Michael G. Lacy

Statistics of Ordinal Variation

Whereas measures of variation in nominal data have long been recognized and used by sociologists, measures of variation for ordered categorical data have received little attention. The authors discuss the potential usefulness of ordinal dispersion statistics in sociology and define a broad class of such measures, some of which have previously been proposed in other forms. This article focuses on two statistics, termed l2 and l, which are [0 - 1] normed measures of concentration or dispersion, and illustrates their use for two purposes: measuring inequality and cultural consensus. The bias, variance, and use of these statistics in inference are discussed. The article concludes with a substantive application of these statistics and a comparison to the performance of conventional variation statistics.

Magical Flight and Monstrous Stress: Technologies of Absorption and Mental Wellness in Azeroth

Videogame players commonly report reaching deeply “immersive” states of consciousness, in some cases growing to feel like they actually are their characters and really in the game, with such fantastic characters and places potentially only loosely connected to offline selves and realities. In the current investigation, we use interview and survey data to examine the effects of such “dissociative” experiences on players of the popular online videogame, World of Warcraft (WoW). Of particular interest are ways in which WoW players’ emotional identification with in-game second selves can lead either to better mental well-being, through relaxation and satisfying positive stress, or, alternatively, to risky addiction-like experiences. Combining universalizing and context-dependent perspectives, we suggest that WoW and similar games can be thought of as new “technologies of absorption”—contemporary practices that can induce dissociative states in which players attribute dimensions of self and experience to in-game characters, with potential psychological benefit or harm. We present our research as an empirically grounded exploration of the mental health benefits and risks associated with dissociation in common everyday contexts. We believe that studies such as ours may enrich existing theories of the health dynamics of dissociation, relying, as they often do, on data drawn either from Western clinical contexts involving pathological disintegrated personality disorders or from non-Western ethnographic contexts involving spiritual trance.

Restorative Magical Adventure or Warcrack?: Motivated MMO Play and the Pleasures and Perils of Online Experience

Combining perspectives from the new science of happiness with discussions regarding “problematic” and “addictive” play in multiplayer online games, the authors examine how player motivations pattern both positive and negative gaming experiences. Specifically, using ethnographic interviews and a survey, the authors explore the utility of Yee’s three-factor motivational framework for explaining the positive or negative quality of experiences in the popular online game World of Warcraft (2004-2012). The authors find that playing to Achieve is strongly associated with distressful play, results that support findings from other studies. By contrast, Social and Immersion play lead more typically to positive gaming experiences, conclusions diverging from those frequently reported in the literature. Overall, the authors suggest that paying attention to the positive as well as negative dimensions of inhabiting these online worlds will provide both for more balanced portraits of gamers’ experiences and also potentially clarify pathways toward problematic and addictive play.

A formal anthropological view of motivation models of problematic MMO play: Achievement, social, and immersion factors in the context of culture

Yee (2006) found three motivational factors—achievement, social, and immersion—underlying play in massively multiplayer online role-playing games (“MMORPGs” or “MMOs” for short). Subsequent work has suggested that these factors foster problematic or addictive forms of play in online worlds. In the current study, we used an online survey of respondents (N = 252), constructed and also interpreted in reference to ethnography and interviews, to examine problematic play in the World of Warcraft (WoW; Blizzard Entertainment, 2004–2013). We relied on tools from psychological anthropology to reconceptualize each of Yee’s three motivational factors in order to test for the possible role of culture in problematic MMO play: (a) For achievement, we examined how “cultural consonance” with normative understandings of success might structure problematic forms of play; (b) for social, we analyzed the possibility that developing overvalued virtual relationships that are cutoff from offline social interactions might further exacerbate problematic play; and (c) in relation to immersion, we examined how “dissociative” blurring of actual- and virtual-world identities and experiences might contribute to problematic patterns. Our results confirmed that compared to Yee’s original motivational factors, these culturally sensitive measures better predict problematic forms of play, pointing to the important role of sociocultural factors in structuring online play.

Greening Local Energy: Explaining the Geographic Distribution of Household Solar Energy Use in the United States

Problem: Solar energy has potential to solve many types of planning problems. Knowing where existing household solar energy users are located and what factors explain this distribution can help craft appropriate local policies. Purpose: This study analyzes the spatial distribution of households who heat their homes with solar energy across the contiguous United States. Methods: We use geographic information systems (GIS) and zero-inflated negative binomial statistical techniques to test three sets of geographic predictors at the scale of the county: environmental, economic, and sociopolitical. Results and conclusions: Descriptive, GIS, and regression results indicate that the expected number of households using solar energy to heat their homes increases significantly with the amount of solar radiation received, but that other environmental, socioeconomic, and political factors are also significant predictors. The number of solar households in a county is a positive function of wealth (operationalized as median home value), urbanization, and the percentage of residents in the peak period of the lifecycle-consumption curve. Having a solar energy technology provider in the county did not appear to be significant. Finally, we confirmed that households heating with solar energy increase with the percentage of persons who vote for the Democratic Party in presidential elections and with local government involvement in the International Council for Local Environmental Initiatives. Takeaway for practice: Our model can be used to enhance adoption of solar technologies by showing which localities possess most of the attributes that predict solar use, but adoption lags expectations. This can help design efficient and effective local plans and incentives calibrated to local environmental, economic, and sociopolitical conditions. Research support: Portions of the data collection for this research were supported under Award No. NA03OAR4310164 by the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration or the Department of Commerce.

An Explained Variation Measure for Ordinal Response Models With Comparisons to Other Ordinal R² Measures

No explained variation (R2) measure for ordinal response models enjoys wide use, and such measures have in fact received little specific attention or evaluation. To remedy this gap, the author presents and justifies R2 O, an explained variation measure for ordinal response models, which is based on a recent ordinal dispersion measure. The use and function of R2 O is illustrated, and the performance of it and other ordinal R2 measures is compared via a series of simulated sampling and variable selection experiments. The R2 O and a bias-adjusted version of it perform well in the simulation experiments and have a number of other advantages that make them attractive as measures of fit for any ordinal response model.

Factors affecting economics of using sexed semen in dairy cattle

The use of sexed semen in the dairy industry has grown rapidly. However, high costs and low fertility have limited the use of this potentially valuable tool. This study used simulation to evaluate 160,000 combinations of key variables in 3 spheres of influence related to profit feasibility: (1) market (e.g., milk and calf prices), (2) dairy farm management (e.g., conception rates), and (3) technology (e.g., accuracy of sexing). These influential variables were used to determine the most favorable circumstances in which managers or technicians can effect change. Three distinct scenarios were created to model 3 initiatives that a producer might take with sexed semen: (1) using sexed semen on heifers, (2) using sexed semen on heifers and a fraction of the genetically superior cows, and (3) using sexed semen on heifers and a fraction of the genetically superior cows, and breeding all other cows with beef semen. Due to the large number of management, market, and technology combinations, a response surface and interpretive graphs were created to map the scope of influence for the key variables. Technology variables such as the added cost of sexed semen had relatively little effect on profitability, defined as net present value gain per cow, whereas management variables such as conception rate had a significant effect. Milk price had relatively little effect within each scenario, but was important across scenarios. Profitability was very sensitive to the price of dairy heifer calves, relative to beef and dairy bull calves. Scenarios 1 and 2 added about

Correctional prediction and the Level of Supervision Inventory

50 to

Efficiently Studying Rare Events: Case-Control Methods for Sociologists

75 per cow in net present value, which ranged from

Measures of Variation for Ordinal Data as Functions of the Cumulative Distribution

0 to