Health information on the Internet and people living with HIV/AIDS: information evaluation and coping styles.

Individuals who seek information on the Internet to cope with chronic illness may be vulnerable to misinformation and unfounded claims. This study examined the association between health-related coping and the evaluation of health information. Men (n = 347) and women (n = 72) who were living with HIV/AIDS and reported currently using the Internet completed measures assessing their Internet use. Health Web sites downloaded from the Internet were also rated for quality of information. HIV-positive adults commonly used the Internet to find health information (66%) and to learn about clinical trials (25%); they also talked to their physicians about information found online (24%). In a multivariate analysis, assigning higher credibility to unfounded Internet information was predicted by lower incomes, less education, and avoidant coping styles. People who cope by avoiding health information may be vulnerable to misinformation and unfounded claims that are commonly encountered on the Internet.     

Change one can believe in: Adding learning to computational models of self-regulation

Theories of self-regulation describe motivation as a dynamic process of goal choice and goal striving. To facilitate those processes, individuals learn about themselves and their environment, which is an internal dynamic process. However, the precise nature of the relationship between these learning and motivational processes is not well specified. This article integrates formal models of learning, goal choice, and goal striving using a single information processing structure found in self-regulatory models of motivation. Results from two published studies ( and ) validate the model. In both cases, the integrated model accounts for findings that previous theories of self-regulation could not explain. Discussion focuses on additional tests to validate the model and on the value of incorporating formal models from the cognitive, learning, and motivational literatures to account for behavior in complex settings and over time.     

Using a Computational Model to Understand Possible Sources of Skews in Distributions of Job Performance

The typical assumption that performance is distributed normally has come under question in recent years (e.g., O'Boyle & Aguinis, 2012). This paper uses a dynamic, computational model of performance‐as‐results to examine possible sources of such distributions. That is, building off the classic model of job performance (Campbell & Pritchard, 1976), components of a dynamic model are examined in 4 separate experiments using Monte Carlo simulations. The experiments indicate that positively skewed distributions can arise from pure luck, multiplicative combinations of factors where 1 of those factors has a zero origin, Matthew effects associated with learning, and feedback effects of performance on resource allocation policies by external agents. The results are discussed in terms of explanations for positively skewed performance distributions and the use and expansion of the computational model for examining dynamic performance more generally.     

Maximizing Scales Do Not Reliably Predict Maximizing Behavior in Decisions from Experience

In this paper, we explore the relationships between psychometric and behavioral measures of maximization in decisions from experience (DfE). In two experiments, we measured choice behavior in two experimental paradigms of DfE and self‐reported maximizing tendencies using three prominent scales of maximization. In the repeated consequentialist choice paradigm, participants made repeated choices between two unlabeled options and received consequential feedback on each trial. In the sampling paradigm, participants freely sampled from two options and received feedback on their sampling before making a single consequential choice. Individuals exhibited different degrees of maximizing behavior in both paradigms and across different payoff distributions, but none of the maximizing scales predicted this behavior. These results indicate that maximization scales address constructs that are different from the maximization behavior observed in DfE, and that these measures will need to be improved to reflect behavioral aspects of choice and search from experience. Copyright © 2017 John Wiley & Sons, Ltd.     

Reviewers for Special Issue

Objective: An enhanced stress and coping model was used to explain depression among HIV‐positive women in healthcare and community settings where highly active anti‐retroviral treatment (HAART) was commonplace. Method: HIV‐infected women in four cities (N=978) were assessed, cross‐sectionally, for mental and physical health, stress, social support, and other background factors. Results: Self‐reported level of depressive symptomatology was high. Number of physical symptoms, illness intrusiveness, and perceived stress were positively associated with depressed mood, while coping self‐efficacy and social support were negatively associated. Stress mediated the effect of health status on depression and coping self‐efficacy mediated the effect of psychosocial resources on depression. Our enhanced stress and coping model accounted for 52% of variance in depressive symtpomatology. Conclusions: Interventions focused on improving coping self‐efficacy, bolstering social supports, and decreasing stress in the lives of HIV‐positive women may help to reduce the negative effects of HIV disease on mood.     

Depressive Symptomatology among HIV-Positive Women in the Era of HAART: A Stress and Coping Model

Objective: An enhanced stress and coping model was used to explain depression among HIV-positive women in healthcare and community settings where highly active anti-retroviral treatment (HAART) was commonplace. Method: HIV-infected women in four cities (N=978) were assessed, cross-sectionally, for mental and physical health, stress, social support, and other background factors. Results: Self-reported level of depressive symptomatology was high. Number of physical symptoms, illness intrusiveness, and perceived stress were positively associated with depressed mood, while coping self-efficacy and social support were negatively associated. Stress mediated the effect of health status on depression and coping self-efficacy mediated the effect of psychosocial resources on depression. Our enhanced stress and coping model accounted for 52% of variance in depressive symtpomatology. Conclusions: Interventions focused on improving coping self-efficacy, bolstering social supports, and decreasing stress in the lives of HIV-positive women may help to reduce the negative effects of HIV disease on mood.     

Use of the familiarity difference cue in inferential judgments

The familiarity difference cue has been regarded as a general cue for making inferential judgments (Honda, Abe, Matsuks, & Yamagishi in Memory and Cognition, 39(5), 851–863, 2011; Schwikert & Curran in Journal of Experimental Psychology: General, 143(6), 2341–2365, 2014). The current study tests a model of inference based on familiarity differences that encompasses the recognition heuristic (Goldstein & Gigerenzer, 1999, Goldstein & Gigerenzer in Psychological Review, 109(1), 75–90, 2002). In two studies, using a large pool of stimuli, participants rated their familiarity of cities and made choices on a typical city-size task. The data were fitted with the r-s model (Hilbig, Erdfelder, & Pohl in, Journal of Experimental Psychology: Learning Memory and Cognition, 37(4), 827–839, 2011), which was adapted to include familiarity differences. The results indicated that people used the familiarity difference cue because the participants ignored further knowledge in a substantial number of cases when the familiarity difference cue was available. An analysis of reaction-time data further indicated that the response times were shorter for heuristic judgments than for knowledge-only-based judgments. Furthermore, when knowledge was available, the response times were shorter when knowledge was congruent with a heuristic cue than when it was in conflict with it. Differences between the familiarity difference cue and the fluency heuristic (Schooler & Hertwig, 2005, Psychological Review, 112, 610–628) are discussed.     

Negative affect and sexual risk behavior: comment on Crepaz and Marks (2001).

In this commentary, the authors highlight the findings of the meta-analysis by N. Crepaz and G. Marks (2001). The role of affect in sexual risk behavior, although intuitively obvious, is not well understood and has been largely ignored by HIV prevention researchers in favor of social-cognitive models of behavior. Crepaz and Marks synthesized the results from studies that have examined the relation of negative affect (e.g., depression, anxiety, anger) to sexual risk behavior and concluded that in the literature to date, these variables appear unrelated. The authors suggest that the Crepaz and Marks findings are not surprising given the methods used in the reviewed studies and suggest methodological approaches that will allow more sensitive analyses of the association between affect and sexual risk behavior.     

Cross‐cultural Measurement Invariance of the Employment Opportunity Index (EOI) in Mexican and Brazilian Professionals

Perceived employment alternatives have been shown to add incremental variance in understanding voluntary turnover as well as factors related to recruiting and staffing. The Employment Opportunity Index (EOI) is a multidimensional assessment of perceived employment alternatives that has exhibited predictive validity across multiple job types and populations. This study assessed the measurement invariance of the EOI in American, Mexican, and Brazilian professionals. We found support for configural and metric invariance in all five dimensions of the EOI with these populations, and support for scalar invariance three of the five EOI dimensions. The construct validity of the EOI appears to be relatively robust in Latin American populations, although cultural and macroeconomic factors may impose some response bias in these groups.     

Health-related Internet use, coping, social support, and health indicators in people living with HIV/AIDS: preliminary results from a community survey.

Widespread Internet use has revolutionized health information and patient education for persons with chronic illnesses. The authors surveyed 147 HIV-positive persons to examine factors associated with Internet use and associations between Internet use and health. Information, motivation, and behavioral skills associated with using the Internet were related to Internet use. The authors found that health-related Internet use was associated with HIV disease knowledge, active coping, information seeking coping, and social support among persons who were using the Internet. These preliminary findings suggest an association between using the Internet for health-related information and health benefits among people living with HIV/AIDS, supporting the development of interventions to close the digital divide in HIV/AIDS care.