scholarly journals How Strong Should My Anchor Be For Estimating Group And Individual Level Meaningful Change? A Simulation Study Assessing Anchor Correlation Strength And The Impact of Sample Size, Distribution of Change Scores And Methodology On Establishing A True Meaningful Change Threshold.

Author(s):  
Philip Griffiths ◽  
Joel Sims ◽  
Abi Williams ◽  
Nicola Williamson ◽  
David Cella ◽  
...  

Abstract Purpose: Treatment benefit as assessed using clinical outcome assessments (COAs), is a key endpoint in many clinical trials at both the individual and group level. Anchor-based methods can aid interpretation of COA change scores beyond statistical significance, and help derive a meaningful change threshold (MCT). However, evidence-based guidance on the selection of appropriately related anchors is lacking. Methods: A simulation was conducted which varied sample size, change score variability and anchor correlation strength to assess the impact of these variables on recovering the true simulated MCT at both the individual and group-level. At the individual-level, Receiver Operating Characteristic (ROC) curves and Predictive Modelling (PM) anchor analyses were conducted. At the group-level, group means of the ‘not-improved’ and ‘improved’ groups were compared. Results: Sample sizes, change score variability and magnitude of anchor correlation affected accuracy of the estimated MCT. At the individual-level, ROC curves were less accurate than PM methods at recovering the true MCT. For both methods, smaller samples led to higher variability in the returned MCT, but higher variability still using ROC. Anchors with weaker correlations with COA change scores had increased variability in the estimated MCT. An anchor correlation of 0.50-0.60 identified a true MCT cut-point under certain conditions using ROC. However, anchor correlations as low as 0.30 were appropriate when using PM under certain conditions. At the group-level, the MCT was consistently underestimated regardless of the anchor correlation. Conclusion: Findings show that the chosen method, sample size and variability in change scores influence the necessary anchor correlation strength when identifying a true individual-level MCT. Often, this needs to be higher than the commonly accepted threshold of 0.30. Stronger correlations than 0.30 are required at the group-level, but a specific recommendation is not provided. Results can be used to assist researchers selecting and assessing the quality of anchors.

Author(s):  
Catherine S. Daus ◽  
Stephen R. Baumgartner

Studies of discrete pride in the workplace are both few and on the rise. We examined what has, to date, been unstudied, namely the impact that a leader’s expressions of authentic and hubristic pride can have on the followers at that moment, and on their attitudes regarding their task, leader, and group. Students working in groups building Lego structures rated their perceived leader regarding expressions of pride, both authentic and hubristic. Students who perceived the leader as expressing more authentic pride rated the task, group (satisfaction and cohesion), and leader more positively, while the reverse was generally true for perceptions of expressions of hubristic pride. We found these effects both at the individual level and at the group level. We also predicted and found moderation for the type of task worked on, creative or detailed. Implications abound for leader emotional labor and emotion management.


Author(s):  
Steve Baumgartner ◽  
Catherine Daus

Studies of discrete pride in the workplace are both few and on the rise. We examined what has, to date, been yet unstudied: the impact that a leader’s expressions of authentic and hubristic pride can have on the followers at that moment, and on their feelings about their task, leader, and group. Students working in groups building Lego structures rated their perceived leader regarding expressions of pride, both authentic and hubristic. Students who perceived the leader as expressing more authentic pride rated the task, group (satisfaction and cohesion), and leader more positively; while the reverse was generally true for perceptions of expressions of hubristic pride. We found these effects both at the individual level, and at the group level. We also predicted and found moderation for the type of task worked on, creative or detailed. Implications abound for leader emotional labor and emotion management.


Author(s):  
Hsueh-Ju Chen ◽  
Shaio-Yan Huang

This study examines two areas of auditing: namely, the identification of those factors that are associated with audit risk, business risk, and personal risk; and secondly how culture affects risk assessment. A factor analysis and a logistic regression are used to analyze questionnaire data collected from Singapore and Taiwan. The results show that three factors (the effectiveness of control activities, reporting bias of management and reliability of management) are strongly associated with the auditors risk assessment. This result replicates findings of previous research, indicating the importance of understand the clients control environment in the assessment of the likelihood of material misstatements. In addition, this study also hypothesized that differences in the cultural values of Chinese auditors are likely to result in differences in the risks assessed. The results show that auditors place more emphasis on their firms risk rather than their personal risk. However, compared to auditors in Taiwan, auditors in Singapore seem to be more concerned with risks at the individual level than at the group level. It implies the impact of Western Anglo-Saxon ideas on individuals from a Chinese background.


2021 ◽  
Author(s):  
Jessica Braid ◽  
Susanne Clinch ◽  
Hannah M Staunton ◽  
Patricia K Corey-Lisle ◽  
Bruno Kovic ◽  
...  

Abstract PurposeMethods for deriving clinically meaningful change thresholds have advanced considerably in recent years, however, key questions remain about what the identified change score actually means for an individual patient or group of patient. This is particularly important in the case of ClinROs where the translation from clinically meaningful change to patient-relevance in daily living is not clear. This paper provides case studies from an Industry perspective, where we have addressed this challenge using varied approaches. We have explored meaningful change at both the group and individual level.MethodsWe provide several case studies to illustrate different approaches to understanding and communicating a meaningful outcome on a ClinRO. These include alternative methods for interpreting group-level MCIDs, and several examples of linking ClinRO items to patient-relevant real-world concepts e.g. through exit interviews, translation of ClinRO items into patient-friendly concepts, and use of the Rasch model to equate ClinRO items to real-world functional measures.ResultsEach case study provides unique learning opportunities. For example, contextualising group-level differences, converting MCIDs into other metrics like numbers needed to treat and responder deltas supports interpretation of clinical meaning, especially for clinicians. For interpreting individual-level meaningful change, exit interviews and the development of patient-friendly versions of ClinROs provide a means of linking clinician-focused content to real-world functional outcomes in a meaningful way for patients. Finally, the Rasch model can help predict probable item scores on a ClinRO associated with the threshold at which a function is gained or lost.ConclusionWhile methods for deriving meaningful change thresholds have evolved, there remains a significant challenge in communicating what observed changes mean to the patient, a challenge which is further complicated in ClinROs. These case studies showcase novel approaches to addressing this challenge and may provide a useful addition to the COA scientist’s toolbox.


2016 ◽  
Vol 144 (8) ◽  
pp. 1717-1727 ◽  
Author(s):  
S. N. BUZDUGAN ◽  
M. A. CHAMBERS ◽  
R. J. DELAHAY ◽  
J. A. DREWE

SUMMARYAccurate detection of infection with Mycobacterium bovis in live badgers would enable targeted tuberculosis control. Practical challenges in sampling wild badger populations mean that diagnosis of infection at the group (rather than the individual) level is attractive. We modelled data spanning 7 years containing over 2000 sampling events from a population of wild badgers in southwest England to quantify the ability to correctly identify the infection status of badgers at the group level. We explored the effects of variations in: (1) trapping efficiency; (2) prevalence of M. bovis; (3) using three diagnostic tests singly and in combination with one another; and (4) the number of badgers required to test positive in order to classify groups as infected. No single test was able to reliably identify infected badger groups if <90% of the animals were sampled (given an infection prevalence of 20% and group size of 15 badgers). However, the parallel use of two tests enabled an infected group to be correctly identified when only 50% of the animals were tested and a threshold of two positive badgers was used. Levels of trapping efficiency observed in previous field studies appear to be sufficient to usefully employ a combination of two existing diagnostic tests, or others of similar or greater accuracy, to identify infected badger groups without the need to capture all individuals. To improve on this, we suggest that any new diagnostic test for badgers would ideally need to be >80% sensitive, at least 94% specific, and able to be performed rapidly in the field.


2020 ◽  
Author(s):  
Keith Payne ◽  
Heidi A. Vuletich ◽  
Kristjen B. Lundberg

The Bias of Crowds model (Payne, Vuletich, &amp; Lundberg, 2017) argues that implicit bias varies across individuals and across contexts. It is unreliable and weakly associated with behavior at the individual level. But when aggregated to measure context-level effects, the scores become stable and predictive of group-level outcomes. We concluded that the statistical benefits of aggregation are so powerful that researchers should reconceptualize implicit bias as a feature of contexts, and ask new questions about how implicit biases relate to systemic racism. Connor and Evers (2020) critiqued the model, but their critique simply restates the core claims of the model. They agreed that implicit bias varies across individuals and across contexts; that it is unreliable and weakly associated with behavior at the individual level; and that aggregating scores to measure context-level effects makes them more stable and predictive of group-level outcomes. Connor and Evers concluded that implicit bias should be considered to really be noisily measured individual construct because the effects of aggregation are merely statistical. We respond to their specific arguments and then discuss what it means to really be a feature of persons versus situations, and multilevel measurement and theory in psychological science more broadly.


2021 ◽  
pp. 073563312110308
Author(s):  
Fan Ouyang ◽  
Si Chen ◽  
Yuqin Yang ◽  
Yunqing Chen

Group-level metacognitive scaffolding is critical for productive knowledge building. However, previous research mainly focuses on the individual-level metacognitive scaffoldings in helping learners improve knowledge building, and little effort has been made to develop group-level metacognitive scaffolding (GMS) for knowledge building. This research designed three group-level metacognitive scaffoldings of general, task-oriented, and idea-oriented scaffoldings to facilitate in-service teachers’ knowledge building in small groups. A mixed method is used to examine the effects of the GMSs on groups’ knowledge building processes, performances, and perceptions. Results indicate a complication of the effects of GMSs on knowledge building. The idea-oriented scaffolding has potential to facilitate question-asking and perspective-proposing inquiry through peer interactions; the general scaffolding does not necessarily lessen teachers’ idea-centered explanation and elaboration on the individual level; the task-oriented scaffolding has the worst effect. Pedagogical and research implications are discussed to foster knowledge building with the support of GMSs.


2021 ◽  
Vol 10 (6) ◽  
pp. 1161
Author(s):  
Raluca Pais ◽  
Thomas Maurel

The epidemiology and the current burden of chronic liver disease are changing globally, with non-alcoholic fatty liver disease (NAFLD) becoming the most frequent cause of liver disease in close relationship with the global epidemics of obesity, type 2 diabetes and metabolic syndrome. The clinical phenotypes of NAFLD are very heterogeneous in relationship with multiple pathways involved in the disease progression. In the absence of a specific treatment for non-alcoholic steatohepatitis (NASH), it is important to understand the natural history of the disease, to identify and to optimize the control of factors that are involved in disease progression. In this paper we propose a critical analysis of factors that are involved in the progression of the liver damage and the occurrence of extra-hepatic complications (cardiovascular diseases, extra hepatic cancer) in patients with NAFLD. We also briefly discuss the impact of the heterogeneity of the clinical phenotype of NAFLD on the clinical practice globally and at the individual level.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gerardo Chowell ◽  
Sushma Dahal ◽  
Raquel Bono ◽  
Kenji Mizumoto

AbstractTo ensure the safe operation of schools, workplaces, nursing homes, and other businesses during COVID-19 pandemic there is an urgent need to develop cost-effective public health strategies. Here we focus on the cruise industry which was hit early by the COVID-19 pandemic, with more than 40 cruise ships reporting COVID-19 infections. We apply mathematical modeling to assess the impact of testing strategies together with social distancing protocols on the spread of the novel coronavirus during ocean cruises using an individual-level stochastic model of the transmission dynamics of COVID-19. We model the contact network, the potential importation of cases arising during shore excursions, the temporal course of infectivity at the individual level, the effects of social distancing strategies, different testing scenarios characterized by the test’s sensitivity profile, and testing frequency. Our findings indicate that PCR testing at embarkation and daily testing of all individuals aboard, together with increased social distancing and other public health measures, should allow for rapid detection and isolation of COVID-19 infections and dramatically reducing the probability of onboard COVID-19 community spread. In contrast, relying only on PCR testing at embarkation would not be sufficient to avert outbreaks, even when implementing substantial levels of social distancing measures.


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