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Flashcards in Test 2 Deck (22):
1

What letter stands fo statistical significance calculation of the probability that the association would occur randomly in the problem

P

2

What is a curvilinear association

Two variables- not a straight line
Positive (or neg) to a point then becomes opposite

3

What is a predictor variable

Independent variable

4

What are Forced-choice questions

People give their answer by picking between the best of two or more options

5

What is multistage sampling

One large group is randomly selected then within the group the sampling group is randomly chosen

6

What is Cross-lag correlation

Test to show if earlier measures of one variable are associated with later measures of another variable

7

Observer bias is what?

When observers see what they expected to see

8

What is observer effects?

Observers inadvertently change the behavior of those they are studying

9

Cluster sampling

One group is randomly samples and everyone in the group is used

10

How to reduce reactivity

Blend in, wait it out, measure behavior results rather than the behavior

11

Outlier

Extreme score that stands out

12

Parsimony

Theory provides the simplest explanation of a phenomenon

13

In regression analysis what are the variables

At least two predictors
ONE criterion

14

Mediator variable

Additional variable that explains the WHY

15

What is B (beta)

Indicated the statistical test for associations between two variables controlling for ALL other identified variables

16

Effect size

Strength of the relationship between two or more variables

17

Longitudinal research.

Study conducted over multiple time points

18

Moderator

Explains for WHOM or WHEN two variables are strongly related

19

Other terms for random sampling

Probability
Representative
Unbiased

20

What letter stands for the statistical test for correlation strength and direction in bivariate associations

R

21

Temporal precedence

Longitudinal study to better establish the criteria for causality

22

Three criteria for causality

Covariance
Temporal precedence
Internal validity