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The PICO process (or framework) is a mnemonic used in evidence-based practice (and specifically evidence-based medicine) to frame and answer a clinical or health care related question, [1] though it is also argued that PICO "can be used universally for every scientific endeavour in any discipline with all study designs". [2]
A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1] Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department.
Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation errors. The original data values which fall into a given small interval, a bin , are replaced by a value representative of that interval, often a central value ( mean or median ).
LOTS is an acronym, suggested by Cattell in 1957 and later elaborated by Block, to provide a broad classification of data source for personality psychology assessment. [1]: 673 Each data source has its advantage and disadvantage. Research on personality commonly employ different data source so as to represent better the pattern of one's ...
The reverse correlation technique is a data driven study method used primarily in psychological and neurophysiological research. [1] This method earned its name from its origins in neurophysiology, where cross-correlations between white noise stimuli and sparsely occurring neuronal spikes could be computed quicker when only computing it for segments preceding the spikes.
For example, viewing a positively valenced picture of a cute cat is associated with low motivational intensity because participants like it but are not intrinsically driven towards it. In contrast, viewing a positively valenced picture of a dessert is associated with high motivational intensity because participants want and desire it. [ 2 ]
Holland defines the "Conventional Type" as a person who has "a preference for actives that entail the explicit, ordered, systematic manipulation of data (keeping records, filing materials, reproducing materials, organizing business machines and data processing equipment to attain organizational or economic goals)...these behavioral tendencies ...
Cluster data describes data where many observations per unit are observed. This could be observing many firms in many states or observing students in many classes. In such cases, the correlation structure is simplified, and one does usually make the assumption that data is correlated within a group/cluster, but independent between groups/clusters.