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Year 2020, , 41 - 49, 01.04.2020
https://doi.org/10.34248/bsengineering.665648

Abstract

Thanks

Kolay gelsin

References

  • 1. Agresti, A. (1990), Categorical Data Analysis. New York: John Wily and Sons.
  • 2. Beder, J.H., Heim, R.C., 1990. On the use of ridit analysis. Psychometrica, 55, 603-616.
  • 3. Brockett, P.L., 1981. A note on the numerical assignment of scores to ranked categorical data. Journal of Mathematical Sociology, 8, 91-101.
  • 4. Brockett, P.L., Levin, A., 1977. On a characterization of ridits. Annals of Statistics, 5, 1245-1248.
  • 5. Bross, I.D.J., 1958. How to use ridit analysis. Biometrics, 14, 18-38.
  • 6. Bross, I.D.J., 1960. How to cut the highway toll in half in the next ten years. Public Health Rep., 75, 573-581.
  • 7. Davidson, R.C., 1984. Dissatisfaction of women family practice residents. Family Medicine, 16, 10-12.
  • 8. Dennis, T.B., Pore, M.D., Terrell, G.R., 1980. Some properties of the ridit transformation. American Statistical Association, Proceedings of the Statistical Comp. Sec., 303-308.
  • 9. Feld, W. S., 1985. When to intervene: the magic number called ridit, Health Care Strategic Management, Volume 3, 6, pp. 22-24.
  • 10. Fleiss, J.L., 1973. Statistical Methods for rates and proportions. New York: Jon Wiley & Sons.
  • 11. Fleiss, J.L., Chilton, N.W., Wallenstein, S., 1979. Ridit analysis in dental clinical studies. J. Dental Research, 58, 2080-2084.
  • 12. Golden, L.L., Brockett, P.L., 1987. The effect of alternative scoring methods on the analysis of rank order categorical data. J. Mathematical Sociology, 12, 383-414.
  • 13. Jansen, M.E., 1984. Ridit analysis, a review. Statistica Neerlandica, 38(3), 141-158.
  • 14. Kantor, S., Winkelstein, W., İbrahim, M.A., 1968. A note on the interpretation of the ridit as a quantile rank. Amer. J. Epidemiol., 87, 609-615.
  • 15. Likert, R.,1932. A Technique for the Measurement of Attitudes, NY:Archives of Psychology.
  • 16. Levine, A., Roizen, P., Christensen, H., 1972. A mathematical method for analyzing questionnaires. Bulletion of the World Health Organization, 47, 87-97.
  • 17. Lynch, G.W., 1978. A decision theoretic approach to ridits. Commun. Statist. Theor. Methods, A7, 607-614.
  • 18. Selvin, S., 1977. A further note on the interpretation of Ridit Analysis. American J. of Epidemiology, 105:16-20.
  • 19. Siegel, S., Castellan, J., 1988. Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
  • 20. Tunç T, Komitoğlu F., Bekiryazıcı Z., 2014. A Psychometric Scale For Determining University Students Attitudes Towards The Statistics Courses They Take Statistical Attitude Scale SAS. Energy Education Science And Technology Part B: Social And Educational Studies, 6(1), 15-24.
  • 21. Wu Chien-Ho. 2007. On the Application of Grey Relational Analysis and RIDIT Analysis to Likert Scale Surveys, International Mathematical Forum, 2, no.14, 675 – 687.

Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines

Year 2020, , 41 - 49, 01.04.2020
https://doi.org/10.34248/bsengineering.665648

Abstract

In this study, the 17-item Likert-type Statistical Attitude Scale (SAS) was used to measure the attitudes of university students towards statistics courses. This scale was applied to 218 science students, 100 health sciences students and 135 social sciences students in various departments taking a statistics course. By applying ridit analysis to the obtained data, the tendency differences and togetherness of the scale items belonging to the sub-dimensions of the Statistical Attitude Scale were revealed in different disciplines. The ridit values were calculated for the ordinal scale variables in the statistical attitude scale. As a result of these calculations, the classes were compared and the classes in which the students tend according to the items in the scale were determined. Ridit intervals of 8 of the 17 items in the scale were not significant. Therefore, cases are evenly distributed to these 8 items. Five of the other 9 items were found to have ridit intervals less than 0.5 and items concentrated in sub-classes (disagreement) for these five items. The ridit ranges of the remaining 4 items were greater than 0.5 cases showed a tendency for these four items, in the upper classes (agreement).

References

  • 1. Agresti, A. (1990), Categorical Data Analysis. New York: John Wily and Sons.
  • 2. Beder, J.H., Heim, R.C., 1990. On the use of ridit analysis. Psychometrica, 55, 603-616.
  • 3. Brockett, P.L., 1981. A note on the numerical assignment of scores to ranked categorical data. Journal of Mathematical Sociology, 8, 91-101.
  • 4. Brockett, P.L., Levin, A., 1977. On a characterization of ridits. Annals of Statistics, 5, 1245-1248.
  • 5. Bross, I.D.J., 1958. How to use ridit analysis. Biometrics, 14, 18-38.
  • 6. Bross, I.D.J., 1960. How to cut the highway toll in half in the next ten years. Public Health Rep., 75, 573-581.
  • 7. Davidson, R.C., 1984. Dissatisfaction of women family practice residents. Family Medicine, 16, 10-12.
  • 8. Dennis, T.B., Pore, M.D., Terrell, G.R., 1980. Some properties of the ridit transformation. American Statistical Association, Proceedings of the Statistical Comp. Sec., 303-308.
  • 9. Feld, W. S., 1985. When to intervene: the magic number called ridit, Health Care Strategic Management, Volume 3, 6, pp. 22-24.
  • 10. Fleiss, J.L., 1973. Statistical Methods for rates and proportions. New York: Jon Wiley & Sons.
  • 11. Fleiss, J.L., Chilton, N.W., Wallenstein, S., 1979. Ridit analysis in dental clinical studies. J. Dental Research, 58, 2080-2084.
  • 12. Golden, L.L., Brockett, P.L., 1987. The effect of alternative scoring methods on the analysis of rank order categorical data. J. Mathematical Sociology, 12, 383-414.
  • 13. Jansen, M.E., 1984. Ridit analysis, a review. Statistica Neerlandica, 38(3), 141-158.
  • 14. Kantor, S., Winkelstein, W., İbrahim, M.A., 1968. A note on the interpretation of the ridit as a quantile rank. Amer. J. Epidemiol., 87, 609-615.
  • 15. Likert, R.,1932. A Technique for the Measurement of Attitudes, NY:Archives of Psychology.
  • 16. Levine, A., Roizen, P., Christensen, H., 1972. A mathematical method for analyzing questionnaires. Bulletion of the World Health Organization, 47, 87-97.
  • 17. Lynch, G.W., 1978. A decision theoretic approach to ridits. Commun. Statist. Theor. Methods, A7, 607-614.
  • 18. Selvin, S., 1977. A further note on the interpretation of Ridit Analysis. American J. of Epidemiology, 105:16-20.
  • 19. Siegel, S., Castellan, J., 1988. Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
  • 20. Tunç T, Komitoğlu F., Bekiryazıcı Z., 2014. A Psychometric Scale For Determining University Students Attitudes Towards The Statistics Courses They Take Statistical Attitude Scale SAS. Energy Education Science And Technology Part B: Social And Educational Studies, 6(1), 15-24.
  • 21. Wu Chien-Ho. 2007. On the Application of Grey Relational Analysis and RIDIT Analysis to Likert Scale Surveys, International Mathematical Forum, 2, no.14, 675 – 687.
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Taner Tunç 0000-0002-5548-8475

Erdinç Kolay 0000-0001-7436-3152

Publication Date April 1, 2020
Submission Date December 26, 2019
Acceptance Date January 14, 2020
Published in Issue Year 2020

Cite

APA Tunç, T., & Kolay, E. (2020). Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines. Black Sea Journal of Engineering and Science, 3(2), 41-49. https://doi.org/10.34248/bsengineering.665648
AMA Tunç T, Kolay E. Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines. BSJ Eng. Sci. April 2020;3(2):41-49. doi:10.34248/bsengineering.665648
Chicago Tunç, Taner, and Erdinç Kolay. “Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines”. Black Sea Journal of Engineering and Science 3, no. 2 (April 2020): 41-49. https://doi.org/10.34248/bsengineering.665648.
EndNote Tunç T, Kolay E (April 1, 2020) Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines. Black Sea Journal of Engineering and Science 3 2 41–49.
IEEE T. Tunç and E. Kolay, “Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines”, BSJ Eng. Sci., vol. 3, no. 2, pp. 41–49, 2020, doi: 10.34248/bsengineering.665648.
ISNAD Tunç, Taner - Kolay, Erdinç. “Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines”. Black Sea Journal of Engineering and Science 3/2 (April 2020), 41-49. https://doi.org/10.34248/bsengineering.665648.
JAMA Tunç T, Kolay E. Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines. BSJ Eng. Sci. 2020;3:41–49.
MLA Tunç, Taner and Erdinç Kolay. “Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines”. Black Sea Journal of Engineering and Science, vol. 3, no. 2, 2020, pp. 41-49, doi:10.34248/bsengineering.665648.
Vancouver Tunç T, Kolay E. Investigation of Item Trends of Statistical Attitude Scale for Students Studying in Different Disciplines. BSJ Eng. Sci. 2020;3(2):41-9.

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