A Cross-Lagged Panel Approach to Understanding Social Support and Chronic Posttraumatic Stress Disorder Symptoms in Veterans: Assessment Modality Matters

Although there is a strong and consistent association between social support and posttraumatic stress disorder (PTSD), the directionality of this association has been debated, with some research indicating that social support protects against PTSD symptoms, whereas other research suggests that PTSD symptoms erode social support. The majority of studies in the literature have been cross-sectional, rendering directionality impossible to determine. Cross-lagged panel models overcome many previous limitations; however, findings from the few studies employing these designs have been mixed, possibly due to methodological differences including self-report versus clinician-administered assessment. The current study used a cross-lagged panel structural equation model to explore the relationship between social support and chronic PTSD symptoms over a 1-year period in a sample of 264 Iraq and Afghanistan veterans assessed several years after trauma exposure. Approximately a third of the sample met criteria for PTSD at the baseline assessment, with veterans’ trauma occurring an average of 6 years prior to baseline. Two separate models were run, with one using PTSD symptoms assessed via self-report and the other using clinician-assessed PTSD symptoms. Excellent model fit was found for both models. Results indicated that the relationship between social support and PTSD symptoms was affected by assessment modality. Whereas the self-report model indicated a bidirectional relationship between social support and PTSD symptoms over time, the clinician-assessed model indicated only that baseline PTSD symptoms predicted social support 1 year later. Results highlight that assessment modality is one factor that likely impacts disparate findings across previous studies. Theoretical and clinical implications of these findings are discussed, with suggestions for the growing body of literature utilizing these designs to dismantle this complex association.     

A Structural Equation Model for the School Reinforcement Survey Schedule: Italian and American Early Adolescents

The School Reinforcement Survey Schedule (SRSS) was administered to 2,828 boys and girls in middle schools in the United States and an Italian translation was administered to 342 boys and girls in middle schools in Northern Italy. An exploratory factor analysis using half the American data set was performed using maximum likelihood estimation with a promax rotation. This analysis produced a structural equation model with six interpretable latent variables. This analysis was confirmed by results demonstrating a good fit with the other half of the American sample and separately with the Italian sample. Scores for the six latent variables were constructed and information about the distribution of scores was obtained. Multiple comparisons of the means were performed by gender, within each national sample, for each of the six latent variables. American and Italian girls report obtaining greater enjoyment from a wider variety of school activities compared to American and Italian boys.     

Who Knows? Knowledge Activation,Belief in Certainty of Knowledge,Maximization Tendencies and Need for Cognition in Answerability Judgments

In this study, investigating answerability judgments, 123 participants judged whether each of 46 general knowledge questions could currently be answered by themselves, by someone else, or by no one. There were 26 consensus questions (high expected consensus about their answerability) and 20 non-consensus questions. Before each question, half of the participants rated the extent of their knowledge related to the question. Results showed that answering consensus questions compared with non-consensus led to a lower proportion of “No one knows” answers. Moreover, in the knowledge rating condition compared with the control condition, participants choose “No one knows” proportionally less. Participants’ ratings of belief in certainty of knowledge were associated with more “Someone else knows” for the non-consensus questions. Moreover, tendency to maximization led to a higher proportion of “Someone else knows” options for the non-consensus questions. Finally, high need for cognition was associated with fewer choices of “Someone else knows.”     

The influence of natural contour and face size on the spatial frequency tuning for identifying upright and inverted faces

Psychological Research - It has previously been proposed that holistic face processing is based on low spatial frequencies (SFs) whereas featural processing relies on higher SFs, a hypothesis still...