• Develop two to three research questions and two to three research objectives
• Justify the choice of research topic including the background and context of the research
• Develop a critical literature review of the research topic.
• Design a research methodology based on the topic above. This would require you to develop a research design and justify your choice as appropriate. Your research design should include the following:
Research Philosophy (e.g., positivism, interpretivism, realism and pragmatism)
Research Approach (inductive or deductive)
Research strategy
• Discuss and justify the Data collection methods – type of data, sampling method and target group
• Discuss the Data analysis procedure to be adopted
• Discuss the possible ethical issues that need to be considered in this research and
• Discuss any possible limitations to this research
• Support with relevant references (Harvard format)
• Provide a research plan (timescale)
In your data collection and data analysis section, discuss how you would collect primary data through the use of one or a combination of methods of data collection methods e.g. questionnaire, interview, focus groups, observation, etc., and how you would analyse this data.
The above requirements are indicated as the required areas of focus for you to articulate your individual responses. The submission of your work for assessment should be organised and clearly structured in the order outlined above.
Module Learning Outcomes to be assessed:
• Understand the scientific process, its application in economics and business, and its utilisation in the problem-solving approach to social work practice.
• Demonstrate the skills necessary to assess and interpret existing research as a prelude to carrying out further investigation.
• Demonstrate knowledge and understanding of a range of research designs and their appropriate utilisation by social workers.
• Conceptualise a problem; formulate hypotheses and objectives; design a research strategy, collecting, analysing, and interpreting both quantitative and qualitative data, including commonly encountered statistical procedures.
• Understand the theoretical principles underlying inferential and descriptive statistics.
• Analyse datasets appropriately using SPSS.
• Engage in critical thinking when reading and comprehending research articles.
• Choose the most appropriate statistical analyses, interpret the results, and write up the results accurately and completely.
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