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Flashcards in Statistics Deck (20)
1

Power analysis

calculation to determine the minimum sample size needed to reasonably detect a given effect

2

Definition of null hypothesis

null hypothesis means there is no difference

3

Power before and after results

before= sample size (a priori)
after= effect size (post hoc)

4

Confidence interval

margin of error
a range in which response is likely to be accurate

5

Confidence level

how confident you are that something will happen
Confidence level that results can be reproduced

6

Absolute risk reduction

risk in control minus the risk in a treatment group

7

Relative risk reduction

percentage of risk removed by treatment
ARR/risk group= % RRR

8

Reliability

concept that results can be repeated

9

Validity

results indicate what researcher thinks they indicate

10

Internal validity

(Design of study) great results are invalidated by poor design

11

External validity

assessment of the inferences or causal relationships
design and process are good but the inference is not supported
Can

12

Quantitative relationships

Causal- smoking causes cancer
Correlational- smoking and HPV

13

Qualitative

Exploratory
ethnography- lived experience
grounded theory- theory presents after study

14

Prospective

explore going forward
Data are collected and evaluated

15

Retrospective

existing data is analyzed

16

Independent variable

thing you manipulate

17

Dependent variable

outcome
thing you're looking for

18

P value

calculated to assess whether trail results are due to chance

19

Type II error

Conclude there is no effect when there really is

20

Type 1 error

Conclude there is an effect when there really is NOT