Content analysis is one of the classical procedures for analysing textual material, no matter where this content comes from – ranging from interview data, videos to media products. It analyses communication matter in various formats. The communication might be between individuals, groups or any form of public communication. It is one of the main techniques used when applying qualitative analysis. Dissertation India has a team of experienced professionals, who have successfully conducted qualitative research using content analysis method for numerous PhD Dissertations and theses. Researchers in the field of social science vouch by our services in this field.
Our consultation on content analysis in a qualitative research is thorough and includes coding as well. As such, if you need support in coding or writing the results and discussion chapter, you have reached the right place. We also offer use of Nvivo for conducting qualitative research, however researcher must have previous experience in the field of qualitative research to be able to understand the workings and suggest modifications.
The first step in content analysis is to define the material, to select interviews or those parts that are relevant for answering the research question. The next step is to analyse the situation of data collection, which includes how the material was generated, who was involved and who was present in the interview situation. In the third phase, the collected material and responses are characterised, which may include details on how the content was documented. One of the critical features is the use of categories, which are mostly obtained from theoretical models. At the fourth stage, we define the direction of analysis of the chosen texts and material. This step also outlines what the researcher intends to interpret from the data.
In summarising content analysis, the material is paraphrased, which means that less relevant passages and paraphrases with repeated meaning are omitted and similar paraphrases are put together. The researcher must also be cautious to note any differences between the obvious and implied meaning of the communication being studied. The literal or quantitative meaning must be differentiated from the inferred or qualitative meaning. To know more about the rules of content analysis, do get in touch with us.
Previous researchers advise that the "research question of analysis must be clearly defined in advance, must be theoretically linked to earlier research on the issue and generally has to be differentiated in sub-questions" (Marying 2000, 2004). Hence, we would first examine your topic for the dissertation, the statistics you have collected and the previous work done on the subject. We use the content analysis technique for making inferences about the antecedents, impact and characteristics of a communication. Be assured that, whatever the type of information you collect and bring to us, we would interpret in the best possible manner and deliver accurate results.
The purpose of this study was to analyze the contents of music education dissertations written from 1998 through 2002 that used qualitative research methods. We analyzed 148 dissertation abstracts to determine the degree type, year and country in which the dissertation was written, type of qualitative research methods used, and topics. Results showed that the Ph.D. was by far the most awarded degree, followed by the Ed.D. and D.M.E.. Overall, the 148 qualitative dissertations in this study were 21.93% of the 675 music education dissertations written in 1998-2002. The number of qualitative dissertations written per year ranged from 25 to 31. Although some authors identified their dissertation as simply "qualitative," most specified the type of data collection and analysis method they used. Case study was used most, followed by ethnography, participant observation, focus group, phenomenological, grounded theory, and others. Some authors who wrote case studies labeled them as being collective, comparative, group, historical, intrinsic, longitudinal, multiple, multi-site, and naturalistic. Multicultural, music programs (academic, geographic, religious), and teacher education (including student teaching) were the most researched topics, followed by curriculum integration, instructional strategies, ensemble (members), and others.