Money Over Marriage: Marriage Importance as a Mediator Between Materialism and Marital Satisfaction

While the negative relationship between materialism and marital satisfaction is well documented, mediators that possibly explain this association have not been widely explored. Based on the Incompatibility of Materialism and Children Model and Marital Paradigms Theory, this article explores the perception of marriage importance as a potential mediator between materialism and marital satisfaction. Using a sample of 1310 married individuals, we found evidence of partial mediation in that materialism was negatively associated with perception of marriage importance, and this association partially explained why being materialistic was associated with lower marital satisfaction. Thus, as counselors, therapists, and financial planners work with married clients, it is important that they consider how their clients’ materialistic tendencies may influence the family both financially and relationally. Suggestions for future research are discussed.     

“The words of my mouth,and the meditation of my heart”: The mindset of gamblers revealed in their language

The colorful language of gambling and gaming is essential to creating the players' world; in analyzing it we understand that world. This fringe vocabulary or slanguage is examined in connection with standard language, and is analyzed for its origins, its humor, and for the attitudes it expresses and transmits. This language is seen as a neglected indicator ofl'histoire de mentalité, the mindset of gamblers. It is also suggested that other factors—body language, paralanguage, stock expressions composed of standard words (jokes, catch phrases, etc.)-hold clues to the outlook, superstitions, behavior, the rational and irrational beliefs of gamblers.     

How Local Social Movement Groups Handle a Presidential Election

How do local social movement groups respond to national electoral politics? Previous studies, often based on aggregated data on public protests, focus on the effects of elections on established social movement organizations (SMOs). Some find that SMOs flourish during election years, taking advantage of the political opportunities that elections pose. Others conclude that elections hurt SMOs, siphoning members and resources. Using ethnographic, in-depth interview, and document data on new and emerging social movement groups (SMGs) in Pittsburgh for 20 months before and after the 2004 U.S. presidential election, we examine how members think about elections and whether and how groups decide to respond to national electoral campaigns. We find that SMGs vary considerably in the strategies of action or inaction they adopt, depending on their changing sense of whether the election poses an opportunity or a threat to the group and that these strategies of action are patterned in path-dependent sequences. We conclude with a discussion of the possibilities for integrating concepts of path-dependency and timing into social movement research.     

Measuring Measurement Error in Economic Time Series

A spectral decomposition method is described for obtaining an upper bound on the amount of measurement error in a time series. The method is applied to generated data and to M1b, real GNP, and the CPI. The bounds provide insight into both the amount of measurement error in these series and the stochastic specification of the errors.     

Managing organizational change—A strategic approach

Developing the competence, commitment and capacity for change of people is a vital element in the creation and maintenance of competitive advantage and should be an integral part of the strategic equations and business plans of any firm. This theme, examples of ‘good’ practice, and strategies to implement a strategic approach to people have been explained and developed in a brief case ‘action pack’ produce by the authors of this article for the MSC and NEDO. Key factors identified in the development of the three ‘C’s are effective leadership, involvement and good employee communications, stress on performance management, appropriate reward systems and training and development.     

Paid maternal leave is associated with better language and socioemotional outcomes during toddlerhood

The United States is the only high-income country that does not have a national policy mandating paid leave to working women who give birth. Increased rates of maternal employment post-birth call for greater understanding of the effects of family leave on infant development. This study examined the links between paid leave and toddler language, cognitive, and socioemotional outcomes (24–36 months; N = 328). Results indicate that paid leave was associated with better language outcomes, regardless of socioeconomic status. Additionally, paid leave was correlated with fewer infant behavior problems for mothers with lower levels of educational attainment. Expanding access to policies that support families in need, like paid family leave, may aid in reducing socioeconomic disparities in infant development.     

Hiding in plain sight: Dehumanization as a foundation of white racial prejudice

In the media, during sporting events, in online forums, and in interpersonal interactions, whites often portray Black people as animals, especially as apes or monkeys. In this essay we consider what contemporary research on prejudice in American politics has to say about these dehumanizing portrayals of Black people. We argue that contemporary political science work has not done enough to understand both the historical roots and the continuing practices of whites' dehumanization of Black people, to the detriment of an accurate understanding of racial attitudes in the United States. To rectify this omission, we draw on the work of historians to map out a brief overview of race-making and the dehumanizing attitudes that shaped this process. Then, we review political science literature on contemporary white attitudes toward Black people, emphasizing connections between prevailing conceptions of these attitudes and long-standing processes of dehumanization. We conclude by charting directions for future scholarship; we seek to unsettle the mainstream of a subfield dominated by mild conceptions of racial attitudes.     

Effectiveness of Job Aids and Post Performance Review on Staff Implementation of Discrete Trial Instruction

Discrete-trial instruction (DTI) is a well-established instructional method for teaching children with autism. Accurate implementation of DTI procedures requires that staff be well trained. This study examined the effectiveness of job aids followed by post performance review of strengths, errors, and accuracy on discrete trial instructional accuracy in three participants who conducted DTI within their current job positions. Additionally, primary training procedures were embedded within a meta-shaping procedure, which involved the gradual and systematic introduction of three levels of behavioral components required for accurate implementation of the DTI sequence with mastery criteria set at 90% accuracy across all three levels. As demonstrated in a changing criterion within a multiple baseline design, staff demonstrated increases in DTI accuracy following the initiation of the job aid condition; however, some degree of performance-based feedback was required to establish high levels of procedural fidelity across the DTI sequence. Performance accuracy on maintenance probes remained at high levels. These findings provide support that job aids followed by performance-based feedback may be an effective and efficient method for shaping high levels of DTI procedural fidelity in staff. Additionally, gradual shaping of the DTI accuracy may scaffold performance, minimize errors, and increase social validity.     

A Data‐Driven Inventory Control Policy for Cash Logistics Operations: An Exploratory Case Study Application at a Financial Institution

A number of market changes are impacting the way financial institutions are managing their automated teller machines (ATMs). We propose a new class of adaptive data‐driven policies for a stochastic inventory control problem faced by a large financial institution that manages cash at several ATMs. Senior management were concerned that their current cash supply system to manage ATMs was inefficient and outdated, and suspected that using improved cash management could reduce overall system cost. Our task was to provide a robust procedure to tackle the ATM's cash deployment strategies. Current industry practice uses a periodic review system with infrequent parameter updates for cash management based on the assumption that demand is normally distributed during the review period. This assumption did not hold during our investigation, warranting a new and robust analysis. Moreover, we discovered that forecast errors are often not normally distributed and that these error distributions change dramatically over time. Our approach finds the optimal time series forecaster and the best‐fitting weekly forecast error distribution. The guaranteed optimal target cash inventory level and time between orders could only be obtained through an optimization module that was embedded in a simulation routine that we built for the institution. We employed an exploratory case study methodology to collect cash withdrawal data at 21 ATMs owned and operated by the financial institution. Our new approach shows a 4.6% overall cost reduction. This reflects an annual cost savings of over $250,000 for the 2,500 ATM units that are operated by the bank.