Principles & methods of statistical analysis /
Principles and methods of statistical analysis
Jerome Frieman, Donald A. Saucier, Stuart S. Miller, Kansas State University.
- Los Angeles : SAGE Publications, Inc., c2018.
- xxix, 496 p. : ill. ; 24 cm.
About the authors -- Getting started -- The big picture -- Examining our data : an introduction to some of the techniques of exploratory data analysis -- The behavior of data -- Properties of distributions : the building blocks of statistical inference -- The basics of statistical inference : drawing conclusions from our data -- Estimating parameters of populations from sample data -- Resistant estimators of parameters -- General principles of hypothesis testing -- Specific techniques to answer specific questions -- The independent groups t-tests for testing for differences between population means -- Testing hypotheses where the dependent variable consists of frequencies of scores in various categories -- The randomization/permutation model : an alternative to the classical statistical model for testing hypotheses about treatment effects -- Exploring the relationship between two variables : correlation -- Exploring the relationship between two variables : the linear regression model -- A closer look at linear regression -- Another way to scale the size of treatment effects -- Analysis of variance for testing for differences between population means -- Multiple regression and beyond -- Epilogue -- Appendices -- A. Some useful rules of algebra -- B. Rules of summation -- C. Logarithms -- Table of the inverse of the cumulative normal distribution -- E. The unit normal distribution -- F. The t distribution -- G. Table for the fisher r to Zr transformation -- H. Critical values for F with alpha = .05 -- The chi square distribution -- Index.
Using real research on antisocial behaviours such as cyberbullying, prejudice and discrimination, this text helps readers across the social sciences to understand the underlying theory behind statistical methods.