This study investigates the use of response guidance for errorless learning of a perceptual motor task in normal elderly. It provides normative data for a study with stroke patients using this technique for cognitive rehabilitation. While errorless learning has been shown to be more effective on most tasks than trial and error learning for people with memory impairments, its use with normal individuals has received limited attention. The questions of interest were whether errorless training of the perceptual motor task was more effective for improving and retaining accuracy; and whether both accuracy and response speed were more resistant to the effects of increased cognitive demands. A sample of 43 normal elderly in the United Kingdom, ranging in age from 60 to 77, completed an assessment of intelligence, memory, and attention. They then received training, over two sessions one week apart, to mark the midpoint of Judd Arrows presented on a computer screen using a cross cursor moved by an active force feedback joystick (AFF). During training the errorless group received AFF guidance to the correct midpoint, while the errorful group received none, and both received auditory and visual knowledge of results. There was no AFF during baseline or post test …

Psychopathy continues to receive increased attention due to the negative outcomes, including recidivism, violence, and poor treatment amenability. Despite the vast amount of attention psychopathy has received, research on its applications to mentally disordered offenders remains sparse. The current study explored the relationship between psychopathy, depression, anxiety, and psychotic disorders. It also investigated the comparative fits of two and three-factor models of the PCL-R with mentally disordered offenders. Participants consisted of 96 inmates placed in the mental health pod at Tarrant County Jail. A Confirmatory Factor Analysis (CFA) with testlets found the three-factor PCL-R model had excellent fit (Robust Comparative Fit Index = 1.00). Psychopathy was found to be a construct independent of mental disorders. Two exceptions were (a) a modest correlation between anxiety and Impulsive and the Irresponsible Lifestyle factor of the PCL-R (r = 0.20) and (b) a modest negative correlation between Deficient Affective Experience of the PCL-R and mania (r = -.37). Based on the current data, treatment programs for mentally disordered offenders are suggested that focus on both behavioral and personality aspects of psychopathy.

College success, as defined by adjustment to college and academic performance, is a multidetermined with a number of contributing influences, including academic factors, personality variables, family characteristics, and environmental factors. This study attempted to provide an organizing model of the college success literature that was based on previous research (e.g., Aspinwall & Taylor, 1994) and current stress-coping theory (Moos & Swindle, 1990). Structural equation modeling analyses indicated that the hypothesized model did not fit the data well. However, subsequent regression analyses did validate the view that college success is multidetermined. Specifically, academic performance was predicted by a combination of academic factors (SAT score and class rank) and academic adjustment. In turn, academic adjustment was predicted by locus of control, perceived social support, and high school class rank. Personal adjustment was predicted by coping strategies employed, parents who fostered autonomy, locus of control, self-esteem, and high school class rank. Finally, social adjustment was predicted by optimism, coping strategies employed, and locus of control. Treatment implications as well as directions for future research were discussed.

Women are a significant presence in today's workforce; however, few rise to the top management ranks. Therefore, there is a critical need to better understand the factors that facilitate their success. This study examined several variables that may contribute to women's objective (income, span of control, promotions) and subjective (self-reported satisfaction) success. Predictive variables include human capital (training, experience), individual (perception of promotability, motivation for training), organizational (supervisor gender, percentage of male subordinates) and power (extent of supervisory authority) factors. Participants were members of the National Longitudinal Surveys Young Women cohort, conducted by the Bureau of Labor Statistics. Data were analyzed through simultaneous multiple regression analysis, and the results indicated that education was significantly related to income for all women. For women in management positions, their degree of supervisory power was also predictive of higher income, yet negatively associated with job satisfaction. Further, their span of control was positively influenced by the amount of time they spent in on-the-job training. The implications for women's career advancement, study limitations, and future research possibilities are also discussed.

This study investigated relationships of age, gender, and supervisor level with job satisfaction, organizational commitment, stress perception, and turnover intention. The demographics were hypothesized to moderate the stress-satisfaction and commitment-turnover relationships. Hypotheses were tested using both parametric and non-parametric bootstrap methods. Subjects were taken from a national survey of 2,663 public sector IT workers. Missing data were imputed using NORM software. Ordinary least squares (OLS) regression indicated a significant direct effect from all main variables and covariates, except for age on turnover intent. No mediating effects were found. Age-Commitment was the only significant higher order modifier relationship, although Gender-Commitment explained substantial variance. LMG statistic results enabled the predictors to be rank ordered with confidence intervals. Best subset bootstrap regression explored all possible predictor orders to confirm which model explained the most variance. The original model and predictor sequence were confirmed. The bootstrap AIC statistic provided a model which maximized explained variance while optimizing parsimony. Since only age had a mediating effect, Hypotheses 1 and 2 were not supported. All other hypotheses were partially confirmed.