Bivariate Analysis

 

4

Introduction

Bivariate analysis is concerned with the relationships between pairs of variables (X, Y) in a data set. The following data analysis situations can be visualized, depending on the measurement levels of variables and whether there is any distinction between dependent and independent variables.

Variables

Measurement scale

Distinction between dependent and independent variables?

Statistical technique

IDAMS module

X Y

Interval Interval

No distinction

Pearson’s correlation

PEARSON

X Y

Ordinal Ordinal

No distinction

Kendall’s Tau Spearman’s Rho Wilcoxon Signed Test Mann-Whittney Test

TABLES

X Y

Nominal Nominal

No distinction

Chi- square Lambda Test

TABLES

X Y

Interval Interval

Distinction

Simple linear regression

REGRESSN

X Y

Nominal   Interval

Distinction: Y is dependent

Regression with dummy
variables One way analysis of variance

REGRESSN   ONEWAY