Relevant bibliographies by topics / Intraclass Correlation Coefficients (ICC)

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Academic literature on the topic 'Intraclass Correlation Coefficients (ICC)'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Intraclass Correlation Coefficients (ICC)"

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Putra, Muhammad Dwirifqi Kharisma, Jahja Umar, Bahrul Hayat, and Agung Priyo Utomo. "Pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling: studi dengan simulasi Monte Carlo." Jurnal Penelitian dan Evaluasi Pendidikan 21, no. 1 (2017): 34–50. http://dx.doi.org/10.21831/pep.v21i1.12895.

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Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling. Kondisi simulasi diciptakan dengan beberapa faktor yang ditetapkan yaitu lima kondisi ICC (0.05, 0.10, 0.15, 0.20, 0.25), jumlah kelompok (30, 50, 100 dan 150), jumlah observasi dalam kelompok (10, 20 dan 50) dan diestimasi menggunakan lima metode estimasi: ML, MLF, MLR, WLSMV dan BAYES. Jumlah kondisi keseluruhan sebanyak 300 kondisi dimana tiap kondisi direplikasi sebanyak 1000 kali dan dianalisis menggunakan software Mplus 7.4. Kriteria bias yang masih dapat diterima adalah < 10%. Hasil penelitian ini menunjukkan bahwa bias yang terjadi dipengaruhi oleh ukuran sampel dan ICC, penelitian ini juga menujukkan bahwa metode estimasi WLSMV dan BAYES berfungsi lebih baik pada berbagai kondisi dibandingkan dengan metode estimasi berbasis ML.Kata kunci: multilevel latent variable modeling, intraclass correlation coefficients, Metode Markov Chain Monte Carlo THE IMPACT OF SAMPLE SIZE AND INTRACLASS CORRELATION COEFFICIENTS (ICC) ON THE BIAS OF PARAMETER ESTIMATION IN MULTILEVEL LATENT VARIABLE MODELING: A MONTE CARLO STUDYAbstractA monte carlo study was conducted to investigate the effect of sample size and intraclass correlation coefficients (ICC) on the bias of parameter estimates in multilevel latent variable modeling. The design factors included (ICC: 0.05, 0.10, 0.15, 0.20, 0.25), number of groups in between level model (NG: 30, 50, 100 and 150), cluster size (CS: 10, 20 and 50) to be estimated with five different estimator: ML, MLF, MLR, WLSMV and BAYES. Factors were interegated into 300 conditions (4 NG 3 CS 5 ICC 5 Estimator). For each condition, replications with convergence problems were exclude until at least 1.000 replications were generated and analyzed using Mplus 7.4, we also consider absolute percent bias <10% to represent an acceptable level of bias. We find that the degree of bias depends on sample size and ICC. We also show that WLSMV and BAYES estimator performed better than ML-based estimator across varying sample sizes and ICC’s conditions.Keywords: multilevel latent variable modeling, intraclass correlation coefficients, Markov Chain Monte Carlo method
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Balboa-Castillo, Teresa, Sergio Muñoz, Pamela Serón, Omar Andrade-Mayorga, Pamela Lavados-Romo, and Nicolás Aguilar-Farias. "Validity and reliability of the international physical activity questionnaire short form in Chilean adults." PLOS ONE 18, no. 10 (2023): e0291604. http://dx.doi.org/10.1371/journal.pone.0291604.

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Purpose This study aimed to determine the test-retest reliability and concurrent validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF) in Chilean adults. Methods A cross-sectional validation study was carried out on 161 adults aged between 35 and 65, selected from a population-based study in Temuco, Chile. IPAQ-SF was completed twice, seven days apart, to analyze the test-retest reliability with the intraclass correlation coefficient (ICC). Objective PA was assessed by accelerometry (ActiGraph GT3X+) for seven consecutive days. Intraclass correlation coefficients were used to determine the reliability. Spearman correlation coefficients (rho) and Bland-Altman plots were calculated to assess validity. Results 144 subjects (52.5 ± 8.8 years, 53.9% men) answered the IPAQ-SF on both occasions and had valid accelerometry data. The IPAQ-SF showed moderate reliability for sitting time (ICC = 0.62), while it was poor for walking (ICC = 0.40), moderate PA (ICC = 0.41), vigorous PA (ICC = 0.48), and total PA (ICC = 0.33). There were weak correlations between IPAQ-SF and accelerometry for sedentary behavior (rho = 0.28, p = 0.0005), walking (rho = 0.11, p = 0.17), moderate PA (rho = 0.13, p = 0.128), vigorous PA (rho = 0.18, p = 0.03), and total PA (rho = 0.26, p = 0.002). Conclusions The results suggest that the IPAQ-SF test and retest would provide an acceptable measure of total SB and MVPA, and a weak correlation between IPAQ-SF and accelerometer.
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Schapira, Giuditta, Justin Chang, Yeun Kim, et al. "Intraclass Correlation in Paired Associative Stimulation and Metaplasticity." NeuroSci 3, no. 4 (2022): 589–603. http://dx.doi.org/10.3390/neurosci3040042.

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Paired associative stimulation (PAS) is a widely used noninvasive brain stimulation protocol to assess neural plasticity. Its reproducibility, however, has been rarely tested and with mixed results. With two consecutive studies, we aimed to provide further tests and a more systematic assessment of PAS reproducibility. We measured intraclass correlation coefficients (ICCs)—a widely used tool to assess whether groups of measurements resemble each other—in two PAS studies on healthy volunteers. The first study included five PAS sessions recording 10 MEPS every 10 min for an hour post-PAS. The second study included two PAS sessions recording 50 MEPS at 20 and 50 min post-PAS, based on analyses from the first study. In both studies PAS sessions were spaced one week apart. Within sessions ICC was fair to excellent for both studies, yet between sessions ICC was poor for both studies. We suggest that long term meta-plasticity effects (longer than one week) may interfere with between sessions reproducibility.
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Pleil, Joachim D., and Jon R. Sobus. "Estimating Lifetime Risk from Spot Biomarker Data and Intraclass Correlation Coefficients (ICC)." Journal of Toxicology and Environmental Health, Part A 76, no. 12 (2013): 747–66. http://dx.doi.org/10.1080/15287394.2013.821394.

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Xian, Shilai, and Li Zhang. "Robustness Measurement of Comprehensive Evaluation Model Based on the Intraclass Correlation Coefficient." Mathematics 13, no. 11 (2025): 1748. https://doi.org/10.3390/math13111748.

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This study proposes a standardized robustness measurement framework for comprehensive evaluation models based on the Intraclass Correlation Coefficient (ICC(3,1)), The framework aims to address two key issues: (1) the non-unique evaluation results caused by the abundance of such models, and (2) the lack of standardization and the arbitrariness in existing robustness testing procedures. Theoretical derivation and simulation confirm that ICC(3,1) exhibits a positive correlation with Kendall’s Coefficient of Concordance (Kendall’s W) and a negative correlation with Root Mean Square Error (RMSE) and Normalized Inversion Index (NII), demonstrating superior stability, discrimination, and interpretability. Under increased noise levels, ICC(3,1) maintains a balance between robustness and sensitivity, supporting its application in robustness evaluation and method selection.
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Arum, Annisa Etika, Muhammad Khumaedi, and Endang Susilaningsih. "Pengembangan Instrumen Penilaian Domain Afektif (Sikap) Kepercayaan Diri pada Siswa." Jurnal Basicedu 6, no. 3 (2022): 5467–74. http://dx.doi.org/10.31004/basicedu.v6i3.3203.

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Tujuan penelitian ini adalah untuk menguji validitas isi dan reliabilitas instrumen penilaian sikap kepercayaan diri pada siswa. Metode penelitian dan pengembangan yang digunakan dalam penelitian ini yaitu model pengembangan instrumen nontes yang dikemukakan oleh Mardapi. Partisipan adalah dokumen dan seorang ahli. Pengumpulan data menggunakan angket dengan 10 pernyataan. Instrumen penelitian menggunakan angket dengan skala rating 1 sampai 5. Analisis data menggunakan formula Aiken’s V untuk uji validitas isi dengan bantuan Microsoft Excel dan estimasi reliabilitas menggunakan Intraclass Correlation Coefficients (ICC) untuk uji reliabilitas antar rater dengan bantuan SPSS 25. Data hasil penelitian menunjukkan nilai koefisien Aiken’s V pada setiap item pernyataan ≥ 0,3, maka dapat dikatakan bahwa semua aspek valid. Selain itu, estimasi reliabilitas juga menghasilkan nilai intraclass correlation coefficients (ICC) sebesar 0,705, maka dapat dikatakan bahwa instrumen ini cukup andal. Dengan demikian, dapat disimpulkan bahwa instrumen penilaian sikap kepercayaan diri pada siswa memiliki validitas tinggi dan reliabilitas antar rater cukup kuat
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Maiwald, Christian, Stefan Grau, Inga Krauss, Marlene Mauch, Detlef Axmann, and Thomas Horstmann. "Reproducibility of Plantar Pressure Distribution Data in Barefoot Running." Journal of Applied Biomechanics 24, no. 1 (2008): 14–23. http://dx.doi.org/10.1123/jab.24.1.14.

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The aim of this study was to provide detailed information on rationales, calculations, and results of common methods used to quantify reproducibility in plantar pressure variables. Recreational runners (N = 95) performed multiple barefoot running trials in a laboratory setup, and pressure variables were analyzed in nine distinct subareas of the foot. Reproducibility was assessed by calculating intraclass correlation coefficients (ICC) and the root mean square error (RMSE). Intraclass correlation coefficients ranged from 0.58 to 0.99, depending on the respective variable and type of ICC. Root mean square errors ranged between 2.3 and 3.1% for relative force–time integrals, between 0.07 and 0.23 for maximum force (Fmax), and between 107 and 278 kPa for maximum pressure (Pmax), depending on the subarea of the foot. Force–time integral variables demonstrated the best within-subject reproducibility. Rear-foot data suffered from slightly increased measurement error and reduced reproducibility compared with the forefoot.
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Kelcey, Ben, Zuchao Shen, and Jessaca Spybrook. "Intraclass Correlation Coefficients for Designing Cluster-Randomized Trials in Sub-Saharan Africa Education." Evaluation Review 40, no. 6 (2016): 500–525. http://dx.doi.org/10.1177/0193841x16660246.

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Objective: Over the past two decades, the lack of reliable empirical evidence concerning the effectiveness of educational interventions has motivated a new wave of research in education in sub-Saharan Africa (and across most of the world) that focuses on impact evaluation through rigorous research designs such as experiments. Often these experiments draw on the random assignment of entire clusters, such as schools, to accommodate the multilevel structure of schooling and the theory of action underlying many school-based interventions. Planning effective and efficient school randomized studies, however, requires plausible values of the intraclass correlation coefficient (ICC) and the variance explained by covariates during the design stage. The purpose of this study was to improve the planning of two-level school-randomized studies in sub-Saharan Africa by providing empirical estimates of the ICC and the variance explained by covariates for education outcomes in 15 countries. Method: Our investigation drew on large-scale representative samples of sixth-grade students in 15 countries in sub-Saharan Africa and includes over 60,000 students across 2,500 schools. We examined two core education outcomes: standardized achievement in reading and mathematics. We estimated a series of two-level hierarchical linear models with students nested within schools to inform the design of two-level school-randomized trials. Results: The analyses suggested that outcomes were substantially clustered within schools but that the magnitude of the clustering varied considerably across countries. Similarly, the results indicated that covariance adjustment generally reduced clustering but that the prognostic value of such adjustment varied across countries.
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Saito, Naoki, Kohei Matsumori, Taiki Kazama, Naomi Arakawa, and Shogo Okamoto. "Skin Sensory Assessors Highly Agree on the Appraisal of Skin Smoothness and Elasticity but Fairly on Softness and Moisturization." Cosmetics 9, no. 4 (2022): 86. http://dx.doi.org/10.3390/cosmetics9040086.

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We tested the reliability of sensory evaluations of tactile sensation on bare skin and investigated the reliability among evaluation attributes by trained and untrained assessors. Two trained professional panelists and two untrained researchers evaluated skin in terms of several attributes: smooth–rough, elastic–not elastic, soft–hard (surface), soft–hard (base), moisturized–dry. Twenty-two women aged 25–57 years were evaluated, and the sensory evaluation was repeated twice. Correlation coefficients and intraclass correlation coefficients (ICCs) were used to examine intra- and inter-assessor reliability. The sensory evaluation and physical quantities acquired by commercial and non-commercial instruments were moderately correlated. Smooth–rough and elastic–not elastic showed high or moderate inter-assessor reliabilities with mean correlation coefficients between panelists of 0.81 and 0.58, respectively. Further, the ICC (2,1) values were 0.64 and 0.51, respectively, and the ICC (2,2) values were 0.77 and 0.67, respectively. Conversely, the reliabilities of soft–hard (surface), soft–hard (base), and moisturized–dry were low; the mean correlation coefficients between the panelists were 0.36, 0.23, and 0.22; the ICC (2,1) values were 0.27, 0.23, and 0.17; and the ICC (2,2) values were 0.42, 0.29, and 0.26, respectively. Reliability differed between attributes. We found no meaningful differences between the trained and untrained panelists regarding intra- or inter-assessor reliability.
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Han, Soo-Yeon, Jung-Mo Nam, Sung-Min Myoung, and Ki-Jun Song. "A Comparison of Sample Size Requirements for Intraclass Correlation Coefficient(ICC)." Korean Journal of Applied Statistics 23, no. 3 (2010): 497–510. http://dx.doi.org/10.5351/kjas.2010.23.3.497.

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Dissertations / Theses on the topic "Intraclass Correlation Coefficients (ICC)"

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Yu, Jianhui. "On Intraclass Correlation Coefficients." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/75.

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This paper uses Maximum likelihood estimation method to estimate the common correlation coefficients for multivariate datasets. We discuss a graphical tool, Q-Q plot, to test equality of the common intraclass correlation coefficients. Kolmogorov-Smirnov test and Cramér-von Mises test are used to check if the intraclass correlation coefficients are the same among populations. Bootstrap and empirical likelihood methods are applied to construct the confidence interval of the common intraclass correlation coefficients.
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Smoljanovic, Lada. "The estimation of intraclass correlation coefficients." Thesis, University of Hull, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301491.

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Wu, Baohua. "Data Driven Approaches to Testing Homogeneity of Intraclass Correlation Coefficients." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/92.

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The test of homogeneity for intraclass correlation coefficients has been one of the active topics in statistical research. Several chi-square tests have been proposed to test the homogeneity of intraclass correlations in the past few decades. The big concern for them is that these methods are seriously biased when sample sizes are not large. In this thesis, data driven approaches are proposed to testing the homogeneity of intraclass correlation coefficients of several populations. Through simulation study, data driven methods have been proved to be less biased and accurate than some commonly used chi-square tests.
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Bai, Shasha. "Inference on Intraclass Correlation Coefficients arising in a General Clustered Repeated-Measures Design." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1395614770.

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Lee, Kyung Ah. "Analysis of the Total Food Folate Intake Data from the National Health and Nutrition Exa-amination Survey (Nhanes) Using Generalized Linear Model." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/80.

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The National health and nutrition examination survey (NHANES) is a respected nation-wide program in charge of assessing the health and nutritional status of adults and children in United States. Recent cal research found that folic acid play an important role in preventing baby birth defects. In this paper, we use the generalized estimating equation (GEE) method to study the generalized linear model (GLM) with compound symmetric correlation matrix for the NHANES data and investigate significant factors to ence the intake of food folic acid.
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Hsieh, Ming-Yu, and 謝茗伃. "Point Estimation analysis for Intraclass Correlation Coefficients." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/37854929522545263793.

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碩士<br>國立交通大學<br>管理科學系所<br>104<br>Intraclass correlation coefficients are used extensively to measure the reliability or degree of resemblance among group members in multilevel research. The study compares the behavior of several intraclass correlation estimators in terms of bias, bias ratio, and mean square error. Monte Carlo simulation results revealed that the mutual dominance relationship among the indices. The numerical investigations provide guidelines to help researchers choose between the competing measures.
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Yang, Nai-Chen, and 楊乃蓁. "Sample size Calculation for Hypothesis Testing of Intraclass Correlation Coefficients (2)." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/59526552985122107636.

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碩士<br>國立交通大學<br>管理科學系所<br>104<br>In the practical applications, Intraclass correlation coefficients is the model in random effects model. The main contribution in this research is how to determine the optimum number of samples based on ICC(2). For the begging we learn to use the tools of measurement is the Pearson correlation coefficient. Although, we can know the correlation between variables, but satisfy the assumption is difficult in the reality. The reason is that the two variables of Pearson correlation coefficient t must be assumed independent. Therefore, in practical application is not easy. Most of the research data have similarities and dependent. Due to the reason above, Using the correlation coefficient ICC(2) to measure the relationship between variables is more appropriate. This article will focus on research on One-way random effects model, using statistical software SAS / IML program do the simulation. Through the hypothesis testing method to set the power, and employ the F ratio to look for the optimistic sample size.
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Tsai, Hsin-Ni, and 蔡忻妮. "Approximate Bayesian approaches for assessing intraclass correlation coefficients in dependent binary data." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/07158093177833882557.

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碩士<br>國立彰化師範大學<br>統計資訊研究所<br>99<br>Medical data in clinical studies are commonly carried out in clustered settings, where the subjects are correlated within clusters. When observations approximately follow a normal distribution, the intraclass correlation coefficient (ICC) is frequently used to assess the similarity within clusters with respect to the particular biological or environmental characteristics. However, for correlated binary data, it is difficult to obtain directly the ICCs by the definition of the proportion of the total variation explained by variation between clusters. In this article, we propose two approximate Bayesian statistical approaches, approximate Taylor Bayesian and empirical Bayesian approaches, to estimate ICCs in multilevel logit models for dependent binary data. To compare with a frequentist approach, we make a comparison between the approximate Taylor Bayesian, the empirical Bayesian, and the ANOVA approaches in simulation studies. The results of comparison studies reveal that the proposed approximate Bayesian approaches provide reliable and stable approaches in estimating ICCs, and parameters of fixed effects and variance components simultaneously. Furthermore, the results indicate that the approximate Bayesian approaches are robust in model misspecification.
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Yu, Chia-Chun, and 余嘉淳. "The effects of intraclass correlation coefficients on regression analyses with clustered binary data." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/99909520707197232422.

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碩士<br>國立陽明大學<br>公共衛生研究所<br>102<br>Binary clustered data are often encountered in public health and clinical research. Difference analyses methods can obtain different results of parameter estimates. Intraclass correlation coefficient (ICC) usually is used to quantify the degree of relation in outcomes within cluster. The ICCs are not necessarily substantial in longitudinal or clustered data after adjusting for related variables. The effects of ICC, prevalence of outcome variable, number of clusters and cluster size on parameter estimates remain to be explored. The present study carried out a simulation study with different scenarios with different ICC, prevalences of outcome, numbers of clusters and clusters size for both binary and continuous predictors . The simulations considered four values of ICC: 0, 0.1, 0.3, 0.5, four prevalence of outcome: 0.3, 0.1, 0.05, 0.01, conditional on the total number of observations 1000 with five combinations of the number of clusters (m) and cluster size (n): (m,n)=(500,2), (200,5), (100,10), (10,100), (5,200), independent variables for continue and dichotomy with multicollinearity or not. Based on the context of logistic regression models, the methods of parameter estimation included standard method of maximum-likelihood which assume data were independent, generalized estimating equation (GEE) that using exchangeable correlation coefficient and odds ratio (alternate logistic regression), and generalized mixed linear models (GLMMs) using adaptive guass-hermite quadrature (GLMM_FL) and pseudo-likelihood approximation (GLMM_PL). The results of simulation showed that the prevalence of outcome did not have substantial effect on parameter estimates, on the other hand, the estimates were different with different ICC. When the ICC was close to zero(ICC=0), the performance of standard logistic regression is the best, GEE was second best when m>n and GLMMs in general obtain invalid estimates of parameter. When ICC was low (ICC=0.1) and the number of clusters was bigger than cluster size (m>n), the estimates by standard logistic regression, GEE and GLMMs_FL were valid. When ICC is low (ICC=0.1) and the number of clusters was smaller than cluster size (m<n), the performance of standard logistic regression was the best. When ICC is medium to high (ICC≧0.3), the parameter estimates of standard logistic regression and GEE were not valid. The performance of GLMMs_FL was on the best in this situation. The GLMMs_FL usually obtained more conservative estimates (wider confidence intervals) when m < n. In general, the GLMMs_PL had a worse performance than other methods.
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Books on the topic "Intraclass Correlation Coefficients (ICC)"

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Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.
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Book chapters on the topic "Intraclass Correlation Coefficients (ICC)"

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Leyland, Alastair H., and Peter P. Groenewegen. "Intraclass Correlation Coefficient (ICC)." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1528.

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Leyland, Alastair H., and Peter P. Groenewegen. "Intraclass Correlation Coefficient (ICC)." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_1528.

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Leyland, Alastair H., and Peter P. Groenewegen. "Intraclass Correlation Coefficient (ICC)." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69909-7_1528-2.

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Ahmed, S. E., and S. M. Khan. "Using Several Data to Structure Efficient Estimation of Intraclass Correlation Coefficients." In Measurement and Multivariate Analysis. Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-65955-6_21.

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Bliese, Paul D., Eliza W. Wicher, and Dhuha Abdulsalam. "Optimizing Differences Between Groups Is Important." In Employee Surveys and Sensing. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190939717.003.0018.

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Firms rely on aggregate responses from engagement survey data in order to differentiate between teams of direct reports under specific managers, divisions, business units, etc. In this chapter, the authors show that items vary with respect to being able to differentiate groups and provide concrete and practical information relevant to selecting items used in engagement surveys. Specifically, the authors show how item-level intraclass correlation coefficient type 1 (ICC[1]) values can provide useful information to optimize group differentiation beyond traditional psychometrics. Using multiple examples from applied settings, they provide insights regarding interpreting ICC(1) values, wording of survey items, stability of ICC(1) values, and the difference between ICC(1) values and traditional psychometric values.
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Streiner, David L., Geoffrey R. Norman, and John Cairney. "Reliability." In Health Measurement Scales, 6th ed. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/med/9780192869487.003.0008.

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Abstract This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.
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Danial-Saad Alexandra, Kuflik Tsvi, Weiss Patrice L. (Tamar), and Schreuer Naomi. "Building an effective ontology for assistive technology." In Studies in Health Technology and Informatics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-566-1-749.

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The aim of this paper was to develop and validate an ontology for one class of assistive technology (AT), namely physically controllable pointing devices, using the Delphi method. Six occupational therapists with AT expertise identified important items and categories to the pointing device prescription through a three-round, structured process consisting of responses to a series of questionnaires. The intraclass correlation coefficient (ICC) was used to assess the interrater reliability of items included in categories related to the pointing devices and to the user profile. During the first round, the ICC ranged from 0.19 to 0.97; this improved to ICCs ranging from 0.72 to 1.0 during the second round. A full consensus was reached by the experts during the final round which included 218 items, divided into five categories, for the pointing device list, and 168 items, divided into six categories, for the user profile list. This ontology is expected to help achieve a more systematic regulation of the AT field, leading to greater standardization and increased knowledge sharing.
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Zhang J., Lou E., Le L.H., Hill D., Raso J., and Wang Y. "Computer-Assisted Cobb Angle Measurement on Posteroanterior Radiographs." In Studies in Health Technology and Informatics. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-888-5-151.

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The Cobb angle method is the gold standard to assess severity of scoliosis. A computer-aided method was developed to provide a semi-automatic Cobb angle measurement during a scoliosis clinic. This study was to evaluate the reliability and accuracy of the developed method. Curve types were also tested. The computer method required enhancement of the contrast, normalization of the image size, and selection of the end-vertebrae on the radiographs before the automatic measurement started. The computer-aided process automatically identified the line segments that fitted to the endplates of the end-vertebrae. The Cobb angle was then calculated from the slopes of these lines. Seventy-six radiographs were randomly selected and categorized with Lenke's classification. Among them, 75 cases were used and categorized into 4 types: 1, 3, 5 and 6. One type 2 case was excluded. An orthopedic spine surgeon measured the radiographs manually, serving as the reference standard. Two observers used the developed method and measured twice. For each curve type, the inter-method, inter-observer, and intra-observer variability were analyzed by Intraclass correlation coefficients &amp;lpar;ICC[2,1]&amp;rpar;. The ICC values were higher than 0.90 in all these types. The developed method was reliable to measure the Cobb angle and was not dependent on the curve type.
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Singer K. P., Goh S., Leedman P., and Price R. I. "Reliability of Rasterstereography of Thoracic Kyphosis." In Studies in Health Technology and Informatics. IOS Press, 1999. https://doi.org/10.3233/978-1-60750-903-5-29.

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The reliability of repeated measurements of thoracic kyphosis from rasterstereographic back shape imaging was examined in 10 volunteers across different age cohorts and in a static back phantom. Coefficients of variation (CV) for five repeated measurements of the 10 subjects ranged from 2.4% to 3.0% for the kyphosis parameters &amp;lsquo;Maximum&amp;rsquo;, &amp;lsquo;Vertebra prominens to thoracolumbar inflexion point&amp;rsquo;, and &amp;lsquo;Vertebra prominens to T12&amp;rsquo;. Mean standard error of measurement values (SEM) as a percentage of mean kyphotic angles were 5.3%, 4.4% and 4.8% for the same three kyphosis parameters, &amp;lsquo;Maximum&amp;rsquo;, &amp;lsquo;Vertebra prominens to thoracolumbar inflexion point&amp;rsquo;, and &amp;lsquo;Vertebra prominens to T12&amp;rsquo; respectively. The inter-trial CV for repeated imaging of the back phantom ranged from 0.4% to 1.3%. Intraclass correlation coefficients (ICC) ranged from 0.98 to 0.99 for all measurements. Consistent results were demonstrated across the varying age cohorts. The reliability of rasterstereographic evaluation of thoracic kyphosis is largely influenced by postural variations, while minimal errors are attributed to internal system inaccuracies. These results suggest the clinical utility of rasterstereographic imaging in the detection of relatively small curve changes and hence in monitoring of kyphosis progression.
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Simmelink E.K., Wempe J.B., Geertzen J.H.B., and Dekker R. "Repeatability and validity of the combined arm-leg (Cruiser) ergometer." In Assistive Technology Research Series. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-080-3-216.

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The measurement of physical fitness of lower limb amputees is difficult as the commonly used ergometer tests have limitations. A combined arm-leg (Cruiser) ergometer might be valuable. The aim of this study was to establish the repeatability and validity of the combined arm-leg (Cruiser) ergometer. Thirty healthy volunteers performed three incremental exercise tests, once on the bicycle ergometer and twice on the Cruiser ergometer. The repeatability of the Cruiser ergometer was assessed by studying the means of the test-retest and the validity by studying the means of the bicycle and the two Cruiser ergometer tests. Intraclass Correlation Coefficient (ICC) for repeated measurements on the Cruiser ergometer was 0.84 for the maximal oxygen consumption (VO2max) and 0.71 for the maximal heart rate (HR max). ICC for the measurements on the bicycle ergometer and the Cruiser ergometer was 0.86 for the VO2max and 0.73 for HR max. Bland and Altman plots for VO2max and HR max showed a bias close to zero and a great accuracy. The conclusion of this study is that the Cruiser ergometer provides a repeatable and valid measurement of the physical fitness in healthy volunteers. Its value in clinical practice for lower limb amputees needs further to be established.
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Conference papers on the topic "Intraclass Correlation Coefficients (ICC)"

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Emeruwa, I. O., M. Pan, N. Jackson, R. Buhr, and M. Inkelas. "Understanding Reliability of a Scarce Resource Allocation Policy: Assessing Agreement of Intensive Care Unit (ICU) Bed Allocation Priority Using Intraclass Correlation Coefficients (ICC)." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a6325.

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Abeysinghe, Nilanga, Brandon Kohrt, and Ananda Galappatti. "The Evaluation of ENhancing Assessment of Common Therapeutic factors – Sri Lanka (ENACT-SL) to Assess Common Factors in Counselling in Determining Therapist Competence in Sri Lanka." In SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES [SICASH]. Faculty of Humanities and Sciences, SLIIT, 2022. http://dx.doi.org/10.54389/cwrv8325.

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Counselling and psychotherapy play an essential part in mental health care. The modern field of mental health care includes many counselling modalities. Each modality consists of specific knowledge and skills. This diversity makes objective evaluation of a therapist's competence across counselling modalities challenging. The "common factors" theory claims that along with each modality's specific strengths and techniques, common factors in counselling are essential for successful counsellor–client relationships. In high-income countries, the mental health care field has developed many tools to evaluate counselling skills based on the common factors relevant to specific socio-cultural settings. Hence, the usefulness of these tools is limited to the socio-cultural backgrounds where the tools were developed. The current study evaluated the ENhancing Assessment of Common Therapeutic factors – Sri Lanka (ENACT-SL) rating scale with the participation of 68 novice and experienced counsellors who used two versions of the scale to evaluate 10- minute pre-recorded counselling sessions. The scale's reliability was assessed using Intraclass Correlation Coefficients (ICC). The ICC for interrater reliability was above 0.75, denoting ‘good’ inter-rater reliability, while the ICC for intrarater repeatability was poor for both groups. The research findings contributed in developing a new version of ENACT-SL based on 'five domains' of counselling skills to be used in counsellor training and assessment in Sri Lanka. Keywords: Counselling; common factors; ENACT-SL; therapist-assessment; therapist competence
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Oku, Kyosuke, Noriyuki Kida, Yoshihiro Kai, et al. "A method to measure direction change ability at irregular times in juniors." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006478.

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The ability to change direction is important in everyday life for avoiding walking and sports. In actual sporting situations, the ability to change directions at irregular times is required. Previous studies have investigated this using analyses in three-dimensional space and force plate data, but it is preferable to measure it more easily. Furthermore, there is limited understanding of the ability to change direction at irregular times in the junior period. Therefore, the aim of this study was to develop a simple method of measuring the ability to change direction at irregular times in the junior period. The subjects were 44 junior high school students (11.43 ± 1.57 years old, 24 males and 20 females) who were asked to chase a target moving sideways along a 4 m straight line for 6 seconds without being caught. The target was played by two adult males, and the target characteristics were evaluated using approximate entropy (ApEn) to assess the number of turns, maximum speed, and unpredictability. Participants' pursuit accuracy was assessed using the mean and maximum differences, and response latency was assessed using the tau value at which the correlation coefficient was greatest in the cross-correlation analysis. First, to examine the reliability of the measurement method, the intraclass correlation coefficients (ICC1 and ICC1k) were calculated for the characteristics of the experimenter's movements, and significant reliability was confirmed for each variable. When the degree of pursuit was compared between the experimenters, no significant differences were found in the mean difference, maximum difference, or response delay for each variable. These results confirmed that the measurement method developed in this study was reliable, and that there was no effect due to difference between the experimenters. The simple method developed in this study for measuring the ability to change direction at irregular times is expected to be useful in sports and education.
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Petrová, Nikola, Leonie Chapel, Luuk G. A. Buunk, and Rianne Kaptijn. "Assessment of competency development in a challenge-based learning course: can coaches be objective assessors?" In SEFI 50th Annual conference of The European Society for Engineering Education. Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788412322262.1290.

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Higher education institutions aim to incorporate competency development into their engineering curricula, which can help engineering students become independent critical thinkers with entrepreneurial mindsets. However, no solid methods exist to evaluate the acquisition of these competencies. Such assessments’ objectivities are often ensured by distinguishing between who supervises a student group and who grades its project. The assessor’s active involvement in the learning process is essential for assessing competency development during the learning process, but such involvement may lead to assessor bias. This study aims to investigate whether and under what conditions coaches can be objective assessors. An intraclass correlation coefficient (ICC) was used to measure the level of agreement between assessors and coaches when using the same rubric to assess students’ deliverables. Four assessors and seven coaches from the University of Twente assessed 24 students’ individual learning processes based on individual reflection deliverables. The coaches assessed the students they supervised during a challenge-based learning (CBL) course, while the assessors were without participating in the learning process assigned randomly to students. The means were compared using SPSS, which indicated, among other things, that coaches generally awarded higher scores than assessors. This may indicate that coaches are biased because of their involvement in the learning process. Despite this, the results also indicate that coach assessment was in line with assessors when the coach was an appointed and experienced examiner.
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Andrade, Vinícius C., Richard D. Ribeiro, Rafael dos P. Canteri, Sheila Reinehr, Cinthia O. de A. Freitas, and Andreia Malucelli. "Privacy in Practice: Exploring Concrete Relationships Between Privacy Patterns and Privacy by Design Principles in Software Engineering." In Congresso Ibero-Americano em Engenharia de Software. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/cibse.2024.28453.

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Ensuring the fulfillment of customer preferences and requirements and adherence to legal compliance have emerged as critical considerations for software development organizations. Legislation such as the Brazillian LGPD and the European Union's GDPR highlight the importance of integrating personal data privacy rights from the beginning of system development and throughout the data lifecycle, as mentioned in the fundamental principles of Privacy by Design. However, recent studies still emphasize the need for processes, methods, guides, and tools that help translate Privacy by Design principles into practical software engineering activities. In this context, this article aims to explore the integration of abstract Privacy by Design principles into tangible Software Engineering practices. To this end, a mapping was carried out between Privacy Patterns and the principles of Privacy by Design. This process translated abstract concepts into practical activities. The reliability of the mapping process among the researchers was assessed by calculating the Intraclass Correction Coefficient (ICC). The findings underscore that when software engineers apply one or more Privacy Patterns to address personal data privacy requirements, as revealed through the correlations conducted in this study, they also tend to adhere to one or more Privacy by Design principles.
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6

Silva, Fabiola Cristina Brandini, Almir José Sarri, Jonathas José Silva, Idam Oliveira-Junior, and René Aloisio Costa Vieira. "VOLUMETRIC EVALUATION OF UPPER LIMB FOR THE BREAST CANCER ASSOCIATED LYMPHEDEMA." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1027.

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Introduction: Lymphedema is one of the main complications associated with the treatment of breast cancer. Multiple methodologies can be used in the diagnosis of lymphedema. A simple and clean, easy methodology is lacking, aiming to correlate with the findings of volumetry. Objectives: To evaluate different methodologies for the evaluation of indirect volumetry, by calculating the Frustrum and potential cutoff points related to direct volumetry. Methods: Study approved by the Ethics Committee under number 782/2014. A cross-sectional study with prospective collection, diagnostic evaluation, performed in patients with breast cancer undergoing surgical treatment of the breast. The participants were subjected to evaluations of the upper limbs using volumetry (total limb and hand), cylindrical and radial perimetry for diagnosis of lymphedema at equidistant points every 5 cm (V10) and 10 cm (V6). One software was created based on the cylindrical and diametrical measurements of the upper limbs. Concomitant upper limb and hand volumetry was performed, with a difference of 200 mL in volume being considered a lymphedema. The formula VFC=h(C12+C1C2 + C22)/12π was used for the cylindrical Frustrum (VFC), and for the elliptical Frustrum (VFE) the formula VFE= (Lπ/3)A2B-a2b)/(A-a) was used. To compare the agreement of the volumes, the Interclass Correlation Index was used. In order to equalize values associated with volumetry, the ROC curve was used. Grant from FAPESP project no. 2014 08197-0 and Institutional IEP/HCB no 5/2017. Results: 300 patients were evaluated. With regard to VFE, the result was not adequate in 25.5% in the V10 assessment and in 8.9% in the V6. The correlation between the difference in volume in total volume and the difference in volume without hands was excellent (ICC = 0.993). The difference of the risk member was compared with the contralateral of the VC10 and VC6 volumes with hand and VC10 and VC6 without the hand, the intra-class correlation coefficients were 0.840, 0.878, 0.835, 0.878, respectively. The presence or absence of the hand did not change the correlation, given the difference in volume (dV). Considering the difference in volume of the limbs of 200 mL, in the VFC formula dVC6 this value corresponded to 108.79 mL, with a sensitivity of 88.9, specificity of 87.3 and accuracy of 87.7; and in the VFC dVC10 formula this value was 96.9 mL, with a sensitivity of 92.1, specificity of 85.7 and accuracy of 87. Conclusions: The use of cylindrical Frustrum proved to be satisfactory, and different cutoff points should be used in clinical practice. The creation of the software facilitates the evaluation because it is a clean and reproducible methodology.
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Reports on the topic "Intraclass Correlation Coefficients (ICC)"

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DeJonckere, P. H., B. Millet, R. Van Gool, et al. Reliability of Electro-physiologically Evoked Auditory Steady State Responses. Progress in Neurobiology, 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.03.

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The electrophysiological technique of auditory steady state responses (ASSR) makes possible objective hearing threshold definition, with frequency specificity. A high level of reliability is a basic requirement for applying this technique in a medicolegal context. 35 subjects affected by significant occupational noise induced hearing loss and claiming compensation underwent a thorough medical and audiological examination, including an analysis of the auditory steady state responses (ASSR) in order to objectively define hearing thresholds with frequency specificity, and ear-by-ear. In order to investigate the reproducibility of the thresholds obtained by this technique, the electrophysiological exploration was repeated immediately after the first test. An exhaustive statistical comparison of the results rejects the hypothesis of any significant difference between the results of both exams, whatever severity of hearing loss and frequency. All correlation coefficients (R and ICC) and Cronbach’s α values reach or exceed 0.9. Bland-Altman plots rule out systematic shifts, as well as proportional errors, or variations that depends on the magnitude of the measurements.
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