Insights from the Evaluation of Past Local Area Population Forecasts

Local area population forecasts have a wide variety of uses in the public and private sectors. But not enough is known about the errors of such forecasts, particularly over the longer term (20 years or more). Understanding past errors is valuable for both forecast producers and users. This paper (i) evaluates the forecast accuracy of past local area population forecasts published by Australian State and Territory Governments over the last 30 years and (ii) illustrates the ways in which past error distributions can be employed to quantify the uncertainty of current forecasts. Population forecasts from the past 30 years were sourced from State and Territory Governments. Estimated resident populations to which the projections were compared were created for the geographical regions of the past projections. The key features of past forecast error patterns are described. Forecast errors mostly confirm earlier findings with regard to the relationship between error and length of projection horizon and population size. The paper then introduces the concept of a forecast ‘shelf life’, which indicates how far into the future a forecast is likely to remain reliable. It also illustrates how past error distributions can be used to create empirical prediction intervals for current forecasts. These two complementary measures provide a simple way of communicating the likely magnitude of error that can be expected with current local area population forecasts.     

Quality of Life in Intentional Communities

The present study was initiated to investigate levels and predictors of wellbeing among inhabitants of intentional communities (ICs). An anonymous, Internet-based questionnaire was distributed to US and Canadian ICs. Responses were obtained from 913 members. Wellbeing was measured by the widely used satisfaction with life scale (SWLS). Hierarchical linear regression analyses were run to test the predictive validity of Social support, Identity fusion, Meaning in life, Community satisfaction and Life change, and Religious activity above and beyond demographic variables and personality traits. Mean scores on the SWLS were estimated to 5.27 and 5.47 (1–7 scale) for men and women, respectively. The full model explained 41.4% of the variance for men and 38.2% for women. Personality explained 13.4 (men) and 14.4% (women) of the variation, while demographic variables only had a minor impact. Overall, presence of Meaning in life and Social support were the most important predictors. The IC inhabitants reported wellbeing on par with the highest scores previously published. The findings support the contention that sustainability, in the form of a communal lifestyle of low ecological footprint, may be promoted without forfeiting wellbeing.     

Breadwinning and bread‐losing: Exploring opportunities to rework manhood

Manhood in the USA today is at a crossroads. There are more models of how to be a man than ever before. And yet, despite myriad changes to the structures of work and family, the breadwinner ideology, or the heterogendered ideal that husbands should be the sole or primary earners in their families, persists in US society. This ideology affects the structure of work and family, regardless of whether individual people agree with it. Here, we discuss the breadwinner ideology and the ways that this meaning system tethers employment to masculinity and vice versa. We examine strategies for decoupling manhood from work and family and suggest ways to facilitate the undoing of gender.     

A Psychometric Comparison of Three Scales and a Single-Item Measure to Assess Sexual Satisfaction

This study was designed to systematically compare and contrast the psychometric properties of three scales developed to measure sexual satisfaction and a single-item measure of sexual satisfaction. The Index of Sexual Satisfaction (ISS), Global Measure of Sexual Satisfaction (GMSEX), and the New Sexual Satisfaction Scale–Short (NSSS-S) were compared to one another and to a single-item measure of sexual satisfaction. Conceptualization of the constructs, distribution of scores, internal consistency, convergent validity, test-retest reliability, and factor structure were compared between the measures. A total of 211 men and 214 women completed the scales and a measure of relationship satisfaction, with 33% (n = 139) of the sample reassessed two months later. All scales demonstrated appropriate distribution of scores and adequate internal consistency. The GMSEX, NSSS-S, and the single-item measure demonstrated convergent validity. Test-retest reliability was demonstrated by the ISS, GMSEX, and NSSS-S, but not the single-item measure. Taken together, the GMSEX received the strongest psychometric support in this sample for a unidimensional measure of sexual satisfaction and the NSSS-S received the strongest psychometric support in this sample for a bidimensional measure of sexual satisfaction.     

Exchanging Views: Knowledge Transfer Through Literary Translation

Translation supports cultural interaction by fostering mutual understanding and enabling people to access foreign cultures. Logically, translation also furthers knowledge transfer in a broad sense. Drawing on recent scholarship that focuses on the migration and mobility of literary products (Damrosch, 2003; Casanova, 2004), this article seeks to show that the knowledge generated by both the practice of translation and the interdisciplinary area of Translation Studies is a key factor in shaping the image of a national culture.     

Patterns of Nonverbal Behavior Associated with Truth and Deception: Illustrations from Three Experiments

The digital age has brought with it new and powerful computer-based methods of analyzing heretofore elusive patterns of nonverbal behavior. C-BAS (Meservy 2010) is a computer-assisted behavioral observation tool for identifying and tracking nonverbal behaviors from video. THEME (Magnusson, The hidden structure of interaction: from neurons to culture patterns, IOS Press, Amsterdam, pp 4–22, 2005) is a software program that discovers patterns among discrete events in time-ordered data. Together, these tools enable more precise measurement and analysis of nonverbal behavioral dynamics. Applications to three corpora derived from interpersonal deception experiments reveal unique nonverbal patterns that distinguish deceptive from nondeceptive interactions. The first and second experiments produced serial, hierarchically related patterns of behaviors that differed in length and complexity between truthful and deceptive participants during interviews about a theft and cheating, respectively. The third experiment produced differential patterns by and among group members completing a task. Deceivers were inclined toward strategic initiations and interactional control, whereas suspicious group members adopted a more passive, possibly watchful stance. Discovery of these patterns challenges the prevailing view that nonverbal behaviors are too faint and inconsistent to identify deceptive communication. Results have numerous implications regarding the following: the development of new measurement tools locating significant effects of nonverbal behaviors, support for theory that coherent and repetitive relationships exist within and among interactants’ communication, demonstration of the role of nonverbal behaviors in deceptive communication and the dynamic and strategic nature of deception.