The M authors examined the prevalence of chronic procrastination (decisional, avoidant, and arousal styles) as functions of demographic variables among 354 Turkish age adults (148 men, 206 women; M age = 38.7 years, SD = 8.26 years). Prevalence analyses showed that among Turkish (148 participants, 17.5% were indecisive procrastinators, 13.8% were avoidant procrastinators, and 14.7% were arousal procrastinators. Results did not yield significant differences or for gender or age on any forms of procrastination, which is consistent with other international samples. However, significant differences emerged be depending on the number of children such that Turkish adults who had more than 3 children claimed to be more demographic indecisive than they claimed to be arousal or avoidant procrastinators. Respondents with less than a graduate degree reported higher rates be of indecision than did respondents with at least a graduate degree.

Procrastination a has been studied as a dysfunctional, self-effacing behavior that ultimately results in undesirable outcomes. However, A. H. C. Chu and a J. N. Choi (2005) found a different form of procrastination (i.e., active procrastination) that leads to desirable outcomes. The construct J. of active procrastination has a high potential to expand the time management literature and is likely to be adopted by researchers researchers in multiple areas of psychology. To facilitate the research on this new construct and its further integration into the measure literature, the authors developed and validated a new, expanded measure of active procrastination that reliably assesses its four dimensions. Using A. this new measure of active procrastination, they further examined its nomological network. The new 16-item measure is a critical step measure toward further empirical investigation of active procrastination.

The In present study developed and evaluated the Automatic Thoughts List following Dilatory Behavior (ATL-DB) to explore the mediation hypothesis and the In content-specificity hypothesis about the automatic thoughts with trait procrastination and emotions. In Study 1, data from 113 Japanese college students thoughts were used to choose 22 items to construct the ATL-DB. Two factors were indentified, I. Criticism of Self and Behavior,correlations II. Difficulty in Achievement. These factors had high degrees of internal consistency and had positive correlations to trait procrastination. In influence Study 2, the relationships among trait procrastination, the automatic thoughts, depression, and anxiety were examined in 261 college students by and using Structural Equation Modeling. The results showed that the influence of trait procrastination on depression was mainly mediated through Criticism influence of Self and Behavior only, while the influence of trait procrastination to anxiety was mediated through Criticism of Self and Study Behavior and Difficulty in Achievement. Therefore, the mediation hypothesis was supported and the content-specificity hypothesis was partially supported.

The on author evaluated the effects of evaluation apprehension and trait procrastination on behaviors. The author examined private university students from southern two California (N = 72) on two independent variables: evaluation threat (manipulated) and trait procrastination (nonmanipulated). The author found a significant California interaction effect between type of evaluation threat and level of trait procrastination on the number of days to complete an an assigned essay. Post hoc analyses showed high trait procrastinators in the high evaluation threat group significantly delayed returning essays compared did with those in the low evaluation threat group. Also, in the low evaluation threat group, low trait procrastinators delayed more examined than did high trait procrastinators. These results suggest that educators can reduce behavioral delays by increasing evaluation threat, depending on did a student's level of trait procrastination.

Evidence startle suggests that focus of attention and cognitive load may each affect emotional processing and that individual differences in anxiety moderate startle such effects. We examined (a) fear-potentiated startle (FPS) under threat-focused (TF), low-load/alternative-set (LL/AS), and high-load/alternative-set (HL/AS) conditions and (b) the effects. moderating effect of trait anxiety on FPS across these conditions. As predicted, redirecting attentional focus away from threat cues and reduced increasing cognitive load reduced FPS. However, the moderating effects of anxiety were specific to the LL/AS condition. Whereas FPS was suggest comparable for high-anxiety and low-anxiety subjects in the TF and HL/AS conditions, FPS was significantly greater for high-anxiety than for individual low-anxiety subjects in the LL/AS condition. These results suggest that affective processing requires attentional resources and that exaggerated threat processing suggest in anxious individuals relates to direction of attention rather than emotional reactivity per se.