IBM SPSS Statistics 23
Step by Step
A Simple Guide and Reference
14th Edition
Answers to Selected
Exercises
Darren George, Ph.D.
Canadian University College
Paul Mallery, Ph.D.
La Sierra University
Contents
General Notes . 1
Chapter 3: Creating and Editin

Chapter 11
Two-Way ANOVA
An analysis method for a quantitative outcome and two categorical explanatory
variables.
If an experiment has a quantitative outcome and two categorical explanatory
variables that are defined in such a way that each experimental u

Objectives (IPS Chapters 13.1 and 13.2)
Two-Way ANOVA:
Two-way ANOVA
The Two-Way ANOVA Model and Inference
for Two-Way ANOVA
IPS Chapters 13.1 and 13.2
Advantages of two-way ANOVA
The two-way ANOVA model
Main effects and interactions
Inference for two-way

Chapter 7
One-way ANOVA
One-way ANOVA examines equality of population means for a quantitative outcome and a single categorical explanatory variable with any number of levels.
The t-test of Chapter 6 looks at quantitative outcomes with a categorical expla

Two-Way Analysis of Variance
Note: Much of the math here is tedious but straightforward. Well skim over it in class but you
should be sure to ask questions if you dont understand it.
I.
OVERVIEW.
A.
Sometimes a researcher might want to simultaneously exam

ANOVA
ANOVA
Analysis of Variance
A procedure for comparing more than two
groups
independent variable: smoking status
non-smoking
one pack a day
> two packs a day
dependent variable: number of coughs per day
Chapter 16
k = number of conditions (in t

One-Way Analysis of Variance
Note: Much of the math here is tedious but straightforward. Well skim over it in class but you
should be sure to ask questions if you dont understand it.
I.
Overview
A.
We have previously compared two populations, testing hypo

One-Way Independent ANOVA
There goes my hero . Watch him as he goes (to hospital)
Children wearing superhero costumes are more likely to harm themselves because of the unrealistic impression of
invincibility that these costumes cou

One-Way Analysis of Variance (ANOVA)
Although the t-test is a useful statistic, it is limited to testing hypotheses about two
conditions or levels. The analysis of variance (ANOVA) was developed to allow a researcher to
test hypotheses about two or more c