“We Need a Song of Hope”: Responding to the COVID-19 Informational and Psychospiritual Needs of Residents of a Gated Community in the Philippines

Journal of Religion and Health - The brutal disruptions caused by the novel coronavirus (COVID-19) pandemic require dynamic ways of responding, not only to the informational needs of communities,...     

What role does neuroticism play in the association between negative job characteristics and anxiety and depression?

Many studies have established an association between job characteristics and anxiety and depression and noted that personality characteristics such as neuroticism likely play a role in creating or modifying these associations. Few studies, however, have explicitly tested or compared these possible alternative roles. In this study, we tested several specific hypotheses about neuroticism and its effects on job characteristics, anxiety and depression and their association in a series of structural equation models. Participants (N = 372) completed the Big Five Inventory, Job Contents Questionnaire and General Health Questionnaire. We tested (a) whether neuroticism is likely to be an important confounder of the association between job characteristics and anxiety and depression and (b) whether neuroticism moderates the association between job characteristics and anxiety and depression. Results indicated large attenuations by neuroticism of the association between job characteristics and anxiety and depression but there remained significant effects of psychological demands on anxiety, and social support on depression independent of neuroticism. Evidence was also found for interaction effects between neuroticism and decision latitude, with those lower in neuroticism being at higher risk for depression under conditions of low control.     

Quantifying the Strength of General Factors in Psychopathology: A Comparison of CFA with Maximum Likelihood Estimation,BSEM, and ESEM/EFA Bifactor Approaches

Whether or not importance should be placed on an all-encompassing general factor of psychopathology (or p factor) in classifying, researching, diagnosing, and treating psychiatric disorders depends (among other issues) on the extent to which comorbidity is symptom-general rather than staying largely within the confines of narrower transdiagnostic factors such as internalizing and externalizing. In this study, we compared three methods of estimating p factor strength. We compared omega hierarchical and explained common variance calculated from confirmatory factor analysis (CFA) bifactor models with maximum likelihood (ML) estimation, from exploratory structural equation modeling/exploratory factor analysis models with a bifactor rotation, and from Bayesian structural equation modeling (BSEM) bifactor models. Our simulation results suggested that BSEM with small variance priors on secondary loadings might be the preferred option. However, CFA with ML also performed well provided secondary loadings were modeled. We provide two empirical examples of applying the three methodologies using a normative sample of youth (z-proso, n = 1,286) and a university counseling sample (n = 359).     

When Middle Really Means “Top” or “Bottom”: An Analysis of the 16PF5 Using Bock's Nominal Response Model

When self-report items with a Likert-type scale include a middle response option (e.g., Unsure, Neither agree nor disagree, or ?), this middle option is assumed to measure a level of the trait intermediate between the high and low response categories. In this study, we tested this assumption in the 16 Personality Factor Questionnaire, Version 5 (16PF5) by fitting Bock's nominal response model in the U.S. and UK standardization samples of the 16PF5. We found that in many cases, the middle option was indicative of higher levels of the latent trait than the ostensibly highest response option. In certain other cases, it was indicative of lower levels of the latent trait than the ostensibly lowest response option. This undermines the use of a simple successive integer scoring scheme where responses in adjacent response categories are assigned scores of 0, 1, and 2. Recommendations for alternative scoring schemes are provided. Results also suggested that certain personality traits, especially neurotic traits, are associated with a tendency toward selecting the middle option.     

An analysis of the effectiveness of university counselling services

It is important to demonstrate replicable evidence of the effectiveness of counselling procedures. The study aimed to contribute to the currently limited evidence base examining the effectiveness of university student counselling in the UK. Information on therapeutic outcome [based on Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) scores] for 305 individuals attending a large UK university counselling service was analysed. Following counselling intervention: there was a statistically significant improvement in CORE-OM scores with 63% of individuals showing a reliable improvement and only 2% showing a reliable deterioration. Of those who began with a score in the clinical range, 49% showed a clinically significant change. These results provide additional evidence for the effectiveness of university counselling interventions. Future research should aim to build on this preliminary research using randomised controlled trial designs.     

Assessing the accuracy of the WISC-IV seven-subtest short form and the child and adolescent intellectual disability screening questionnaire in identifying intellectual disability in children

Little research has been conducted into the accuracy of abbreviated assessments in identifying children and young people with an intellectual disability (ID). The present study compared two such methods in a clinical population of individuals with (n = 106) and without (n = 170) ID: a 7-subtest short form of the Wechsler Adult Intelligence Scales for Children—fourth edition (WISC-IV) proposed by Crawford and colleagues and the Child and Adolescent Intellectual Disability Screening Questionnaire (CAIDS-Q). Both the CAIDS-Q and the WISC-IV short form had high and comparable levels of predicting group classification (88% and 91% correct classification, respectively). Both methods would appear to offer clinicians and researchers an efficient and accurate means of identifying those who are likely to have ID. The WISC-IV short form was slightly more accurate, but the CAIDS-Q may offer the advantages of being shorter to administer and having no requirement for the user to have a particular qualification or training.