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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.

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Citations
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Journal ArticleDOI

A framework for the study of positive deviance in organizations

TL;DR: In this article, the authors synthesize existing definitions and approaches to the organizational study of positive deviance, integrate them into a coherent conceptual framework, and offer methodological advice and illustrations.
Journal ArticleDOI

Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model

TL;DR: This case study divided Beijing into regular grid cells and extracted activity centers for each social media user and found that sets obtained by aggregating user activity centers have a better delimitating effect than sets obtained without aggregation.
Journal ArticleDOI

Large-scale semi-automated acoustic monitoring allows to detect temporal decline of bush-crickets

TL;DR: In this paper, the authors used an acoustic region-wide citizen-monitoring program of Orthoptera, conducted along roads, to assess the relevance of automatic species recognition methods to detect temporal trends while taking into account spatial and seasonal patterns of two orthoptera species activity at a large scale.
Journal ArticleDOI

Alternative empirical Bayes models for adjusting for batch effects in genomic studies

TL;DR: This work provides batch effect solutions for cases where the severity of the batch effects is not extreme, and forcases where one high-quality batch can serve as a reference, such as the training set in a biomarker study.
Journal ArticleDOI

Patterning of wound-induced intercellular Ca(2+) flashes in a developing epithelium.

TL;DR: It is found that intercellular Ca(2+) transients show spatially non-uniform characteristics across the proximal-distal axis of the larval wing imaginal disc, which exhibit a gradient in cell size and anisotropy, and follows lines of mechanical tension at velocities that are largely independent of tissue heterogeneity and reflect the mechanical state of the underlying tissue.
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: 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.
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Trending Questions (1)
What are the positives of large samples in research?

Large samples in research provide researchers with more statistical power, increased generalizability of findings, and the ability to detect smaller effect sizes.