Regret, Valuation, and Inaction Inertia

In three experiments we sought to determine the cause of the “inaction inertia” effect, which occurs when bypassing an initial opportunity decreases the likelihood that a subsequent similar action will be taken. Experiment 1 required some participants to estimate their likelihood of buying shoes as a function of the magnitude and geographical location of an earlier forsaken bargain; others estimated their amount of regret over failing to take advantage of the bargain. The inverse relation between regret and propensity to buy strongly implicated regret as the cause of inaction inertia. In Experiment 2 we found evidence that experienced regret over having missed an earlier bargain rather than anticipated regret over paying too much for the subsequent purchase was the source of our participants' inaction inertia. In Experiment 3 we demonstrated through a mediational analysis that those who had missed a large bargain placed a significantly lower value on the subsequent purchase opportunity than those who earlier had missed a more modest bargain. This difference in valuation, along with experienced regret, are two factors which play a significant mediational role in the inaction inertia effect.     

Methodological and computational considerations for multiple correlation analysis

The squared multiple correlation coefficient has been widely employed to assess the goodness-of-fit of linear regression models in many applications. Although there are numerous published sources that present inferential issues and computing algorithms for multinormal correlation models, the statistical procedure for testing substantive significance by specifying the nonzero-effect null hypothesis has received little attention. This article emphasizes the importance of determining whether the squared multiple correlation coefficient is small or large in comparison with some prescribed standard and develops corresponding Excel worksheets that facilitate the implementation of various aspects of the suggested significance tests. In view of the extensive accessibility of Microsoft Excel software and the ultimate convenience of general-purpose statistical packages, the associated computer routines for interval estimation, power calculation, a nd samplesize determination are alsoprovided for completeness. The statistical methods and available programs of multiple correlation analysis described in this article purport to enhance pedagogical presentation in academic curricula and practical application in psychological research.     

Background luminance and input devices on clicking performance with a tablet PC

This study investigated the effects of input devices and background luminance on clicking performance with a Tablet PC. The experiment was designed in complete block design within subjects. Participants were 19 men and 11 women, college students whose ages were 19 to 22 years (M=20.1 yr.). All had 0.8 corrected visual acuity or better and normal color vision. Three kinds of input devices, mouse, light pen, and touchpad, were used in this experiment. An analysis of variance showed that input devices significantly affected clicking performance as did background luminance (contrast ratio) on visual recognition (a higher contrast ratio gave better visual recognition).     

The Interaction Between Conscientiousness and General Mental Ability: Support for a Compensatory Interaction in Task Performance

Journal of Business and Psychology - We propose a compensatory interactive influence of conscientiousness and GMA in task performance such that conscientiousness is most beneficial to performance...     

The Predictors of Suicidality in Previous Suicide Attempters following Case Management Services

Suicide attempts constitute a serious clinical problem. People who have attempted suicide are at an elevated risk for additional suicide attempts, but there is limited evidence regarding the predictors of suicidality of suicide attempters following case management services. In the present study the indicators of suicidality after case management were examined. A total of 1,056 subjects who had recently attempted suicide were recruited from January 1, 2011, to June 30, 2011. The suicide prevention center of Kaohsiung City in Taiwan provided case management services and followed up on suicide attempt cases for 6 months. The salient factors for repeat suicide attempts were estimated using a logistic regression analysis. The results showed that multiple factors, including a “willingness to receive mental health services during a crisis,” “social support,” “a history of mental disorders,” and “a history of suicide,” could predict repeat suicide attempts with hazard ratios (0.58, 0.54, 3.84, 1.51) and 95% confidence interval (0.39–0.86, 0.36–0.83, 2.41–6.10, 1.03–2.21). The four factors mentioned above were the most accurate predictors of subsequent suicidality when case management services were utilized after 6 months of follow‐up. The findings of our study could help clarify future strategies for suicide prevention.