The Untold Story of Clare and Donald Winnicott: How Social Work Influenced Modern Psychoanalysis

While the work of Donald Winnicott is well-known to clinical social workers, most are unaware of his rich professional collaboration with his second wife, Clare, a pioneering social worker analyzed by Melanie Klein who worked in child welfare, academia, government service, and psychoanalysis. This paper will review their work and lives together, outlining how their relationship expanded Donald's horizons in exploring the interface between psyche and environment.     

Nonparametric Instrumental Variables Estimation of a Quantile Regression Model

We consider nonparametric estimation of a regression function that is identified by requiring a specified quantile of the regression “error” conditional on an instrumental variable to be zero. The resulting estimating equation is a nonlinear integral equation of the first kind, which generates an ill‐posed inverse problem. The integral operator and distribution of the instrumental variable are unknown and must be estimated nonparametrically. We show that the estimator is mean‐square consistent, derive its rate of convergence in probability, and give conditions under which this rate is optimal in a minimax sense. The results of Monte Carlo experiments show that the estimator behaves well in finite samples.     

Sum of a Random Number of Correlated Random Variables that Depend on the Number of Summands

The mean and variance of a sum of a random number of random variables are well known when the number of summands is independent of each summand and when the summands are independent and identically distributed (iid), or when all summands are identical. In scientific and financial applications, the preceding conditions are often too restrictive. Here, we calculate the mean and variance of a sum of a random number of random summands when the mean and variance of each summand depend on the number of summands and when every pair of summands has the same correlation. This article shows that the variance increases with the correlation between summands and equals the variance in the iid or identical cases when the correlation is zero or one.     

Development and Psychometric Evaluation of a 10-Item Short Form Inventory of Gambling Situations

The Inventory of Gambling Situations (IGS-63; Turner and Littman-Sharp, Inventory of gambling situations users guide, 2006) is a 63-item measure of high-risk gambling situations. It assesses gambling across 10 situational subscales that load onto two higher-order factors: negative and positive situations (Stewart et al. Psychology of Addictive Behaviors, 22:257–268, 2008). While the IGS-63 has excellent psychometric properties (Littman-Sharp et al., The Inventory of Gambling Situations: Reliability, factor structure, and validity (IGS Technical Manual), in press) its length may preclude its use in time-limited contexts. The purpose of this study was to develop and validate a 10-item short-form of the IGS (IGS-10). Each IGS-10 item reflects one of the ten subscale categories from the IGS-63, with two items from the original subscales included as examples for each IGS-10 item. The IGS-10 was administered to 180 undergraduate gamblers along with the IGS-63 and the Problem Gambling Severity Index (PGSI; Ferris and Wynne, Canadian Problem Gambling Index: Final report, 2001). IGS-10 items showed convergent validity with the corresponding IGS-63 subscales (r’s = .60–.73). Principal components analysis of the IGS-10 revealed two factors: negative (α = .84) and positive (α = .85). PGSI scores correlated significantly with all IGS-10 items (r’s = .33–.58) and with both IGS-10 higher-order subscales (r’s = .66 [negative] and .49 [positive]), supporting the criterion validity of the IGS-10. Since minimal information is lost when using the IGS-10, the short form may prove particularly useful when respondent burden prevents using the full IGS-63.     

The effects of labor market segmentation on economic resources in retirement

Longitudinal data from the Panel Study of Income Dynamics are used to explore the determinants of economic resource levels among recently retired workers. Three income determination models are used to examine significant predictors of economic status using a broad measure of economic well being that includes both retirement income and wealth. Findings indicate that variables used in status attainment, human capital, and labor market segmentation models explain substantial amounts of variance. Applying these models to the longitudinal data provide suggestive information about the crucial life-span characteristics and circumstances that determine economic status as workers enter retirement.     

Symposium: Neuroergonomics, technology, and cognition

This symposium describes collaborative research on neuroergonomics, technology, and cognition being conducted at George Mason University and the US Air Force Research Laboratory (AFRL) as part of the Center of Excellence in Neuroergonomics, Technology, and Cognition (CENTEC). Six presentations describe the latest developments in neuroergonomics research conducted by CENTEC scientists. The individual papers cover studies of: (1) adaptive learning systems; (2) neurobehavioral synchronicity during team performance; (3) genetics and individual differences in decision making; (4) vigilance and mindlessness; (5) interruptions and multi-tasking; and (6) development of a simulation capability that integrates measures across these domains and levels of analysis.     

Development of Sexual Expectancies among Adolescents: Contributions by Parents,Peers and the Media

To expand the scant research on sexual expectancies development among non–sexually active adolescents, we examined the relationship between adolescents' exposure to four socializing agents—mother/female guardian, father/male guardian, peers, and television programs with high sexual content—and their endorsement of four sexual expectancies: social benefit, pleasure, social risk, and health risk. Data are from Waves 2 and 3 of a three-wave annual longitudinal study conducted among California adolescents, the majority of whom were not sexually active (N = 914, 84%). Structural equation models were conducted to examine cross-sectional and longitudinal associations between the socializing agents and the sexual expectancies. Cross-sectional results indicate associations between peer sexual communication and social benefit, pleasure, and social risk expectancies. A positive association was found between exposure to music videos and social benefit expectancies, and a negative association was found between exposure to music videos and health risk expectancies. Longitudinal results suggest that communication with peers positively predicted pleasure expectancies and negatively predicted social risk expectancies. No other socializing agents were associated with any sexual expectancies. An invariance test found that significant correlations were similar across the different age groups. Results suggest that efforts to support positive sexual decision making among non–sexually active adolescents should target peer sexual communication.