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Meta-Analysis of Risk-Taking and Dangerous Behavior |
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| Posted by: | Jordane Boudesseul |
| Title/Position: | PhD Student |
| School/Organization: | University of Grenoble |
| Sent to listserv of: | SESP |
| Date posted: | August 20th, 2014 |
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Meta-analysis of risk-taking and dangerous behaviors in women: Requesting unpublished papers, presentations, and data on detectable changes in women across the menstrual cycle
Dear Colleagues,
We are conducting a meta-analysis on changes in risk-taking across the ovulatory cycle. Importantly, the study need not have been conducted with the intent of examining ovulatory cycle effects. To be eligible, the study must include (a) data relevant to determining a woman’s position in the cycle (e.g., the date she started her most recent menstrual period); and (b) a measure of one of the three following types of risk taking: health-related risks (alcohol and drug consumption, sexual activities, risk perception, food habits, suicide attempts, etc.), financial risks (competitive bidding, behavior in dictator, ultimatum, and other economic games; spending behavior, etc.), and relationship- or mating-related risks (wearing sexy clothing, going to clubs or parties, sexual infidelity, intra-sexual competition, jealousy, creativity, social activities, going to potentially dangerous places, etc.). Please see below for more information on specific inclusion criteria.
We would greatly appreciate your help in locating unpublished data to include in our meta-analysis. Please email us at laurent.begue@upmf-grenoble.fr if you are aware of any unpublished papers, presentations, or data (including student projects) that might meet the inclusion criteria listed below.
We would appreciate receiving any potentially eligible data before the 1st of September. Moreover, if your work in-press, or is published in a journal that is not listed in a major index (e.g., pubmed), or you are for any reason concerned that our search might not identify your work, please send us preprints, reprints, or other research reports. In addition, if you know any other relevant contribution from your colleagues, we would greatly appreciate if you could send us this information. We will use your data only for the purposes of this meta-analysis and are happy to discuss precisely how we would use your data prior to your sharing it with us.
Inclusion criteria:
(1) Study that gathered information that could be used to estimate female participants’ position in the menstrual cycle (e.g., date of last menstrual onset; next date of menstrual onset; measures of hormones; ultrasonography, etc.).
(2) Study included only women who were naturally cycling (e.g., excluded any women using hormonal contraception or who were pregnant or breastfeeding at the time of the experiment) OR collected information that would allow for the separate analysis of naturally cycling women and other groups of women.
(3) Study must have collected self-reports, direct measurements or observations, or 3rd-party ratings of risk taking behavior (as defined above). For example, previous studies have examined associations between women’s menstrual cycle position and alcohol consumption.
At this stage, we prefer to be over-inclusive in gathering data for this meta-analysis, so please do not hesitate to contact us.
If you have any questions, you can email us at laurent.begue@upmf-grenoble.fr. This work is a collaboration between Laurent Bègue, Jordane Boudesseul, Martie Haselton and Kelly Gildersleeve.
Thanks in advance for all your help!
Sincerely,
Laurent Bègue, Ph.D.
Professor
Departments of Psychology, University of Grenoble Alpes
laurent.begue@upmf-grenoble.fr
Martie Haselton, Ph.D.
Professor
Departments of Psychology and Communications Studies, University of California, Los Angeles
haselton@ucla.edu
310-206-7445
Kelly Gildersleeve, C.Phil.
Graduate Student
Department of Psychology
University of California, Los Angeles
kellygildersleeve@gmail.com
Jordane Boudesseul
Ph.D. Student
Departments of Psychology, University of Grenoble Alpes
jordane.boudesseul@upmf-grenoble.fr
Please send data to laurent.begue@upmf-grenoble.fr
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