Presenting statistical results effectively
- Los Angeles : Sage, 2022
- xxvi, 424 p. ; ill., (some col.), 25 cm
Includes bibliographical references and index.
Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts. Focused on best practices for building statistical models and effectively communicating their results, this book helps you : Find the right analytic and presentation techniques for your type of data ; Understand the cognitive processes involved in decoding information ; Assess distributions and relationships among variables ; Know when and how to choose tables or graphs ; Build, compare, and present results for linear and non-linear models ; Work with univariate, bivariate, and multivariate
9781446269817
Akaike's information criterion Baysian Information ccriterion Binary regression models Clarke test Dummt coding Effect coding Fitted curve GDP Interaction effects Knuth binning method Linear models Multinomial logistic regression models Nested models Ordered models Regression models