Spearman Community Data Profile
Author | : Texas Economic Development Commission |
Publisher | : |
Total Pages | : 6 |
Release | : 1986 |
Genre | : Spearman (Tex.) |
ISBN | : |
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Author | : Texas Economic Development Commission |
Publisher | : |
Total Pages | : 6 |
Release | : 1986 |
Genre | : Spearman (Tex.) |
ISBN | : |
Author | : Texas Industrial Commission. Operations Division. Research and Data Services Department |
Publisher | : |
Total Pages | : 6 |
Release | : 1982 |
Genre | : Spearman (Tex.) |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 528 |
Release | : 1987-07 |
Genre | : Government publications |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 756 |
Release | : 1987 |
Genre | : Government publications |
ISBN | : |
Author | : Helle Munk Ravnborg |
Publisher | : CIAT |
Total Pages | : 64 |
Release | : 1999 |
Genre | : Poverty |
ISBN | : 9586940233 |
Author | : Neil J. Salkind |
Publisher | : SAGE |
Total Pages | : 1417 |
Release | : 2007 |
Genre | : Psychology |
ISBN | : 1412916119 |
Publisher Description
Author | : Jean Dickinson Gibbons |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 1993-02-25 |
Genre | : Reference |
ISBN | : 9780803946644 |
Aimed at helping the researcher select the most appropriate measure of association for two or more variables, the author clearly describes such techniques as Spearman's rho, Kendall's tau, Goodman and Kruskals' gamma and Somer's d and carefully explains the calculation procedures as well as the substantive meaning of each measure.
Author | : Stéphane Pesce |
Publisher | : Frontiers Media SA |
Total Pages | : 569 |
Release | : 2020-07-17 |
Genre | : |
ISBN | : 2889638812 |
Author | : Herschel Knapp |
Publisher | : SAGE Publications |
Total Pages | : 381 |
Release | : 2017-09-14 |
Genre | : Social Science |
ISBN | : 1506377416 |
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.
Author | : Jessica Galloway-Peña |
Publisher | : Frontiers Media SA |
Total Pages | : 186 |
Release | : 2019-02-06 |
Genre | : |
ISBN | : 2889456536 |
High-throughput sequencing technologies are widely used to study microbial ecology across species and habitats in order to understand the impacts of microbial communities on host health, metabolism, and the environment. Due to the dynamic nature of microbial communities, longitudinal microbiome analyses play an essential role in these types of investigations. Key questions in microbiome studies aim at identifying specific microbial taxa, enterotypes, genes, or metabolites associated with specific outcomes, as well as potential factors that influence microbial communities. However, the characteristics of microbiome data, such as sparsity and skewedness, combined with the nature of data collection, reflected often as uneven sampling or missing data, make commonly employed statistical approaches to handle repeated measures in longitudinal studies inadequate. Therefore, many researchers have begun to investigate methods that could improve incorporating these features when studying clinical, host, metabolic, or environmental associations with longitudinal microbiome data. In addition to the inferential aspect, it is also becoming apparent that visualization of high dimensional data in a way which is both intelligible and comprehensive is another difficult challenge that microbiome researchers face. Visualization is crucial in both the analysis and understanding of metagenomic data. Researchers must create clear graphic representations that give biological insight without being overly complicated. Thus, this Research Topic seeks to both review and provide novels approaches that are being developed to integrate microbiome data and complex metadata into meaningful mathematical, statistical and computational models. We believe this topic is fundamental to understanding the importance of microbial communities and provides a useful reference for other investigators approaching the field.