The How-To Guides are a series of documents that provide information about reading and interpreting research articles to anyone interested in scientific research. The purpose of these guides is to familiarize readers with common statistical language and some of the more common statistical procedures found in social and behavioral science. A better understanding of statistical procedures allows a reader to have a more critical evaluation of research, and is necessary for drawing independent conclusions about the merits and implications of research for programs and policy. These guides provide a step in that direction by clarifying common statistical procedures and providing examples of how these techniques might be used in research.
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Understanding t-Tests: A How-To GuideThis guide covers the basics of how to statistically compare groups of people using repeated measures and independent samples t-tests. |
Understanding Correlation: A How-To GuideIn this How-To Guide, we cover the basics of correlation as well as provide examples of how correlation is used in academic research. |
Understanding Regression Analysis: A How-To GuideThis guide provides an overview of regression analysis, a correlation based statistical technique, and includes information about variance, prediction, and how a regression might be reported in a research article. |
Reading a Research Article: A How-To GuideReading a research article may be an intimidating experience for some and is partly a matter of skill and experience. Don’t be intimidated; using a step by step approach, even a difficult looking article can be an easy read. |
Understanding ANOVA: A How-To GuideIn this How-To Guide, we discuss the uses of ANOVA to answer such questions where differences are explored between three or more groups of individuals. |
Understanding Statistical Language: A How-To GuideThis guide provides an overview of some of the more common statistical language used in research articles and explain the meaning of frequently used symbols and short-hand used to explain research findings. |