1992 | OriginalPaper | Buchkapitel
One-Way Designs with Quantitative Factors
verfasst von : Harold R. Lindman
Erschienen in: Analysis of Variance in Experimental Design
Verlag: Springer New York
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In some designs, meaningful numerical values can be assigned to the factor levels. An example of this might be a study of extinction (i.e., “unlearning”) of a learned response after 10, 20, 30, 40, 50, and 60 learning trials. The six numbers of learning trials are the six levels of the factor being studied; the data are the numbers of trials to extinction. The labels on the factor levels in this experiment are meaningful numerical values: Thirty trials are 20 more than 10, 60 are 40 more than 20, and so on. If the cell means from such an experiment were plotted in a graph, they might look like those in Figure 10.1 (taken from the data in Table 10.1); in this graph the numerical values of the factor levels dictate both their order and their spacing along the X axis. By contrast, for the data plotted in Figure 3.1, both the ordering and the spacing of the factor levels were arbitrary.