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In experiments, an experimenter manipulates some aspect of a process or task and randomly assigns subjects to different levels of the manipulation ("experimental conditions"). The experimenter then observes whether variation in the manipulated variables cause differences in the dependent variable. Manipulation checks are targeted at variables ...
An inquest is a judicial inquiry in common law jurisdictions, particularly one held to determine the cause of a person's death. [1] Conducted by a judge, jury, or government official, an inquest may or may not require an autopsy carried out by a coroner or medical examiner. Generally, inquests are conducted only when deaths are sudden or ...
Experiments might be categorized according to a number of dimensions, depending upon professional norms and standards in different fields of study. In some disciplines (e.g., psychology or political science), a 'true experiment' is a method of social research in which there are two kinds of variables.
The history of scientific method considers changes in the methodology of scientific inquiry, not the history of science itself. The development of rules for scientific reasoning has not been straightforward; scientific method has been the subject of intense and recurring debate throughout the history of science, and eminent natural philosophers and scientists have argued for the primacy of ...
Two successive inquests, in May 1981 and May 2004, have returned open verdicts on the victims of the New Cross house fire in which 13 black teenagers were killed by a fire at a birthday party. The families of the victims have long believed that the fire was started deliberately, possibly as a racist attack, and the verdict was interpreted as a ...
Such experiments, while not perfect, are generally considered to be the best available way to estimate the cause and effect relationship of one variable to another. [3] Other research designs not using random assignment are also considered to be experiments (or "quasi-experiments") because they entail human manipulation of the causal ...
There is methodological problem in selecting on the explanatory variable, however. They do warn about multicollinearity (choosing two or more explanatory variables that perfectly correlate with each other). They argue that random selection of cases is a valid case selection strategy in large-N research, but warn against it in small-N research.
A way to design psychological experiments using both designs exists and is sometimes known as "mixed factorial design". [3] In this design setup, there are multiple variables, some classified as within-subject variables, and some classified as between-group variables. [3] One example study combined both variables.