BSBINS603 Initiate and lead applied research Activity 1: Formulate a research proposal or plan This activity requires the student to formulate a research proposal. The research proposal must include: A clear and detailed statement of the research purpose and question or hypothesis being investigated and how it meets the needs of the target group. A description of the geographical, cultural, social or institutional context within which the research will be carried out. A clear and detailed statement of the policies and procedures for conducting the research which includes consideration of all ethical requirements relevant to the context and how data will be collected and stored. A description of the research methodology, data collection and analysis method to be used, population or sample size and factors affecting the integrity, validity and reliability of the research. An analysis of the limitations of the research within the specific context, which are to be considered when designing the research questions and procedures. Document the requirements above by using the template provided below. THE RESEARCH PROPOSAL TEMPLATE This document has been set up to assist you in preparing the text for your research proposal. It will help you set out the research proposal, in terms of text layout, section headings and sub-sections. The Research Proposal is a complete description of the intended research, developed under the supervision of the assigned supervisor. Through the full proposal, you must demonstrate that the study will contribute to the solution of the problem. The full research proposal must be between 800-1000 words and should include the following: Title Brief Introduction Background and statement of the problem (including a thorough literature review) Research question or hypothesis, aim and objectives Study design (the type of study) Study population and sampling Data collection methods and instruments Data analysis methods - if applicable statistical planning must be fully addressed, or the candidate should provide evidence that statistics are not required. Mechanisms to assure the quality of the study - e.g. control of bias, safe storage of data