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Research design refers to the overall strategy utilized to answer research questions. 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 ]
This redirect may meet Wikipedia's criteria for speedy deletion because it is holding up a page move that is non-controversial or consensual, for instance reversing a redirect. The page to be moved to this name is Bottom–up and top–down design
Bottom-up integration testing, in software testing; Top-down and bottom-up design, strategies of information processing and knowledge ordering; Bottom-up proteomics, a laboratory technique involving proteins; Bottom Up Records, a record label founded by Shyheim; Bottom-up approach of the Holocaust, a viewpoint on the causes of the Holocaust
Biased competition theory advocates the idea that each object in the visual field competes for cortical representation and cognitive processing. [1] This theory suggests that the process of visual processing can be biased by other mental processes such as bottom-up and top-down systems which prioritize certain features of an object or whole items for attention and further processing.
Investors using fundamental analysis can use either a top-down or bottom-up approach. The top-down investor starts their analysis with global economics, including both international and national economic indicators. These may include GDP growth rates, inflation, interest rates, exchange rates, productivity, and energy prices. They subsequently ...
Top-down reading, is a part of reading science that explains the reader's psycholinguistic strategies in using grammatical and lexical knowledge for comprehension rather than linearly decoding texts. Top-down proteomics, a method for protein analysis; Top-down effects, effects of population density on a resource in a soil food web
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Agglomerative: This is a "bottom-up" approach: Each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy. Divisive: This is a "top-down" approach: All observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.