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In configuration management, a baseline is an agreed description of the attributes of a product, at a point in time, which serves as a basis for defining change. [1] A change is a movement from this baseline state to a next state. The identification of significant changes from the baseline state is the central purpose of baseline identification ...
A baseline in science (including medicine) is the initial conditions found by observation and measurement at the beginning of a survey or clinical trial or which is used for comparison with later data collected during or after the survey or trial to identify and measure changes, often with the intention of assessing the effects of a treatment or procedure.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
In order to determine the effect of the independent variable on the dependent variable, the researcher will graph the data collected and visually inspect the differences between phases. If there is a clear distinction between baseline and intervention, and then the data returns to the same trends/level during reversal, a functional relation ...
Multiple baseline tests are used to determine the helpfulness of an intervention. By focusing daily data collection on one participant, researchers can prepare to expand their research. This research method yields a high amount of data that can be analyzed by researchers.
Cleverdon’s experiments established a number of key aspects required for IR evaluation: a test collection, a set of queries and a set of pre-determined relevant items which combined would determine precision and recall. Cleverdon's approach formed a blueprint for the successful Text Retrieval Conference series that began in 1992.
They often employ particular methods or recruiting participants. Multiple baseline designs are associated with potential confounds introduced by experimenter bias, which must be addressed to preserve objectivity. Particularly, researchers are advised to develop all test schedules and data collection limits beforehand.
From the data collected one can calculate the number of trees per acre, the basal area, the volume of trees in an area, and the value of the timber. Inventories can be done for other reasons than just calculating the value. A forest can be cruised to visually assess timber and determine potential fire hazards and the risk of fire. [2]