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Building upon literature suggesting low Internet use among racial/ethnic minorities and socioeconomically disadvantaged groups, this study examined how race/ethnicity and socioeconomic status (SES) influence the Internet use for health information, addressing both independent and interactive effects. Using data from 17,704 older adults in the California Health Interview Survey, logistic regression models were estimated with race/ethnicity (Whites, African Americans, Latinos, and Asians), SES index, and the interaction between race/ethnicity and SES index. Overall, approximately 40% of participants were Internet-users for health information. Direct effects of race/ethnicity and SES-and their interactions-were all found to be significant. Minority status combined with the lowest levels of SES substantially reduced the odds of using Internet for health information. Findings suggest the combination of racial/ethnic minority status and low SES as a source of digital divide, and provide implications for Internet technology training for the target population.

The finding that trying, and failing, to predict the upcoming to-be-remembered response to a given cue can enhance later recall of that response, relative to studying the intact cue-response pair, is surprising, especially given that the standard paradigm (e.g., Kornell, Hays, & Bjork, 2009) involves allocating what would otherwise be study time to generating an error. In three experiments, we sought to eliminate two potential heuristics that participants might use to aid recall of correct responses on the final test and to explore the effects of interference both at an immediate and at a delayed test. In Experiment 1, by intermixing strongly associated to-be-remembered pairs with weakly associated pairs, we eliminated a potential heuristic participants can use on the final test in the standard version of the paradigm-namely, that really strong associates are incorrect responses. In Experiment 2, by rigging half of the participants' responses to be correct, we eliminated another potential heuristic-namely, that one's initial guesses are virtually always wrong. In Experiment 3, we examined whether participants' ability to remember-and discriminate between-their incorrect guesses and correct responses would be lost after a 48-h delay, when source memory should be reduced. Across all experiments, we continued to find a robust benefit of trying to guess to-be-learned responses, even when incorrect, versus studying intact cue-response pairs. The benefits of making incorrect guesses are not an artifact of the paradigm, nor are they limited to short retention intervals.

Objective: This study examines the association of marital strain-as reported by each spouse-with psychological distress and considers whether the associations vary for men and women in gay, lesbian, and heterosexual marriages. Background: Prior studies show that marital strain is associated with psychological distress. However, most studies rely on only one spouse's perspective and do not consider how appraisals of strain from both spouses may contribute to distress. Moreover, possible gender differences in these associations have been considered only for heterosexual couples. Method: The analyses are based on 10 days of dyadic diary data from 756 midlife U.S. men and women in 378 gay, lesbian, and heterosexual marriages. Multilevel modeling is used to examine the association of selfand spouse-reported marital strain with psychological distress; actor-partner interdependence models explore possible gender differences in these associations. Results: Both self-reports and spousal reports of marital strain are associated with psychological distress, with notable gender differences. The associations of self-and spouse-reported marital strain with distress are stronger

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