PARTIALLY OPTIMAL SCALING OF ITEMS WITH ORDERED CATEGORIES (original) (raw)

Correction information

Date of correction: February 24, 2009 Reason for correction: - Correction: AUTHOR Details: Wrong : SHIZUHIKO NISHISATO1), YUKIO INUKAI1)2)
Right : SHIZUHIKO NISHISATO1), YUKIO INUKAI1)

Date of correction: February 24, 2009 Reason for correction: - Correction: AFFILIATION Details: Wrong :

1. The Ontario Institute for Studies in Education

2. Industrial Products Research Institute

Right :

1. The Ontario Institute for Studies in Education

Date of correction: February 24, 2009 Reason for correction: - Correction: CITATION Details: Wrong : BOCK, R. D. 1956 The selection of judges for preference testing. Psychometrika, 21, 349-366.
BOCK, R. D. 1960 Methods and applications of optimal scaling. The University of North Carolina Psychometric Laboratory Research Memorandum, No. 25.
BRADLEY, R. A., KATTI, S. K., & CooNs, I. J. 1962 Optimal scaling for ordered categories. Psychometrika, 27, 355-374.
EDGERTON, H. A. & KOLBE, L. E. 1936 The method of minimum variation for the combination of criteria. Psychometrika, 1, 183-187.
FISHER, R. A. 1938 Statistical methods for research workers. Edinburgh: Oliver and Boyd.
GUTTMAN, L. 1941 The quantification of a class of attributes: A theory and method of scale construction. In P. Horst, et al., The Prediction of personal adjustment. New York: Social Science Research Council, 319-348.
GUTTMAN, L. 1946 An approach for quantifying paired comparisons and rank order. Ann. Mathermat. Statist., 17, 144-163.
GUTTMAN, L. 1950 The principal components of scale analysis. In S. A. Stouffer, et al.,Measurement and prediction. Princeton: Princeton University Press, 312-361.
HAYASHI, C. 1950 On the quantification of qualitative data from the mathematico-statistical point of view. Ann. Inst. Statistic. Mathemat., Vol. II, No. 1.
HAYASHI, C. 1952 On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematicostatistical point of view. Ann. Inst. Statistic. Mathemat., Vol. III, No. 2.
HORST, P. 1936 Obtaining a composite measure from a number of different measures of the same attribute. Psychometrika, 1, 53-60.
INUKAI, Y. 1972 Optimal versus partially optimal scaling of polychotomous items. University of Toronto Master's Thesis (unpublished).
MOSTELLER, F. 1949 A theory of scalogram analysis, using noncunntlative types of items: A new approach to Thurstone's method of scaling attitude. Harvard University Laboratory of Social Relations, Report . No. 9.
NISHISATO, S., & TORH, Y. 1971 Multiflactor models of optimal scaling. Paper presented at the Psychometric Society Spring Meeting, St. Louis.
RAO, C. R. 1965 Linear statistical inference and its applications. New York: Wiley.
REZA, F. M. 1961 An introduction to information theory. New York: McGraw-Hill.
SHIBA, S. 1965 A method for scoring multicategory items. Jap. psychol. Res., 7, 75-79.
WILKS, S. S. 1938 Weighting systems for linear function of correlated variables when there is no dependent variable. Psychometrika, 3, 23-40.

Right : BOCK, R. D. 1956 The selection of judges for preference testing. Psychometrika, 21, 349-366.
BOCK, R. D. 1960 Methods and applications of optimal scaling. The University of North Carolina Psychometric Laboratory Research Memorandum, No.25.
BRADLEY, R. A., KATTI, S. K., & COONS, I. J. 1962 Optimal scaling for ordered categories. Psychometrika, 27, 355-374.
EDGERTON, H. A. & KOLBE, L. E. 1936 The method of minimum variation for the combination of criteria. Psychometrika, 1, 183-187.
FISHER, R. A. 1938 Statistical methods for research workers. Edinburgh: Oliver and Boyd.
GURRMAN, L. 1941 The quantification of a class of attributes: A theory and method of scale construction. In P. Horst, et al., The Prediction of personal adjustment. New York: Social Science Research Council, 319-348.
GUTTMAN, L. 1946 An approach for quantifying paired comparisons and rank order. Ann. Mathemat. Statist., 17, 144-163.
GUTTMAN, L. 1950 The principal components of scale analysis. In S.A. Stouffer, et al., Measurement and prediction. Princeton: Princeton University Press, 312-361.
HAYASHI, C. 1950 On the quantification of qualitative data from the utathematico-statistical point of view, Ann. Inst. Statistic.11athemat., Vol.Il, No.1.
HAYASHI, C. 1952 On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematicostatistical point of view. Ann. Inst. Statistic. Mathemat., Vol.III, No.2.
HORST, P. 1936 Obtaining a composite measure from a number of different measures of the same attribute. Psvchometrika, 1, 53-60.
MOSTELLER, F. 1949 A theory of scalogram analysis, using noncumulative types of items: A new approach to Thurstone's method of scaling attitude. Harvard University Laboratory of Social Relations, Report No.9.
NUTUSATO, S., & TORTT, Y. 1971 Multifactor models of optimal scaling. Paper presented at the Psychometric Society Spring Meeting, St. Louis.
RAO, C. R. 1965 Linear statistical inference and its applications. New York: Wiley.
REZA, F. M. 1961 An introduction to information theory. New York: McGraw-Hill.
SHIBA, S. 1965 A method for scoring multicategory items. Jap. psychol. Res., 7, 75-79.
WILKS, S. S. 1938 Weighting systems for linear function of correlated variables when there is no dependent variable. Psychometrika, 3, 23-40.

Date of correction: February 24, 2009 Reason for correction: - Correction: PDF FILE Details: -

Date of correction: February 24, 2009 Reason for correction: - Correction: CITATION Details: Wrong : BOCK, R. D. 1956 The selection of judges for preference testing. Psychometrika, 21, 349-366.
BOCK, R. D. 1960 Methods and applications of optimal scaling. The University of North Carolina Psychometric Laboratory Research Memorandum, No.25.
BRADLEY, R. A., KATTI, S. K., & COONS, I. J. 1962 Optimal scaling for ordered categories. Psychometrika, 27, 355-374.
EDGERTON, H. A. & KOLBE, L. E. 1936 The method of minimum variation for the combination of criteria. Psychometrika, 1, 183-187.
FISHER, R. A. 1938 Statistical methods for research workers. Edinburgh: Oliver and Boyd.
GURRMAN, L. 1941 The quantification of a class of attributes: A theory and method of scale construction. In P. Horst, et al., The Prediction of personal adjustment. New York: Social Science Research Council, 319-348.
GUTTMAN, L. 1946 An approach for quantifying paired comparisons and rank order. Ann. Mathemat. Statist., 17, 144-163.
GUTTMAN, L. 1950 The principal components of scale analysis. In S.A. Stouffer, et al., Measurement and prediction. Princeton: Princeton University Press, 312-361.
HAYASHI, C. 1950 On the quantification of qualitative data from the utathematico-statistical point of view, Ann. Inst. Statistic.11athemat., Vol.Il, No.1.
HAYASHI, C. 1952 On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematicostatistical point of view. Ann. Inst. Statistic. Mathemat., Vol.III, No.2.
HORST, P. 1936 Obtaining a composite measure from a number of different measures of the same attribute. Psvchometrika, 1, 53-60.
MOSTELLER, F. 1949 A theory of scalogram analysis, using noncumulative types of items: A new approach to Thurstone's method of scaling attitude. Harvard University Laboratory of Social Relations, Report No.9.
NUTUSATO, S., & TORTT, Y. 1971 Multifactor models of optimal scaling. Paper presented at the Psychometric Society Spring Meeting, St. Louis.
RAO, C. R. 1965 Linear statistical inference and its applications. New York: Wiley.
REZA, F. M. 1961 An introduction to information theory. New York: McGraw-Hill.
SHIBA, S. 1965 A method for scoring multicategory items. Jap. psychol. Res., 7, 75-79.
WILKS, S. S. 1938 Weighting systems for linear function of correlated variables when there is no dependent variable. Psychometrika, 3, 23-40.

Right : BOCK, R. D. 1956 The selection of judges for preference testing. Psychometrika, 21, 349-366.
BOCK, R. D. 1960 Methods and applications of optimal scaling. The University of North Carolina Psychometric Laboratory Research Memorandum, No.25.
BRADLEY, R. A., KATTI, S. K., & COONS, I. J. 1962 Optimal scaling for ordered categories. Psychometrika, 27, 355-374.
EDGERTON, H. A.& KOLBE, L. E. 1936 The method of minimum variation for the combination of criteria. Psychometrika, 1, 183-187.
FISHER, R. A. 1938 Statistical methods for research workers. Edinburgh: Oliver and Boyd.
GUTTMAN, L. 1941 The quantification of a class of attributes: A theory and method of scale construction. In P. Horst, et al., The Prediction of personal adjustment. New York: Social Science Research Council, 319-348.
GUTTMAN, L. 1946 An approach for quantifying paired comparisons and rank order. Ann. Mathemat. Statist., 17, 144-163.
GUTTMAN, L. 1950 The principal components of scale analysis. In S. A. Stouffer, et al., Measurement and prediction. Princeton: Princeton University Press, 312-361.
HAYASHI, C. 1950 On the quantification of qualitative data from the mathematico-statistical point of view, Ann. Inst. Statistic. Mathemat., Vol.II, No.1.
HAYASHI, C. 1952 On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematico-statistical point of view. Ann. Inst. Statistic. Mathemat., Vol.III, No.2.
HORST, P. 1936 Obtaining a composite measure from a number of different measures of the same attribute. Psychometrika, 1, 53-60.
INUKAI, Y. 1972 Optimal versus partially optimal scaling of polychotomous items. University of Toronto Master's Thesis.
MOSTELLER, F. 1949 A theory of scalogram analysis, using noncumulative types of items: A new approach to Thurstone's method of scaling attitude. Harvard University Laboratory of Social Relations, Report No.9.
NISHISATO, S., & TORII, Y. 1971 Multifactor models of optimal scaling. Paper presented at the Psychometric Society Spring Meeting, St. Louis.
RAO, C. R. 1965 Linear statistical inference and its applications. New York: Wiley.
REZA, F. M. 1961 An introduction to information theory. New York: McGraw-Hill.
SHIBA, S. 1965 A method for scoring multicategory items. Jap. psychol. Res., 7, 75-79.
WILKS, S. S. 1938 Weighting systems for linear function of correlated variables when there is no dependent variable. Psychometrika, 3, 23-40.