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.     

Racial Representation and U.S. Senate Apportionment*

Objectives. This research note explores whether the system of assigning each state equal representation in the U.S. Senate adversely affects racial minorities, groups that often have common political interests. We also project changes in minority representation over the next 20 years using Census data. Methods. We develop a new method of assessing racial bias due to apportionment, which calculates the number of seats lost by groups due to equal representation, a more substantively meaningful statistic than correlational measures. Results. We find that both African Americans and Hispanics are substantially underrepresented due to their greater presence in high‐population states as compared to in low‐population states. Whereas bias against African Americans appears to be falling, the demographic patterns of Hispanics will make them even more underrepresented in coming years. Conclusions. These findings are especially consequential considering that malapportionment has important public policy implications, including greater per‐capita distributive benefits for smaller states. Further, given that the Senate serves as a major veto point in U.S. politics, racial bias due to equal apportionment may have a significant impact on current and future political debates relevant to minority groups.     

Reducing Prejudice Within Community-Based Organizations

ABSTRACT

Efforts to help community-based organizations (CBOs) develop interventions that reduce prejudice within the workplace and during service provision can be informed by social psychological prejudice reduction techniques, which tend to be successful in controlled laboratory settings but have limitations that inhibit utility in applied settings. Alternatively, the use of diversity training to reduce prejudice has increased within the for-profit sector, but is rarely applied to CBOs. This article discusses the overlap between the basic and applied literatures, and how community practitioners can use the information gained from both to support CBOs who encounter challenges with diversity.     

Efficient Semiparametric Estimation of the Fama–French Model and Extensions

This paper develops a new estimation procedure for characteristic‐based factor models of stock returns. We treat the factor model as a weighted additive nonparametric regression model, with the factor returns serving as time‐varying weights and a set of univariate nonparametric functions relating security characteristic to the associated factor betas. We use a time‐series and cross‐sectional pooled weighted additive nonparametric regression methodology to simultaneously estimate the factor returns and characteristic‐beta functions. By avoiding the curse of dimensionality, our methodology allows for a larger number of factors than existing semiparametric methods. We apply the technique to the three‐factor Fama–French model, Carhart's four‐factor extension of it that adds a momentum factor, and a five‐factor extension that adds an own‐volatility factor. We find that momentum and own‐volatility factors are at least as important, if not more important, than size and value in explaining equity return comovements. We test the multifactor beta pricing theory against a general alternative using a new nonparametric test.     

Boomer Matters: Responding to Emotional Health Needs in an Aging Society

This study explores baby boomer-aged adults’ experiences accessing an emotional health program (EHP) in a community-based seniors’ center, examining differences between it and an older cohort of users. Data generation includes client-based surveys (n=118), in-depth qualitative interviews (n=20) with client users and professionally-trained counselors (n=2), and a focus group with peer support service worker (n=14). Key findings suggest EHPs as a preventative strategy to address familial abuse, the need for education and support on sexual health and dating, and the need to combat ageism to improve access. Community-based seniors’ centers as a cost-effective approach to health promotion is also highlighted.     

The Role of Nonprofit Management Support Organizations in Sustaining Community Collaborations

This articles uses case studies to explore the theory that nonprofit management support organizations (MSOs) should consider taking on the role of convener and facilitator of community collaborations. They can do this work by facilitating planning and change and providing data to inform decisions about how to improve communities. In acting as a community support organization, their primary mission would be to build the capacity of all sectors to work together to solve social problems rather than simply to build the management capacity of individual nonprofit organizations.     

Measurement biases in user involvement research

Considerable research has been conducted to demonstrate user involvement's effect on information system success. User involvement and system success typically have been measured by asking users for their perceptions of these variables. This paper reports on a field study conducted to investigate the possibility that this approach to measuring study variables tends to overstate the benefits of user involvement. The link of user involvement to user satisfaction is found to be significantly weaker when user involvement is assessed by systems analysts than when it is self reported. Further, this difference is found to be greater for systems with few users than for systems with many users. The findings suggest that common method variance and self-serving bias may have overstated the apparent benefits of user involvement in past research on information systems. Suggestions for future research are presented.     

Grandparents Raising Grandchildren: Formation,Disruption and Intergenerational Transmission of Attachment

Abstract

Nationally and internationally, grandparents support their children and grandchildren by caring for those children who may be at risk in their own home, often in the contemporary context for extended periods. Attachment theory provides a framework to consider how the lives of children, parents and grandparents are affected when grandchildren come to live with their grandparents, whether it be on a shared basis or as a long-term arrangement. The concept also provides a guide to supporting each generation in the contemporary context, as formal or informal arrangements.