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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Journal ArticleDOI
Quantifying Drought Sensitivity of Mediterranean Climate Vegetation to Recent Warming: A Case Study in Southern California
TL;DR: Based on annual NDVI response, chaparral is the most vulnerable community to warming, which will probably be severely affected by hotter droughts in the future, and drought sensitivity of coastal sage scrub is also shown to be very responsive to warming in fall and winter.
Posted Content
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics
TL;DR: This work reviews several recommendations in the literature and proposes methodological guidelines to prepare a successful proposal of a new bio-inspired algorithm, taking both the novelty and the significance of the results presented in such studies into account.
Journal ArticleDOI
Beliefs and Attitudes about Science and Mathematics in Pre-Service Elementary Teachers, STEM, and Non-STEM Majors in Undergraduate Physics Courses
TL;DR: The authors examined beliefs about the Nature of Science (NoS), attitudes toward science and mathematics, and beliefs about teaching of mathematics and science in a large sample of pre-service teachers over a 10-year period.
Journal ArticleDOI
Contrastive machine learning reveals the structure of neuroanatomical variation within autism
TL;DR: The authors used contrastive deep learning to disentangle ASD-specific neuroanatomical variation from variation shared with typical control participants and found evidence for continuous variation and identified two axes of variation in brain structure.
Journal ArticleDOI
The Impact of Health Information Exchanges on Emergency Department Length of Stay
TL;DR: In this article, a large dataset from the Healthcare Cost and Utilization Project (HCUP) consisting of about 7.4 million treat-and-release visits made to 63 EDs in Massachusetts was used to study the relationship between HIE adoption and length of stay (LOS) in emergency departments.
References
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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.
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