everything will be attached, however, here is the instruction, I need you to foc

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everything will be attached, however, here is the instruction, I need you to foc

everything will be attached, however, here is the instruction, I need you to focus and write on the positive aspect of self-perception regarding how the marginalization of women aged 18-25 in Montreal within workplace environments influences their career trajectories and mental health?”. i will be providing you with points and all. . For your analysis, you need to show how your data (coming from all the team members’ observations and semi‐ structured interviews), along with the literature review, answered your (reformulated) research question. After your observations and your interview, you may have found that you needed to make some adjustments to your initial research question. This is part and parcel of doing qualitative research and is perfectly fine. Sometimes, on the contrary, the research question will be kept the same, and this is also fine. Your analysis, however, needs to be attuned to the research question that you indicate. The collective analysis of data, unified in a “single voice,” will provide a critical analysis of the main themes that you identified across the teams’ various observations and interviews and that you chose to analyze. The main goal of the analysis is to make evident the underlying social relations in your chosen themes and provide significant insights about those relations, particularly when considering your two intersections (i.e. gender, race/ethnicity, class, age, religion, sexuality, ability). Your analysis also needs to include two measurements of central tendency or MCT (mean, mode, or median) per each of your main themes as a way to contextualize your findings. This data needs to come from trusted sources such as Statistics Canada or the Institut de la statistique du Québec. For instance, if you decided to analyze three main themes, you will need to present 2 MCT. These MCT could be all means, or a combination of means and medians, for example.

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