All studies are based on statistical methods and, by choosing the right tools, you can get a lot of information out of these studies. In this article, I will be explaining the various statistical methods used in communication science. Before continuing, let me clarify that I’m not talking about those statistical methods involving complex formulas — just the ones that are sufficient for communication science.
This book is an introduction to the important statistical methods used in communication science. It also provides enough details for the reader to conduct simulations and conduct original research. This text covers the following statistical techniques: Simple and multiple regression, Logistic regression, Factor analysis, ANOVA, Multivariate analysis of variance (MANOVA), Multifactor dimensionality reduction (MDR), Canonical correlation analysis, Hierarchical linear modeling (HLM) and Correspondence Analysis (CA), Non-parametric methods: Rank based statistics, Pair-wise rank statistics, Wilcoxon tests, Kruskal Wallis test.
This article introduces statistical methods for communication sciences, with an emphasis on the importance of historical and philosophical backgrounds, issues in designing and conducting research studies, and the analysis of social data.
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| Height | 9 Inches |
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| Release Date | 1998-01-15T00:00:01Z |
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| Release Date | 2019-06-28T00:00:00.000Z |
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| Color | 47pcs Science Kit |
Price : $31.73
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| Length | 5.55 Inches |
| Weight | 1 Pounds |
| Release Date | 2017-08-15T00:00:01Z |