1987•Palgrave Macmillan UK eBooksRequires access

Statistical Analysis IV: ONEWAY and ANOVA

Neil Frude

Abstract

Both of the procedures ONEWAY and ANOVA perform analysis of variance (anova). This statistical test compares the values of a dependent variable for cases which fall into a number of different groups. The independent (between subjects) t-test procedure does the same thing, but only two groups can be compared in each t-test analysis. A one-way analysis of variance can compare two, three or more groups classified in terms of a single independent variable. A two-way analysis of variance compares groups formed by classifying cases simultaneously on two independent variables. If the SPSS/PC+ analysis of variance is to include just one independent variable a one-way anova is performed using either ONEWAY or ANOVA. With two independent variables a two-way anova is performed; and so on for three-way anova, four-way anova, etc. For an anova with two or more (and up to 10) independent variables, the procedure ANOVA must be used.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Analysis of variance, Mixed-design analysis of variance, Statistics, One-way analysis of variance, Mathematics, Repeated measures design, Statistical analysis, Variance (accounting)