Mentalizing in and out of awareness: A meta-analytic review of implicit and explicit mentalizing.

BACKGROUND: Mentalizing, making sense of mental states, is hypothesized to have a central role in self-organization and social learning. Findings support this notion, but the extent of the association between mentalizing and various correlates has not been meta-analyzed. Furthermore, mentalizing presumably occurs with (explicit) and without (implicit) awareness but few studies have attempted to disentangle these aspects. We conducted a meta-analysis of implicit and explicit mentalizing in relation to the domains of attachment security, personality, affect, psychopathology, and functioning. METHODS: We searched for studies of adult mentalizing in PsycINFO and in related reviews. Overall, 511 studies (N = 78,733) met criteria and were analyzed using multi-level meta-analysis. RESULTS: Implicit (r = 0.19-0.29) and explicit (r = 0.26-0.40) mentalizing were moderately correlated with psychopathology, functioning, personality, affect, and attachment security. The correlations of implicit mentalizing were stronger with more objectively measured correlates (b = 0.02, p < .001) while the correlations of explicit mentalizing were not (b = -0.07, p = .21). CONCLUSIONS: Mentalizing is associated with better intra- and interpersonal functioning. Implicit mentalizing is more strongly associated with objectively measured correlates. These findings underscore the importance of an integrative approach considering both implicit and explicit mentalizing.

Bias, Fairness, and Validity in Graduate-School Admissions: A Psychometric Perspective.

As many schools and departments are considering the removal of the Graduate Record Examination (GRE) from their graduate-school admission processes to enhance equity and diversity in higher education, controversies arise. From a psychometric perspective, we see a critical need for clarifying the meanings of measurement "bias" and "fairness" to create common ground for constructive discussions within the field of psychology, higher education, and beyond. We critically evaluate six major sources of information that are widely used to help inform graduate-school admissions decisions: grade point average, personal statements, resumes/curriculum vitae, letters of recommendation, interviews, and GRE. We review empirical research evidence available to date on the validity, bias, and fairness issues associated with each of these admission measures and identify potential issues that have been overlooked in the literature. We conclude by suggesting several directions for practical steps to improve the current admissions decisions and highlighting areas in which future research would be beneficial.

Rejoinder to Commentaries on Woo et al. (2022).

In this rejoinder, we discuss several areas of agreement as well as some noteworthy divergence in perspectives that are worth exploring further. We also note a few areas where immediate clarifications may be necessary. Next, we discuss practical solutions and challenges for improving the validity and fairness of graduate admissions. We conclude with a call for intellectual humility and openness in further advancing the field's discussions on this critical topic as well as for authenticity and persistence in effecting real changes to the system.

Assessing and interpreting interaction effects: A reply to Vancouver, Carlson, Dhanani, and Colton (2021).

Van Iddekinge et al. (2018)'s meta-analysis revealed that ability and motivation have mostly an additive rather than an interactive effect on performance. One of the methods they used to assess the ability × motivation interaction was moderated multiple regression (MMR). Vancouver et al. (2021) presented conceptual arguments that ability and motivation should interact to predict performance, as well as analytical and empirical arguments against the use of MMR to assess interaction effects. We describe problems with these arguments and show conceptually and empirically that MMR (and the ΔR and ΔR2 it yields) is an appropriate and effective method for assessing both the statistical significance and magnitude of interaction effects. Nevertheless, we also applied the alternative approach Vancouver et al. recommended to test for interactions to primary data sets (k = 69) from Van Iddekinge et al. These new results showed that the ability × motivation interaction was not significant in 90% of the analyses, which corroborated Van Iddekinge et al.'s original conclusion that the interaction rarely increments the prediction of performance beyond the additive effects of ability and motivation. In short, Van Iddekinge et al.'s conclusions remain unchanged and, given the conceptual and empirical problems we identified, we cannot endorse Vancouver et al.'s recommendation to change how researchers test interactions. We conclude by offering suggestions for how to assess and interpret interactions in future research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

A Test of Basic Psychological Needs Theory in a Physical-Activity-Based Program for Underserved Youth.

This study used a randomized controlled design to test the pathways in basic psychological needs theory, where social relationships characterized by autonomy support, involvement, and structure foster psychological need satisfaction and well-being. Participants were recruited from a physical-activity-based youth program. A new staff training was implemented to manipulate the use of each interpersonal characteristic by program staff (N = 24 observed) and perceptions of each interpersonal characteristic, psychological needs, hope, and self-worth in youth (N = 379 surveyed pre- and postprogram). Staff in the intervention condition used greater overall observed autonomy support, involvement, and structure. Condition assignment did not lead to differences in youth perceptions, but observed staff behaviors positively predicted youth perceptions of staff and perceptions of staff positively predicted change in well-being. Findings indicate that the training manipulated how staff engaged youth, and autonomy support, involvement, and structure are useful strategies to foster well-being in youth.

Graphical Descriptives: A Way to Improve Data Transparency and Methodological Rigor in Psychology.

Several calls have recently been issued to the social sciences for enhanced transparency of research processes and enhanced rigor in the methodological treatment of data and data analytics. We propose the use of graphical descriptives (GDs) as one mechanism for responding to both of these calls. GDs provide a way to visually examine data. They serve as quick and efficient tools for checking data distributions, variable relations, and the potential appropriateness of different statistical analyses (e.g., do data meet the minimum assumptions for a particular analytic method). Consequently, we believe that GDs can promote increased transparency in the journal review process, encourage best practices for data analysis, and promote a more inductive approach to understanding psychological data. We illustrate the value of potentially including GDs as a step in the peer-review process and provide a user-friendly online resource (www.graphicaldescriptives.org) for researchers interested in including data visualizations in their research. We conclude with suggestions on how GDs can be expanded and developed to enhance transparency.

Effects of cognitive load on neural and behavioral responses to smoking-cue distractors.

Smoking cessation failures are frequently thought to reflect poor top-down regulatory control over behavior. Previous studies have suggested that smoking cues occupy limited working memory resources, an effect that may contribute to difficulty achieving abstinence. Few studies have evaluated the effects of cognitive load on the ability to actively maintain information in the face of distracting smoking cues. For the present study, we adapted an fMRI probed recall task under low and high cognitive load with three distractor conditions: control, neutral images, or smoking-related images. Consistent with a limited-resource model of cue reactivity, we predicted that the performance of daily smokers (n = 17) would be most impaired when high load was paired with smoking distractors. The results demonstrated a main effect of load, with decreased accuracy under high, as compared to low, cognitive load. Surprisingly, an interaction revealed that the effect of load was weakest in the smoking cue distractor condition. Along with this behavioral effect, we observed significantly greater activation of the right inferior frontal gyrus (rIFG) in the low-load condition than in the high-load condition for trials containing smoking cue distractors. Furthermore, load-related changes in rIFG activation partially mediated the effects of load on task accuracy in the smoking-cue distractor condition. These findings are discussed in the context of prevailing cognitive and cue reactivity theories. These results suggest that high cognitive load does not necessarily make smokers more susceptible to interference from smoking-related stimuli, and that elevated load may even have a buffering effect in the presence of smoking cues under certain conditions.

Specificity matters: criterion-related validity of contextualized and facet measures of conscientiousness in predicting college student performance.

To enhance the predictive validity of self-report personality measures, 2 distinct ways of increasing specificity of personality measures have been proposed in the literature-contextual specificity (i.e., providing a contextual referent) and content specificity (i.e., focusing on more specific constructs such as the Big Five facets). This study extends this line of research by examining whether there is an optimal way to configure, align, or integrate contextual and content specificity using measures of conscientiousness to predict college student success. A sample of 478 undergraduate students completed 4 measures of conscientiousness that varied in the level of content and contextual specificity. These forms of specificity were crossed to yield 4 distinct measures of conscientiousness. We then evaluated and compared the relative importance and the incremental importance of these different measures in the prediction of academic success. Superior predictive validity was found for both contextualized and facet measures of conscientiousness compared to a measure of global conscientiousness in predicting grade-point average and a broader behavioral criterion of student performance. When contextual and content specificity approaches were compared and combined, we observed the strongest predictive validity when the level of specificity is appropriately matched between predictor and criterion.

Exploring the disruptive effects of psychopathy and aggression on group processes and group effectiveness.

The present research examines the influence of implicit and explicit personality characteristics on group process and effectiveness. Individuals from 112 groups participated in 2 problem-solving tasks and completed measures of group process and effectiveness. Results indicated that groups characterized by higher levels of psychopathy and implicit aggression tended to have more dysfunctional interactions and negative perceptions of the group. In addition, task participation and negative socioemotional behaviors fully mediated the relationship between group personality traits and group commitment and cohesion, and negative socioemotional behaviors fully mediated the relationship between group personality and performance on both tasks. Implications of antisocial traits for group interactions and performance, as well as for future theory and research, are discussed.

Adaptive memory: the mnemonic value of animacy.

Distinguishing between living (animate) and nonliving (inanimate) things is essential for survival and successful reproduction. Animacy is widely recognized as a foundational dimension, appearing early in development, but its role in remembering is currently unknown. We report two studies suggesting that animacy is a critical mnemonic dimension and is one of the most important item dimensions ultimately controlling retention. Both studies show that animate words are more likely to be recalled than inanimate words, even after the stimulus classes have been equated along other mnemonically relevant dimensions (e.g., imageability and meaningfulness). Mnemonic "tunings" for animacy are easily predicted a priori by a functional-evolutionary analysis.

Beyond step-down analysis: a new test for decomposing the importance of dependent variables in MANOVA.

Multivariate analysis of variance (MANOVA) is often categorized as a tool for experimental psychologists. However, it also continues to be a popular statistical procedure used by organizational scientists. Unfortunately, when the dependent variables (DV) are correlated with one another, interpreting the significant omnibus test in MANOVA becomes difficult. The present article proposes a novel way of interpreting a significant MANOVA that draws from work dedicated to understanding the relative importance of correlated predictors in multiple regression. Relative importance analyses are specifically designed to overcome the limitations caused by correlated variables and permit researchers to appropriately partition shared variance. We derive and extend relative weight analysis to MANOVA designs and demonstrate how these weights may be used to draw inferences concerning the relative contribution of each DV to the overall multivariate effect. Through our example, we illustrate how researchers must consider the correlations among the DVs when interpreting a significant multivariate effect, and our procedure provides an effective mechanism for doing just that.

The Relative Importance of Psychopathy-Related Traits in Predicting Impersonal Sex and Hostile Masculinity.

This paper reports the relative contributions of several facets of subclinical psychopathy (i.e., callous affect, erratic lifestyle, interpersonal manipulation), subclinical narcissism (i.e., entitlement, exploitation), and trait aggression (i.e., anger) to the prediction of four enduring attitudes towards women and sexual assault (i.e., hostility towards women, negative attitudes regarding women, sexual dominance, impersonal sex) and a behavioral indicator of an impersonal sexual behavior (i.e., number of one-night stands). Survey data were collected from 470 single men living in the Detroit Metropolitan area. The importance of personality traits varied as a function of the outcome with anger most predictive of hostility toward women; erratic lifestyle most predictive of impersonal sexual attitudes and behavior, and entitlement most predictive of sexual dominance and negative attitudes toward women. These outcome-specific findings are interpreted and directions for future research are discussed.

Development and preliminary validation of an indirect screener for drug use in the perinatal period.

AIMS: This study sought to develop and begin validation of an indirect screener for identification of drug use during pregnancy, without reliance on direct disclosure. DESIGN: Women were recruited from their hospital rooms after giving birth. Participation involved (i) completing a computerized assessment battery containing three types of items: direct (asking directly about drug use), semi-indirect (asking only about drug use prior to pregnancy) and indirect (with no mention of drug use), and (ii) providing urine and hair samples. An optimal subset of indirect items was developed and cross-validated based on ability to predict urine/hair test results. SETTING: Obstetric unit of a university-affiliated hospital in Detroit. PARTICIPANTS: Four hundred low-income, African American, post-partum women (300 in the developmental sample and 100 in the cross-validation sample); all available women were recruited without consideration of substance abuse risk or other characteristics. MEASUREMENTS: Women first completed the series of direct and indirect items using a Tablet PC; they were then asked for separate consent to obtain urine and hair samples that were tested for evidence of illicit drug use. FINDINGS: In the cross-validation sample, the brief screener consisting of six indirect items predicted toxicology results more accurately than direct questions about drug use (area under the ROC curve = 0.74, P < 0.001). Traditional direct screening questions were highly specific, but identified only a small minority of women who used drugs during the last trimester of pregnancy. CONCLUSIONS: Indirect screening may increase the accuracy of mothers' self-reports of prenatal drug use.

Just the two of us: misalignment of theory and methods in examining dyadic phenomena.

Many organizational phenomena such as leader-member exchange, mentoring, coaching, interpersonal conflict and cooperation, negotiation, performance appraisal, and the employment interview involve inherently dyadic relationships and interactions. Even when theories explicitly acknowledge the dyadic nature of such phenomena, it is not uncommon to observe a disconnection or misalignment between the level of theory and method. Our purpose in the current paper is to discuss how organizational scholars might better align these components of their research endeavors. We discuss how recent developments involving the actor-partner interdependence model (APIM) and reciprocal one-with-many (OWM) models are applicable to studying dyadic phenomena in organizations. The emphasis is on preanalytic considerations associated with collecting and organizing reciprocal dyadic data, types of research questions that APIM and reciprocal OWM models can help answer, and specific analytic techniques involved in testing dyadic hypotheses.

Risk factors for sexual aggression in young men: an expansion of the confluence model.

There are many explanations for high rates of sexual aggression, with no one theory dominating the field. This study extends past research by evaluating an expanded version of the confluence model with a community sample. One-hour audio computer-assisted self-interviews were completed by 470 young single men. Using structural equation analyses, delinquency, hostile masculinity, impersonal sex, and misperception of women's sexual cues were positively and directly associated with the number of sexually aggressive acts committed. There were also indirect effects of childhood victimization, personality traits associated with subclinical levels of psychopathy, and alcohol consumption. These findings demonstrate the usefulness of the confluence model, as well as the importance of broadening this theory to include additional constructs.

Drug use during pregnancy: validating the Drug Abuse Screening Test against physiological measures.

This study examined the ability of the Drug Abuse Screening Test (DAST-10) to identify prenatal drug use using hair and urine samples as criterion variables. In addition, this study was the first to use "best practices," such as anonymity, ACASI technology, and a written screener, to facilitate disclosure in this vulnerable population. 300 low-income, post-partum women (90.3% African-American) were recruited from their hospital rooms after giving birth. Participation involved (a) completing a computerized assessment battery that contained the DAST-10 and (b) providing urine and hair samples. Twenty-four percent of the sample had a positive drug screen. The sensitivity of the DAST-10 was only .47. Nineteen percent of the sample had a positive toxicology screen but denied drug use on the DAST-10. Findings suggest that brief drug use screeners may have limited utility for pregnant women and that efforts to facilitate disclosure via reassurance and anonymity are unlikely to be sufficient in this population.

Determining the statistical significance of relative weights.

Relative weight analysis is a procedure for estimating the relative importance of correlated predictors in a regression equation. Because the sampling distribution of relative weights is unknown, researchers using relative weight analysis are unable to make judgments regarding the statistical significance of the relative weights. J. W. Johnson (2004) presented a bootstrapping methodology to compute standard errors for relative weights, but this procedure cannot be used to determine whether a relative weight is significantly different from zero. This article presents a bootstrapping procedure that allows one to determine the statistical significance of a relative weight. The authors conducted a Monte Carlo study to explore the Type I error, power, and bias associated with their proposed technique. They illustrate this approach here by applying the procedure to published data.

Belief in a just world, social influence and illness attributions: evidence of a just world boomerang effect.

Characteristics of individuals and illnesses can both influence receptivity to preventative health messages. We examined whether receptivity to health messages depends on interactions between illness characteristics and dispositional concern for justice. Participants considered the preventability of six illnesses after exposure to a message that manipulated personal responsibility for illness. Paradoxically, participants with strong just world beliefs reported greater preventability for less preventable illnesses, such as brain cancer, when exposed to an unpreventable health message. In parallel, participants with low justice beliefs reported less preventability for lung cancer when exposed to a preventable message. This just world boomerang effect suggests that individual dispositions and illness characteristics can interact in ways that can produce either acquiescence or opposition to persuasive health messages.

Multivariate relative importance: extending relative weight analysis to multivariate criterion spaces.

For years, organizational scholars have sought effective ways to evaluate the importance of predictors included in a regression analysis. Recent techniques, such as general dominance weights and relative weights, have shown great promise for guiding evaluations of predictor importance. Nevertheless, questions remain regarding how one should investigate relative importance in the presence of a multidimensional criterion variable. The purpose of this article is to extend understanding of relative importance statistics to multivariate designs. The authors review the concept of relative importance and discuss a new procedure for calculating estimates of importance in the presence of multiple correlated criteria. Finally, a published correlation matrix is reanalyzed and a Monte Carlo simulation conducted to compare the new procedure with another technique for estimating importance. Unlike canonical solutions, which are often uninterpretable, the proposed multivariate relative weights provide an intuitive index regarding the relationship between predictors and criteria. Implications for organizational researchers are discussed.