Author
James D. Evans
Bio: James D. Evans is an academic researcher from Lindenwood University. The author has contributed to research in topics: Nonparametric statistics & One-way analysis of variance. The author has an hindex of 1, co-authored 1 publications receiving 1667 citations.
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02 Aug 1995TL;DR: In this paper, the authors present a review of computer applications of statistics, including one-sample t statistic, two-way analysis of variance, and repeated-measures analysis for variance nonparametric tests.
Abstract: Getting started: why study satistics? basic concepts and ideas. Descriptive statistics: frequency distributions and graphs summary measures relative measures and the normal curve linear correlation linear regression. Concepts of inferential statistics: sampling distributions logic of hypothesis testing. Methods of inferential statistics: one-sample t statistic - when a t ratio is not practical two-sample t tests analysis of variance two-way analysis of variance repeated-measures analysis of variance nonparametric tests bringing it all together. Appendices: statistical tables answers to selected review questions computer applications of statistics.
1,911 citations
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TL;DR: In this article, a content analysis is carried out to determine symptom overlap among the 7 common depression scales via the Jaccard index (0=no overlap, 1=full overlap). Per scale, rates of idiosyncratic symptoms, and rates of specific vs. compound symptoms, are computed.
305 citations
TL;DR: Although professionally generated content is superior in number, user-generated content was significantly more popular and videos that had consistent science communicators were more popular than those without a regular communicator.
Abstract: YouTube has become one of the largest websites on the Internet. Among its many genres, both professional and amateur science communicators compete for audience attention. This article provides the first overview of science communication on YouTube and examines content factors that affect the popularity of science communication videos on the site. A content analysis of 390 videos from 39 YouTube channels was conducted. Although professionally generated content is superior in number, user-generated content was significantly more popular. Furthermore, videos that had consistent science communicators were more popular than those without a regular communicator. This study represents an important first step to understand content factors, which increases the channel and video popularity of science communication on YouTube.
216 citations
TL;DR: This paper developed statistical techniques for handling experimental measurement error and applied them to data from the Caltech Cohort Study, which conducts repeated incentivized surveys of the student body, demonstrating that results change substantially when measurement error is accounted for.
Abstract: Measurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited behaviors, and biased correlations between characteristics. We develop statistical techniques for handling experimental measurement error. These techniques are applied to data from the Caltech Cohort Study, which conducts repeated incentivized surveys of the Caltech student body. We replicate three classic experiments, demonstrating that results change substantially when measurement error is accounted for. Collectively, these results show that failing to properly account for measurement error may cause a field-wide bias leading scholars to identify “new” phenomena.
200 citations
TL;DR: The findings of this study show the ability to improve the organizational system of strategies to combat the pandemic in the State of Rio de Janeiro, Brazil, and other tropical countries around the word.
194 citations
11 Mar 2018
TL;DR: The Benthic Terrain Modeler (BTM) as discussed by the authors uses bathymetric data to enable simple characterization of benthic biotic communities and geologic types, and produces a collection of key geomorphological variables known to affect marine ecosystems and processes.
Abstract: High resolution remotely sensed bathymetric data is rapidly increasing in volume, but analyzing this data requires a mastery of a complex toolchain of disparate software, including computing derived measurements of the environment. Bathymetric gradients play a fundamental role in energy transport through the seascape. Benthic Terrain Modeler (BTM) uses bathymetric data to enable simple characterization of benthic biotic communities and geologic types, and produces a collection of key geomorphological variables known to affect marine ecosystems and processes. BTM has received continual improvements since its 2008 release; here we describe the tools and morphometrics BTM can produce, the research context which this enables, and we conclude with an example application using data from a protected reef in St. Croix, US Virgin Islands.
176 citations