BUU22593 Qualitative Research Methods Assignment Example TCD Ireland
Research methods are essential in any field of study. When working on a research project, it is important to choose the right method for gathering information. In this assignment, we will explore qualitative research methods and how they can be used in different areas of study. We will also look at some examples of qualitative research projects to see how these methods were used effectively. Finally, we will discuss the benefits and drawbacks of using qualitative research methods and provide tips for conducting successful qualitative research projects.
Qualitative research methods use open-ended questions and unstructured interviews to gather data that is then analyzed to reveal themes. This type of research is best suited for investigations into people’s opinions, feelings, and experiences.
Qualitative research is often seen as more subjective than quantitative research, which uses closed-ended questions and structured interviews to gather data that is then analyzed to reveal patterns. However, qualitative researchers argue that although their data may be less precise, it is richer and more informative. They claim that through the careful analysis of open-ended responses, they can gain a deeper understanding of the complexities of human behavior.
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In this course, there are many types of assignments given to students like individual assignments, group assignments, reports, case studies, final year projects, skills demonstrations, learner records, and other solutions given by us.
In this section, we are describing some tasks. These are:
Assignment Task 1: Explain the difference between qualitative and quantitative research.
Qualitative research is a type of social research that is based on unstructured data. This data can be in the form of words, images, or videos. The focus of qualitative research is on discovering the meanings that people attach to their experiences and behavior. Qualitative researchers don’t usually use numbers to analyze their data, instead, they use words or phrases to describe what they have found.
Quantitative research is a type of social research that is based on data that can be measured. This data can be in the form of numbers, statistics, or percentages. The focus of quantitative research is on understanding relationships between different variables. Quantitative researchers use maths and statistics to analyze their data.
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Assignment Task 2: Develop a qualitative research proposal.
In order to develop a qualitative research proposal, one must first understand the difference between qualitative and quantitative research methods. Qualitative research is based on unstructured interviews or focus groups in which researchers explore a certain topic in-depth. This type of research is beneficial in that it allows for open-ended conversations which can yield rich and insightful data.
Qualitative research proposals should typically include an introduction to the topic, a literature review, methodology, and finally, data analysis and discussion. It is important to note that qualitative proposals are not as rigid as quantitative proposals; researchers are given more freedom to explore different angles and topics related to their study. Consequently, qualitative proposals tend to be longer than quantitative proposals.
Assignment Task 3: Explain the underlying assumptions and ethical principles related to research.
The ethical principles related to research are deontology, utilitarianism, and virtue ethics. Each ethical principle has its own set of underlying assumptions.
Deontology is the ethical principle that holds that an act is inherently good or bad regardless of the consequences. Underlying assumptions of deontology include the belief in intrinsic value (something is good in and of itself), duty (a moral obligation to do something), and universalizability (the idea that a rule should be applicable to everyone in similar situations).
Utilitarianism is the ethical principle that holds that the best action is the one that results in the most happiness or pleasure for the greatest number of people. Underlying assumptions of utilitarianism include the belief in instrumental value (something is good because of its consequences) and impartiality (the idea that all people should be treated the same).
Virtue ethics is the ethical principle that holds that a person’s behavior can be judged according to the character, or virtues, they demonstrate. Underlying assumptions of virtue ethics include the belief in teleology (the end justifies the means) and excellence (the idea that humans should strive to be their best).
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Assignment Task 4: Apply – at a basic level – four distinct qualitative research methods.
- Observations – The researcher simply observes what is happening in the natural setting and records what is observed without trying to influence the situation in any way. This type of research is often used in anthropological studies.
- interviews – In an interview, the researcher talks to people who are knowledgeable about the topic being studied in order to get their perspectives. This type of research is often used in social science research.
- Questionnaires – A questionnaire is a survey that asks people specific questions about their attitudes or opinions on a given topic. This type of research is often used in marketing research and political polling.
- Content Analysis – Content analysis involves studying the content of documents or other media (e.g., TV shows, movies) to determine the frequency of different themes or messages. This type of research is often used in advertising and media studies.
Assignment Task 5: Explain – at a basic level – approaches to data collection and data analysis.
Data collection is the process of gathering data from a variety of sources. The purpose of data collection is to provide information that can be used to make informed decisions.
There are a number of different approaches to data collection, including surveys, focus groups, interviews, and observational studies. Each approach has its own strengths and weaknesses.
Data analysis is the process of examining data and extracting meaningful information from it. The purpose of data analysis is to understand what the data tells us about the phenomenon under study. There are a number of different methods for analyzing data, including descriptive statistics, correlation analysis, regression analysis, and chi-square analysis.
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