1,721,526 research outputs found
P Values and Statistical Significance
No full textThis resource, created by author Will G. Hopkins, defines what a p-value is, why .05 is significant, and when to use it. It also covers related topics such as one-tailed/two-tailed tests and hypothesis testing. Overall, this is a wonderful resource for students wanting to learn more about statistics, and more specially, significant testing
Letter from Will G. Steel to John Muir, 1901 Dec 26.
Get PDF[letterhead]Dec. 26. 1901John Muir,Martinez, Cal.,My Dear Mr. Muir:-Your beautiful present to the club came to [hand?] last evening and I want to express to you our deep appreciation and heartfelt thanks. Sometime ago I resigned as Corresponding Secretary and am now holding no office, but, will forward the book to the proper official, who will doubtless tender the official thanks, but, they won\u27t be any more hearty than mine.Sincerely Your Friend,Will G. Steel02910https://scholarlycommons.pacific.edu/jmcl/40018/thumbnail.jp
Sportscience
No full textProfessor Will Hopkins of AUT University in Auckland has been working in the world of sport science for decades, and his website is a crucial resource for people interested in such matters. The Sportscience website features a peer-reviewed journal, information about sport science research methodologies, and thematic areas on sports medicine, sport nutrition, and statistics. On the right-hand side of the site's homepage, visitors can look over the "Articles/Slideshows" area for helpful pieces on controlled trials, assessing athletes, and sample-size estimation. Moving back to the journal, visitors have access to all of the past issues, and they can take advantage of the sophisticated search engine to look for specific materials. Finally, visitors to the site will also want to sign up to join the email list
A New View of Statistics
No full textThis online resource is intended to help students understand concepts from probability and statistics and covers many topics from introductory to advanced. You can follow the progression of the text, or you can click on a topic on the left. Key words include: alpha reliability, analysis of covariance (ANCOVA), analysis of variance (ANOVA), Bayesian analysis, bias, binomial regression, Bonferroni adjustment, bootstrapping, Categorical modeling, central limit theorem; Chi-squared test, clinical significance, cluster analysis, coefficient of variation, confidence intervals, contingency table, controlled trial, confounders, correlation, dimension reduction, discriminant function analysis, frequency, Normal, Poisson, probability Distributions, effect, error, factor analysis, goodness of fit, heteroscedasticity, hypothesis testing, independence, interactions, Kappa coefficient, Latin squares, least squares means, likert scales, linear regression, logistic regression, multivariate ANOVA (MANOVA), mixed modeling, multiple linear regression, nonparametric models, odds ratio, P values, path analysis, percentiles, polynomial regression, power, PRESS, probability, relative frequency; repeated measures; sample size, sampling, sensitivity; stepwise regression, structural equation modeling, T test, transformation, and validity. This is a large, and fairly comprehensive, collection of statistical concepts
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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