Variance In Ratings Research Articles

Physiotherapy in the digital age: A narrative review of the paradigm shift driven by the integration of artificial intelligence and machine learning

Abstract: A variety of physical impairments and functional restrictions are assessed and treated in the practice of physiotherapy. Subjective measures, rater variability, and restricted access to high-quality care are some of the unavoidable problems that contemporary physical therapy practice approaches must overcome. In light of these challenges, cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML) are demonstrating remarkable efficacy in tackling these issues head-on. The focus of this review is to explore how the integration of AI and ML might change physical therapy practice and education in the age of digital communication. It delves into the challenges accompanying this integration and considers future prospects in this domain. A literature search was conducted using data base PubMed, Google Scholar, Web of Science, and Scopus with keywords such as ‘physiotherapy’, ‘artificial intelligence’, and ‘machine learning’, limited to English articles from 2014 to 2024. Results were imported into reference management software, duplicates removed, and relevant articles were screened and assessed for inclusion, with reasons for exclusion documented. Emerging technologies like AI and ML use algorithms to examine patient data and make automatic decisions, enhancing areas such as virtual reality therapy (VR), tele-rehabilitation, clinical decision support, individualized rehabilitation and physical function evaluation. These advance technologies optimize physical therapy and improve outcomes, but further research is needed to address obstacles like bias and data privacy to ensure responsible implementation. AI and ML can revolutionize physical therapy by improving therapy precision, patient monitoring, optimization and individualized therapy plan. However, it’s crucial for physiotherapists to balance technological advancements with compassionate, patient-centred approach.

Evaluating the Quality of Training Programs for Pre-Service Music Teachers in Chinese Higher Education Institutions

This research utilized an explanatory sequential design within a mixed-methods framework to assess the effectiveness of three pre-service music teacher programs aimed at Grades 1-12 in China. First, a group of four evaluators was asked to holistically assess the overall quality of these programs on a scale ranging from 1 to 10. Second, the evaluators were invited answer four open-ended questions about the areas for improvement in terms of program goals and objectives, program curricula, instructional methods, and learning assessments, respectively. The generalizability (G-) theory framework was employed to analyze the quantitative data, particularly to examine the variability in ratings and the reliability of the program evaluations. The qualitative data underwent coding, categorization, and organization according to recurring themes. The results indicated that the rating of the quality of these programs by the four program evaluators was extremely consistent and unbelievably reliable. Furthermore, major areas for improvement are identified in program objectives and curricula as well as instructional methods and learning assessments. Implications for pre-service music teacher training program developers in Chinese colleges and universities are discussed.

Diverse Face Images (DFI): Validated for racial representation and eye gaze.

Face processing is a central component of human communication and social engagement. The present investigation introduces a set of racially and ethnically inclusive faces created for researchers interested in perceptual and socio-cognitive processes linked to human faces. The Diverse Face Images (DFI) stimulus set includes high-quality still images of female faces that are racially and ethnically representative, include multiple images of direct and indirect gaze for each model and control for low-level perceptual variance between images. The DFI stimuli will support researchers interested in studying face processing throughout the lifespan as well as other questions that require a diversity of faces or gazes. This report includes a detailed description of stimuli development and norming data for each model. Adults completed a questionnaire rating each image in the DFI stimuli set on three major qualities relevant to face processing: (1) strength of race/ethnicity group associations, (2) strength of eye gaze orientation, and (3) strength of emotion expression. These validation data highlight the presence of rater variability within and between individual model images as well as within and between race and ethnicity groups.

Study of Patients’ Satisfaction with different types of Telemedicine Services provided by the Ministry of Health in Saudi Arabia

One way to gauge the quality of healthcare is to look at how satisfied patients are with the system overall. Finding out how happy patients are with various telemedicine services offered by Saudi Arabia's Ministry of Health is the main goal of this research. The satisfaction of Saudi Arabian customers using telemedicine services was assessed in a cross-sectional survey. Customers of the 940 medical contact centre and the Sehha app, two telemedicine services, were surveyed using a rigorous random selection technique. Two hundred and fifty users of the 940 medical contact centre and the Sehha app were selected at random to fill out a pre-designed survey about their level of satisfaction with various aspects of the two health services. Out of 250 people who used telemedicine services, 83.14 percent were happy with the care they received overall, while 8.03 percent were unhappy. These days, telemedicine apps are employed by a lot of wealthy nations and even some underdeveloped ones to help provide healthcare to people faster for all sorts of medical issues. In Saudi Arabia, telemedicine services generally had good satisfaction ratings, with no discernible variation in ratings between the 940 medical contact centre and the Sehha app. Customers who used telemedicine services were generally pleased and were even willing to recommend them to others.

Judging emotion in natural images of crowds.

It has been suggested that humans use summary statistics such as the average of the emotion of individual faces when they rapidly judge group emotion. Previous studies have mainly used faces of actors posing basic emotions, and morphed versions of these faces, against a plain background. In the present study, photographs taken in real-world settings were used to investigate the influence of mean facial emotion, maximal facial emotion, and background context on judgments of group emotion, assessed using dimensional ratings of valence, arousal, and dominance. Background context explained a significant amount of unique variance in group ratings for each dimension. Mean emotion explained additional unique variance for valence ratings, whereas maximal emotion explained additional unique variance for arousal, with dominance showing more mixed results. Removing background context and disrupting the contextual and spatial relationship between faces by randomly replacing faces with ones from other images within the stimulus set increased reliance on mean emotion. However, under all conditions, the maximally arousing face continued to exert an influence on ratings of group arousal, in line with theoretical accounts arguing for a unique bottom-up effect of emotional arousal on attentional competition and postattentive perceptual processing. Together these findings suggest that individuals' reliance on average emotion when judging crowd scenes differs as a function of the dimension of affect. In addition, the presence of background context both directly impacts judgments of crowd emotion and modulates the relative influence of maximal versus mean emotion on these judgments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Same as it ever was: A clarification on the sources of predictable variance in job performance ratings

Same as it ever was: A clarification on the sources of predictable variance in job performance ratings

Vocational Calling, Meaningful Work, and Job Satisfaction Among Disability Services Providers

Abstract Recruiting and retaining a strong disability workforce remains an enduring concern in the field of intellectual and developmental disabilities. Yet little attention has focused on the sense of calling that disability service providers have to this important work and its relationships to their job satisfaction. We surveyed 269 disability service providers to examine whether they (a) perceive a calling in their life, (b) are living out that calling in their current work, (c) find meaning in their career, and (d) experience job satisfaction. The experience of both having and living out one’s calling in their current work was especially prominent among participants. Likewise, most providers indicated they drew considerable meaning and purpose from their work. Perceiving a calling contributed to higher job satisfaction through living out one’s calling and finding meaning in one’s work. Some variations in ratings were associated with personal demographics (i.e., sex, years of experience). These findings provide new insights into what might draw disability service providers into this work or sustain their commitment amidst challenging and changing working conditions. We highlight areas for research and practice aimed at place of calling within efforts to strengthening recruitment and retention.

The perceived beauty of art is not strongly calibrated to the statistical regularities of real-world scenes

Aesthetic judgements are partly predicted by image statistics, although the extent to which they are calibrated to the statistics of real-world scenes and the ‘visual diet’ of daily life is unclear. Here, we investigated the extent to which the beauty ratings of Western oil paintings from the JenAesthetics dataset can be accounted for by real-world scene statistics. We computed spatial and chromatic image statistics for the paintings and a set of real-world scenes captured by a head-mounted camera as participants went about daily lives. Partial least squares regression (PLSR) indicated that 6–15% of the variance in beauty ratings of the art can be accounted for by the art’s image statistics. The luminance contrast of paintings made an important contribution to the PLSR models: paintings were perceived as more beautiful the greater the variation in luminance. PLSR models which expressed the art’s image statistics relative to real-world scene statistics explained a similar amount of variance to models using the art’s image statistics. The importance of an image statistic to perceived beauty was not related to how closely art reproduces the value from the real world. The findings suggest that beauty judgements of art are not strongly calibrated to the scene statistics of the real world.

Selection tests work better than we think they do, and have for years

AbstractWe can make better decisions when we have a better understanding of the different sources of variance that impact job performance ratings. A failure to do so cannot only lead to inaccurate conclusions when interpreting job performance ratings, but often misguided efforts aimed at improving our ability to explain and predict them. In this paper, we outline six recommendations relating to the interpretation of predictive validity coefficients and efforts aimed at predicting job performance ratings. The first three focus on the need to evaluate the effectiveness of selection instruments and systems based only on the variance they can possibly account for. When doing so, we find that it is not only possible to account for the majority of the variance in job performance ratings that most select systems can possibly predict, but that we’ve been able to account for this variance for years. Our last three recommendations focus on the need to incorporate components related to additional sources of variance in our predictive models. We conclude with a discussion of their implications for both research and practice.

Combined perceptual and chemical analyses show no compelling evidence for ovulatory cycle shifts in women's axillary odour.

Although men's attraction to women's body odour has been suggested to vary over the ovulatory cycle, peaking around the fertile window, we still lack methodologically robust evidence corroborating this effect. Further, the chemical underpinnings of male preference for the odour of ovulating women remain unknown. Here, we combined perceptual and chemical analyses to investigate the axillary odour of naturally cycling women over 10 days, covering the gradual change in fertility across the ovulatory cycle with a focus on fertile days. The fertile state was confirmed by urinary ovulation tests as well as salivary oestradiol and progesterone levels. Men rated the scent of unfamiliar women, resembling a first encounter. We used multivariate analyses to relate variation in both odour ratings and chemical composition to female conception probability, temporal distance to ovulation and ovarian hormone levels. Our results provide no evidence that males prefer the odour of fertile women. Furthermore, the volatile analysis indicated no link between axillary odour composition and current fertility status. Together, our results showed no convincing support for a chemical fertility cue in women's axillary odour, questioning the presence of olfactory fertility information that is recognizable during first encounters in modern humans.

Inter-Rater and Intrarater Reliability of Radiographs in the Diagnosis of Pediatric Scaphoid Fractures.

Pediatric scaphoid fractures can be challenging to diagnose on plain radiograph. Rates of missed scaphoid fractures can be as high as 30% to 37% on initial imaging and overall sensitivity ranging from 21% to 97%. Few studies, however, have examined the reliability of radiographs in the diagnosis of scaphoid fractures, and none are specific to the pediatric population. Reliability, both between different specialists and for individual raters, may elucidate some of the diagnostic challenges. We conducted a 2-iteration survey of pediatric orthopedic surgeons, plastic surgeons, radiologists, and emergency physicians at a tertiary children's hospital. Participants were asked to assess 10 series of pediatric wrist radiographs for evidence of scaphoid fracture. Inter-rater and intrarater reliability was calculated using the intraclass correlation coefficient of 2.1. Forty-two respondents were included in the first iteration analysis. Inter-rater reliability between surgeons (0.66; 95% confidence interval, 0.43-0.87), radiologists (0.76; 0.55-0.92), and emergency physicians (0.65; 0.46-0.86) was "good" to "excellent." Twenty-six respondents participated in the second iteration for intrarater reliability (0.73; 0.67-0.78). Sensitivity (0.75; 0.69-0.81) and specificity (0.78; 0.71-0.83) of wrist radiographs for diagnosing scaphoid fractures were consistent with results in other studies. Both inter-rater and intrarater reliability for diagnosing pediatric scaphoid fractures on radiographs was good to excellent. No significant difference was found between specialists. Plain radiographs, while useful for obvious scaphoid fractures, are unable to reliably rule out subtle fractures routinely. Our study demonstrates that poor sensitivity stems from the test itself, and not rater variability.

What matters to you? An observational field study of patient and care provider expectations for health care relationships.

Therapeutic connections (TC) between patients and providers are foundational to patient-centered care, which is co-produced between patients and care providers. This necessitates that we understand what patients expect from TCs, the extent to which providers know what patients expect, and what providers expect. The purpose of this study was to examine nine TC dimensions and determine which are most important to patients, which dimensions providers believe are most important to patients, and which are most important to providers. An online survey of patients (n = 388) and care providers (n = 433) was conducted in the USA in March 2021. Respondents rated the extent to which the nine TC dimensions were important to them, followed by open-ended questions to expand upon what matters. The quantitative responses were rank-ordered and rankings were compared across groups. All groups ranked "having the patient's best interest in mind no matter what" as the top expectation. Patients also ranked "caring commitment" and being "on the same page" as highly important. Providers were relatively accurate in ranking what they believed was most important to patients. Respondents affirmed the TC dimensions in the qualitative results, adding nuance and context, such as patients feeling "heard" and noting providers that go "above and beyond." Providers ranked dimensions differently for themselves, prioritizing "full presence" and "emotional support" of patients. This study is among the first to examine expectations for TC. TC could play an explanatory role in understanding variation in patient experience ratings and other outcomes.

Attachment Wear in Different Clear Aligner Therapy: A Comparative Study

ABSTRACT Background: Because of its ease and visual attractiveness, clear aligner therapy has grown in popularity as an orthodontic treatment option. On the other hand, the results of therapy may be impacted by attachment wear. Comparing attachment wear in three distinct clear aligner systems—System A, System B, and System C—was the goal of this investigation. Methods: The research comprised 60 individuals receiving clear aligners as part of their orthodontic treatment. Depending on whatever clear aligner system was being utilised, the patients were split into three groups. Attachment wear was evaluated using a standardised scoring method regularly. The various systems’ attachment wear was compared using statistical analysis. Results: Compared to Systems B and C, System A showed less attachment wear. There were notable variations in attachment wear ratings between the systems. System C’s attachments had the most wear, whereas System A’s attachments had the least. Conclusion: Different clear aligner systems showed varying degrees of attachment wear, with System A exhibiting the least amount of wear. To maximise treatment procedures and guarantee treatment efficacy and longevity in clear aligner therapy, it is vital to comprehend attachment wear patterns.

Complementarity of subjective and objective realities: An experimental investigation of variations of subjective self-reported intelligence data when objective data are erased or not-erased

The Complementarity Principle (CP), introduced by Nils Bohr, described the wave-particle duality of quantum phenomena and its dependence on the measurement setup exploring the quantum states. In general, this principle summarized the fact that two mutually exclusive and contradictory states of quantum events can be reconciled as a measurement-dependent occurrence of these states. Originally, the CP was postulated only for the realm of quantum mechanics, but recently the Generalized Quantum Theory (GQT) extended its area of applicability to the macroscopic domain. According to GQT complementarity relations are also hypothesized to exist between macroscopic objective and subjective measurements of the same concept. This implies objective measurement-dependent variations of subjective experience. To test this hypothesis, seven studies were conducted in which individual variations in subjective intelligence ratings were tested in relation to the availability or non-availability of corresponding objective individual intelligence data. Only one pre-registered study (Study 2) showed strong Bayesian evidence for H1 (BF10 > 10), indicating, as predicted, higher subjective intelligence ratings when objective data were erased compared to a condition in which objective data were available within a male sample. This effect could not be replicated in direct replication attempts, nor did a moderator search in subsequent studies find any robust systematic variation in the data. The results seem to question the validity of the macroscopic complementarity conjecture derived from the GQT. On the other hand, they could also be interpreted as the “effect and decline” data pattern that the Model of Pragmatic Information would predict when conducting empirical confirmations of macroscopic complementarity relations. Possible future research strategies to clarify these different interpretations are discussed.

Associations between sickness behavior, but not inflammatory cytokines, and psychiatric comorbidity in chronic pain

ObjectivesApproximately one in five adults experiences chronic pain, often in co-occurrence with depression, insomnia, anxiety, and lower self-rated health. Elevated levels of cytokines, e.g. tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), interleukin 8 (IL-8), and interleukin 10 (IL-10), have been identified in patients with chronic pain. Depression, insufficient sleep, poor self-rated health, and pain intensity have also been associated with inflammatory biomarkers. This study aimed to investigate the interrelationships between inflammatory biomarkers and depression, insomnia, anxiety, self-rated health, sickness behavior, and pain intensity in patients with chronic pain. MethodsSelf-report questionnaires and blood samples analyzed for plasma levels of inflammatory biomarkers were collected from 80 adult patients with chronic pain. Associations between inflammatory biomarkers (TNF-α, IL-6, IL-8, IL-10, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR)) and depression, insomnia, anxiety, self-rated health, sickness behavior, and pain intensity, were analyzed using bivariate Spearman rank correlation coefficients and regression analyses. ResultsParticipants were mainly women (72.5 %), with a mean age of 50.8 years, and a reported mean pain duration of 16.7 years. There were significant correlations between insomnia and CRP (rs =.26, p <.05); sex and ESR (rs =.29, p <.05); age and IL-6 (rs =.29, p <.05) and IL-8 (rs =.30, p <.05); BMI and IL-6 (rs =.50, p <.001), CRP (rs =.63, p <.001) and ESR (rs =.42, p <.001). Ratings of depression were positively and significantly related to ratings of sickness behavior and anxiety (β =.32 and β =.40, respectively), explaining 49 % of the total variance in depression ratings. Insomnia was positively and significantly related to sickness behavior (β =.37) explaining 31 % of the total variance in insomnia ratings. Inflammatory biomarkers, however, did not contribute significantly to the models. ConclusionsParticipants reported high levels of symptoms, yet the associations between these ratings and the inflammatory biomarkers were either absent or weak. Also, despite high levels of self-reported sickness behavior, overall the inflammatory status remained within the normal range. Ratings of sickness behavior contributed more than inflammatory markers in explaining ratings of depression and insomnia. The present results point to the complexity of chronic pain, and the challenges of identifying biomarkers that explain symptomatology.

Decoding the best automated segmentation tools for vascular white matter hyperintensities in the aging brain: a clinician's guide to precision and purpose.

White matter hyperintensities of vascular origin (WMH) are commonly found in individuals over 60 and increase in prevalence with age. The significance of WMH is well-documented, with strong associations with cognitive impairment, risk of stroke, mental health, and brain structure deterioration. Consequently, careful monitoring is crucial for the early identification and management of individuals at risk. Luckily, WMH are detectable and quantifiable on standard MRI through visual assessment scales, but it is time-consuming and has high rater variability. Addressing this issue, the main aim of our study is to decipher the utility of quantitative measures of WMH, assessed with automatic tools, in establishing risk profiles for cerebrovascular deterioration. For this purpose, first, we work to determine the most precise WMH segmentation open access tool compared to clinician manual segmentations (LST-LPA, LST-LGA, SAMSEG, and BIANCA), offering insights into methodology and usability to balance clinical precision with practical application. The results indicated that supervised algorithms (LST-LPA and BIANCA) were superior, particularly in detecting small WMH, and can improve their consistency when used in parallel with unsupervised tools (LST-LGA and SAMSEG). Additionally, to investigate the behavior and real clinical utility of these tools, we tested them in a real-world scenario (N = 300; age > 50 y.o. and MMSE > 26), proposing an imaging biomarker for moderate vascular damage. The results confirmed its capacity to effectively identify individuals at risk comparing the cognitive and brain structural profiles of cognitively healthy adults above and below the resulted threshold.

The relationship of rate and pause features to the communicative participation of people living with ALS.

Many people living with amyotrophic lateral sclerosis (PALS) report restrictions in their day-to-day communication (communicative participation). However, little is known about which speech features contribute to these restrictions. This study evaluated the effects of common speech symptoms in PALS (reduced overall speaking rate, slowed articulation rate, and increased pausing) on communicative participation restrictions. Participants completed surveys (the Communicative Participation Item Bank-short form; the self-entry version of the ALS Functional Rating Scale-Revised) and recorded themselves reading the Bamboo Passage aloud using a smartphone app. Rate and pause measures were extracted from the recordings. The association of various demographic, clinical, self-reported, and acoustic speech features with communicative participation was evaluated with bivariate correlations. The contribution of salient rate and pause measures to communicative participation was assessed using multiple linear regression. Fifty seven people living with ALS participated in the study (mean age = 61.1 years). Acoustic and self-report measures of speech and bulbar function were moderately to highly associated with communicative participation (Spearman rho coefficients ranged from rs = 0.48 to rs = 0.77). A regression model including participant age, sex, articulation rate, and percent pause time accounted for 57% of the variance of communicative participation ratings. Even though PALS with slowed articulation rate and increased pausing may convey their message clearly, these speech features predict communicative participation restrictions. The identification of quantitative speech features, such as articulation rate and percent pause time, is critical to facilitating early and targeted intervention and for monitoring bulbar decline in ALS.

Five-Year Serial Brain MRI Analysis of Military Members Exposed to Chronic Sub-Concussive Overpressures.

The Canadian Special Operations Forces Command conducts explosives operations and training which exposes members to explosive charges at close proximity. This 5-year longitudinal trial was conducted in follow-up to our initial trial which examined military breachers with MRI and EEG pre and post blast exposure. To examine brain MRI findings in military personnel exposed to multiple repeated blast exposures. Five-year longitudinal prospective trial. Ninety-two males aged 23-42 with an average of 9.4 years of blast exposure. 3 T brain MRI/T1-weighted 3D with reconstruction in three planes, T2-weighted, T2-weighted fluid attenuated inversion recovery (FLAIR) 3D with reconstruction in three planes, T2-weighted gradient spin echo (GRE), saturation weighted images, DWI and ADC maps, diffusion tensor imaging. All MRI scans were interpreted by the two neuroradiologists and one neuroradiology Fellow in a blinded fashion using a customized neuroradiology reporting form. Matching parametric statistics represented the number of participants whose brain parameters improved or deteriorated over time. Odds ratio (OR) and 95% confidence intervals (CI) were computed using log regression modeling to determine volume loss, white matter lesions, hemosiderosis, gliosis, cystic changes and enlarged Virchow Robin (VR) spaces. A Kappa (κ) statistic with a 95% CI was calculated to determine rater variability between readers. A significant deterioration was observed in volume loss (OR = 1.083, 95% CI 0.678-1.731, permutation test), white matter changes (OR: 0.754, 95% CI 0.442-1.284, permutation test), and enlargement of VR spaces (OR: 0.775, 95% CI 0.513-1.171). Interrater reliability was low: κ = 0.283, 0.156, and 0.557 for volume loss, white matter changes, and enlargement of VR spaces, respectively. There were significant changes in brain volume, white matter lesions, and enlargement of VR spaces. 2 TECHNICAL EFFICACY: Stage 2.

Benchmarking Travelling Reviews using Opinion Mining

Online travel reviews offer valuable data, yet it remains uncertain if those most influenced by these reviews actually read them. This research aims to uncover consistent patterns and explain variations in online travel ratings, comments, and reviews. To accomplish this, millions of reviews were collected from Pakistan's top online travel companies, Uber and Careem. Utilizing semantic affiliation analysis, subject terms were extracted, forming a semantic affiliation structure. The findings highlight significant differences among channels concerning topical vocabulary, subject distribution, structural traits, and community links. The network visualization results are particularly noteworthy, as they illustrate connections between key concepts and words within each topic, making them easily understandable. With the proposed logical method, we can better understand the strategic snafus in the travel sector and gain fresh insights into how to dig up popular assessments to better serve tourists, lodging establishments, and trade groups.

Assessment centers do not measure competencies: Why this is now beyond reasonable doubt

AbstractAlthough assessment centers (ACs) are usually designed to measure stable competencies (i.e., dimensions), doubt about whether or not they reliably do so has endured for 70 years. Addressing this issue in a novel way, several published Generalizability (G) theory studies have sought to isolate the multiple sources of variance in AC ratings, including variance specifically concerned with competencies. Unlike previous research, these studies can provide a definitive answer to the AC construct validity issue. In this article, the historical context for the construct validity debate is set out, and the results of four large-scale G-theory studies of ACs are reviewed. It is concluded that these studies demonstrate, beyond reasonable doubt, that ACs do not reliably measure stable competencies, but instead measure general, and exercise-related, performance. The possibility that ACs measure unstable competencies is considered, and it is suggested that evidence that they do so may reflect an artefact of typical AC design rather than a “real” effect. For ethical, individual, and organizational reasons, it is argued that the use of ACs to measure competencies can no longer be justified and should be halted.