Statistics

Question 1

TN/(TN + FP) (TN/total without the condition) ==> % of people WITHOUT the condition who TEST NEGATIVE
Ability of a test to obtain a NEGATIVE result when the condition is TRULY NEGATIVE

Answer 1

SPECIFICITY

Question 2

SPIN

Answer 2

Use a SPECIFIC test to RULE IN a hypothesis

Question 3

Which kinds of tests have few FPs?

Answer 3

SPECIFIC

Question 4

Why would a specific test be used to RULE IN a hypothesis?

Answer 4

If the result is positive, it is likely that it is a TP - specific tests rule out FPs because the test has the ability to obtain a NEGATIVE result when it is a TN

Question 5

TP/(TP + FN) (TP/total who test positive) ==> % of people WITH THE CONDITION who TEST POSITIVE
Ability of a test to obtain a POSITIVE result when the condition is TRULY POSITIVE

Answer 5

SENSITIVITY

Question 6

SNOUT

Answer 6

Use a sensitive test to RULE out a hypothesis

Question 7

Which kinds of tests have few FNs?

Answer 7

SENSITIVE

Question 8

Why would a sensitive test be used to RULE OUT a hypothesis?

Answer 8

Sensitive tests have few FNs, so if a NEGATIVE result it obtained, it is likely that it is a TN - can rule out FNs

Question 9

Which kinds of tests test for POSITIVE results (RULING IN)?

Answer 9

SENSITIVE

Question 10

Which kinds of tests test for NEGATIVE results (RULING OUT)?

Answer 10

SPECIFIC

Question 11

2+ researchers doing the same test

Answer 11

INTERrater reliability

Question 12

The same research doing the same test over at least 2 trials

Answer 12

INTRArater reliability

Question 13

Minimum amount of change that reflects true change by the patient between two time points - improvements are not due to change - significance level for true change

Answer 13

Minimal detectable change (MDC)

Question 14

Patient-derived score that reflects changes in a clinical intervention that are meaningful to the patient, improving patient participation in the benefit of care received

Answer 14

Minimal clinically important difference (MCID)