Biomedical subjects

Valerie F Reyna

Publications and source records attributed to Valerie F Reyna.

3 recordsLinked to original sources

PubMed2003

Gender differences in academic advancement: patterns, causes, and potential solutions in one US College of Medicine.

PURPOSE: The influx of women into academic medicine has not been accompanied by equality for male and female faculty. Women earn less than men in comparable positions, progress more slowly through academic ranks, and have not attained important leadership roles. This study tested hypotheses about why gender disparities exist in salary, rank, track, leadership, and perceptions of campus climate at one academic center, the University of Arizona College of Medicine, Tucson. METHOD: Salary, rank, and track data were obtained from institutional databases for the 1999-2000 fiscal year. A structured, online questionnaire was made available to 418 faculty members to collect information about their goals, attitudes, and experiences. RESULTS: A total of 198 faculty members completed the questionnaire. The data showed significant gender differences in faculty salaries, ranks, tracks, leadership positions, resources, and perceptions of academic climate. On average, women earned US dollars 12777 or 11% less than men, after adjusting for rank, track, degree, specialty, years in rank, and administrative positions (p <.0003). Of female faculty, 62% were assistant professors (49% of women were non-tenure-eligible assistant professors), while 55% of male faculty were promoted and tenured. Almost a third of women reported being discriminated against, compared with only 5% of men (p <.00001). CONCLUSION: Substantial gender differences in the rewards and opportunities of academic medicine remain, that can not be attributed to differences in productivity or commitment between women and men.

Analysis of Variance↗

PubMed2003

Fuzzy-trace theory, risk communication, and product labeling in sexually transmitted diseases.

Health care professionals are a major source of risk communications, but their estimation of risks may be compromised by systematic biases. We examined fuzzy-trace theory's predictions of professionals' biases in risk estimation for sexually transmitted infections (STIs) linked to: knowledge deficits (producing underestimation of STI risk, re-infection, and gender differences), gist-based mental representation of risk categories (producing overestimation of condom effectiveness for psychologically atypical but prevalent infections), retrieval failure for risk knowledge (producing greater risk underestimation when STIs are not specified), and processing interference involving combining risk estimates (producing biases in post-test estimation of infection, regardless of knowledge). One-hundred-seventy-four subjects (experts attending a national workshop, physicians, other health care professionals, and students) estimated the risk of teenagers contracting STIs, re-infection rates for males and females, and condom effectiveness in reducing infection risk. Retrieval was manipulated by asking estimation questions in two formats, a specific format that "unpacked" the STI category (infection types) and a global format that did not provide specific cues. Requesting estimates of infection risk after relevant knowledge was directly provided, isolating processing effects, assessed processing biases. As predicted, all groups of professionals underestimated the risk of STI transmission, re-infection, and gender differences, and overestimated the effectiveness of condoms, relative to published estimates. However, when questions provided better retrieval supports (specified format), estimation bias decreased. All groups of professionals also suffered from predicted processing biases. Although knowledge deficits contribute to estimation biases, the research showed that biases are also linked to fuzzy representations, retrieval failures, and processing errors Hence, interventions that are designed to improve risk perception among professionals must incorporate more than knowledge dissemination. They should also provide support for information representation, effective retrieval, and accurate processing.

Adolescent↗

PubMed2002

Using NetCloak to develop server-side Web-based experiments without writing CGI programs.

Server-side experiments use the Web server, rather than the participant's browser, to handle tasks such as random assignment, eliminating inconsistencies with JAVA and other client-side applications. Heretofore, experimenters wishing to create server-side experiments have had to write programs to create common gateway interface (CGI) scripts in programming languages such as Perl and C++. NetCloak uses simple, HTML-like commands to create CGIs. We used NetCloak to implement an experiment on probability estimation. Measurements of time on task and participants' IP addresses assisted quality control. Without prior training, in less than 1 month, we were able to use NetCloak to design and create a Web-based experiment and to help graduate students create three Web-based experiments of their own.

Internet↗