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Flashcards in types of tests Deck (22)
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1

Parametric testing

when data is normally distributed.

2

non-parametric testing

when data is not normally distributed.

3

Nominal scale

simplest. lowest level of measure. classification.
(male/female... blood types... etc.)

4

Ordinal Scales

rank ordering. intervales may not be constant.
(what is pain on scale 1-5... course evals...MMT...etc.)

5

interval scales

relative comparison
rank order of ordinal scale with equal distances between values.
(i.e., Temp in C or F)

6

Ratio scales

absolute comparison. interval scale with an absolute zero. Permits all statistical analysis. no negative values.
(i.e., ROM, height, weight, force.. etc.)

7

unpaired t-test

a parametric test. comparing 2 independent groups.

8

paired t-test

a parametric test. comparing 2 related scores

9

One way ANOVA (F test)

a parametric test. comparing 3 or more independent groups.

finding a difference.

10

One-way repeated ANOVA (F test)

a parametric test. comparing 3 or more related scores.

11

Mann-Whitney U test

a non-parametric (unpaired t-test equivalence) test. comparing 2 independent groups.

12

Sign test.
Wilcoxon signed-ranks test (T)

a non-parametric (paired t-test equivalence) test. comparing 2 related scores.

13

Kruskal-Wallis analysis of variance by ranks (H or X^2)

a non-parametric (one-way ANOVA equal) test. comparing 3 or more independent groups.

14

Friedman two-way analysis of variance by ranks (X^2 r)

a non-parametric (1-way repeated ANOVA equal) test. comparing 3 or more related scores.

15

2-way ANOVA

has 2 Independent variables.

16

Multivariate ANOVA (MANOVA)

has multiple independent variables and multiple dependent variables.

17

Post-hoc tests

A study that has already determined there is a significant difference between groups and now wants to determine which groups are different.

18

Pearson Product-Moment

is for interval or ratio scale correlation stats.

finding a relationship. Is x related to y.

19

Spearman Rank

RANK in name.. rank is ordinal!
for ordinal scale correlation stats. Example pain scales or MMT

Finding a relationship. is x related to y.

20

Chi square

finds association. If blank is associated with blank.

21

Goodness of fit (chi square)

examines if observed freq is different from expected.

if stat > crit then reject null

22

Test of independence (chi square)

examines association (or lack of) between 2 categorical variables (ordinal or nominal).

df= (R-1)(C-1)
*rows and columns