Psychological Consequences of Pregnancy Loss and Infant Death in a Sample of Bereaved Parents

This study aimed to explore a broad range of psychological reactions to trauma in a sample of bereaved parents in order to assess whether the traumatic framework is adequate for describing the entire range of emotional reactions to infant death. A sample of bereaved parents (N = 455) who lost their child through perinatal or postnatal loss were compared to a control group of parents (N = 110) who gave birth to a healthy child. Multivariate regression analysis clearly demonstrated that bereaved parents scored significantly higher on the Depression, Anxiety, Dissociation, Sleep Disturbances, Somatization, Interpersonal Sensitivity, and Aggression subscales of the Trauma Symptom Checklist. Consistent with previous studies, the results showed that for up to 5 years postloss bereaved parents expressed elevated levels of trauma-specific and psychological outcomes, in particular interpersonal sensitivity and aggression.     

Eyewitness identification discriminability: ROC analysis versus logistic regression

To reach conclusions regarding the respective accuracy of two conditions, eyewitness researchers evaluate correct and false identification rates computed across participants. Two approaches typically are employed. One approach relies on ratio-based probative value measures; but Wixted and Mickes (2012) and Gronlund, Wixted, and Mickes (2014) showed that these measures fail to disentangle an assessment of accuracy (i.e., discriminability between guilty and innocent suspects) from response bias (i.e., a willingness to make a response). Our focus is on a second approach, logistic regression analyses of the correct and of the false identification rates. Logistic regression also fails to disentangle discriminability from bias. Therefore, it only can denote the most accurate condition in limited circumstances. The best approach for reaching the proper conclusion regarding which condition is most accurate is to use receiver operator characteristic (ROC) analysis. Simulated ROC data illustrate the problem with a reliance on logistic regression to assess accuracy.     

Employee–supervisor political skill congruence and work outcomes: The mediating role of leader–member exchange quality

This study aims to investigate the effect of employee–supervisor political skill congruence on the quality of leader–member exchange (LMX), which in turn influences employees' job satisfaction and turnover intention. For this purpose, two survey studies were conducted. The first study examined the relationship between employee–supervisor political skill congruence and LMX using multi-source data collected from 287 employee–supervisor dyads. The second study examined the indirect effect of congruence in political skill on work outcomes through LMX by using time-lagged multi-source data collected from 142 employee–supervisor dyads. The findings indicate that compared with incongruence, congruence in political skill is associated with higher employee-rated LMX. Moreover, among dyads with congruent political skills, congruence at high levels of political skill is associated with higher employee-rated LMX compared with congruence at low levels of political skill. Moreover, in case of incongruency, low employee–high supervisor political skill combination was related to higher supervisor-rated LMX compared with high employee–low supervisor political skill combination. Lastly, employee–supervisor political skill congruency indirectly influences job satisfaction and turnover intention through employee-rated LMX. This research significantly contributes to the political skill literature by examining potential consequences of employee–supervisor congruence in political skill in the workplace.     

Estimation of stimulus-response curves by bayesian least squares

Bayesian least squares techniques are adapted to estimation of stimulus-response curves, rather broadly conceived. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental testing, and estimation of a stimulus-response curve using data from a psychophysical experiment.The present paper is a version of an invited address of the same title, presented to the meetings of The Psychometric Society in Monterey, California on June 8, 1979, expanded by adding Example 1.The writer gratefully acknowledges the benefit of conversations with Don Pierce, and with John Shih, whose related work on density estimation pointed up an error in the original version of Section 2. He acknowledges, gratefully, support by the National Science Foundation through Grants MCS 76-02166A01 and MCS 78-01932. And he wishes to express his gratitude for the cordial hospitality and gracious cooperation offered by Professor Donald M. MacKay and the staff of the Department of Communication, University of Keele, during spring and summer, 1976; in particular, by Professor Dennis P. Andrews and Keichi Uchikawa, who kindly furnished data, a small portion of which is used in the illustrative example, Example 2.     

Underlying correlation structures of parental stress, general health and anxiety

A partial least square regression (PLSR) was performed on the Swedish Parenthood Stress Questionnaire (SPSQ) sum score and subscales on incompetence, role restriction, social isolation, spouse relationship and health problems, using 42 items from the General Health Questionnaire (GHQ) and 20 items from the State Anxiety Inventory (STAI-X1). The dataset contained 227 fathers and 301 mothers of children aged 1.0-6.6 years from a population-based study on parental psychological distress in the general Norwegian population, and all items correlated positively with SPSQ. Subscales on spouse relationship, incompetence, social isolation and role restriction related to items on state anxiety and depression. The SPSQ subscale on health problems related to GHQ items on somatic symptoms and social dysfunction. The STAI-X1 item "not feeling rested" had a particularly important effect on parental stress. Underlying correlation structures between parental stress and items from STAI-X1 and GHQ were explored, but only the SPSQ sum score could be acceptably predicted. PLSR as a statistical methodology was found useful for health and psychometric data.     

The social and emotional skills of bullies,victims, and bully–victims of Egyptian primary school children

This study examined whether bullies, victims, bully–victims (who are both bullies and victims), and students who reported no or low levels of bullying and victimization differed in their levels of social and emotional skills. Data were collected from 623 children in fifth and sixth grades from four Egyptian elementary schools; their ages ranged from 10 to 12 years. K‐means cluster analysis revealed four groups: bullies (n = 138), victims (n = 178), bully–victims (n = 59), and children who were not involved in bullying behaviour (n = 248). Data were analyzed using multinomial logistic regression. The findings indicated that boys were more involved in bullying behaviour than girls, and both bullies and bully–victims were less likely to adhere to social rules and politeness than children who were not involved in bullying. Both bullies and victims were less aware of the physiological reactions of their emotions than uninvolved children, and were less able to apply social rules in social interaction. Both victims and bully–victims reported less likeability than children not involved in bullying. Verbal sharing, attending to others’ emotions, and analysis of emotions did not have a statistically significant relationship with the probabilities of classifying children to any bullying group versus children not involved in bullying. Social skills were more important than emotional awareness in predicting the likelihood of classifying children in one of the three bullying groups versus children who not involved in bullying. The main conclusion is that social and emotional skills together may provide an effective means of intervention for bullying problems.     

Variations in Linear and Nonlinear Postural Measurements under Achilles Tendon Vibration and Unstable Support-Surface Conditions

Reduced support-surface stability has been shown to attenuate the effect of Achilles tendon vibration on backward body displacement. In the present study, 20 participants performed a quiet, upright standing task on a stable and sway-referenced support, with and without vibration. The authors calculated equilibrium scores (ES), approximate entropy (ApEn), and mean and peak power spectral density frequencies of center-of-pressure variations. It was found that ES values decreased with the addition of vibration and in the sway-referenced support condition. ApEn values decreased with the addition of vibration but only with a stable support. Conversely, mean and peak frequencies increased with the addition of vibration, independent of support stability. These results suggest that the role of ankle proprioceptive input changes depending on support-surface characteristics and demonstrate the value of using both linear and nonlinear measures of postural sway.     

The synergetic principles of nonlinear thinking

In order to develop further the methods of scenario building and to facilitate the paths towards a desirable and sustainable future, we cannot do without a nonlinear evolutionary thinking. The theory of self‐organization of complex systems, called also synergetics, is a scientific basis for such a thinking, the main principles of which are under consideration in the paper. Synergetics provides us with the knowledge of constructive principles of coevolution of complex social systems, coevolution of countries and geopolitical regions being at different stages of development, integration of the East and the West, the North and the South.