Alexander, H.W.: The estimation of reliability when several trials are available. Psychometrika 12(2), 79–99 (1947). https://doi.org/10.1007/BF02295990

Article  CAS  PubMed  Google Scholar 

Bartko, J.J.: The intraclass correlation coefficient as a measure of reliability. Psychol. Rep. 19(1), 3–11 (1966). https://doi.org/10.2466/pr0.1966.19.1.3

Article  CAS  PubMed  Google Scholar 

Belur, J., Tompson, L., Thornton, M., Simon, M.: Interrater reliability in systematic review methodology: exploring variation in coder decision-making. Sociol. Method. Res. 50(2), 837–865 (2018). https://doi.org/10.1177/0049124118799372

Article  Google Scholar 

Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327, 307–310 (1986). https://doi.org/10.1016/S0140-6736(86)90837-8

Article  Google Scholar 

Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H.R., Young, S.L.: Best practices for developing and validating scales for health, social, and behavioral research: a primer. Front. Public Health 6, 149 (2018). https://doi.org/10.3389/fpubh.2018.00149

Article  PubMed  PubMed Central  Google Scholar 

Brown, B.W., Jr., Lucero, R.J., Foss, A.B.: A situation where the Pearson correlation coefficient leads to erroneous assessment of reliability. J. Clin. Psychol. 18(1), 95–97 (1962). https://doi.org/10.1002/1097-4679(196201)18:1%3c95::aid-jclp2270180131%3e3.0.co;2-2

Article  PubMed  Google Scholar 

Bruton, A., Conway, J.H., Holgate, S.T.: Reliability: what is it, and how is it measured? Physiotherapy 86, 94–99 (2000). https://doi.org/10.1016/S0031-9406(05)61211-4

Article  Google Scholar 

Dmitrienko, A., Molenberghs, G., Chuang-Stein, C., Offen, W.: Analysis of Clinical Trials Using SAS: A Practical Guide. Cary, NC (2005). https://doi.org/10.1080/10543400500508994

Book  Google Scholar 

Emrich, L.J., Piedmonte, M.R.: A method for generating high-dimensional multivariate binary variables. Am. Stat. 45, 302–304 (1991)

Google Scholar 

Fisher, R.A.: Statistical Methods for Research Workers. Oliver and Boyd, Edinburgh (1954)

Google Scholar 

Fleiss, J.L.: The Design and Analysis of Clinical Experiments. Wiley and Sons, New York (1986)

Google Scholar 

Hallgren, K.A.: Computing inter-rater reliability for observational data: an overview and tutorial. Tutor Quant. Methods Psychol. 8(1), 23–34 (2012). https://doi.org/10.20982/tqmp.08.1.p023

Article  PubMed  PubMed Central  Google Scholar 

Hopkins, W.G.: Measures of reliability in sports medicine and science. Sports Med. 30(1), 1–15 (2000). https://doi.org/10.2165/00007256-200030010-00001

Article  CAS  PubMed  Google Scholar 

Koo, T.K., Li, M.Y.: A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15(2), 155–63 (2016). https://doi.org/10.1016/j.jcm.2016.02.012

Article  PubMed  PubMed Central  Google Scholar 

Li, L., Nawar, S.: Reliability analysis: calculate and compare intra-class correlation coefficients (ICC) in SAS. Northeast SAS Users Group 14, 1–4 (2007)

Google Scholar 

Liljequist, D., Elfving, B., Roaldsen, K.S.: Intraclass correlation–A discussion and demonstration of basic features. PLoSONE 14(7), e0219854 (2019). https://doi.org/10.1371/journal.pone.0219854

Article  CAS  Google Scholar 

McGraw, K.O., Wong, S.P.: Forming inferences about some intraclass correlation coefficients. Psychol. Methods 1(1), 30–46 (1996). https://doi.org/10.1037/1082-989X.1.1.30

Article  Google Scholar 

McGraw, K.O., Wong, S.P.: Forming inferences about some intraclass correlation coefficients: correction. Psychol. Methods 1(4), 390–390 (1996)

Article  Google Scholar 

Nakagawa, S., Schielzeth, H.: Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists. Biol. Rev. 85, 935–956 (2010)

PubMed  Google Scholar 

Nunnally, J.C., Bernstein, I.H.: Psychometric Theory, 3rd edn. McGraw-Hill Series in Psychology, New York (1994)

Google Scholar 

Qin, S., Nelson, L., McLeod, L., Eremenco, S., Coons, S.L.: Assessing test–retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula. Qual. Life Res. 28(4), 1029–1033 (2019). https://doi.org/10.1007/s11136-018-2076-0

Article  PubMed  Google Scholar 

Revicki, D.: Internal consistency reliability. In: Michalos, A.C. (ed.) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht (2014)

Google Scholar 

Richard, N.M.: Interrater reliability with SPSS for windows 5.0. Am.Stat. 47(4), 292–296 (1993). https://doi.org/10.1080/00031305.1993.10476000

Article  Google Scholar 

Rosner, B.: Fundementals of biostatistics, 6th edn. Thomson Brooks/Cole, Duxbury (2006)

Google Scholar 

Shahraz, S., Pham, T.P., Gibson, M., De La Cruz, M., Baara, M., Karnik, S., Dell, C., Pease, S., Nigam, S., Cappelleri, J.C., Lipset, C., Zornow, P., Lee, J., Byrom, B.: Does scrolling affect measurement equivalence of electronic patient-reported outcome measures? Results of a quantitative equivalence study. J. Patient Rep. Outcomes 5, 23 (2021). https://doi.org/10.1186/s41687-021-00296-z

Article  PubMed  PubMed Central  Google Scholar 

Shostak, J.: SAS Programming in the Pharmaceutical Industry. SAS Institute, Cary NC (2005)

Google Scholar 

Shrout, P.E., Fleiss, J.L.: Intraclass correlations: uses in assessing rater reliability. Psychol. Bull. 86(2), 420–428 (1979). https://doi.org/10.1037/0033-2909.86.2.420

Article  CAS  PubMed  Google Scholar 

Stoffel, M.A., Nakagawa, S., Schielzeth, H.: rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models. Method Ecol. Evolut. 8(11), 1639–1644 (2017). https://doi.org/10.1111/2041-210X.12797

Article  Google Scholar 

Weir, J.P.: Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J. Strength Cond. Res. 19(1), 231–240 (2005). https://doi.org/10.1519/15184.1

Article  PubMed  Google Scholar 

Zaki, R., Bulgiba, A., Nordin, N., Ismail, N.A.: A systematic review of statistical methods used to test for reliability of medical instruments measuring continuous variables. Iran J. Basic. Med. Sci 16(6), 803–807 (2013)

PubMed  PubMed Central  Google Scholar 

Portney, L. G., Watkins, M. P.: Foundations of clinical research: applications to practice (Vol. 892). Pearson/Prentice Hall, Upper Saddle River, NJ (2009)

Potashman, M., Ping, M., Tahir, M., Shahraz, S., Dichter, S., Perneczky, R., Nolte, S.: Psychometric Properties of the Alzheimer’s Disease Cooperative Study–Activities of Daily Living for Mild Cognitive Impairment (ADCS-MCI-ADL) scale: a post hoc analysis of the ADCS ADC-008 trial. BMC Geriatrics. Accepted for publication (2023)

SAS/STAT Software, Version 9.4. SAS Institute Inc, Cary, NC USA (2013). https://www.sas.com.

STATA Stata user's guide release 15. (2017) URL https://www.stata.com/manuals15/u.pdf

U.S. Department of health and human services food and drug administration (FDA): guidance for industry patient-reported outcome measures: use in medical product development to support labeling claims. https://www.fda.gov/media/77832/download (2009).

UCLA: Statistical Consulting Group. Introduction to SAS. https://stats.idre.ucla.edu/sas/modules/sas-learning-moduleintroduction-to-the-features-of-sas/ (2021). Accessed 22 August 2021.

Wicklin, R.: Simulating Data with SAS, pp. 154—157. SAS Institute Inc., Cary NC (2013) https://support.sas.com/content/dam/SAS/support/en/books/simulating-data-with-sas/65378_excerpt.pdf