics such as likeability, trustworthiness, expertise, or power. This approach has been fruitful, but it relies to some degree on an overlap between researcher understanding of these variables and lay understanding of these variables. Additionally, these exemplar manipulations may have unintentionally affected multiple characteristics and may be limited to certain topics or time periods. In the current work, we sought to provide persuasion researchers with a methodological tool to increase construct and potentially external validity by conducting a prototype analysis of the four traditional source characteristics: likeability, trustworthiness, expertise, and power. This bottom-up approach provided insight into the ways in which recipients perceive sources and allowed us to examine relations between the characteristics. Moving forward, a bottom-up understanding of source characteristics will allow researchers to more effectively develop manipulations that might transcend time and topic as well as isolate their effects to the intended source characteristic.

A Validity-Based Framework for Understanding Replication in Psychology.

In recent years, psychology has wrestled with the broader implications of disappointing rates of replication of previously demonstrated effects. This article proposes that many aspects of this pattern of results can be understood within the classic framework of four proposed forms of validity: statistical conclusion validity, internal validity, construct validity, and external validity. The article explains the conceptual logic for how differences in each type of validity across an original study and a subsequent replication attempt can lead to replication "failure." Existing themes in the replication literature related to each type of validity are also highlighted. Furthermore, empirical evidence is considered for the role of each type of validity in non-replication. The article concludes with a discussion of broader implications of this classic validity framework for improving replication rates in psychological research.

Mediators of intervention effects on dietary fat intake in low-income overweight or obese women with young children.

PURPOSE: We investigated whether autonomous motivation and self-efficacy might mediate the association between a lifestyle behavior intervention and dietary fat intake in low-income overweight or obese women with young children. METHODS: Participants were randomized to an intervention or comparison group. Intervention participants received a 16-week intervention aimed to prevent weight gain through promotion of stress management, healthy eating and physical activity. During the intervention phase, participants viewed a designated video lesson at home and dialed in a peer support group teleconference every week (weeks 1-4) then every other week (weeks 5-16). Potential mediation effects were analyzed using sequential mixed-effects linear models and path analysis. RESULTS: The intervention led to increased autonomous motivation (ß = 0.34, standard error [SE] = 0.15, P = 0.005), which subsequently increased self-efficacy (ß = 0.18, SE = 0.35, P < 0.001), and higher levels of self-efficacy were associated with decreased dietary fat intake (ß = -0.22, SE = 0.28, P < 0.001). In other words, autonomous motivation and self-efficacy mediated the association between the lifestyle behavior intervention and dietary fat intake. CONCLUSION: To decrease dietary fat intake for low-income overweight or obese women with young children, strategies, such as those promoting peer encouragement, may be warranted in interventions to enhance autonomous motivation and/or practical skills for increasing self-efficacy.

Mediation by self-efficacy in the relation between social support and dietary intake in low-income postpartum women who were overweight or obese.

PURPOSE: Using baseline data from a prevention of weight gain intervention study, we investigated whether self-efficacy mediated the relations between social support and dietary intake of saturated fat, fast food, fruit and vegetable in low-income postpartum women who were overweight or obese. METHODS: Participants (N = 740) completed validated measures of self-reported social support, self-efficacy, and dietary intake of saturated fat, fast food, fruit and vegetable. We performed composite indicator structural equation modeling to test the mediation effect. Effect size was calculated using proportion of maximum possible (POMP) scores in the endogenous variables (e.g., fast food) per unit change in the exogenous variable. RESULTS: When including the influence of self-efficacy as a mediator, social support indirectly influenced dietary intake of saturated fat (p ≤ 0.001, POMP = -0.77%), fast food (p ≤ 0.001, POMP = -0.28%), and fruit and vegetable (p ≤ 0.001, POMP = 0.53%). Thus, these data are consistent with self-efficacy mediating the relations between social support and dietary intake of saturated fat, fast food, fruit and vegetable in low-income postpartum women who were overweight or obese. CONCLUSION: Dietary interventions aiming to decrease saturated fat and fast food intake and increase fruit and vegetable intake for the target population may consider including practical skills for increasing social support and self-efficacy that can be implemented in daily life.

Holding replication studies to mainstream standards of evidence.

Replications can make theoretical contributions, but are unlikely to do so if their findings are open to multiple interpretations (especially violations of psychometric invariance). Thus, just as studies demonstrating novel effects are often expected to empirically evaluate competing explanations, replications should be held to similar standards. Unfortunately, this is rarely done, thereby undermining the value of replication research.

Modeling the transmission of community-associated methicillin-resistant Staphylococcus aureus: a dynamic agent-based simulation.

BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) has been a deadly pathogen in healthcare settings since the 1960s, but MRSA epidemiology changed since 1990 with new genetically distinct strain types circulating among previously healthy people outside healthcare settings. Community-associated (CA) MRSA strains primarily cause skin and soft tissue infections, but may also cause life-threatening invasive infections. First seen in Australia and the U.S., it is a growing problem around the world. The U.S. has had the most widespread CA-MRSA epidemic, with strain type USA300 causing the great majority of infections. Individuals with either asymptomatic colonization or infection may transmit CA-MRSA to others, largely by skin-to-skin contact. Control measures have focused on hospital transmission. Limited public health education has focused on care for skin infections. METHODS: We developed a fine-grained agent-based model for Chicago to identify where to target interventions to reduce CA-MRSA transmission. An agent-based model allows us to represent heterogeneity in population behavior, locations and contact patterns that are highly relevant for CA-MRSA transmission and control. Drawing on nationally representative survey data, the model represents variation in sociodemographics, locations, behaviors, and physical contact patterns. Transmission probabilities are based on a comprehensive literature review. RESULTS: Over multiple 10-year runs with one-hour ticks, our model generates temporal and geographic trends in CA-MRSA incidence similar to Chicago from 2001 to 2010. On average, a majority of transmission events occurred in households, and colonized rather than infected agents were the source of the great majority (over 95%) of transmission events. The key findings are that infected people are not the primary source of spread. Rather, the far greater number of colonized individuals must be targeted to reduce transmission. CONCLUSIONS: Our findings suggest that current paradigms in MRSA control in the United States cannot be very effective in reducing the incidence of CA-MRSA infections. Furthermore, the control measures that have focused on hospitals are unlikely to have much population-wide impact on CA-MRSA rates. New strategies need to be developed, as the incidence of CA-MRSA is likely to continue to grow around the world.

Uncertainty limits the use of power analysis.

The calculation of statistical power has been taken up as a simple yet informative tool to assist in designing an experiment, particularly in justifying sample size. A difficulty with using power for this purpose is that the classical power formula does not incorporate sources of uncertainty (e.g., sampling variability) that can impact the computed power value, leading to a false sense of precision and confidence in design choices. We use simulations to demonstrate the consequences of adding two common sources of uncertainty to the calculation of power. Sampling variability in the estimated effect size (Cohen's d) can introduce a large amount of uncertainty (e.g., sometimes producing rather flat distributions) in power and sample-size determination. The addition of random fluctuations in the population effect size can cause values of its estimates to take on a sign opposite the population value, making calculated power values meaningless. These results suggest that calculated power values or use of such values to justify sample size add little to planning a study. As a result, researchers should put little confidence in power-based choices when planning future studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effects of Message-Sidedness on Perceived Source Bias: When Presenting Two Sides Does Versus Does Not Alleviate Concerns About Bias.

Communicators commonly present two-sided messages to avoid being perceived as biased. This approach equates bias with one-sidedness rather than divergence from the position supported by available data. Messages often concern topics with mixed qualities: a product is exceptional but expensive; a politician is inexperienced but ethical. For these topics, providing a two-sided message should reduce perceived bias according to both views of bias as one-sidedness and divergence from available data. However, if perceived bias follows divergence from available data, for topics viewed as one-sided (univalent), a two-sided message should not reduce perceived bias. Across five studies, acknowledging two sides reduced perceived bias for novel topics. In two of the studies, two-sidedness no longer reduced perceived bias for topics viewed as univalent. This work clarifies that people conceptualize bias as a divergence from available data, not simply one-sidedness. It also clarifies when and how to leverage message-sidedness to reduce perceived bias.

Belief-consistent information is most shared despite being the least surprising.

In the classical information theoretic framework, information "value" is proportional to how novel/surprising the information is. Recent work building on such notions claimed that false news spreads faster than truth online because false news is more novel and therefore surprising. However, another determinant of surprise, semantic meaning (e.g., information's consistency or inconsistency with prior beliefs), should also influence value and sharing. Examining sharing behavior on Twitter, we observed separate relations of novelty and belief consistency with sharing. Though surprise could not be assessed in those studies, belief consistency should relate to less surprise, suggesting the relevance of semantic meaning beyond novelty. In two controlled experiments, belief-consistent (vs. belief-inconsistent) information was shared more despite consistent information being the least surprising. Manipulated novelty did not predict sharing or surprise. Thus, classical information theoretic predictions regarding perceived value and sharing would benefit from considering semantic meaning in contexts where people hold pre-existing beliefs.

How Attitudes Impact the Continued Influence Effect of Misinformation: The Mediating Role of Discomfort.

Past research suggests that people continue believing retracted misinformation more when it is consistent versus inconsistent with their attitudes. However, the psychological mechanism responsible for this phenomenon remains unclear. We predicted that retractions of attitude-consistent misinformation produce greater feelings of discomfort than retractions of attitude-inconsistent misinformation and that this discomfort predicts continued belief in and use of the misinformation. We report combined analyses across 10 studies testing these predictions. Seven studies (total N = 1,323) used a mediational framework and found that the more consistent misinformation was with participants' attitudes, the more discomfort was elicited by a retraction of the misinformation. Greater discomfort then predicted greater continued belief in the misinformation, which, in turn, predicted greater use of the misinformation when participants made relevant inferences. Three additional studies (total N = 574) utilized misattribution paradigms to demonstrate that the relation between discomfort and belief in misinformation is causal in nature.

A Pilot Goal-Oriented Episodic Future Thinking Weight Loss Intervention for Low-Income Overweight or Obese Young Mothers.

BACKGROUND: Episodic future thinking (EFT) has shown efficacy in laboratory settings. We conducted a pilot goal-oriented EFT (GoEFT) intervention in a real-world setting to help low-income overweight or obese mothers lose weight. This paper presents intervention acceptability and efficacy. METHODS: The study used a single-group, before-after design. During the 3-week intervention, participants (N = 15) completed weekly web-based lessons and online health coaching sessions to manage stress and emotion, eat healthier, and be more physically active. Participants completed online surveys at baseline and immediately after the intervention. They also completed an interview to evaluate intervention acceptability. We applied paired t-tests to evaluate efficacy and used content analysis to discover interview themes. RESULTS: Participants consistently identified the intervention as acceptable, noting the usefulness of pre-written goals, GoEFT strategies, and goal progress evaluations. The intervention effectively promoted weight loss (d = -0.69), fruit and vegetable intake (d = 0.45-0.49), and emotion control (d = 0.71). It also reduced fat (d = -0.51) and added sugar intake (d = -0.48) and alleviated stress (d = -0.52). Moreover, the intervention increased autonomous motivation (d = 0.75-0.88) and self-efficacy (d = 0.46-0.61). CONCLUSION: The GoEFT intervention was acceptable to participants, showing strong preliminary efficacy.

Psychosocial Factors Associated With Physical Activity Among Low-Income Overweight or Obese Mothers with Young Children.

PURPOSE: Investigate the associations between psychosocial factors and physical activity. DESIGN: Secondary data analysis utilizing baseline data of a large-scale community-based randomized controlled lifestyle behavior intervention. SETTING: The Special Supplemental Program for Women, Infants, and Children in Michigan, USA. SUBJECTS: Low-income overweight or obese mothers with young children (N = 740, 65% response rate). MEASURES: Survey data were collected via phone interview. Predictors included self-efficacy, autonomous motivation, emotional coping, and social support. Self-reported leisure physical activity was the outcome variable. Covariates were age, race, smoking, employment, education, body mass index, and postpartum status. ANALYSIS: A multiple linear regression model was applied. RESULTS: Self-efficacy (ß = .32, 95% CI = .11, .52, P = .003) and autonomous motivation (ß = .10, 95% CI = .03, .17, P = .005) were positively associated with physical activity. However, emotional coping and social support were not associated with physical activity. CONCLUSION: Future research should examine the longitudinal association of key psychosocial factors with physical activity.

Pilot Lifestyle Intervention Effect on Lifestyle Behaviors, Psychosocial Factors, and Affect.

Background: This paper presents results of a pilot intervention effect on lifestyle behaviors, psychosocial factors, and affect among overweight or obese pregnant women. Methods: 70 participants were randomized to the intervention or usual care group. During the 20-week intervention, participants completed a weekly online intervention module and joined individual online health coaching. Data were collected at baseline (<17 weeks gestation), 24-27 weeks gestation (T2), and 35-37 weeks gestation (T3). Lifestyle behaviors included dietary intake (caloric, fat, added sugar, fruit, and vegetable) and physical activity (PA). Psychosocial factors were autonomous motivation, self-efficacy, executive functions, and consideration of future consequences (CFC). Affect comprised stress and emotional control. Two-sample t-tests and Cohen's d effect sizes were used to compare between group mean differences in the change from baseline to T2 and T3. Results: At T2, intervention positively influenced fruit intake (d = 0.47), autonomous motivation for healthy eating (d = 0.36), self-efficacy for healthy eating (d = 0.25) and PA (d = 0.24), executive functions (behavior regulation, d = -0.21; metacognition, d = -0.69), and emotional control (d = 0.79). At T3, the intervention improved PA (d = 0.19), autonomous motivation for healthy eating (d = 0.33), self-efficacy for healthy eating (d = 0.50) and stress management (d = 0.62), executive functions (metacognition, d = -0.46), CFC (d = 0.25), stress (d = -0.45), and emotional control (d = 0.72). Conclusion: The pilot intervention has positive effects on most psychosocial variables and affect in both the short and long terms.