Psychometric Properties of the Response to Anxiety Questionnaire

Recent research highlights the importance of transdiagnostic factors of psychopathology, particularly in understanding comorbidity. Repetitive negative thinking (RNT) is one such factor, which may elucidate anxiety-depression comorbidity. The Response to Anxiety Questionnaire (RAQ) aims to evaluate repetitive negative thinking (RNT) related to anxiety-depression comorbidity, specifically hopelessness and rumination about anxiety symptoms. Anxious hopelessness is negative thoughts about the future due to anxiety symptoms, and anxious rumination includes negative evaluations of the meaning of anxiety symptoms, therefore the current study assessed the RAQ in three studies. We used exploratory and confirmatory factor analysis methodologies to examine the factor structure of the RAQ. In addition, we tested indirect effects of the two factors of RAQ (Rumination and Hopelessness) between anxiety and depression, and tested measure convergent validity. Results of the current study provide additional support for the psychometric properties of the RAQ, suggesting a two factor makeup (hopelessness, rumination), as well as its use in predicting anxiety and depressive symptoms.     

A review of research on smoking among United States Veterans with posttraumatic stress disorder (2006–2016)

Posttraumatic stress disorder (PTSD) is one of the most common psychiatric disorders diagnosed in U.S. veterans. PTSD is associated with high smoking prevalences and difficulty quitting in the general U.S. population. The current study reviewed research on smoking and PTSD in U.S. veteran samples to summarize past research and identify areas in need of additional inquiry. MEDLINE and PsycINFO searches identified papers on smoking in samples of U.S. veterans with PTSD published from January 2006 through December 2016. Thirty-four articles met all of the inclusion criteria: (a) part of the sample consisted of U.S. veterans with PTSD or PTSD symptoms, and (b) the study examined some aspect of smoking behavior. U.S. veterans with PTSD were more likely to report smoking, heavy smoking, nicotine dependence, and late-onset smoking compared to veterans without PTSD. Smoking behaviors (e.g., current smoking, heavy smoking, smoking expectancies) differed by PTSD symptoms and by combat exposure. Smoking cessation feasibility studies examined the integration of smoking treatment into PTSD clinics and found favorable outcomes. Future research on veterans with PTSD would benefit from extending topics beyond rates of smoking to better understand the treatment needs of veterans. Research on smoking-related behaviors can help identify areas to target for interventions.     

Extreme Response Style and the Measurement of Intra-Individual Variability in Affect

Extreme response style (ERS) has the potential to bias the measurement of intra-individual variability in psychological constructs. This paper explores such bias through a multilevel extension of a latent trait model for modeling response styles applied to repeated measures rating scale data. Modeling responses to multi-item scales of positive and negative affect collected from smokers at clinic visits following a smoking cessation attempt revealed considerable ERS bias in the intra-individual sum score variances. In addition, simulation studies suggest the magnitude and direction of bias due to ERS is heavily dependent on the mean affect level, supporting a model-based approach to the study and control of ERS effects. Application of the proposed model-based adjustment is found to improve intra-individual variability as a predictor of smoking cessation.     

Mixed Methods in Youth Purpose: An Examination of Adolescent Self-Regulation and Purpose

Utilizing a relational developmental systems approach to examining character strengths, this article examines the connection between adolescents’ intentional self-regulation (ISR) with youth sense of purpose, using data from a large-scale evaluation of a youth development program in Scotland. Data were triangulated from multiple sources, including youth surveys and interviews as well as teacher assessments. Surveys were collected from 783 S2 (approximately seventh grade) pupils; teacher survey data were collected for 732 of these pupils. Telephone interviews were conducted with a subset of 29 adolescents. The data were analyzed with an innovative mixed-methods technique that allows qualitative interview data to underscore consistencies and disconnects with quantitative findings from both teacher and adolescent surveys. Results demonstrate a strong connection between ISR and purpose and many consistencies across measures of purpose.     

Navigating the Workplace: The Costs and Benefits of Shifting Identities at Work among Early Career U.S. Black Women

Although much progress has been made in race relations in the United States, discrimination still persists in the workplace. As a result, Black women, among individuals from other underrepresented groups, develop coping strategies, such as identity shifting, to diminish the negative consequences of discrimination. We used the phenomenological variant of ecological systems theory to examine shifting racial, gender, and class identities among early career (recent college graduates) U.S. Black women working in predominantly White environments. Drawing on ten semi-structured interviews with college-educated Black women, data were analyzed with an interpretative phenomenological analysis. The results revealed two major themes: (a) benefits of identity shifting and (b) the costs of identity shifting, the latter with five subthemes: (a) managing interpersonal rejection: frozen effect, (b) assimilation to the dominant culture and inauthenticity, (c) confronting and dismantling stereotypes, (d) model Black citizen, and (c) mixed feelings toward identity shifting. The findings indicate that Black women vacillate between the benefits and costs of identity shifting, altering their dialect and behavior to meet social norms. Our study’s implications suggest the necessity of a multicultural approach by employers to affirm their workers’ social identities, strengthen employee relationships, and lessen the need for shifting identities.     

Choral Inclination: Coming Together as the World Falls Apart

Philosophia - What drives bodies together? What inclines them towards one another? What keeps these bodies inclined towards each other as the world around them continues to fall apart? In this...     

Effects of Parent Emotion Socialization on the Neurobiology Underlying Adolescent Emotion Processing: A Multimethod fMRI Study

Research on Child and Adolescent Psychopathology - Parents’ emotion socialization (ES) practices impact socioemotional development throughout adolescence. Little is known, however, regarding...     

Understanding Co-Occurring ADHD and Anxiety Symptoms within a Developmental Framework: Risk and Protective Factors of Early Temperament and Peer Relations

Research on Child and Adolescent Psychopathology - Symptoms of ADHD and anxiety often co-occur, yet we are limited in our understanding of which children with ADHD symptoms are more likely to...     

Social Norms and Engagement in Protective Health Behaviors Among Rural Health Providers

Journal of Clinical Psychology in Medical Settings - The COVID-19 pandemic has had far-reaching effects for individuals and healthcare systems in the United States. Increasing and sustaining...     

Coh-metrix: analysis of text on cohesion and language.

Advances in computational linguistics and discourse processing have made it possible to automate many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix, which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers, templates, corpora, latent semantic analysis, and other components that are widely used in computational linguistics. After the user enters an English text, CohMetrix returns measures requested by the user. In addition, a facility allows the user to store the results of these analyses in data files (such as Text, Excel, and SPSS). Standard text readability formulas scale texts on difficulty by relying on word length and sentence length, whereas Coh-Metrix is sensitive to cohesion relations, world knowledge, and language and discourse characteristics.