Research Design/Data Collection/Data Processing/Data Manipulation/Data presentation/Data Analysis/Findings ABOUT 2000 words Initially, a research framework will be identified and discussed to address the research question. In addition, a theoretical framework will be established along with the philosophical assumptions of academic research in order to explain the structure of the research topic. The identified theory will be associated with the research framework and research data in order to address the research question and explain what happens as well as the findings. Then it emphasizes upon that well-chosen and well implemented methods for data collection, data processing, Data Manipulation, Data Presentation and Data analysis that are essential for all types of research project evaluations. This assignment provides an overview of what constitutes ‘success’ and how the data will be collected, processed, manipulated, presented, analysed and synthesized to answer the specific key research questions of your research project. Secondary data must be collected up front which should be geared towards the mix of evidence needed to make appropriate judgements about the outcomes of your research. In other words, the analytical framework – the methodology for analysing the ‘meaning’ of the data by looking for patterns in a systematic and transparent manner – should be specified during this assignment. The framework includes how data analysis will address assumptions made in the theory of change about how the research was conducted to produce the intended results. In a true mixed qualitative and quantitative data methods evaluation, this includes using appropriate numerical and textual analysis methods and triangulating multiple data sources and perspectives in order to maximize the credibility of the research findings. Data collection, data processing, Data Manipulation, Data Presentation and Data analysis methods should be chosen to match the particular evaluation in terms of its key research questions identified in Previous assignment and the resources available. Data Presentation and Data analysis in particular should make maximum use of existing data and then fill gaps with other data available. Data collection and analysis methods should be chosen to complement each other’s strengths and weaknesses. Students should ensure that they make use maximum use of existing data, identify and address the gaps in the data, use a range of data collection and analysis methods, selected data collection and analysis methods are feasible, the quality of the data is managed, deal with specific issues in ensuring quality in data collection, and identifying data needs through appropriate unpacking of key concepts. The Content should contain 2 chapters as mentioned below in the marking criteria . Please make sure all the contents required are covered . PLEASE FIND THE MARKING CRITERIA BELOW