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Encyclopedia > Thurstone scale

In psychology, the Thurstone scale was the first formal technique for measuring an attitude. It was developed by Louis Leon Thurstone in 1928, as a means of measuring attitudes towards religion. It is made up of statements about a particular issue, and each statement has a numerical value indicating how favorable or unfavorable it is judged to be. People check each of the statements to which they agree, and a mean score is computed, indicating their attitude. Psychology is an academic and applied field involving the study of the human mind, brain, and behavior. ... Attitude is a key concept in psychology. ... Louis Leon Thurstone (29 May 1887–29 September 1955) was a psychometrician most notable for his contributions to factor analysis with regard to psychological tests. ... 1928 (MCMXXVIII) was a leap year starting on Sunday (link will take you to calendar). ... In statistics, mean has two related meanings: the average in ordinary English, which is also called the arithmetic mean (and is distinguished from the geometric mean or harmonic mean). ...


Thurstone scale

Thurstone's method of pair comparisons can be considered a prototype of a normal distribution-based method for scaling-dominance matrices. Even though the theory behind this method is quite complex (Thurstone, 1927a), the algorithm itself is straightforward. For the basic Case V, the frequency dominance matrix is translated into proportions and interfaced with the standard scores. The scale is then obtained as a left-adjusted column marginal average of this standard score matrix (Thurstone, 1927b). The underlying rationale for the method and basis for the measurement of the "psychological scale separation between any two stimuli" derives from Thurstone's Law of comparative judgment (Thurstone, 1928). The normal distribution, also called Gaussian distribution (although Gauss was not the first to work with it), is an extremely important probability distribution in many fields. ... Conceived by L. L. Thurstone, the law of comparative judgment (LCJ) is a general mathematical representation of a discriminal process, which is any process in which a comparison is made between pairs of a collection of entities with respect to magnitudes of an attribute, trait, attitude, and so on. ...


The principal difficulty with this algorithm is its indeterminacy with respect to one-zero proportions, which return z values as plus or minus infinity, respectively. The inability of the pair comparisons algorithm to handle these cases imposes considerable limits on the applicability of the method.


The most frequent recourse when the 1.00-0.00 frequencies are encountered is their omission. Thus, e.g., Guilford (1954, p. 163) has recommended not using proportions more extreme than .977 or .023, and Edwards (1957, pp. 41-42) has suggested that “if the number of judges is large, say 200 or more, then we might use pij values of .99 and .01, but with less than 200 judges, it is probably better to disregard all comparative judgments for which pij is greater than .98 or less than .02."’ Since the omission of such extreme values leaves empty cells in the Z matrix, the averaging procedure for arriving at the scale values cannot be applied, and an elaborate procedure for the estimation of unknown parameters is usually employed (Edwards, 1957, pp. 42-46). An alternative solution of this problem was suggested by Krus and Kennedy (1977).


With later developments in psychometric theory, it has become possible to employ direct methods of scaling such as application of the Rasch model or unfolding models such as the Hyperbolic Cosine Model (HCM) (Andrich & Luo, 1993). The Rasch model has a close conceptual relationship to Thurstone's law of comparative judgment (Andrich, 1978), the principal difference being that it directly incoroporates a person parameter. Also, the Rasch model takes the form of a logistic function rather than a cumulative normal function. Rasch models are probabilistic measurement models which find their application primarily in psychological and attainment assessment, and are being increasingly used in other areas, including the health profession. ...


References

  • Andrich, D. (1978b) Relationships between the Thurstone and Rasch approaches to item scaling. Applied Psychological Measurement, 2, 449-460.
  • Andrich, D. & Luo, G. (1993) A hyperbolic cosine model for unfolding dichotomous single-stimulus responses. Applied Psychological Measurement, 17, 253-276.
  • Babbie, E., 'The Practice of Social Research', 10th edition, Wadsworth, Thomson Learning Inc., ISBN 0-534-62029-9
  • Edwards, A. L. Techniques of attitude scale construction. New York: Appleton-Century- Crofts, 1957.
  • Guilford, J. P. Psychometric methods. New York: McGraw-Hill, 1954.
  • Krus, D.J., & Kennedy, P.H. (1977) Normal scaling of dominance matrices: The domain-referenced model. Educational and Psychological Measurement, 37, 189-193 (Request reprint).
  • Krus, D.J., Sherman, J.L., & Kennedy, P.H. (1977) Changing values over the last half-century: the story of Thurstone's crime scales. Psychological Reports, 40, 207-211 (Request reprint).
  • Thurstone, L. L. (1927a) A Law of comparative judgment. Psychological Review, 34, 273-286.
  • Thurstone, L. L. (1927b) The method of paired comparisons for social values. Journal of Abnormal and Social Psychology, 21, 384-400.
  • Thurstone, L. L. (1928). Attitudes can be measured. American Journal of Sociology, 33, 529-54.

Earl Robert Babbie (January 8, 1938 - present) is a professor of sociology and behavioral sciences at Chapman University, United States. ...

See also


  Results from FactBites:
 
UNIVERSITY OF MANITOBA MCHPE: CANCER NURSING RESEARCH GROUP (DEGNER - Thurstone) (940 words)
Thurstone scores have an infinite range, although scores outside the range of -3 to +3 are unlikely (this would represent a "voter unanimity" of 99.9%).
Thurstone recommended that any item that had a support level of more than 98% or less than 2% be scored as if it had achieved the 2% or 98% level.
Thurstone scores are produced by estimating each item's measure of variability and multiplying the individual z-scores by these estimates before calculating the average.
  More results at FactBites »


 

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