Epistemology and the law: why there is no epistemic mileage in legal cases

Philosophical Studies - The primary aim of this paper is to defend the Lockean View—the view that a belief is epistemically justified iff it is highly probable—against a new family of...     

Exploring the psychometric properties of the CES-D-10 and its practicality in detecting depressive symptomatology in 27 low- and middle-income countries

The Center for Epidemiological Studies Depression-10 (CES-D-10) scale is known for its good psychometric properties in measuring depressive symptoms, however, some researchers question its applicability across various settings. This study explored the factor structure of the CES-D-10 in low- and middle-income countries (LMICs). This cross-sectional survey consisted of 16,723 university students across 27 LMICs that completed self-report instruments assessing socio-demographic information and depressive symptoms using the CES-D-10. Data analysis included: exploratory factor analysis, item response theory and differential item functioning. Results indicate that a two-factor model (depressive affect and positive affect) had the best fit for this population and accounted for 52% of the total observed variance with an internal consistency, α = .77 for the depressive affect items and α = .57 for the positive affect items. The graded response model (GRM), however, indicated that the depressive affect factor had a good fit, unlike the positive affect factor. The depressive affect factor was found to consistently model depression for females better than males. Relative to their Asian counterparts, African, Caribbean and South American participants of similar depressive affect responded differently on all items of the depressive affect factor. The depressive affect factor seems most ideal for LMICs and shows gender and cross-cultural variability.     

Integrating stage and continuum models to explain processing of exercise messages and exercise initiation among sedentary college students.

Concepts from the transtheoretical model (J.O. Prochaska, C.C. DiClemente, & J.C. Norcross, 1992), theory of planned behavior (I. Ajzen, 1985), and the elaboration likelihood model (R.E. Petty & J.T. Cacioppo, 1986b) were used to examine how exercise readiness impacted processing of exercise messages and exercise initiation. Sedentary college students (n = 147) were assessed for exercise attitude, intent, behavior, and stage of change. Students also listed their thoughts after reading messages with either strong or weak arguments for exercise. Attitude predicted depth of message processing, but stage of change did not. Stage of change and intent at baseline predicted exercise adoption at 1- to 3-month follow-up (n = 134), with baseline activity moderating the effect of intent. Tailoring messages to recipients' depth of processing and interactive effects of intent and behavior on exercise adoption should be considered in future research.     

Do individual differences in intolerance of uncertainty affect health monitoring?

Researchers have postulated that individual differences in intolerance of uncertainty (IU) may affect people's health behaviours. Study 1 (N?=?147 university students) supports this proposition showing that higher IU is associated with higher monitoring (seeking threat-relevant information). Study 2 (N?=?117 university students) experimentally manipulated IU to ensure that the association is not due to other related constructs such as anxiety or worry. Results show that inducing high IU led to increased monitoring as reflected by higher scores on an index of monitoring measures. Wanting information about the health threat in order to reduce their uncertainty was an independent predictor of monitoring and did not mediate the relationship between IU and monitoring. Findings suggest that high IU induces people to increase their monitoring; an adaptive strategy when the health threat can be reduced through this behaviour.