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Specifically within a correlational analysis framework, a moderator is a third variable that affects the zero-order correlation between two other variables, or the value of the slope of the dependent variable on the independent variable.
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 ...
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 ...
Since energy is conserved, this reduction of the neutron speed takes place by transfer of energy to a material called a moderator. The probability of scattering of a neutron from a nucleus is given by the scattering cross section. The first few collisions with the moderator may be of sufficiently high energy to excite the nucleus of the moderator.
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.
Qualitative research is characterized in various ways in the academic literature but there are very few precise definitions of the term. It is often used in contrast to quantitative research for forms of study that do not quantify their subject matter numerically.
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]