Reasoning Together Through Telling Stories: How People Talk about Social Controversies

Qualitative Sociology - We use focus groups of ordinary citizens talking about social controversies to analyze the role of storytelling in collective reasoning. Prior research has emphasized...     

Adolescent Personality as Risk and Resiliency in the Testosterone–Externalizing Association

Previous investigations of testosterone and externalizing behavior have provided mixed findings. We tested the hypothesis that self‐regulatory personality moderates the testosterone–externalizing behavior association in adolescence. Parents reported on their 13‐ to 18‐year‐old (N = 106, M_age = 16.01, SD = 1.29) children's personalities and psychopathology. Testosterone was measured via drool samples. As hypothesized, personality moderated the testosterone–externalizing behavior association. High testosterone predicted higher levels of externalizing behaviors, but only for adolescents low in Agreeableness and Conscientiousness. Also, personality acted as a resiliency factor: high levels of Conscientiousness, in the presence of high testosterone, predicted lower levels of rule breaking. Results highlight how endogenous factors, such as personality, may interact with testosterone, and emphasize the relevance of including personality moderators in future research.     

Book Review: Success Stories as Hard Data: An Introduction to Results Mapping. Barry M. Klibel. Kluwer Academic/Plenum Publishers, 1999, 182 pp.

Sociological Practice -     

Digital Strategies for Building Spiritual Intimacy: Families on a “Wired” Camino

Qualitative Sociology - Researchers have explored the role that information and communication technologies (ICTs) play in mediating both religious practice and intergenerational family...     

Cross-National Coverage of Water Handling: A Community Structure Approach

A cross-national community structure survey examined the relationship between national characteristics and newspaper coverage of water handling. Sampling all relevant 250+ word articles from September 1, 2000 (the implementation of UN Millennium Development Goal target 7c) to September 1, 2010 in 21 newspapers worldwide in NewsBank and AllAfrica databases yielded 394 articles. Articles were coded for visual/editorial “prominence” and “direction” (framing of clean water access as primarily “government responsibility,” “societal responsibility,” or “balanced/neutral” coverage), then combined to produce composite “Media Vector” scores for each newspaper (+.5241 to ?.3886, a range of .9127). Thirteen of 21 Media Vectors (60%) reflected coverage favoring government responsibility for water handling. Pearson correlations revealed the potency of 4 variable cluster scales (all α = .70+) as major correlates of water handling coverage: “female empowerment,” “vulnerability,” “privilege,” and “press freedom,” with three clusters connected to “societal” responsibility. Regression analysis reinforced the strong role of female empowerment in coverage emphasizing societal responsibility. Overall, indicators of privilege and press freedom followed suit, also linked to coverage emphasizing “societal” responsibility for water handling, whereas indicators of vulnerability instead correlated with more media emphasis on government responsibility.     

Randomization tests for multiple regression

Four generic means of conducting randomization tests in the context of multiple regression are analysed. Based on their performance in traditional repeated samples, three of these are shown to be inappropriate or applicable only in special circumstances; their shortcomings are illustrated via Monte Carlo studies     

Singularity and Autoregressive Disturbances in Linear Logit Models

The implications of including autoregressive disturbances in linear logit models of demand systems are explored. It is argued that the normality assumption of the error terms is more appropriate in the linear logit model than in a share equation model with additive disturbances (commonly found in the literature). Autoregressive disturbances and their implications for model estimation are discussed in that context. Both theoretical arguments and empirical evidence are presented in favor of the logit specification given the presence of serial correlation.