Experimental Design
Bibliographic Data
| ID | 7078352 |
|---|---|
| Authors | Roger E Kirk (corresponding author) |
| Year | 2007 |
| Publication date | 2007-02-15 |
| Open Access | Yes |
| Type | OTHER |
| Venue | The Blackwell Encyclopedia of Sociology (JOURNAL) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405165518.wbeose087 |
| OpenAlex | W4230593947 |
| ISBN | 9781405165518 |
| Language | EN |
| References cited | 1 |
Experimentation involves the deliberate manipulation of one or more independent variables followed by the systematic observation of the effects of the manipulation on one or more dependent variables. The emphasis on experimentation in the sixteenth and seventeenth centuries as a way of establishing causal relationships marked the emergence of modern science from its roots in natural philosophy (Hacking 1983). According to the nineteenth‐century philosopher John Stuart Mill, a causal relationship exists if (a) the cause preceded the effect, (b) the cause was related to the effect, and (c) we can find no other plausible alternative explanation for the effect. Carefully designed and executed experiments continue to be one of science's most powerful methods for discovering causal relationships. An experimental design is a plan for assigning experimental units to treatment levels and the statistical analysis associated with the plan (Kirk 1995: 1). The design of an experiment involves a number of interrelated activities
Causal analysis · Causal inference · Econometrics · Epistemology · Mill · Natural (archaeology · Plan (archaeology · Computer Science · History · Mathematics · Philosophy · Philosophy and History of Science · Psychology
| Highly cited | No |
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