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Snijders Scientific intraclass correlation coefficient icc benchmarks
Intraclass Correlation Coefficient Icc Benchmarks, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: Heated yoga thaws depression: A dose-response analysis from a randomized controlled trial.
Article Snippet: Background: Heated yoga has promise as an adjunctive and standalone treatment for depression, yet the dose–response relationship is not well understood.. This secondary analysis of a randomized controlled trial evaluated the relationship between yoga ‘‘dose’’ and change in depressive symptoms.. Methods: Eighty adults with moderate-to-severe depression (Inventory of Depressive Symptomatology–Clinician Rated [IDS-CR] ≥ 23) were randomized to an 8-week (1) community-based heated yoga intervention (90 min per session, encouraged at least twice weekly) or (2) a waitlist-first control group that subsequently received the same intervention after their waitlist period.

Article Title: The effects of rain and flooding on leptospirosis incidence in sheep and cattle in New Zealand.
Article Snippet: .. For each model, the intra-class correlation coefficient (ICC) was calculated, using the approximated approach proposed by Snijders and Bosker (2012): ICC = var/(var + log(1 + var)) where var is the variance of the random effects. ..

Article Title: The impact of different data handling strategies in exploratory and confirmatory factor analysis of diary measures: an evaluation using simulated and real-world asthma nighttime symptoms diary data.
Article Snippet: .. Secondly, the intraclass correlation coefficient (ICC= σbetweenσbetweenþσwithin: defined as the ratio of between-individual variance to total variance of each item; see Snijders and Bosker 1999)3 is calculated to assess whether multilevel factor analysis is appropriate or not. ..

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Article Title: The Italian version of the 16-item Prodromal Questionnaire (PQ-16) and its psychometric features in help-seeking ultra-high-risk subjects and in the general population.
Article Snippet: Descriptive statistics Multilevel clustering effect Item discriminant power E (%) ˥E (%) ICC MOR z IDA h Item#1 60.8 39.2 0.021 1.362 13.595 0.706 1.657 Item#2 46.0 54.0 0.041 1.544 13.993 0.742 1.671 Item#3 81.1 18.9 0.011 1.246 9.595 0.421 1.223 Item#4 73.3 26.7 0.019 1.345 13.680 0.693 1.781 Item#5 71.6 28.4 0.024 1.395 13.989 0.710 1.868 Item#6 88.7 11.3 0.083 1.888 7.953 0.307 1.037 Item#7 60.5 39.5 0.009 1.226 13.452 0.694 1.673 Item#8 86.2 13.8 0.035 1.497 9.851 0.432 1.296 Item#9 65.8 34.2 0.031 1.454 15.110 0.784 1.992 Item#10 68.1 31.9 0.052 1.637 12.125 0.609 1.474 Item#11 53.7 46.3 0.012 1.265 16.273 0.859 2.119 Item#12 72.8 27.2 0.009 1.219 11.814 0.580 1.477 Item#13 85.0 15.0 0.031 1.458 10.273 0.455 1.480 Item#14 52.0 48.0 0.010 1.230 15.095 0.797 1.869 Item#15 77.9 22.1 0.025 1.405 12.054 0.585 1.604 Item#16 71.1 28.9 0.027 1.421 12.530 0.614 1.663 Note: E = % of item endorsement; ˥E = % of item non-endorsement; ICC = intraclass correlation coefficient based on Snijders and Bosker (1999) formula and binomial distribution; MOR = median odds ratio based on Merlo et al. (2006) formula; IDP = item discriminant power; z = z-statistic; IDA = Ebel's item discriminant ability; h = Ebel's effect size of item discriminant ability.

Article Title: Differences in acute ischaemic stroke in-hospital mortality across referral stroke hospitals in Spain: a retrospective, longitudinal observational study
Article Snippet: : SD (standard deviation); ICC (intra-class correlation coefficient, Snijders and Bosker, 1999); MOR (median odds ratio, Merlo et al, 2006) Page 13 of 37 For peer review only - http://bmjopen.bmj.com/site/about/guidelines.xhtml BMJ Open 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 For peer review only

Article Title: Sexual Scripts and Sexual Consent: Gender Stereotypes, Music-Media Messages, and Sexual Consent Expectancies Among College Men and Women.
Article Snippet: The pervasiveness of sexual assault among college women prompted examination of college students’ sexual-consent expectancies using sexual scripting theory as a framework.. We aimed to understand how personal beliefs, experiences with sexual violence, and dominant cultural gendered sexual scripts in music media inform sexual-consent expectancies among a sample of primarily White heterosexual college students at a northwestern university (n = 364).. Participants viewed music videos with sexual and objectifying content and reported their perceptions of how women were portrayed.

Article Title: Implementation of opportunistic salpingectomy for ovarian cancer prevention: Analyzing clinical practice and key characteristics.
Article Snippet: To assess the variation attributed to clustering, the intraclass correlation coefficient was computed using the method outlined by Snijders and Bosker.30 16000412, 0, D ow nloaded from https://obgyn.onlinelibrary.w iley.com /doi/10.1111/aogs.15128 by Indian Institute O f T echnology B om bay, W iley O nline L ibrary on [07/06/2025].



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Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Journal: iScience

Article Title: A quantitative metabolic signature of host response during SARS-CoV-2 infection and recovery

doi: 10.1016/j.isci.2026.115390

Figure Lengend Snippet: Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Article Snippet: Correlation between Metabo-time and log-transformed CRP values was assessed using Spearman’s rank correlation coefficient.

Techniques:

Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Journal: Scientific Reports

Article Title: Evaluating the growth and water use efficiency of chili pepper ‘Tanjung’, ‘Unpad’, and ‘Osaka’ using SFM1 sap flow in agro-environment

doi: 10.1038/s41598-026-39053-x

Figure Lengend Snippet: Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Article Snippet: Fig. 5 Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Techniques: