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In the statistical theory of the design of experiments, blocking is the arranging of experimental units that are similar to one another in groups (blocks) based on one or more variables. These variables are chosen carefully to minimize the affect of their variability on the observed outcomes.
Blocking Blocking (right) Blocking is the non-random arrangement of experimental units into groups (blocks) consisting of units that are similar to one another. Blocking reduces known but irrelevant sources of variation between units and thus allows greater precision in the estimation of the source of variation under study. Orthogonality
In Kamin's blocking effect [1] the conditioning of an association between two stimuli, a conditioned stimulus (CS) and an unconditioned stimulus (US) is impaired if, during the conditioning process, the CS is presented together with a second CS that has already been associated with the unconditioned stimulus.
In statistics, the concept of a block design may be extended to non-binary block designs, in which blocks may contain multiple copies of an element (see blocking (statistics)). There, a design in which each element occurs the same total number of times is called equireplicate, which implies a regular design only when the design is also binary ...
The Friedman test is used for one-way repeated measures analysis of variance by ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks. The Friedman test is widely supported by many statistical software packages .
Blocking (linguistics), where the existence of a competing form blocks the application of a morphological process; Blocking (statistics), in the design of experiments, the arranging of experimental units in groups (blocks) which are similar to one another; Atmospheric blocking, a phenomenon in meteorology of large scale stationary pressure cells
White explained in an email that his reaction to Hazelden’s plan was “one of pleasant surprise that a leading addiction treatment program would so value the emerging addiction science and be so committed to improving recovery outcomes that it would be willing to weather potential controversy that could affect its business interests.”
Peer review is a process that can assist in reducing instances of confounding, either before study implementation or after analysis has occurred. Peer review relies on collective expertise within a discipline to identify potential weaknesses in study design and analysis, including ways in which results may depend on confounding.