Career optimism: The roles of contextual support and career decision-making self-efficacy

Drawing from the social cognitive theory (Bandura, 1986), we examined the role of parental support, teacher support, and career decision-making self-efficacy as sources of career optimism. We tested our proposed model using 235 computer science majors from a large university in the Philippines. Surveys were conducted over two measurement periods (1 year apart). Results revealed that Time 1 parental and teacher support were positively associated with Time 2 career optimism. Furthermore, we found that these direct relationships were fully mediated by Time 1 career decision-making self-efficacy. These results remained significant even after controlling for neuroticism and past performance. Theoretical and practical implications are discussed.     

Chaotic-Enmeshment and Anxiety: The Mediating Role of Psychological Flexibility and Self-Compassion

With anxiety becoming the most prevalent mental health issue among the college student population, it is important to understand the factors that are associated with symptomology. This study aims to expand the research on the interrelationship between family functioning, intrapsychic factors, and anxiety. Guided by the circumplex model of family systems, the current study explores the link between college student (N?=?500) chaotically-enmeshed family functioning and anxiety, and whether psychological flexibility and self-compassion mediate this relationship. Multiple-sample latent structural equation modeling results revealed that higher levels of chaotically-enmeshed family functioning was significantly associated with lower levels of psychological flexibility and self-compassion levels, and that psychological flexibility and self-compassion mediated the relationship between chaotic-enmeshment and anxiety. Implications for family therapists who provide services to this population are discussed.     

The problem of religious evil: Does belief in god cause evil?

Daniel Kodaj has recently developed a pro-atheistic argument that he calls “the problem of religious evil.” This first premise of this argument is “belief in God causes evil.” Although this idea that belief in God causes evil is widely accepted, certainly in the secular West, it is sufficiently problematic as to be unsuitable as a basis for an argument for atheism, as Kodaj seeks to use it. In this paper I shall highlight the problems inherent in it in three ways: by considering whether it is reasonable to say that “belief in God” causes evil; whether it is reasonable to say that belief in God “causes” evil; and whether it is reasonable to say that belief in God causes “evil.” In each case I will argue that it is problematic to make such claims, and accordingly I will conclude that the premise “belief in God causes evil” is unacceptable as it stands, and consequently is unable to ground Kodaj’s pro-atheistic argument.     

A comparison of analysis methods to estimate contingency strength

To date, several data analysis methods have been used to estimate contingency strength, yet few studies have compared these methods directly. To compare the relative precision and sensitivity of four analysis methods (i.e., exhaustive event‐based, nonexhaustive event‐based, concurrent interval, concurrent+lag interval), we applied all methods to a simulated data set in which several response‐dependent and response‐independent schedules of reinforcement were programmed. We evaluated the degree to which contingency strength estimates produced from each method (a) corresponded with expected values for response‐dependent schedules and (b) showed sensitivity to parametric manipulations of response‐independent reinforcement. Results indicated both event‐based methods produced contingency strength estimates that aligned with expected values for response‐dependent schedules, but differed in sensitivity to response‐independent reinforcement. The precision of interval‐based methods varied by analysis method (concurrent vs. concurrent+lag) and schedule type (continuous vs. partial), and showed similar sensitivities to response‐independent reinforcement. Recommendations and considerations for measuring contingencies are identified.