ANOVAs

Question 1

Analysis of Variance

Answer 1

Comparison between 2 or more groups

Question 2

One-way ANOVA

Answer 2

An anova with multiple groups where one factor is being tested

Question 3

Two-way anova (three way four way etc)

Answer 3

An ANOVA where more than one operational definition or “factor” is being tested

Question 4

Between subjects ANOVA

Answer 4

An ANOVA where two independent groups are compared

Question 5

Within subjects ANOVA

Answer 5

An ANOVA with two groups whos data are dependent on each other

Question 6

n, N, K

Answer 6

n=number of participants in a group
N=number of participants in a study
k=number of groups (levels in a factor, for instance one two or three majors etc)

Question 7

Quasi-Experimental assignment

Answer 7

An assignment of participants to groups based on a pre-decided factor, “you’re with your group based on this particular aspect”

Question 8

Experimental Assignment

Answer 8

where all participants are randomly assigned to groups

Question 9

Between groups variation

Answer 9

How different are people overall in a group from overall another people in another?

Question 10

Within group variation

Answer 10

How different are people from each other within a particular group in a study

Question 11

F-Distro

Answer 11

A positively skewed one-tailed-test used to test ANOVAs

Question 12

F-statistic (F-obtained)

Answer 12

Test Statistic for ANOVA: mean square between groups divided by mean square within groups (error)
(variance between groups (numerator))/(variance within groups(denominator))

Question 13

F-Statistic Equation

Answer 13

Fobt=MSbg/MSe

Question 14

Numerator

Answer 14

differences between groups

Question 15

Denominator

Answer 15

differences within groups (error)

Question 16

Overall Degrees of Freedom

Answer 16

N-1

Question 17

Between Groups Degrees of Freedom (Numerator Degrees of Freedom)

Answer 17

number of groups -1, or k-1

Question 18

Degrees of freedom error (within groups df) (Denominator degrees of freedom)

Answer 18

The overall number of participants - the number of groups N-k

Question 19

ANOVA assumptions

Answer 19

The data in a population is normally distributed, the data was randomly sampled, one person performing in your study will not affect another person’s performance in your study, the amount of variability that exists within a single group is the same as exists in the other groups being measured

Question 20

ANOVA (Analysis of Variance)

Answer 20

A statistical method for testing hypotheses about the variance between k≥2 (greater than two group means) (variance in one or more populations is unknown)

Question 21

Between-persons variation

Answer 21

Variation that cannot be explained by having different groups; variation between individual person means within a single group

Question 22

Degrees of freedom between groups

Answer 22

The degrees of freedom aligned with the variance of the numerator group means (K-1)

Question 23

F Distribution

Answer 23

A positively skewed sampling distribution of f-ratios

Question 24

Fobt (F obtained)

Answer 24

Test statistic for ANOVA

Question 25

Fobt Formula

Answer 25

Fobt-MSbg/MSe OR variance between groups/variance within groups

Question 26

degrees of freedom error

Answer 26

synonym for degrees of freedom within groups or degrees of freedom denominator

Question 27

degrees of freedom between persons (dfBP)

Answer 27

df associated with the variance of person means averaged across groups
(n-1) (usually written n sub 1, n sub 2, and so on)

Question 28

One-way between subjects ANOVA

Answer 28

A specific type of ANOVA with ONE factor and two + INDEPENDENT groups.

Question 29

Levels of the factor

Answer 29

k, or the number of different ways an independent/quasi-indep factor is observed (measuring emotionality, one level might be negative emotionality/affect and another might be positive affect)

Question 30

One-way repeated-measures ANOVA

Answer 30

Used to test hypotheses for one factor with two + levels, where the same participants are observed more than once, once at each level

Question 31

Mean square error

Answer 31

vairance related to differences within a specific group, the denominator of the test statistic

Question 32

Mean square within groups

Answer 32

The mean square error associated with the denominator

Question 33

One-way within-subjects ANOVA

Answer 33

An ANOVA conducted on a single group tested at multiple levels of the same factor

Question 34

Post Hoc Test

Answer 34

“After-the-fact” test measuring pairwise comparisions, or all the different possible pairs of group means.

Question 35

Pairwise comparisions

Answer 35

Comparing every possible pairing of groups to find where significant differences lie

Question 36

Experimenwise alpha

Answer 36

The alpha level, usually .05, for multiple tests on the same data. Put another way, the probability of committing a type I error across all tests.

Question 37

Testwise alpha

Answer 37

The alpha level for each individual post-hoc test

Question 38

Types of Conservative Post-Hoc Tests

Answer 38

Sheffe test, Bonferroni. Conservative here means, “least power, can only find large differences.”

Question 39

Liberal post hoc-tests

Answer 39

Tukey’s HSD test, SNK test, Fisher’s LSD test (Liberal here means aimed at finding smaller, more nuanced differences between groups)