EVDV70042 15 Semester 2 Postgraduate Taught Level 7 Pauline Prevett Unit coordinator Haleema Sadia Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 <p>This unit will introduce you to a range of research projects using NVivo and will demonstrate how multimodal NVivo projects can be set up and aligned with a research design including their philosophical stances e.g. constructivism, critical realism.</p><p>While the practical aspect of the unit is a strong feature, it also has an important focus on critical analysis regarding the role of computer-aided qualitative research software and data interpretation. It also encourages developing a critical reflexivity within your research. The unit will further develop expertise in mixed-methods research methodologies and data visualisation.</p><p>The unit will allow you to apply a wide range of features of NVivo in the development of a project and help you to make informed decisions at every stage from, project planning to reportage.<br/>&nbsp;</p> <p>This unit will introduce you to a range of research projects using NVivo and will demonstrate how multimodal NVivo projects can be set up and aligned with a research design including their philosophical stances e.g. constructivism, critical realism.</p><p>While the practical aspect of the unit is a strong feature, it also has an important focus on critical analysis regarding the role of computer-aided qualitative research software and data interpretation. It also encourages developing a critical reflexivity within your research. The unit will further develop expertise in mixed-methods research methodologies and data visualisation.</p><p>The unit will allow you to apply a wide range of features of NVivo in the development of a project and help you to make informed decisions at every stage from, project planning to reportage.<br/>&nbsp;</p> <ul><li>Demonstrate (explain) the methods in which NVivo can be employed in qualitative and mixed-methods data analysis. &nbsp;</li><li>Manage and use multimodal methods within a project, including visuals.</li><li>Develop expertise and practical skills in using NVivo for qualitative/ mixed methods studies and in literature review methodology.</li><li>Situate the use of NVivo within wider parameters of research design and epistemology</li><li>Encourage rigorous and critical approaches to the visualisation of data and analysis<br/>&nbsp;</li></ul> <ul><li>analyse and discuss the management of multimodal data.</li><li>reflect on the relationship between epistemology and knowledge production in the development of NVivo project.</li><li>study a range of research setting to use NVivo, including reviewing literature, analysing data etc</li><li>critically reflect on how literature review methodology impacts the using of NVivo as a tool to aid literature reviews and</li><li>organise and analyse a body of literature using Nvivo as an aid.</li><li>examine the theoretical and practical issues that the researcher may face in using NVivo as a research tool.</li><li>gain awareness of the availability a range of qualitative data analysis packages, including some that are freeware.&nbsp;<br/>&nbsp;</li></ul> <ul><li>develop an ability to critically evaluate issues and developments in various computer aided software to conduct qualitative research.</li><li>critically evaluate analytical approaches and develop an analytical framework</li><li>make a reasoned argument with sound conclusion using NVivo (qualitative data analysis software).</li></ul> <ul><li>demonstrate an ability to manage, organise and analyse, literature, data, audiovisual, images and social media discussions within NVivo.</li><li>plan, execute, and export reports from NVivo.</li><li>create visual maps as a data display.</li><li>create a visual poster using powerpoint</li></ul> <ul><li>gather, organise and synthesis material from a range of sources to support an argument</li><li>create NVivo graphics (charts, diagrams, posters) and presenting them using appropriate media for academic audience.</li><li>enhance critical reflexivity.</li><li>develop one’s identity as an analyst, including as a qualitative data analysis software users.</li></ul> <p>A seminar approach is adopted throughout, with a combination of lectures, online resources, group discussions and individual learning.&nbsp;</p> 2 Written assignment (inc essay) 30% 6 Project output (not diss/n) 30% 7 Oral assessment/presentation 40% <p>Via Turnitin</p> Y Seminars 30 0 120