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
Emerging New Psychiatric Symptoms and the Worsening of Pre-existing Mental Disorders during the COVID-19 Pandemic: A Canadian Multisite Study: Nouveaux symptômes psychiatriques émergents et détérioration des troubles mentaux préexistants durant la pandémie de la COVID-19: une étude canadienne multisite.
Rébecca Robillard,Alexander R. Daros,Jennifer L. Phillips,Meggan Porteous,Mysa Saad,Marie-Hélène Pennestri,Tetyana Kendzerska,Jodi D. Edwards,Elizaveta Solomonova,Rajiv Bhatla,Roger Godbout,Zachary Kaminsky,Addo Boafo,Lena C. Quilty,Lena C. Quilty +14 more
TL;DR: The coronavirus disease 2019 (COVID-19) pandemic has caused global disruptions with serious psychological impacts as discussed by the authors, where the emergence of new psychiatric symptoms and new psychiatric disorders were investigated.
Journal ArticleDOI
Keyword Search for Building Service-Based Systems
TL;DR: Large-scale experiments using two real-world Web service datasets are conducted to demonstrate the practicality, effectiveness and efficiency of KS3, a novel approach that integrates and automates the system planning, service discovery and service selection operations for building SBSs based on keyword search.
Journal ArticleDOI
Monitoring changes of NDVI in protected areas of southern California
Thomas W. Gillespie,Stacey Ostermann-Kelm,Chunyu Dong,Katherine S. Willis,Gregory S. Okin,Glen M. MacDonald +5 more
TL;DR: In this article, the authors use MODIS sensors at a 250m pixel resolution and the Normalized Difference Vegetation Index (NDVI) to monitor temporal/spatial patterns from 2000 to 2016 within Santa Monica Mountains National Recreation Area and Channel Islands National Park.
Journal ArticleDOI
Statistical model of the heating prediction gap in Dutch dwellings: Relative importance of building, household and behavioural characteristics
TL;DR: In this article, the authors examined the discrepancies between the normalised theoretical and actual heating consumption using the example of The Netherlands using descriptive statistics and multiple regression, and investigated several parameters thought to have a different effect on actual and theoretical heating energy use.
Journal ArticleDOI
A Steering Algorithm for Redirected Walking Using Reinforcement Learning
TL;DR: This paper investigates the potential of using RL to develop a novel reactive steering algorithm for RDW, and uses RL to train a deep neural network that directly prescribes the rotation, translation, and curvature gains to transform a virtual environment given a user's position and orientation in the tracked space.
References
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Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets
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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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