Optimal Orders in the Method of Paired Comparisons

Scaling ◽  
2017 ◽  
pp. 106-109 ◽  
Author(s):  
Robert T. Ross
1960 ◽  
Vol 7 (3) ◽  
pp. 471-474 ◽  
Author(s):  
Sam L. Witryol ◽  
William F. Fischer

1981 ◽  
Vol 25 (1) ◽  
pp. 395-399 ◽  
Author(s):  
David J. Cochran ◽  
Michael W. Riley ◽  
Eileen I. Douglass

An examination was made of nineteen different geometric shapes of warning labels, using the method of paired comparisons. Sixty-six college students viewed slides of all pairs of the shapes and each time selected the shape that was the better indicator of warning. The binomial test was used to statistically test the difference between the shapes. Results showed that of the shapes tested, the triangle on its vertex (yield sign shape, ∇) was the best warning indicator.


2013 ◽  
Vol 75 (3) ◽  
pp. 369-371 ◽  
Author(s):  
Toshiro YAMAGUCHI ◽  
Yoshiro ENDO ◽  
Yasuo NAMBO ◽  
Fumio SATO ◽  
Naoki SASAKI ◽  
...  

Biometrika ◽  
1947 ◽  
Vol 34 (3-4) ◽  
pp. 363-365 ◽  
Author(s):  
P. A. P. MORAN

1971 ◽  
Vol 2 (3) ◽  
pp. 197-205
Author(s):  
Douglas B. Aichele

An Attitude Scale was developed to assess attitudinal changes in students enrolled in a terminal mathematics course taught at the University of Missouri-Columbia. Student attitudes, or opinions, were assessed in 4 areas (a) the learning of mathematics, (b) mathematics as a process, (c) the place of mathematics in society, and (d) school and learning generally. The method of paired comparisons was used to establish the scale values for the statement of the attitude instrument. For each part of the Attitude Scale, student (N=65) responses on the initial and terminal presentations were compared and the differences were not statistically significant. However, analysis of responses to individual statements within each part of the Attitude Scale revealed several significant changes.


2020 ◽  
Vol 8 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Robert Mayer

In the study of geometry, the student’s assimilation of the reasonings carried out in the theorems proofs has great importance. The diffi culty of understanding reasonings depends on the number of logical links, terms diversity and semantic complexity of mathematical statements. The article proposes the method for determining the didactic complexity of the theorems proofs and the results of its application. The essence of the method consists in “measuring” the amount of semantic information in theorem formulation, picture, reasonings and multiplication of the received volume with the diversity indicator of the terms used. For this, the theorem statement, the picture and the actual proof should be presented in text form, and the resulting file should be analyzed using a special computer program which calculates the number of diff erent terms in this text, takes into account their complexity, and fi nds the diversity indicator. The expert estimates complexity of terms by counting the words included in its defi nition and by the method of paired comparisons. An assessment of 12 frequently used theorems was carried out; this allowed them to be ordered by complexity. For each theorem the proof volume, the total amount of semantic information in it, the terms diversity indicator, the logical reasoning number, the information folding coeffi cient and the didactic complexity were determined.


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