The study of interrater agreement and itnerrater reliability attract extensive attention, due to the fact that the judgments from multiple raters are subjective and may vary individually. To evaluate interrater agreement and interrater reliability, five different methods or indices are proposed: percentage of agreement, kappa coefficient, the correlation coefficient, intraclass correlation coefficient (ICC), and generalizability (G) theory. In this study, we introduce and discuss the advantages and disadvantages of these methods to evaluate interrater agreement and reliability. Then we review and explore the rank across these five indices by use of frequency in practice in the past five years. Finally, we illustrate how to use these five methods under different circumstances and provide SPSS and SAS code to analyze interrater agreement and reliability. We apply the methods above to analyze the data from Parent-Child Interaction System of global ratings (PARCHISY), and conclude as follows: (1) ICC is the most often used method to evaluate interrater reliability in recent five years, while generalizability theory is the least often used method. The G coefficients provide similar interrater reliability with weighted kappa and ICC on most items, based on the criteria. (2) When the reliability is high itself, different methods provide consistent indication on interrater reliability based on different criteria. If the reliability is not consistent among different methods, both ICC and G coefficient will provide better interrater reliability based on the criteria, and they also provide consistent results.

abstract: The current study assessed whether the interrater reliability and predictive validity of fidelity ratings differed significantly across the modalities of audio and video recordings. As empirically supported programs are moving to scale, attention to fidelity, the extent to which a program is delivered as intended, is essential because high fidelity is needed for positive program effects. Consequently, an important issue for prevention science is the development of feasible and acceptable methods for assessing fidelity. Currently, fidelity monitoring is rarely practiced, as the typical way of measuring fidelity, which uses video of sessions, is expensive, time-consuming, and intrusive. Audio recording has multiple advantages over video recording: 1) it is less intrusive; 2) equipment is less expensive; 3) recording procedures are simpler; 4) files are smaller so it takes less time to upload data and storage is less expensive; 5) recordings contain less identifying information; and 6) both clients and providers may be more willing to have sensitive interactions recorded with audio only. For these reasons, the use of audio recording may facilitate the monitoring of fidelity and increase the acceptability of both the intervention and implementation models, which may serve to broaden the scope of the families reached and improve the quality of the services provided. The current study compared the reliability and validity of fidelity ratings across audio and video rating modalities using 77 feedback sessions drawn from a larger randomized controlled trial of the Family Check-Up (FCU). Coders rated fidelity and caregiver in-session engagement at the age 2 feedback session. The composite fidelity and caregiver engagement scores were tested using path analysis to examine whether they predicted parenting behavior at age 3. Twenty percent of the sessions were double coded to assess interrater reliability. The interrater reliability and predictive validity of fidelity scores and caregiver engagement did not significantly differ across rating modality. However, caution must be used in interpreting these results because the interrater reliabilities in both conditions were low. Possible explanations for the low reliability, limitations of the current study, and directions for future research are discussed. / Dissertation/Thesis / Doctoral Dissertation Psychology 2019

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The poor reliability of the DSM diagnostic system has been a major issue of concern for many researchers and clinicians. Standardized interview techniques and rating scales have been shown to be effective in increasing interrater reliability in diagnosis and classification. This study hypothesized that the utilization of the Psychological Rating Scale for Diagnostic Classification for assessing the problematic behaviors, symptoms, or other characteristics of an individual would increase interrater reliability, subsequently leading to higher diagnostic agreement between raters and with DSM-III classification. This hypothesis was strongly supported by high overall profile reliability and individual profile reliability. Therefore utilization of this rating scale would enhance the accuracy of diagnosis and add to the educational efforts of technical personnel and those professionals in related disciplines.

Title: Interrater reliability of assessment set of clinical features of patients with multiple sclerosis Objectives: The aim of this thesis is to verify interrater reliability of the assessment set of clinical features of patients with multiple sclerosis which purpose is to evaluate sensitivly and comprehensivly the stage of the patients' clinical condition. Methods: According to the inclusion criteria, the patients with MS were selected by an independent neurologist who determined the EDSS score and duration of the disease. After, patients were evaluated by the assessment set by two independent physiotherapists. The assessment set of clinical features incluedes Low-Contrast Letter Acuity Test which tests contrast vision, Nine Hole Peg Test investiges fine motor skills, Timed 25 - Foot Walk evaluates walking speed over a distance of 7,5 m, Paced Auditory Serial Addition assesses cognitive function, Motricity Index tests muscle strength, Modified Ashworth Scale spasticity, Berg balance Scale equilibrium. Furthemore, the tests for evaluation of righting, equilibrium and protective reactions, the test evaluating knee hyperextension, the examination of dysdiadochokinesia and ataxia. Results: High interrater reliability was confirmed in all tests in the examinig set (ICC: 0,80 - 1), except for MAS...

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage probabilities. From the point view of practice, a conservative approach, if is at least as precise as any existing method, is preferred sinceit gives the correct results with a probability higher than claimed. Under this rationale, we propose the so-called modified likelihood approach in this paper. Simulation study shows that, the proposed method in general has better performance than currently used methods.

This research clarified existing inconsistencies in self-assessment literature, and added to the body of knowledge for rating effectiveness of organizational assessments by defining relationships among rating effectiveness criteria (ratee, rater, rating scale, rating process) and measures (interrater reliability, halo error, leniency and severity, range restriction) based on extensive literature review. A research framework was developed from this review, and was employed in computing rating effectiveness measures at the individual (i.e., examiner or eight rating scale dimensions) and sector (e.g., Private Manufacturing Sector, Private Service Sector, Public Local Sector, Public State & Federal Sector) levels for a State Quality Award (SQA) using data from the 1998 applications. Interrater reliability (measured by intraclass correlations for each rating scale dimension) was low to moderate, and differed by dimension. Halo error (measured by the determinant of the dimension intercorrelation matrices for each examiner) was present for all examiners. Leniency and severity (measured by presence of statistically significant Rater main effect for each dimension) was present for 11 of 32 cases, and differed by dimension. Range restriction (measured by variance analysis for each dimension) was present for 22 of 32 cases, and differed by dimension. A post-hoc principle component analysis indicated poor internal reliability for the rating scale. To improve, the SQA should replace the existing rating scale and provide in-depth training on all elements of the rating process. The importance of the SQA using boxplots, histograms, and rating effectiveness measures to make fully informed decisions was discussed. / Master of Science

Reliability measures have been well studied over many years, beginning with an entire chapter devoted to intraclass correlation in the first edition of Fisher (1925). Such measures have been thoroughly studied for two factor models. This dissertation, motivated by a medical research problem, extends point and confidence interval estimation of both intraclass correlation coefficient and interater reliability coefficient to models containing three crossed random factors -- subjects, raters and occasions. The intraclass correlation coefficient is used when decision is made on an absolute basis with rater's scores, while the interater reliability coefficient is defined for decisions made on a relative basis. The estimation is conducted using both ANOVA and MCMC methods. The results from the two methods are compared. The MCMC method is preferred for analyses of small data sets when ICC values are high. Besides, the bias of estimator of intraclass correlation coefficient in one-way random effects model is evaluated. / Statistics