Location,Location, Location: Applying Spatial Statistics to the Relationship Landscape

The desire to understand relationships is a passion shared by professionals in research, clinical, and educational settings. Questionnaires are frequently used in each of these settings for a multitude of purposes—such as screening, assessment, program evaluation, or establishing therapeutic effectiveness. However, clinical issues arise when a couple's answers on questionnaires do not match clinical judgment or lack clinical utility, while statistical problems arise when data from both partners are put into analyses. This article introduces the use of geospatial statistics to analyze couple data plotted on a two‐dimensional “relational map.” Relationship maps can increase assessment sensitivity, track treatment progress, and remove statistical issues typically associated with couple data. This article briefly introduces core assumptions of spatial models, illustrates the use of spatial models in creating a relational landscape of divorce, offers suggestions for the use of relational maps in a clinical setting, and explores future research ideas.     

Multitasking in the military: Cognitive consequences and potential solutions

Multitasking—the performance of several tasks at the same time—is becoming increasingly prevalent in workplaces. Multitasking is known to disrupt performance, particularly in complex and dynamic situations, which is exactly what most military occupations entail. Because military errors can be consequential, the detrimental impact of multitasking on cognitive functioning in such contexts should be taken seriously. This review pertains to high‐consequence military occupations that require strong multitasking skills. More specifically, it highlights cognitive challenges arising from different forms of multitasking and discusses their underlying cognitive processes. Because such challenges are not expected to diminish, this review proposes context‐relevant solutions to decrease occupational workload, either by reducing the cognitive load ensuing from the to‐be‐performed tasks or by improving soldiers' multitasking abilities. To ensure effective implementation of these solutions, we stress the need to design context‐adapted tools and procedures, and to guide human resource managers in developing particular strategies.     

Reciprocal Relationships between Trajectories of Loneliness and Screen Media Use during Adolescence

Journal of Child and Family Studies - Adolescence is the peak period for loneliness. Now a ubiquitous part of the adolescent landscape, electronic screens may provide avenues for ameliorating...     

"In Search of Token Women in Academia": Some Definitions and Clarifications

This article makes an important distinction between two definitions of "token woman." In the first definition, a token woman is one of few women in a predominantly male setting. The second meaning of "Token Woman" identifies that subset of such women who have made the distinctive psychological adaptation described by Laws (1975). The methodological decisions in Young, MacKenzie, and Sherif's (1980) research are justified as based on that definitional distinction. Constantinople's critique is shown to be appropriate as an alternative to Laws' theory, but not as a criticism of our research. Alternative generational explanations for previous findings about Token Women are not supported by existing data.     

In Search of Token Women in Academia

Women faculty in predominantly male departments at a large university were interviewed and responded to paper-and-pencil instruments in a test of Laws' analysis of the necessity for the „token women” adaptation to their marginality for success in academia. By multiple criteria, three clusters were identified: (a) token women, who accepted academia as a meritocracy, were aware of little sex discrimination and belonged to no feminist group; (b) non-token women, who disagreed with academia as a meritocracy and were aware of sex discrimination; and (c) women with mixed or moderate orientations. (Membership in feminist groups was found in the latter two clusters.) Women in the three clusters did not differ significantly by academic rank or marital status and only marginally by age and longevity in academia. As predicted, however, they did differ by tenure status. Contrary to Laws' analysis, token women were not more likely to have had a sponsor, which was significantly related only to rank. Women in the three clusters were equally accurate in recognizing male-female status discrepancies. Their differing definitions of sex discrimination were revealed in differential bias when choosing among alternatives of indeterminate correctness. Token women minimized such discrepancies, in line with beliefs attributing them to women, rather than the system. Others maximized such discrepancies.
The university faculty has traditionally been a man's world, except in those fast-disappearing enclaves considered „women's fields” (e.g., home economics). Today, faculty women are tallied on affirmative action reports in columns for persons with „minority characteristics.”