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Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .
The American psychologist John B. Carroll (June 5, 1916 – July 1, 2003) made substantial contributions to psychology, psychometrics and educational linguistics. In 1993, Carroll published Human Cognitive Abilities: A Survey of Factor-Analytic Studies, in which he presented 'A Theory of Cognitive Abilities: The Three-Stratum Theory'. Carroll ...
Stevens authored a milestone textbook, the 1400+ page Handbook of Experimental Psychology (1951). He was also one of the founding organizers of the Psychonomic Society. In 1946 he introduced a theory of levels of measurement widely used by scientists but whose use in some areas of statistics has been criticized. [3]
Measurement in psychology and physics are in no sense different. Physicists can measure when they can find the operations by which they may meet the necessary criteria; psychologists have to do the same. They need not worry about the mysterious differences between the meaning of measurement in the two sciences (Reese, 1943, p. 49). [9]
Fiske proposed that the four discrete types of relationships correspond to Stevens's four levels of measurement. [2] CS relationships resemble the categorical (nominal) scales of measurement in that all members of the relationship are equivalent. AR resembles an ordinal scale given that members of the relationship are placed in a linear ordering.
It is when a Likert scale is symmetric and equidistant that it will behave more like an interval-level measurement. So while a Likert scale is indeed ordinal, if well presented it may nevertheless approximate an interval-level measurement. This can be beneficial since, if it was treated just as an ordinal scale, then some valuable information ...
A three-step process is proposed for choosing an affective measure. [1] Firstly, consider what the specific construct it is that you want to measure. Secondly, choosing the theoretical framework in accordance with the construct. Lastly, evaluate the psychometric feature of the measures available (e.g. reliability, validity, etc.).
Behaviorism viewed the human being as an animal subject to reinforcements, and suggested making psychology an experimental science, similar to chemistry or biology. Consequently, clinical trials on self-esteem were overlooked, since behaviorists considered the idea less amenable to rigorous measurement. [17]