Money,moral transgressions,and blame

Two experiments tested participants' attributions for others' immoral behaviors when conducted for more versus less money. We hypothesized and found that observers would blame wrongdoers more when seeing a transgression enacted for little rather than a lot of money, and that this would be evident in observers' hand-washing behavior. Experiment 1 used a cognitive dissonance paradigm. Participants (N = 160) observed a confederate lie in exchange for either a relatively large or a small monetary payment. Participants blamed the liar more in the small (versus large) money condition. Participants (N = 184) in Experiment 2 saw images of someone knocking over another to obtain a small, medium, or large monetary sum. In the small (versus large) money condition, participants blamed the perpetrator (money) more. Hence, participants assigned less blame to moral wrong-doers, if the latter enacted their deed to obtain relatively large sums of money. Small amounts of money accentuate the immorality of others' transgressions.     

Examining the relationship between use of sexually explicit media and sexual risk behavior in a sample of men who have sex with men in Norway

The purpose of this study was to investigate consumption patterns of gay‐oriented sexually explicit media (SEM) among men who have sex with men (MSM) in Norway, with a particular emphasis on a possible relationship between gay SEM consumption and HIV risk behavior. Participants included 529 MSM living in Norway recruited online to complete a SEM consumption and sexual risk survey. Of the 507 participants who responded to the all items measuring exposure to SEM, 19% reported unprotected anal intercourse with a casual partner (UAI) in last 90 days, and 14% reported having had sero‐discordant UAI. Among those with UAI experience, 23% reported receptive anal intercourse (R‐UAI) and 37% reported insertive anal intercourse (I‐UAI). SEM consumption was found to be significantly associated with sexual risk behaviors. Participants with increased consumption of bareback SEM reported higher odds of UAI and I‐UAI after adjusting for other factors using multivariable statistics. MSM who started using SEM at a later age reported lower odds of UAI and I‐UAI than MSM who started earlier. Future research should aim at understanding how MSM develop and maintain SEM preferences and the relationship between developmental and maintenance factors and HIV sexual risk behavior.     

Gender and mathematics anxiety: The role of math-related experiences and opinions

Abstract

Research has indicated that women may be particularly prone to experiencing mathematics anxiety and, to account for this, the sex-role socialization hypothesis posits that women are more math anxious because they have had less experience with mathematics and have more negative opinions regarding mathematics. In contrast, the math experiences hypothesis suggests that math anxiety is not truly a gender-related phenomenon, but rather is due to poor mathematical preparation, regardless of gender. The present study pitted the “sex-role” hypothesis against the “math experience” hypothesis in an examination of the relation between gender and math anxiety. One hundred and seventy-one university students completed a measure of math anxiety and a series of questions regarding their math marks, opinions, and experiences throughout their educational history. The findings clearly supported the math experience hypothesis of math anxiety, for differences in math marks, opinions, and experiences were found between non-math-anxious, moderately math-anxious, and highly math-anxious students. The few gender differences that were found indicated that the female students frequently reported higher math marks than those reported by male students. We suggest that the relation between gender and mathematics anxiety may be accounted for by gender-linked reporting biases. The limitations of the study are addressed and suggestions for future research are made.     

Handling Missing Covariates in Conditional Mixture Models Under Missing at Random Assumptions

Mixture modeling is a popular method that accounts for unobserved population heterogeneity using multiple latent classes that differ in response patterns. Psychologists use conditional mixture models to incorporate covariates into between-class and/or within-class regressions. Although psychologists often have missing covariate data, conditional mixtures are currently fit with a conditional likelihood, treating covariates as fixed and fully observed. Under this exogenous-x approach, missing covariates are handled primarily via listwise deletion. This sacrifices efficiency and does not allow missingness to depend on observed outcomes. Here we describe a modified joint likelihood approach that (a) allows inference about parameters of the exogenous-x conditional mixture even with nonnormal covariates, unlike a conventional multivariate mixture; (b) retains all cases under missing at random assumptions; (c) yields lower bias and higher efficiency than the exogenous-x approach under a variety of conditions with missing covariates; and (d) is straightforward to implement in available commercial software. The proposed approach is illustrated with an empirical analysis predicting membership in latent classes of conduct problems. Recommendations for practice are discussed.     

Variability in Parameter Estimates and Model Fit Across Repeated Allocations of Items to Parcels

Different random or purposive allocations of items to parcels within a single sample are thought not to alter structural parameter estimates as long as items are unidimensional and congeneric. If, additionally, numbers of items per parcel and parcels per factor are held fixed across allocations, different allocations of items to parcels within a single sample are thought not to meaningfully alter model fit—at least when items are normally distributed. We show analytically that, although these statements hold in the population, they do not necessarily hold in the sample. We show via a simulation that, even under these conservative conditions, the magnitude of within-sample item-to-parcel-allocation variability in structural parameter estimates and model fit can alter substantive conclusions when sampling error is high (e.g., low N, low item communalities, few items per few parcels). We supply a software tool that facilitates reporting and ameliorating the consequences of item-to-parcel-allocation variability. The tool's utility is demonstrated on an empirical example involving the Neuroticism-Extroversion-Openness (NEO) Personality Inventory and the Computer Assisted Panel Study data set.     

Structural Equation Modeling Approaches for Analyzing Partially Nested Data

Study designs involving clustering in some study arms, but not all study arms, are common in clinical treatment-outcome and educational settings. For instance, in a treatment arm, persons may be nested in therapy groups, whereas in a control arm there are no groups. Methodological approaches for handling such partially nested designs have recently been developed in a multilevel modeling framework (MLM-PN) and have proved very useful. We introduce two alternative structural equation modeling (SEM) approaches for analyzing partially nested data: a multivariate single-level SEM (SSEM-PN) and a multiple-arm multilevel SEM (MSEM-PN). We show how SSEM-PN and MSEM-PN can produce results equivalent to existing MLM-PNs and can be extended to flexibly accommodate several modeling features that are difficult or impossible to handle in MLM-PNs. For instance, using an SSEM-PN or MSEM-PN, it is possible to specify complex structural models involving cluster-level outcomes, obtain absolute model fit, decompose person-level predictor effects in the treatment arm using latent cluster means, and include traditional factors as predictors/outcomes. Importantly, implementation of such features for partially nested designs differs from that for fully nested designs. An empirical example involving a partially nested depression intervention combines several of these features in an analysis of interest for treatment-outcome studies.     

Consciousness and Self‐Regulation in Mobile Communication

The everyday use of mobile devices is sometimes performed in a minimally conscious manner (e.g., automaticity, habits, impulses), whereas other times it is performed in a highly conscious manner (e.g., immersion, presence, absorption). In Study 1, we surveyed individuals (n = 250) to evaluate the seemingly oppositional relationship between automatic (less conscious) and immersive (more conscious) tendencies toward texting. Despite their standard separation, confirmatory factor analyses revealed that automaticity and immersion were actually positively related independent of usage frequency. In Study 2 (n = 526), these consciousness tendencies were related to select facets of trait self‐control and mindfulness. Together, these studies underline the importance of media cognition in combination with personality factors for understanding the psychology of mobile device use.     

She Looks like She’d Be an Animal in Bed: Dehumanization of Drinking Women in Social Contexts

The purpose of the present research was to examine the perceptions of women who drink in social contexts through the lens of dehumanization (Haslam 2006). Across three experiments, we manipulated the presence of alcohol by depicting a woman at a bar with a bottle of beer or a bottle of water and measured dehumanization. As hypothesized, women were dehumanized more in the alcohol condition than in the water condition by men (Experiments 1–3) and women (Experiments 2 and 3). Notably, the presence of alcohol compared to water had no impact on dehumanization of men (Experiment 2). Also, as hypothesized, perceived intoxication emerged as a significant mediator of the link between alcohol condition and dehumanization in Experiments 1 and 2, and alcohol quantity predicted greater dehumanization in Experiment 3. Extending the present work to prior work in this area, Experiment 3 also examined the links among alcohol, perceived sexual availability, and dehumanization, revealing that perceived sexual availability mediated the link between alcohol and dehumanization. Implications for theories of dehumanization, alcohol, and social perception as well as practical implications of these findings are discussed.

     

Adaptive Coping Reduces the Impact of Community Violence Exposure on Violent Behavior among African American and Latino Male Adolescents

This study examined whether coping moderated the impact of community violence exposure (CVE) on violent behavior among 285 urban African American and Latino adolescent males assessed annually across 5 years. Composites indicating overall CVE (having knowledge of others’ victimization, witnessing violence, direct victimization) and approach to coping with CVE were created by averaging across years 1–3 (Time 1; mean ages 14–16). Adolescents classified as coping effectively tended to respond to CVE in beneficial ways (e.g., developing long-term solutions, engaging in positive reappraisal). Violent behavior was examined across years 1–3 (Time 1) and years 4–5 (Time 2; mean ages 18–19). CVE was longitudinally associated with greater violent behavior, adjusting for Time 1 levels of violent behavior. This association was significant only among adolescents with less effective coping strategies. Interventions targeting the enhancement of coping skills may be an effective method of reducing the impact of CVE on adolescent violent behavior. Sonya S. Brady is now an Assistant Professor in the Division of Epidemiology and Community Health, School of Public Health at the University of Minnesota (1300 South Second Street, Suite 300, Minneapolis, MN 55454-1015, USA; Tel.: +1-612-6241818; Fax: +1-612-6240315.