Can Temperament Identify Affectively Ill Patients Who Engage in Lethal or Near‐Lethal Suicidal Behavior? A 14‐Year Prospective Study

Among affectively ill patients followed naturalistically for up to 14 years, 36 committed suicide, 120 attempted suicide, and 373 had no recorded suicide attempt. Comparing these three groups on clinical and intake personality revealed that suicide completed within 12 months was predicted by clinical but not personality variables, and suicide beyond 12 months was predicted by newly derived temperament factors, not clinical variables. Attempters and completers shared core characteristics: previous attempts, impulsivity, substance abuse, and psychic turmoil within a cycling/mixed bipolar disorder. Such temperament attributes as impulsivity and assertiveness were the best prospective predictors of completed suicides beyond 12 months with a sensitivity level of 74% and specificity level of 82%.     

Does Dissociation Among Adolescents Predict Difficulties? A Panel Study in Japan

Dissociation has been reported to be associated with emotive-relational and behavioral difficulties; however, the temporal relationship between dissociation and these difficulties is unclear. Accordingly, this study investigated whether dissociation predicts difficulties (including emotional symptoms, conduct problems, hyperactivity, and peer problems) in adolescents. A two-wave cross-lagged panel study (Time 1: September–November 2016, Time 2: February–March 2017) was conducted among 1,773 Japanese junior high and high school students at two private schools (995 boys and 778 girls; M_age = 14.79 years at Time 1 and 15.09 years at Time 2). Dissociation was assessed using the Japanese version of the Adolescent Dissociative Experiences Scale and perceived difficulties were assessed via the Strengths and Difficulties Questionnaire. A cross-lagged effects model analysis indicated that high dissociation scores at Time 1 predicted high difficulties scores at Time 2. These findings suggest that dissociation could effectively predict difficulties in junior high and high school students. This study expands the field's understanding of the temporal relationship between behavioral problems and dissociation, which could help prevent problem behaviors.     

Family‐Based Preventive Interventions: Can the Onset of Suicidal Ideation and Behavior Be Prevented?

Suicide is the second leading cause of death for youth aged 10–24. Research informed prevention efforts have the opportunity to decrease risk for suicidal ideation and behavior before it is manifested. Indeed, there is a small body of research findings demonstrating both proximal and distal effects of preventive interventions delivered in childhood and adolescence on suicidal ideation and/or behavior. These efforts build off of other secondary analyses of prevention research that has demonstrated benefits for multiple types of youth outcomes. This supplement provides “proof of concept” that family‐based preventive interventions aimed at reducing a number of risk factors for suicide (e.g., substance use, externalizing, and internalizing behavior) can prevent suicidal ideation and behaviors.     

What Predicts Change in Marital Interaction Over Time? A Study of Alternative Models

This is a report on what predicts the deterioration of affective marital interaction over a 4-year period. Four models were compared for their ability to predict Time-2 dysfunctional marital interaction (a set of reliable predictors of marital dissolution). These four models were: (1) baseline physiology at Time-1; (2) interaction physiology at Time-1; (3) a balance model based on the ratio of positivity to negativity at Time-1; and, (4) cognitions about the relationship operationalized from our coding of the Oral History Interview. All four models predicted Time-2 dysfunctional marital interaction. All four models were also able to predict change, operationalized as predicting Time-2 interaction, controlling for Time-1 interaction, that is, using a covariance regression analysis. The most powerful model in predicting change was the balance ratio model.     

Sticking to the Evidence? A Behavioral and Computational Case Study of Micro‐Theory Change in the Domain of Magnetism

Constructing an intuitive theory from data confronts learners with a “chicken‐and‐egg” problem: The laws can only be expressed in terms of the theory's core concepts, but these concepts are only meaningful in terms of the role they play in the theory's laws; how can a learner discover appropriate concepts and laws simultaneously, knowing neither to begin with? We explore how children can solve this chicken‐and‐egg problem in the domain of magnetism, drawing on perspectives from computational modeling and behavioral experiments. We present 4‐ and 5‐year‐olds with two different simplified magnet‐learning tasks. Children appropriately constrain their beliefs to two hypotheses following ambiguous but informative evidence. Following a critical intervention, they learn the correct theory. In the second study, children infer the correct number of categories given no information about the possible causal laws. Children's hypotheses in these tasks are explained as rational inferences within a Bayesian computational framework.     

Does Theory of Mind in Pre-kindergarten Predict the Ability to Think About a Reader’s Mind in Elementary School Compositions? A Longitudinal Study

A critical skill in emergent writing is the developing ability to take the perspective of different readers; however, the precursors of this skill have not yet been identified. In this longitudinal study, 105 children (90 after attrition) were tested at 3 time points: pre-kindergarten (3–4 years old, n = 105), kindergarten (5 years old, n = 97), and Grade 1 (6–7 years old, n = 90). Theory of mind (ToM) in pre-kindergarten significantly predicted children’s awareness of a reader’s epistemic state when they dictated letters in both kindergarten and Grade 1 even after controlling for language (Peabody Picture Vocabulary Task [PPVT]) and inhibitory control. In addition, ToM in pre-kindergarten remained a significant predictor of reader awareness in Grade 1 after further controlling for reader awareness in kindergarten. There was little relationship between higher-order ToM tasks in kindergarten and reader awareness, but higher-order ToM in Grade 1 concurrently predicted reader awareness. Receptive vocabulary (PPVT) was significantly related to reader awareness at all time points, longitudinally and concurrently. This study has both theoretical implications for the relationship between ToM and emergent literacy and practical implications for the early identification and remediation of children at risk for later writing difficulties.     

Does method of acquisition affect the quality of expert judgment? A comparison of education with on‐the‐job learning

Expertise can be acquired through experience or through education, and many occupations demand a mixture of both. In this paper we evaluate the level of expertise acquired through these two routes by comparing credit decisions made by professional credit managers (who have learned through experience rather than education) and lecturers and students in management, (who have no experience but have learned the relevant concepts). We also tested a control group of laypeople with neither relevant formal education nor experience. Participants assumed the role of credit manager and made creditworthiness predictions and credit granting decisions for six companies with known performance. Lecturers and students generally outperformed credit managers on the prediction tasks, and the credit managers performed only slightly better than laypeople. In short, for at least one domain, it appears to be more efficient to learn from formal education than from experience. We argue that the prerequisites for successful learning are largely absent from the everyday experience of credit managers, but are present in an educational context.     

Caution or Warning? A Validity Study of the MAYSI‐2 with Juvenile Offenders

Given the high prevalence of mental health and substance use disorders in the juvenile justice system and the emphasis on efficient screening and referrals, the current study sought to further validate the use of the Massachusetts Youth Screening Instrument version 2 (MAYSI‐2). Using data from institutionalized delinquents (N = 836) committed to the California Youth Authority, finite mixture modeling was employed to identify distinct latent classes based on MAYSI‐2 scale scores. Identified classes were then compared across a range of covariates, including prior offenses, official records of misconduct, and multiple measures of mental health and psychological well‐being. Findings revealed a three‐class, gradient‐based structure: low distress (n = 380), moderate distress (n = 327), and high distress (n = 129). Overall, the MAYSI‐2 identified juvenile offenders with mental health and substance use issues, but it did not differentiate youths with respect to offending patterns. Copyright © 2014 John Wiley & Sons, Ltd.     

Spaced Out in Cyberspace? Evaluations of Computer‐Based Information1

This study draws on cognitive elaboration theory to examine when and why people evaluate computer‐based information more favorably than information from a less automated source. Half of participants received information from a computer, while half received the identical information from a less automated source. Moreover, participants were induced to be more vs. less involved in the information‐acquisition process. As predicted, participants in the low‐involvement condition evaluated the information more favorably when it came from a computer than from a less automated source. This difference was eliminated in the high‐involvement condition. Further supporting our reasoning, the interaction effect between information source and level of involvement was more pronounced for participants low, rather than high, in need for cognition.     

Driven,Distracted, or Both? A Performance‐Based Ex‐Gaussian Analysis of Individual Differences in Anxiety

Since the inception of the empirical study of personality, and even before it, individual differences in anxiety and distress have been viewed as key predictors of behavioral performance. Yet such literatures have always entertained 2 perspectives, one contending that anxious individuals are "driven" and the other contending that anxious individuals are "distracted." The present 3 studies (total N=289) sought to reconcile such discrepant views according to an ex-Gaussian parsing of reaction time performance tendencies in basic cognitive tasks. As hypothesized, a particular pattern marked by faster responding on the preponderance of trials (in terms of the ex-Gaussian μ parameter) in combination with slower responding on other trials (in terms of the ex-Gaussian τ parameter) was predictive of higher levels of anxiety. Implications for understanding neuroticism, distress, the anxiety-performance interface, and cognitive models of personality processes are discussed.     

What Can We Learn from the Study of Mexican‐Origin Families in the United States?

Mexican‐origin families are a large and rapidly increasing subgroup of the U.S. population, but they remain underrepresented in family scholarship. This paper introduces a special section of four papers on Mexican‐origin families designed to contribute to the advancement of research on how cultural, family, and gender socialization processes unfold across key developmental periods and life transitions in this cultural context. Two longitudinal studies of Mexican‐origin families provided the data for these four papers: (a) The Juntos Project, an 8‐year longitudinal study of mothers, fathers, and adolescent sibling pairs in 246 Mexican‐origin families; and (b) The Supporting MAMI Project, a study following 204 adolescent mothers and their mother figures from the third trimester of pregnancy through their young children's 5th birthdays. In this introductory paper, we highlight four themes, including (a) differential acculturation and reciprocal socialization, (b) interdependence in families, (c) the intersection of culture and gender, and (d) methodological issues. We end with suggestions for future research.     

Can Self‐Determination Theory Explain the Self‐Perpetuation of Social Innovations? A Case Study of Slow Food at the University of Wisconsin—Madison

This case study of Slow Food at the University of Wisconsin—Madison (SFUW) examines the success of a volunteer social innovation that promotes sustainable food access. Using inductive thematic analysis of 19 in‐depth, semi‐structured interviews of past and current members, advisors, and collaborators, we find that the success of SFUW is consistent with Self‐Determination Theory. We find that among the participants, the organization satisfies the basic psychological needs for autonomy, competence, and relatedness, which in turn support intrinsic motivation. In this way, volunteering tasks become interesting, fun, and are more likely to be performed over time. The findings suggest that needs fulfillment and intrinsic motivation are linked to creating a self‐propagating social innovation where volunteers generate new ideas and successfully transfer skills to others. Copyright © 2015 John Wiley & Sons, Ltd.     

Naturally better? A review of the natural‐is‐better bias

People are frequently exposed to products and services that are labeled natural (e.g., Nature Made Vitamins or GoJo Natural Orange Hand Cleaner). The frequency with which this label is used suggests that it delivers an advantage in marketing and sales. Our review examines the preference for and perception of naturalness and reveals that people have a bias for items described as natural in many domains including foods, medicine, beauty products, cigarettes, and lighting. These preferences abound even when the natural item is identical or not objectively better than the non‐natural or synthetic item. We believe this bias may be driven by a natural‐is‐better default belief as well as the belief that natural items are safer than non‐natural items. Although a bias for natural items is apparent, this literature is in its infancy, and we suggest three areas that will help build and refine the empirical research base and theory: the measurement of behavior, the examination of individual differences, and the development of methods for reducing the bias. A better understanding of the naturalness bias relevant to these areas will lead to a more comprehensive understanding of the area, including factors that may cause and reduce it.     

What’s the Harm in Asking About Suicidal Ideation?

Both researchers and oversight committees share concerns about patient safety in the study-related assessment of suicidality. However, concern about assessing suicidal thoughts can be a barrier to the development of empirical evidence that informs research on how to safely conduct these assessments. A question has been raised if asking about suicidal thoughts can result in iatrogenic increases of such thoughts, especially among at-risk samples. The current study repeatedly tested suicidal ideation at 6-month intervals for up to 2-years. Suicidal ideation was measured with the Suicidal Ideation Questionnaire Junior, and administered to adolescents who had previously received inpatient psychiatric care. Change in suicidal ideation was tested using several analytic techniques, each of which pointed to a significant decline in suicidal ideation in the context of repeated assessment. This and previous study outcomes suggest that asking an at-risk population about suicidal ideation is not associated with subsequent increases in suicidal ideation.     

What Does the Alliance Predict in Group Interventions for Early Psychosis?

The therapeutic alliance is considered an essential component of any clinical or psychological intervention. The therapeutic alliance can however change over time, and therefore it is relevant to determine if the alliance and its variations are related to clinical outcomes. The present study had three objectives: (1) determine the impact of the alliance measured by the client and the therapist, on clinical and psychosocial outcomes of individuals with early psychosis receiving group interventions; (2) measure the concordance between the client and the therapists’ ratings of the alliance; and (3) determine the best predictor of the client’s alliance in our sample. A total of 36 individuals with early psychosis who participated in group interventions for symptom management answered the WAI three times, and so did the group therapists. Outcomes included measures of insight, symptoms (total, positive and negative), and self-esteem. Attendance and group participation were also measured. Results suggest that the overall client’s alliance predicted total symptoms and self-esteem at post-therapy, whereas both clients’ and therapists’ ratings predicted group attendance and participation. Greater variations in the alliance overtime for the clients were somewhat linked to worse negative symptoms at post-therapy. Alliance ratings were generally high and fairly concordant between therapists and clients. Only the baseline measure of capacity for attachment, predicted the client’s overall alliance scores. Clinical implications are discussed.     

Can the Edinburgh Risk of Repetition Scale Predict Repetition of Deliberate Self‐poisoning in an Australian Clinical Setting?

This study tested the ability of the Edinburgh Risk of Repetition Scale (ERRS) to identify patients at high risk for repeat deliberate self-poisoning (DSP). Consecutive DSP patients (N= 1,317) over a 3-year period were followed-up for 12 months. A statistically significant relationship between ERRS scores and repetition was observed; however, sensitivity and specificity were low. Logistic regression analysis revealed only "previous parasuicide" contributed significantly to repetition. The ERRS had limited value in identifying patients at high risk of repeat DSP in this clinical population.     

A test of the micro‐expressions training tool: Does it improve lie detection?

The purpose of the study was to examine the effectiveness of the micro‐expressions training tool (METT) in identifying and using micro‐expressions to improve lie detection. Participants (n = 90) were randomly assigned to receive training in micro‐expressions recognition, a bogus control training, or no training. All participants made veracity judgements of five randomly selected videos of targets providing deceptive or truthful statements. With the use of the Bayesian analyses, we found that the METT group did not outperform those in the bogus training and no training groups. Further, overall accuracy was slightly below chance. Implications of these results are discussed.