Dq-Terence Essay Example | Topics and Well Written Essays - 1250 words

Dq-Terence - Essay Examplelem and proceed towards the query questions, then the collection of data, followed by data depth psychology and later on the research report generation (Seidman, 2012).Both the studies also explore various types of qualitative and quantitative approaches with an aim to extract the exact information about a true phenomenon. The data collection techniques in both approaches are similar since they all employ the use of questionnaires, interviews, audiovisual materials and many other types of techniques for obtaining the information (Silverman, 2013).In cost of focus, Phenomenological research is mainly aimed at comprehending the purpose of the occurrence of existence of a certain phenomenon while case studies focus to develop a conclusive analysis and description of a particular case that may be individual or in multiple forms (Creswell, 2013).In terms of the type of Problem desirable for design, Phenomenological research mainly handles the importance of e xistence of a phenomenon that already exists in the real world while Case Studies mainly seeks to provide an understanding of a particular case or various multiple cases (Creswell, 2013).In terms of background of the discipline phenomenological research is mainly applied in education, philosophy and psychology while case studies is widely applicable in the fields of medicine, psychology, political science and law (Creswell, 2013).In resemblance to Unit of Analysis, Phenomenological research relies on the contain of similar experiences shared by various individuals while case studies analyses a specific event, an activity, a program and it incorporates more than one individual (Creswell, 2013).In relation to the data collection forms, phenomenological research the primary data collection tools and techniques adopted are individual interviews. However, art, observations and secondary sources such as documentations may also be used. Case StudiesIn terms of strategies of data analysis Phenomenological research, data