ABSTRACT
Statistical analysis is essential to hypothesis testing in quantitative research. This chapter begins with statistical procedures related to the measurement of relationships between two variables, including t-tests, Χ2, correlation, and one-way analysis of variance (ANOVA). Guidelines for the selection of appropriate tests, the specific considerations of linearity and strength of relationships for correlation, and the necessary information to list in writing about results are all addressed. Additionally, this unit covers multivariate statistical procedures. Regression and ANOVA are addressed, including definitions of logistic regression and odds ratios, along with MANOVA and ANCOVA. Guidelines are offered for the interpretation of both unstandardized and standardized regression coefficients along with R 2. Examples of statistical results are given, along with a comprehensive guide for identifying the appropriate procedure given the level of measurement of the independent and dependent variable or variables for a given relationship.
