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Create a research design for a study that attempts to assess whether having a supportive adult in a young LGTBQ+ person's life reduces the chance of suicide. How many participants you will end up having for this study, and where will you get them from? What sampling method will you use, and why is it appropriate for this study? Over what period will the data be collected and how will you measure it?

The study should have a substantial number of diverse participants from an array of backgrounds. Stratified sampling should be used so that the participants can be divided into young LGBTQ+ persons and young straight-identifying persons.

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Ideally, researchers will use a large number of participants for their study about young LGBTQ+ persons. As many factors contribute to an LGBTQ+ person's well-being, the presence of a supportive adult in their life, and their risk of suicide, the study should find participants from an array of backgrounds. They should try to use young people from middle-class communities, lower-class communities, upper-class communities, religious communities, secular communities, liberal communities, conservative communities, and so on.

By having a diverse selection of participants, researchers might find that a supportive adult lessens the chance of suicide in a secular community but not in a religious community. Or maybe they’ll find that a supportive adult reduces the chance of suicide in a religious community but not in a secular community. Either way, LGBTQ+ identity is extensive and intricate. To account for its complex influences, there should be ample participants from different walks of life.

As the study is specifically concerned with LGBTQ+ persons, stratified sampling should be used. This way, researchers can separate LGBTQ+ participants from heterosexual participants and draw conclusions about the impact that a supportive adult has or hasn't had on the two groups. Without stratified sampling and division into groups, the study loses its focus. However, if straight-identifying young people are left out of the study altogether, then researchers can’t make critical comparisons and will be operating in something of a vacuum.

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