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The "thesis statement" comes from the concept of a thesis (θέσῐς, thésis) as it was articulated by Aristotle in Topica. Aristotle's definition of a thesis is "a conception which is contrary to accepted opinion." He also notes that this contrary view must come from an informed position; not every contrary view is a thesis. [3]
When the research is complete and the researcher knows the (probable) answer to the research question, writing up can begin (as distinct from writing notes, which is a process that goes on through a research project). In term papers, the answer to the question is normally given in summary in the introduction in the form of a thesis statement.
A research statement is a summary of research achievements and a proposal for upcoming research. It often includes both current aims and findings, and future goals. Research statements are usually requested as part of a relevant job application process, and often assist in the identification of appropriate applicants. [1]
At the micro level, also referred to as the local level, the research population typically is an individual in their social setting or a small group of individuals in a particular social context. Examples of micro levels of analysis include, but are not limited to, the following individual analysis type approach:
A problem statement is a description of an issue to be addressed, or a condition to be improved upon. It identifies the gap between the current problem and goal. The first condition of solving a problem is understanding the problem, which can be done by way of a problem statement. [1]
This is an accepted version of this page This is the latest accepted revision, reviewed on 10 February 2025. Work by academic candidate For other uses, see Thesis (disambiguation). "Dissertation" redirects here. For other uses, see Dissertation (disambiguation). Dutch 18th century doctoral ceremony at Leiden University shown on the frontispiece of a PhD thesis, Netherlands. Disputatio ...
In information science, profiling refers to the process of construction and application of user profiles generated by computerized data analysis.. This is the use of algorithms or other mathematical techniques that allow the discovery of patterns or correlations in large quantities of data, aggregated in databases.
In discussions of problem structuring methods, it is common to distinguish between two different types of situations that could be considered to be problems. [17] Rittel and Webber's distinction between tame problems and wicked problems (Rittel & Webber 1973) is a well known example of such types. [17]