•Neuroticism is associated with higher risk of mortality.•Extraversion, agreeableness, conscientiousness are associated with lower mortality.•Smoking has a small mediating effect on the ...neuroticism-mortality association.•These effects are consistent across 15 long term longitudinal studies.•Baseline age and country-of-origin partially explain heterogeneity in effects.
This study examined the Big Five personality traits as predictors of mortality risk, and smoking as a mediator of that association. Replication was built into the fabric of our design: we used a Coordinated Analysis with 15 international datasets, representing 44,094 participants. We found that high neuroticism and low conscientiousness, extraversion, and agreeableness were consistent predictors of mortality across studies. Smoking had a small mediating effect for neuroticism. Country and baseline age explained variation in effects: studies with older baseline age showed a pattern of protective effects (HR<1.00) for openness, and U.S. studies showed a pattern of protective effects for extraversion. This study demonstrated coordinated analysis as a powerful approach to enhance replicability and reproducibility, especially for aging-related longitudinal research.
This study contributes to the literature on assessment centre (AC) measurement structure by evaluating whether dimension, exercise or mixed‐model theoretical perspectives are supported by reliability ...outcomes. In a large‐scale study (Ncandidates = 2917) utilizing Bayesian generalizability theory, we tested reliability estimates configured to conform to dimension, exercise or mixed‐model perspectives. Our findings reveal that reliability outcomes for AC ratings greatly depend on the measurement intentions of the researcher. When this intent aligned with the traditional dimension perspective, we found evidence that reliability was unacceptably low (mean reliability = .38, SD = .15). However, when the intent aligned with the exercise perspective, we found evidence that reliability exceeded acceptable criteria (mean reliability = .91, SD = .09). The addition of dimension‐ to exercise‐related effects to reflect a mixed‐model perspective did not make an appreciable difference to reliability.
Bauer (2023) lays out a strong argument that just as psychological scientists are having a reckoning over the replicability of our research, it is equally imperative that the field recognizes our ...long-standing problems with regard to generalizability. We agree with this assessment and highlight additional examples of research areas where these issues seem especially important with respect to application. We offer some thoughts about how the culture of research in psychology, including our collective tendency to minimize generalizability transparency, has maintained and compounded the problem. We make suggestions for a path forward that calls upon us to live up to the highest ideals of external validity.
The growing literature conceptualizing mental disorders like posttraumatic stress disorder (PTSD) as networks of interacting symptoms faces three key challenges. Prior studies predominantly used (a) ...small samples with low power for precise estimation, (b) nonclinical samples, and (c) single samples. This renders network structures in clinical data, and the extent to which networks replicate across data sets, unknown. To overcome these limitations, the present cross-cultural multisite study estimated regularized partial correlation networks of 16 PTSD symptoms across four data sets of traumatized patients receiving treatment for PTSD (total N = 2,782). Despite differences in culture, trauma type, and severity of the samples, considerable similarities emerged, with moderate to high correlations between symptom profiles (0.43–0.82), network structures (0.62–0.74), and centrality estimates (0.63–0.75). We discuss the importance of future replicability efforts to improve clinical psychological science and provide code, model output, and correlation matrices to make the results of this article fully reproducible.
With a growing body of relationship research relying on dyadic data (i.e., in which both members of a couple are participants), researchers have raised questions about whether such samples are ...representative of the population or unique in important ways. In this research, we used two large data sets (Study 1: n = 5,118; Study 2: n = 5,194) that included participants with and without a romantic partner participating to examine if co-participation status has substantive relationship implications. Results showed that co-participation status predicted breakup even after controlling for other known predictors such as satisfaction, although the effect weakened over time (Study 2). There was also tentative evidence that factors such as conflict may be differentially related to breakup among couples in which one versus both partners participated. These findings raise caution in interpreting effects found in dyadic studies and highlight the need to be mindful of potential bias in recruitment.
Increasingly, the statistical and epidemiologic literature is focusing beyond issues of internal validity and turning its attention to questions of external validity. Here, we discuss some of the ...challenges of transporting a causal effect from a randomized trial to a specific target population. We present an inverse odds weighting approach that can easily operationalize transportability. We derive these weights in closed form and illustrate their use with a simple numerical example. We discuss how the conditions required for the identification of internally valid causal effects are translated to apply to the identification of externally valid causal effects. Estimating effects in target populations is an important goal, especially for policy or clinical decisions. Researchers and policy-makers should therefore consider use of statistical techniques such as inverse odds of sampling weights, which under careful assumptions can transport effect estimates from study samples to target populations.
Social-science researchers have increasingly moved from conducting their studies in a face-to-face format to an online format. Although new and innovative remote platforms afford researchers ...generalizability and scale, many of these platforms also tend to solicit socially desirable responses. This pattern of socially desirable responding is evident in examinations of racial discrimination, in which participants are particularly determined to present themselves as ethical and moral. In the current article, we rectify the concern between remote platforms and inauthentic participant responses by reviewing unobtrusive measures of racial discrimination. First, we conceptualize unobtrusive measures as measurements that assess a participant’s discriminatory action without the participant’s knowledge that the specific discriminatory action is under observation. Next, we review the landscape of unobtrusive studies conducted within three broad categories—audit, helping, and friendly interaction—and discuss how these measures have changed over time. Finally, we discuss how to adapt classic face-to-face measures to remote platforms and provide recommendations for implementing unobtrusive measures into remote examinations of discrimination.
•Educational neuroscience samples have historically been homogenous.•This promotes inaccurate conclusions which may affect teaching practices and policy.•Aspects of the research process and attitudes ...towards research can impede diversity.•Addressing these factors fosters neuroscience work with equitable learning benefits.
Educational neuroscience research, which investigates the neurobiological mechanisms of learning, has historically incorporated samples drawn mostly from white, middle-class, and/or suburban populations. However, sampling in research without attending to representation can lead to biased interpretations and results that are less generalizable to an intended target population. Prior research revealing differences in neurocognitive outcomes both within- and across-groups further suggests that such practices may obscure significant effects with practical implications.
Negative attitudes among historically marginalized communities, stemming from historical mistreatment, biased research outcomes, and implicit or explicit attitudes among research teams, can hinder diverse participation. Qualities of the research process including language requirements, study locations, and time demands create additional barriers.
Flexible data collection approaches, community engaugement, and transparent reporting could build trust and enhance sampling diversity. Longer-term solutions include prioritizing research questions relevant to marginalized communities, increasing workforce diversity, and detailed reporting of sample demographics. Such concerted efforts are essential for robust educational neuroscience research to maximize positive impacts broadly across learners.
The marketing literature is replete with the repeated use of traditional theories of behaviour, such as ‘the consumer decision model,’ the ‘theory of buyer behaviour,’ the ‘theory of reasoned ...action,’ the ‘theory of planned behaviour,’ and ‘the model of goal-directed behaviour.’ The conclusions and criticisms that are drawn from these theories stem from the many ways in which these theories are applied, which reduces the efficiency of these approaches in the sense of predictability and generalizability across different cultures. Moreover, these theories have minimal influence on autonomously motivated behaviours. Despite these limitations, marketing scientists have overwhelmingly applied these theories to predict consumer intention and behaviour. However, theories that are actually capable of explaining consumers' motivations have been surprisingly ignored in the marketing literature; for instance, ‘self-determination theory’ (SDT) is a leading theory of human motivation that has been proven effective at identifying the contingencies that affect motivation and behaviour. Therefore, the goal is to review the marketing research in which SDT is used. To this end, we review all empirical studies published on the subject over a 20-year period. Several clusters of research are identified in which SDT appears to be more promising in addressing marketing problems. Finally, we provide directions for future research in greater detail.
Objective: Strengthening of antivaccination movements in recent decades has coincided with unprecedented increases in the incidence of some communicable diseases. Many intervention programs work from ...a deficit model of science communication, presuming that vaccination skeptics lack the ability to access or understand evidence. However, interventions focusing on evidence and the debunking of vaccine-related myths have proven to be either nonproductive or counterproductive. Working from a motivated reasoning perspective, we examine the psychological factors that might motivate people to reject scientific consensus around vaccination. To assist with international generalizability, we examine this question in 24 countries. Methods: We sampled 5,323 participants in 24 countries, and measured their antivaccination attitudes. We also measured their belief in conspiracy theories, reactance (the tendency for people to have a low tolerance for impingements on their freedoms), disgust sensitivity toward blood and needles, and individualistic/hierarchical worldviews (i.e., people's beliefs about how much control society should have over individuals, and whether hierarchies are desirable). Results: In order of magnitude, antivaccination attitudes were highest among those who (a) were high in conspiratorial thinking, (b) were high in reactance, (c) reported high levels of disgust toward blood and needles, and (d) had strong individualistic/hierarchical worldviews. In contrast, demographic variables (including education) accounted for nonsignificant or trivial levels of variance. Conclusions: These data help identify the "attitude roots" that may motivate and sustain vaccine skepticism. In so doing, they help shed light on why repetition of evidence can be nonproductive, and suggest communication solutions to that problem.
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