Statistics and data analysis for nursing research

Introduction to data analysis in an evidence-based practice environment

Frequency distributions : tabulating and displaying data

Central tendency, variability, and relative standing

Bivariate description : crosstabulation, risk indexes, and correlation

Statistical inference

T tests : testing two mean differences

Analysis of variance

Chi-square and other nonparametric tests

Correlation and simple regression

Multiple regression

Analysis of covariance, multivariate ANOVA, and related multivariate analyses

Logistic regression

Factor analysis and internal consistency reliability analysis

Missing values.