Aging in an "infodemic": The role of analytical reasoning, affect, and news consumption frequency on news veracity detection.

Increasing misinformation spread poses a threat to older adults but there is little research on older adults within the fake news literature. Embedded in the Changes in Integration for Social Decisions in Aging (CISDA) model, this study examined the role of (a) analytical reasoning; (b) affect; (c) news consumption frequency, and their interplay with (d) news content on news veracity detection in aging. Conducted during the early phase of the COVID-19 pandemic, the present study asked participants to view and evaluate COVID or non-COVID (i.e., everyday) news articles, followed by measures of analytical reasoning, affect, and news consumption frequency. News veracity detection was comparable between young and older adults. Additionally, fake news detection for non-COVID news was predicted by individual differences in analytic reasoning for both age groups. However, chronological age effects in fake news detection emerged within the older adult sample and interacted with the CISDA-derived components of analytical reasoning, affect, and news consumption frequency by news content. Collectively, these findings suggest that age-related vulnerabilities to deceptive news are only apparent in very old age. Our findings advance understanding of psychological mechanisms in news veracity detection in aging. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The role of analytical reasoning and source credibility on the evaluation of real and fake full-length news articles.

AIM: Previous research has focused on accuracy associated with real and fake news presented in the form of news headlines only, which does not capture the rich context news is frequently encountered in real life. Additionally, while previous studies on evaluation of real and fake news have mostly focused on characteristics of the evaluator (i.e., analytical reasoning), characteristics of the news stimuli (i.e., news source credibility) and the interplay between the two have been largely ignored. To address these research gaps, this project examined the role of analytical reasoning and news source credibility on evaluation of real and fake full-length news story articles. The project considered both accuracy and perceived credibility ratings as outcome variables, thus qualifying previous work focused solely on news detection accuracy. METHOD: We conducted two independent but parallel studies, with Study 2 as a direct replication of Study 1, employing the same design but in a larger sample (Study 1: N = 292 vs. Study 2: N = 357). In both studies, participants viewed 12 full-length news articles (6 real, 6 fake), followed by prompts to evaluate each article's veracity and credibility. Participants were randomly assigned to view articles with a credible or non-credible source and completed the Cognitive Reflection Test as well as short demographic questions. FINDINGS: Consistent across both studies, higher analytical reasoning was associated with greater fake news accuracy, while analytical reasoning was not associated with real news accuracy. In addition, in both studies, higher analytical reasoning was associated with lower perceived credibility for fake news, while analytical reasoning was not associated with perceived credibility for real news. Furthermore, lower analytical reasoning was associated with greater accuracy for real (but not fake) news from credible compared to non-credible sources, with this effect only detected in Study 2. CONCLUSIONS: The novel results generated in this research are discussed in light of classical vs. naturalistic accounts of decision-making as well as cognitive processes underlying news articles evaluation. The results extend previous findings that analytical reasoning contributes to fake news detection to full-length news articles. Furthermore, news-related cues such as the credibility of the news source systematically affected discrimination ability between real and fake news.

Prevalence of ADHD and its subtypes in male and female adult prison inmates.

There are few published studies of attention-deficit/hyperactivity disorder (ADHD) in adult inmates, and even fewer studies that have considered ADHD in adult inmates by gender. The present study examined the prevalence of ADHD, its subtypes, and associated psychological and neuropsychological comorbidity as a function of gender in a sample of 3,962 inmates (3,439 men and 523 women; mean age = 33.6 years, range 17-73) who had completed the 250-item, self-report, Diagnostic and Statistical Manual of Mental Disorders, 4th edition (Text Revision) (DSM-IV-TR)-aligned Coolidge Correctional Inventory (CCI). The overall ADHD prevalence rate found was 10.5%, which is substantially higher than the rate among adults in the general population (2-5%). The female inmate ADHD prevalence rate (15.1%) was higher than the male inmate ADHD rate (9.8%), consistent with some previous studies. The most prevalent ADHD subtype for both genders was the hyperactive-impulsive subtype. The combined and inattentive ADHD subtypes had higher levels of comorbid psychopathology than the hyperactive-impulsive ADHD subtype. As the presence of ADHD and associated gender differentials may impact the success of rehabilitation and educative programs with inmates, the assessment of ADHD and comorbid psychopathology should be a priority in initial inmate screening and evaluation.

Effects of neuroimaging evidence on mock juror decision making.

During the penalty phase of capital trials, defendants may introduce mitigating evidence that argues for a punishment "less than death." In the past few years, a novel form of mitigating evidence-brain scans made possible by technological advances in neuroscience-has been proffered by defendants to support claims that brain abnormalities reduce their culpability. This exploratory study assessed the impact of neuroscience evidence on mock jurors' sentencing recommendations and impressions of a capital defendant. Using actual case facts, we manipulated diagnostic evidence presented by the defense (psychosis diagnosis; diagnosis and neuropsychological test results; or diagnosis, test results, and neuroimages) and future dangerousness evidence presented by the prosecution (low or high risk). Recommendations for death sentences were affected by the neuropsychological and neuroimaging evidence: defendants deemed at high risk for future dangerousness were less likely to be sentenced to death when jurors had this evidence than when they did not. Neuropsychological and neuroimaging evidence also had mitigating effects on impressions of the defendant. We describe study limitations and pose questions for further research.

Psychometric properties of a brief inventory for the screening of personality disorders: The SCATI.

The purpose of the present study was to report on the psychometric properties of a revised version of a brief inventory designed to screen and assess personality disorders. The short form of the Coolidge Axis II Inventory (SCATI) is a 70-item, self-report, form of the 250-item Coolidge Axis II Inventory (CATI). On a community sample of 588 adults (range=16-88 years), the median internal scale reliability for the 14 personality disorder scales was .66, and the median test-retest reliability (1 week) was .83. Principal components analysis (PCA) revealed a four-component structure, essentially similar to previous PCA studies of the SCATI and CATI. Good convergent validity was obtained between a five-factor model of psychopathology and the 14 SCATI personality disorder scales. Gender differences were obtained on some scales, although the effect sizes were generally small. These preliminary psychometric properties establish that the SCATI has sufficient reliability and validity to warrant further research, particularly in clinical samples.

Psychometric properties of the Coolidge Correctional Inventory in a sample of 3,962 prison inmates.

The present study reports on the preliminary psychometric characteristics of a new personality and neuropsychological, 250-item, self-report measure, the Coolidge Correctional Inventory (CCI), in an archival de-identified sample of 3,962 prison inmates. The median internal reliability for the 33 CCI scales and subscales was alpha = .79 (range: alpha = .49 to .93). A prevalence estimate, based on the polythetic criteria in DSM-IV-TR, of at least one personality disorder was 61% of the entire sample, and the prevalence of ADHD was estimated to be 16%. Drug and alcohol problems were also highly prevalent (60%). These results appear to support the preliminary reliability and validity of the CCI and also reveal a high rate of psychopathology and neuropsychological dysfunction among prison inmates.

Psychometric properties of the Beck Depression Inventory II (BDI-II) among community-dwelling older adults.

The psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-administered screening tool for depressive symptoms were examined in a sample of community-dwelling older and younger adults. Participants completed the BDI-II, the Center for Epidemiologic Studies Depression Scale, the Coolidge Axis II Inventory, the Perceived Stress Scale, and the Short Psychological Well-Being Scale. Internal reliability of the BDI-II was found to be good among older and younger adults. The average BDI-II depression score did not differ between younger and older adults. Solid evidence for convergent and discriminant validity was demonstrated by correlations between the BDI-II with the other measures. The BDI-II appears to have strong psychometric support as a screening measure for depression among older adults in the general population. Implications for using the BDI-II as an assessment instrument in behaviorally based psychotherapy are discussed.

Comparison of a parent-rated DSM-IV measure of attention-deficit/hyperactivity disorder and quantitative EEG parameters in an outpatient sample of children.

Attention-deficit/hyperactivity disorder (ADHD) was investigated using the parent-as-respondent, 200-item, Coolidge Personality and Neuropsychology Inventory (CPNI) and a quantitative electroencephalograph (QEEG). Parents of 183 children (mean age = 12.2 years) brought to an outpatient private clinic for behavioral and/or emotional problems completed the CPNI including the 18-item DSM-IV-based ADHD scale and their children were also evaluated by QEEG. The correlation between the CPNI ADHD scale T score and the categorical QEEG parameter (based on the beta-theta power ratio) for the identification of ADHD was r = -0.15. Using a dichotomous ADHD CPNI measure (positive/negative) and the QEEG beta-theta power ratio resulted in an r value of -0.09. The sensitivity of the QEEG ADHD parameter and the CPNI ADHD scale was 50% and the specificity was 36%. The results stand in contrast to those of who found 90% sensitivity and 94% specificity between behavioral measures of ADHD and the QEEG scanning procedure. The lack of correspondence between the two measures is discussed.