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Appendix 2Table 1: People experiencing homelessness across GTA regions by gender*: Regions Male Female Others/Don\'t know/declined Halton (1, 2)(n271) 119 (44%) 141 (52%) 4% York (3)(n389) 218 (56%)
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Start by thoroughly understanding the topic and objectives of your literature review and data analysis.
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Conduct a comprehensive search for relevant academic articles, books, and other sources.
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Read and analyze each source to understand their key findings, methodologies, and contributions to the topic.
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Start writing your literature review by introducing the topic and providing background information.
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Discuss and synthesize the findings from each source, highlighting their similarities, differences, and significance.
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Analyze the data you have collected using appropriate statistical methods and tools.
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Interpret the results of your data analysis and connect them back to the literature review.
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Draw conclusions based on your findings and propose recommendations or areas for further research.
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Revise and proofread your literature review and data analysis to ensure clarity, coherence, and accuracy.

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A literature review is a comprehensive overview of existing research and publications on a particular topic, summarizing and synthesizing major findings. Data refers to the information collected and analyzed in the literature review process.
Typically, scholars, researchers, and students are required to file a literature review and data as part of their research projects, academic theses, or dissertations.
To fill out a literature review and data, one should identify relevant literature, summarize key findings, analyze methodologies, and present data in a structured format that addresses research questions.
The purpose of literature review and data is to establish a foundation for research by identifying gaps in existing knowledge, contextualizing findings, and ensuring that the research is built upon verified studies.
Information that must be reported includes the purpose of the review, key themes and findings from the literature, methodological approaches, and any relevant data that supports the analysis.
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