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Exploratory research is "the preliminary research to clarify the exact nature of the problem to be solved." It is used to ensure additional research is taken into consideration during an experiment as well as determining research priorities, collecting data and honing in on certain subjects which may be difficult to take note of without exploratory research.
e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...
Exploratory search is a specialization of information exploration which represents the activities carried out by searchers who are: [1] unsure about their goals in the first place. Exploratory search is distinguished from known-item search, for which the searcher has a particular target in mind. Consequently, exploratory search covers a broader ...
A research design typically outlines the theories and models underlying a project; the research question (s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
A working hypothesis is a hypothesis that is provisionally accepted as a basis for further ongoing research [1] in the hope that a tenable theory will be produced, even if the hypothesis ultimately fails. [2] Like all hypotheses, a working hypothesis is constructed as a statement of expectations, which can be linked to deductive, exploratory ...
Exploratory research, which helps to identify and define a problem or question. Constructive research, which tests theories and proposes solutions to a problem or question. Empirical research, which tests the feasibility of a solution using empirical evidence.
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In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. [1] It is commonly used by researchers ...