Agresti, A. Categorical Data Analysis (John Wiley and Sons, Inc., New York, 1990).
Bland, J. M. and Altman, D. Statistical methods for assessing agreement between two meth- ods of clinical measurement, Lancet 8, 307–310, 1986.
Brennan, R. L. and Prediger, D. J. Coefficient kappa: Some uses, misuses and alternatives, Educational and Psychological Measurement 41, 687–699, 1981.
Cicchetti, D. V. and Allison, T. A new procedure for assessing reliability of scoring EEG sleep recordings, American Journal of EEG Technology 11, 101–109, 1971.
Cohen, J. A coefficient of agreement for nominal scales, Educational and Psychological Measurement 20, 37–46, 1960.
Cohen, J. Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit, Psychological Bulletin 70, 213–220, 1968.
Dunn, G. (1989). Design and Analysis of Reliability Studies: The Statistical Evaluation of Measurements Errors(Edward Arnold, London, 1989).
Fay, M. P. Measuring agreement between two statistics with applications to age standard- ization, J. R. Statist. Soc. A 169 (1), 81–96, 2006.
Fleiss, J. L. and Cohen, J. The equivalance of weighted kappa and the intraclass correlation coefficient as measures of reliability, Educational and Psychological Measurement 33, 613– 619, 1973.
G¨ung¨or, K., Erten, H., Akarslan, Z. Z., C¸ elik, I. and Semiz, M. Approximal carious lesion depth assessment with Insight and Ultraspeed films, Operative Dentistry 30 (1), 58–62, 2005.
Janson, H. and Olsson, U. A measure of agreement for interval or nominal multivariate observations by different sets of judges, Educational and Psychological Measurement 64 (1), 62–70, 2004.
Landis, J. R. and Koch G. G. The measurement of observer agreement for categorical data, Biometrics 33, 159–174, 1977.
Lin, L., Hedayat, A. S., Sinha, B. and Yang, M. Statistical methods in assessing agreement: Models, issues, and tools, Journal of the American Statistical Association 97 (457), 257–270, 2002.
Lin, L. I-K. Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence, Statistics in Medicine 19, 255–270, 2000.
Maclura, M. and Willet, W. C. Misinterpretation and misuse of kappa statistics, American Journal of Epidemiology 126, 161–169, 1987.
Perreault, W. D. and Leigh, L. E. Reliability of nominal data based on qualitative judgments, Journal of Marketing Research XXVI, 135–148, 1989.
Sim, J. and Wright, C. C. The Kappa statistics in reliability studies: Use, interpretation, and sample size requirements, Physical Therapy 85 (3), 257–268, 2005.
Schuster, C. A note on the interpretation of weighted kappa and its relations to other rater agreement statistics for metric scales, Educational and Psychological Measurement 64 (2), 243–253, 2004.
Agresti, A. Categorical Data Analysis (John Wiley and Sons, Inc., New York, 1990).
Bland, J. M. and Altman, D. Statistical methods for assessing agreement between two meth- ods of clinical measurement, Lancet 8, 307–310, 1986.
Brennan, R. L. and Prediger, D. J. Coefficient kappa: Some uses, misuses and alternatives, Educational and Psychological Measurement 41, 687–699, 1981.
Cicchetti, D. V. and Allison, T. A new procedure for assessing reliability of scoring EEG sleep recordings, American Journal of EEG Technology 11, 101–109, 1971.
Cohen, J. A coefficient of agreement for nominal scales, Educational and Psychological Measurement 20, 37–46, 1960.
Cohen, J. Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit, Psychological Bulletin 70, 213–220, 1968.
Dunn, G. (1989). Design and Analysis of Reliability Studies: The Statistical Evaluation of Measurements Errors(Edward Arnold, London, 1989).
Fay, M. P. Measuring agreement between two statistics with applications to age standard- ization, J. R. Statist. Soc. A 169 (1), 81–96, 2006.
Fleiss, J. L. and Cohen, J. The equivalance of weighted kappa and the intraclass correlation coefficient as measures of reliability, Educational and Psychological Measurement 33, 613– 619, 1973.
G¨ung¨or, K., Erten, H., Akarslan, Z. Z., C¸ elik, I. and Semiz, M. Approximal carious lesion depth assessment with Insight and Ultraspeed films, Operative Dentistry 30 (1), 58–62, 2005.
Janson, H. and Olsson, U. A measure of agreement for interval or nominal multivariate observations by different sets of judges, Educational and Psychological Measurement 64 (1), 62–70, 2004.
Landis, J. R. and Koch G. G. The measurement of observer agreement for categorical data, Biometrics 33, 159–174, 1977.
Lin, L., Hedayat, A. S., Sinha, B. and Yang, M. Statistical methods in assessing agreement: Models, issues, and tools, Journal of the American Statistical Association 97 (457), 257–270, 2002.
Lin, L. I-K. Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence, Statistics in Medicine 19, 255–270, 2000.
Maclura, M. and Willet, W. C. Misinterpretation and misuse of kappa statistics, American Journal of Epidemiology 126, 161–169, 1987.
Perreault, W. D. and Leigh, L. E. Reliability of nominal data based on qualitative judgments, Journal of Marketing Research XXVI, 135–148, 1989.
Sim, J. and Wright, C. C. The Kappa statistics in reliability studies: Use, interpretation, and sample size requirements, Physical Therapy 85 (3), 257–268, 2005.
Schuster, C. A note on the interpretation of weighted kappa and its relations to other rater agreement statistics for metric scales, Educational and Psychological Measurement 64 (2), 243–253, 2004.
Semiz, M., & Ocak, B. (2010). An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements. Hacettepe Journal of Mathematics and Statistics, 39(1), 97-107. https://izlik.org/JA49WB96GF
AMA
1.Semiz M, Ocak B. An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements. Hacettepe Journal of Mathematics and Statistics. 2010;39(1):97-107. https://izlik.org/JA49WB96GF
Chicago
Semiz, Mustafa, and Bengü Ocak. 2010. “An Alternative Agreement Statistics With Linear Weight Between Ordinal Categorical Measurements”. Hacettepe Journal of Mathematics and Statistics 39 (1): 97-107. https://izlik.org/JA49WB96GF.
EndNote
Semiz M, Ocak B (January 1, 2010) An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements. Hacettepe Journal of Mathematics and Statistics 39 1 97–107.
IEEE
[1]M. Semiz and B. Ocak, “An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements”, Hacettepe Journal of Mathematics and Statistics, vol. 39, no. 1, pp. 97–107, Jan. 2010, [Online]. Available: https://izlik.org/JA49WB96GF
ISNAD
Semiz, Mustafa - Ocak, Bengü. “An Alternative Agreement Statistics With Linear Weight Between Ordinal Categorical Measurements”. Hacettepe Journal of Mathematics and Statistics 39/1 (January 1, 2010): 97-107. https://izlik.org/JA49WB96GF.
JAMA
1.Semiz M, Ocak B. An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements. Hacettepe Journal of Mathematics and Statistics. 2010;39:97–107.
MLA
Semiz, Mustafa, and Bengü Ocak. “An Alternative Agreement Statistics With Linear Weight Between Ordinal Categorical Measurements”. Hacettepe Journal of Mathematics and Statistics, vol. 39, no. 1, Jan. 2010, pp. 97-107, https://izlik.org/JA49WB96GF.
Vancouver
1.Mustafa Semiz, Bengü Ocak. An Alternative Agreement Statistics with Linear Weight between Ordinal Categorical Measurements. Hacettepe Journal of Mathematics and Statistics [Internet]. 2010 Jan. 1;39(1):97-107. Available from: https://izlik.org/JA49WB96GF