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In statistics and regression analysis, moderation (also known as effect modification) occurs when the relationship between two variables depends on a third variable.The third variable is referred to as the moderator variable (or effect modifier) or simply the moderator (or modifier).
Moderator variable, in statistics, a qualitative or quantitative variable that affects the direction and/or strength of the relation between dependent and independent variables; Sound moderator, a suppressor attached to a firearm; A faction in the Regulator–Moderator War; Discussion moderator, a person who controls the tone of a discussion or ...
A discussion moderator or debate moderator is a person whose role is to act as a neutral participant in a debate or discussion, holds participants to time limits and tries to keep them from straying off the topic of the questions being raised in the debate. Sometimes moderators may ask questions intended to allow the debate participants to ...
A "moderator" is one name for the formal position of one who presides over a discussion, helping to ensure that the discussion is balanced among its many voices, for example in the Methodist church's use of the term for the heads of its conferences. A neutron moderator is used to slow down neutrons in a nuclear reactor.
In addition, the treatment effect of A on the mediator B depends on the moderator (β 53 ≠ 0) and/or the effect of the mediator B on the outcome variable C depends on the moderator (β 65 ≠ 0). At least one of the products on the right side of the above equation must not equal 0 (i.e. either β 53 ≠ 0 and β 64 ≠ 0, or β 65 ≠ 0 and ...
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 ]
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.
The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]