Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Power Analysis This study will involve analyses for 10 hypotheses, and additional exploratory analyses (see analytic plan for more details). A power analysis indicated that a sample size of 1091 would be necessary to detect a statistically significant effect in a chi-square analysis with four groups, assuming a small effect size with a power level of 0.80 (power estimated using GPower 3.1; Erdfelder, Faul, & Buchner, 1996; Faul, Erdfelder, Lang, & Buchner, 2007). Planned Sample Participants will be recruited from Amazon's Mechanical Turk (MTurk), an online crowdsourcing platform that is commonly used for psychological research. Four advertisements (one for ages 18-25, one for 26-35, one for 36-55, and one for over 55) will be placed on the MTurk website for all MTurk users with active accounts to see, with information about the inclusion criteria as well as a link to the survey. All four advertisements will direct participants to the same survey, the separate ads are simply intended to encourage equal numbers of emerging adults (18-25), young adults (26-35), middle-aged adults (36-55), and older adults (over 55). Participants must be at least 18 years of age, speak English fluently, be sexually active, and have an MTurk approval rating of 95% or more to be eligible for the study. Eligible and interested participants will follow the link, and will be redirected to a survey hosted on Qualtrics, where the letter of information and consent will be presented. Informed consent will be received from each participant digitally (each participant must indicate they read the consent form and agree to take part before proceeding). Participants included in the final sample must correctly answer 2 attention checks and 1 instruction check. To account for loss of participants due to factors such as failure to meet inclusion criteria or failing attention checks, our target sample prior to these cuts was approximately 1500 participants. Importantly, no analyses will be conducted until the target sample has been acquired.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.