Journal ArticleDOI
Research Commentary---Too Big to Fail: Large Samples and the p-Value Problem
TLDR
This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay.Abstract:
The Internet has provided IS researchers with the opportunity to conduct studies with extremely large samples, frequently well over 10,000 observations. There are many advantages to large samples, but researchers using statistical inference must be aware of the p-value problem associated with them. In very large samples, p-values go quickly to zero, and solely relying on p-values can lead the researcher to claim support for results of no practical significance. In a survey of large sample IS research, we found that a significant number of papers rely on a low p-value and the sign of a regression coefficient alone to support their hypotheses. This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay. We believe that addressing the p-value problem will increase the credibility of large sample IS research as well as provide more insights for readers.read more
Citations
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Defining and comparing SICR-events for classifying impaired loans under IFRS 9
TL;DR: In this article , the authors examined the shortcomings of this approach and proposed an alternative framework for generating SICR-definitions, based on three parameters: delinquency, stickiness, and the outcome period.
Posted ContentDOI
The relative effectiveness of a high-dose quadrivalent influenza vaccine vs standard-dose quadrivalent influenza vaccines in older adults in France: a retrospective cohort study during the 2021-22 influenza season
Hélène Bricout,M.-C. Levant,Nahla Abou Assi,Pascal Crépey,Alexandre Descamps,Karine De Mari,Jacques Gaillat,Gaëtan Gavazzi,P. Grenier,Odile Launay,Anne Mosnier,Fanny Raguideau,Laurence Watier,Rebecca Harris,Ayman Chit +14 more
TL;DR: In this paper , a comparison between high-dose quadrivalent influenza vaccine (HD-QIV) and standard-dose Quadrivalent Influenza vaccine (SD-QV) was performed in France.
Journal ArticleDOI
Good Scientific Practice and Ethics in Sports and Exercise Science: A Brief and Comprehensive Hands-on Appraisal for Sports Research
Nitin Kumar Arora,Golo Roehrken,S. Crumbach,Ashwin Phatak,Berit Kristin Labott,André Nicklas,Pamela Wicker,Lars Donath +7 more
TL;DR: In this article , the authors provide a comprehensive overview of the clinical and ethical challenges in sports and exercise research and also enlist solutions to improve method design in clinical trials and provide checklists to minimize the chances of scientific misconduct.
Posted ContentDOI
Five years of Hospital at Home adoption in Catalonia: impact and challenges
R. González-Colom,Gerard Carot-Sans,Emili Vela,Mireia Espallargues,Catalina Hernández,Francesc Xavier Jimenez,D. Nicolas,Mónica Suárez,Elvira Torné,E. Villegas-Bruguera,F. Ozores,I. Cano,Jordi Piera-Jimenez,Jordi Roca +13 more
TL;DR: In this paper , a study aimed to assess population-wide HaH outcomes over five years (2015-2019) in a consolidated regional HaH program and provide context-independent recommendations for service quality assurance.
References
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Journal ArticleDOI
Things I Have Learned (So Far).
TL;DR: The application of statistics to psychology and the other sociobiomedical sciences has been studied extensively as discussed by the authors, including the principles "less is more" (fewer variables, more highly targeted issues, sharp rounding off), "simple is better" (graphic representation, unit weighting for linear composites), and "some things you learn aren't so."
Journal ArticleDOI
To Explain or to Predict
TL;DR: The distinction between explanatory and predictive models is discussed in this paper, and the practical implications of the distinction to each step in the model- ing process are discussed as well as a discussion of the differences that arise in the process of modeling for an explanatory ver- sus a predictive goal.
Journal ArticleDOI
Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets
TL;DR: It is suggested that identity-relevant information about reviewers shapes community members' judgment of products and reviews and shows that shared geographical location increases the relationship between disclosure and product sales, thus highlighting the important role of geography in electronic commerce.
Journal ArticleDOI
Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets
TL;DR: In this paper, the authors used a unique data set based on both chronologically compiled ratings as well as reviewer characteristics for a given set of products and geographical location-based purchasing behavior from Amazon, and provided evidence that community norms are an antecedent to reviewer disclosure of identity-descriptive information.
Book
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models
TL;DR: McCoch as discussed by the authors provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear model for counts and other outcomes.