StaTips Part IV: Selection, interpretation and reporting of the intraclass correlation coefficient

Perinetti, Giuseppe

doi:10.5937/sejodr5-17434

Cited by 99 publications

(103 citation statements)

References 7 publications

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“…Table 4 shows the value ranges used to interpret ICC values [28]. ICC for test-retest reliability and intra-rater reliability was based on 2-way mixed effects, using mean of multiple measurements and absolute agreement, according to advice for choosing ICC in [29][30][31][32]. The intra-rater reliability allowed to assess the agreement between repeated measures obtained by one evaluator that used SANE to test the same group of subjects.…”

Section: Discussionmentioning

confidence: 99%

“…The test-retest reliability allowed to assess the agreement between measures obtained at different times (7-day interval) by one evaluator that use SANE to the same group of subjects. ICC for inter-rater reliability was based on two-way random effects using average measures with absolute agreement, according to advice for choosing ICC in [29,31], so that the systematic errors of both evaluators (Eval 1 and Eval 2) and random residual errors were taken into account. The inter-rater reliability allows to assess the agreement between the measures obtained by Eval 1 and Eval 2 that used SANE to test the same group of subjects.…”

Section: Discussionmentioning

confidence: 99%

“…The inter-rater reliability allows to assess the agreement between the measures obtained by two different evaluators that test the same group of subjects (when giving the same observations to two or more evaluator). Intra-rater reliability allows to assess the agreement between repeated measures obtained by one evaluator that tests a same group of subjects (when giving repeatedly the same observations to one evaluator) [27][28][29][30][31][32]. The training of the evaluator and the standardization of the task influence the inter-rater and intra-rater reliability.…”

Section: Introductionmentioning

confidence: 99%

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Test-Retest, Inter-Rater and Intra-Rater Reliability for Spatiotemporal Gait Parameters Using SANE (an eaSy gAit aNalysis systEm) as Measuring Instrument

Chaparro-Rico

Cafolla

2020

Applied Sciences

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Studies have demonstrated the validity of Kinect-based systems to measure spatiotemporal parameters of gait. However, few studies have addressed test-retest, inter-rater and intra-rater reliability for spatiotemporal gait parameters. This study aims to assess test-retest, inter-rater and intra-rater reliability of SANE (eaSy gAit aNalysis system) as a measuring instrument for spatiotemporal gait parameters. SANE comprises a depth sensor and a software that automatically estimates spatiotemporal gait parameters using distances between ankles without the need to manually indicate where each gait cycle begins and ends. Gait analysis was conducted by 2 evaluators for 12 healthy subjects during 4 sessions. The reliability was evaluated using Intraclass Correlation Coefficients (ICC). In addition, the Standard Error of the Measurement (SEM), and Smallest Detectable Change (SDC) was calculated. SANE showed from an acceptable to an excellent test-retest, inter-rater and intra-rater reliability; test-retest reliability ranged from 0.62 to 0.81, inter-rater reliability ranged from 0.70 to 0.95 and intra-rater ranged from 0.74 to 0.92. The subject behavior had a greater effect on the reliability of SANE than the evaluator performance. The reliability values of SANE were comparable with other similar studies. SANE, as a feasible and markerless system, has large potential for assessing spatiotemporal gait parameters.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Test-Retest, Inter-Rater and Intra-Rater Reliability for Spatiotemporal Gait Parameters Using SANE (an eaSy gAit aNalysis systEm) as Measuring Instrument

Chaparro-Rico

Cafolla

2020

Applied Sciences

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“…One of the major methods in genetics to estimate genetic and environmental influences is the twin method (22-24). As MZ twins possess identical genetic material, differences between them can be attributed to environmental factors (23, 24).…”

Section: Discussionmentioning

confidence: 99%

Heritability of Craniofacial Characteristics in Twins - Cephalometric Study

Tiro¹,

Dzemidzic²,

Salaga-Nefic³

et al. 2019

Med Arch

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Introduction: The growth and development of the craniofacial complex are under the influence of genetic and environmental factors, which determine its morphological and functional characteristics. Twin studies provide significant insight into how many genetic and environmental factors determine dental and craniofacial characteristics. Aim: The aim of the study was to determine the genetic influence on craniofacial complex using a twin study model. Methods: The study sample comprised 52 pairs of twins who were referred to the Orthodontic Department, School of Dental medicine, University of Sarajevo. Informed consent was obtained by the parents of the children included in the study. Twenty pairs of twins were diagnosed as monozygotic while 32 pairs were diagnosed as dizygotic. Zygosity was diagnosed by physical characteristics similarity. Nineteen variables were measured: 10 dental variables, 9 cephalometric. Results: Based on the findings of this study, t-test showed significant genetic effect on the length of cranial base (p = 0.03), corpus of maxilla (p = 0.02) and mandibular length (p = 0.03), and also for B-angle (p = 0.04). Environmental factors are more involved in determining dental traits (e.g., the inclination of the incisors). Conclusion: There is a significant genetic effect on the linear cephalometric variables: the length of the cranial base, maxillary length and mandibular length.

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“…The results showed that there was a high between-raters agreement for Extraversion and Conscientiousness (the intraclass correlation coefficient average measure, ICC average ). The ICC single measure (ICCsingle) reliability coefficient for Extraversion was satisfactory, however, the width of the 95% confidence interval for this value should be considered, which meant that there was a 95% chance that the true ICC value landed on any point between .45 and .95 (Perinetti, 2018). In the case of Conscientiousness, low reliability was obtained for the single rater, again with a wide 95% confidence interval.…”

Section: Self-other Agreement In Judgments Of Extraversion and Conscimentioning

confidence: 99%

Evaluation of the Accuracy of Personality Judgments Based on Written Verbal Production

Tucaković¹,

Bjekić²,

Knežević³

2020

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The process of personality judgment occurs in daily social interactions and represents an attempt to identify characteristics of someone else's personality, in the way to explain past and predict future behaviors. The results of this process have implications on future decisions and actions of people. This research aimed to examine the accuracy of non-expert ratings of Extraversion and Conscientiousness based on short written texts. The sample consisted of 215 participants (Mage = 28.58, SD = 10.30; 80.5% females). The exclusion criterion was that participants were psychologists or psychology students, i.e., individuals familiar with personality research and taxonomies. Participants rated Extraversion and Conscientiousness, based on the texts written by five different individuals. Criteria used to estimate the accuracy of judgments were the agreement between self-report measures on HEXACO PI-R from people who wrote the texts and ratings from participants, as well as the agreement between multiple raters. The results showed that there was a moderate self-other agreement for Extraversion and Conscientiousness. Also, the results showed that there was a high between-raters agreement for Extraversion and Conscientiousness. This study indicates that it is possible to judge one’s personality based on written verbal production, as well that raters tend to form similar impressions about the personality from written texts.

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StaTips Part IV: Selection, interpretation and reporting of the intraclass correlation coefficient

Cited by 99 publications

References 7 publications

Test-Retest, Inter-Rater and Intra-Rater Reliability for Spatiotemporal Gait Parameters Using SANE (an eaSy gAit aNalysis systEm) as Measuring Instrument

Test-Retest, Inter-Rater and Intra-Rater Reliability for Spatiotemporal Gait Parameters Using SANE (an eaSy gAit aNalysis systEm) as Measuring Instrument

Heritability of Craniofacial Characteristics in Twins - Cephalometric Study

Evaluation of the Accuracy of Personality Judgments Based on Written Verbal Production

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