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Terminology and Concepts in Analysis of Variance (ANOVA), Quizzes of Psychology

Definitions for key terms and concepts in analysis of variance (anova), including main effect, interaction effect, factorial design, planned comparison, post hoc comparison, factor, independent variable, subject variable, f ratio, structural model equation, and assumptions of two-way anova. It also explains the difference between a priori and post hoc comparisons and provides examples of the number of factors and cells in a 2x3x3 design.

Typology: Quizzes

2010/2011

Uploaded on 04/13/2011

princev1125
princev1125 🇺🇸

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TERM 1
main effect
DEFINITION 1
impact of one factor on the dependent variable averaged
across the factors
TERM 2
interaction effect
DEFINITION 2
Situation in a factorial ANOVA in which a combination of
variables has an effect that could not be predicted from the
effects of the two variables individually
TERM 3
factorial design
DEFINITION 3
Way of organizing a study in which the influence of two or
more variables is studied at once by setting up the situation
so that a different group of people are tested for each
combination of the levels of the variables
TERM 4
planned comparison
DEFINITION 4
comparisons made before collecting data
TERM 5
post hoc comparison
DEFINITION 5
comparisons made after collecting data
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main effect

impact of one factor on the dependent variable averaged across the factors TERM 2

interaction effect

DEFINITION 2 Situation in a factorial ANOVA in which a combination of variables has an effect that could not be predicted from the effects of the two variables individually TERM 3

factorial design

DEFINITION 3 Way of organizing a study in which the influence of two or more variables is studied at once by setting up the situation so that a different group of people are tested for each combination of the levels of the variables TERM 4

planned comparison

DEFINITION 4 comparisons made before collecting data TERM 5

post hoc comparison

DEFINITION 5 comparisons made after collecting data

factor (in analysis of variance)

independent variable or subject variable implies only in situation of analysis and variance TERM 7

independent variable

DEFINITION 7 directly manipulated by the researchers TERM 8

subject variable

DEFINITION 8 characteristic someone brings to a study, which is not directly manipulated TERM 9

What is the basic concept of the F ratio?

DEFINITION 9 Explained varience divided by error variance TERM 10

Write and label the terms of the structural

model equation for a single score in one-way,

between groups, univariate ANOVA.

DEFINITION 10 X GM) = (X M) + (M GM)(X GM) = How much the score deviates from the grand mean(X M) = Deviation of sample score from sample mean(M GM) = Deviation of sample from grand mean due to the independent variable

What are the assumptions of two-way,

between groups, univariate ANOVA?

Populations follow a normal curve Populations have equal variances Observations are independent Dependent variable data are interval or ratio TERM 17

a) Draw and label the circle of the dependent

variable variance with divisions for two-way

ANOVA (i.e., explained variance, unexplained

variance, etc.). (b) Briefly explain what the

drawing represents.

DEFINITION 17 Definition TERM 18

Another term for independent variable or

subject variable in ANOVA is

DEFINITION 18 factor TERM 19

Another term for mean square in an ANOVA

table is

DEFINITION 19 variance TERM 20

Another term for error term in a between

groups ANOVA table is

DEFINITION 20 within groups

The smallest identifiable group in an ANOVA

design is called a

cell TERM 22

ANOVA is an acronym for

DEFINITION 22 Analysis of Variance. TERM 23

In a two-way ANOVA, if we know that one

main effect is significant, (a) how does that

affect the probability that the other main

effect will be significant? (b) How does that

affect the probability that the interaction will

be significant?

DEFINITION 23 a. No effect...b. No effect