The research process Name: Institution: Introduction Data collected from a research process needs to undergo analysis in order to obtain proper deduction form the research process. This data analysis is a process that involves the inspection, cleaning and transforming raw data collected with the main objective of deducting the required information…
In this paper, I chose to describe data analysis through the use of transcripts of some conversational data. The method of data analysis chosen for this requires an individual to have knowledge of analyzing this form of data. As such, I will describe the process of data analysis and its antique aspects through the use of conversational data analysis technique. This is a technique that is also sometimes referred to as ethno-methodological analysis of data. Though the two names sometimes use separate techniques, they encompass the same aspects. Conversational data analysis, as the name suggests, is a data analysis technique used in the analysis of data form conversational transcripts. As such, I am going to validate the various characters of this method and its aspects such as methodological techniques and issues that affect the analysis of data. In order to depict this, I will apply this technique in the practical analysis of an example passage of a transcript conversation. Conversational data analysis Conversational data analysis, sometimes known as CA, is the social interactions study approach focusing on both verbal and non-verbal social conducts as they occur in everyday life activities. This method of analysis started with the main focus on casual conversations among different people but with time it evolved. Currently, it constitutes various aspects of the social environment including institution centered interactions such as interactions within educational settings, the mass media, help lines, and law courts. It has with time developed into a distinctive and successful technique in the process of analysis of social interactions (Heritage, 1999). At the moment, conversational analysis of data is widely applied in various fields such as linguistics, sociology, psychology, anthropology, and speech communication. This analysis method is particularly fundamental in aspects such as discourse analysis, discursive analysis, and interactional sociolinguistics. According to Livingstone (2009), conversational analysis tends to be unique as a result of its principal focus is mainly in discussing social interaction processes and does not take into account larger socio-cultural phenomenon or texts. It also aims at investigating the resources and techniques used in interactional participation in order to produce interactional contribution and justify others contributions. In general, it can be stated that conversational analysis is not aimed at investigating the interactions productions form an external perspective to the characters reasoning and understanding of their situation and communication. Rather, the main objective is to model the methods and resources that produce those understandings. Methodological strategies in conversational analysis Conversational analysis strategies lie in studying the sense making activities in characters that are especially prominent in the interaction. These interactive situations may be those with great differences, such as the existing expectations or competencies. On the other hand, interpretative tasks or practical behavior necessitates the extraordinary efforts by members to sense make on the conversation. The occurrence of these situations may be either as purposely created or naturally occurring. Another strategy was developed in order to avert the challenges that arise due to such ...
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Milligan and Robinson (2003) claim the risk of harm has been significantly higher in the recent years. They claim that error or critical incidents happen in around 10% of admissions. They assert that medical decisions, drugs, and even medical devices reportedly harm more patients.
The family category includes factors that are genetic and family rituals that encourage obesity among the members. Some of these rituals include lack of family exercises, food prevalence and other family related routines. The obesity in the community level may arise due to the environment and factors of communal activities that may be encouraging most people to acquire this disorder.
Other additional data such as the populace of teenager used in this research, gravidity, and pregnancy termination data was retrieved from the Alan Gutttmacher Institute. It is also important to posit that all data on birth rate in reference to the total number of teenagers in the study population was retrieved from the national Center for Health Statistics.
To achieve the said goal, it utilize varied mathematical principles and series of procedures to obtain and process the needed data, important in the decision making process, in the event that concerned persons are faced with uncertainty.
On the other hand, research process is generally a step by step process which is basically applied to discover and justify certain phenomena, evaluate a process or certain programs, directed to clarify issues, policy making, and finally improve systems as well as total quality of life.
The article under review focuses on the problems associated with provision of care for people with type 2 diabetes. In the introductory paragraphs Pooley and his colleagues clearly state the purposes of their study, namely: to identify the issues which both patients and practitioners perceive as highly essential to the effective management of the diabetic condition, reveal the extent of coincidence between the views of both groups, and relate the findings to concepts of patient empowerment.
The determination process is hereby presented below:-
Stage 1: Objective of the research: - The primary objective of the research is to determine the characteristics required to incorporate in a new line of ravel services and destinations targeted in order to
One of the sectors that has been adversely affected by this high population density is health and medical services. The provision for health and medical services has become more complex in areas with low population density, therefore
Robinson & Frank (1994) hypothesize that teenage males who are active sexually usually have higher self-esteem levels over those males who are non-active sexually. Secondly, the research also theorizes that sexually active teenage females report lower self-esteem levels than
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