Reliability

Question 1

Reliability

Answer 1

the consistency of a research study or measuring test, the precision of data. Necessary for validity.

Question 2

Random error

Answer 2

Because it is random, it “cancels out” with repeated measure. Example - weight on different trials

Question 3

Intrinsic noise

Answer 3

drink a half gallon of water between two measurements, you may weigh more the 2nd time.

Question 4

Measurement error

Answer 4

the degree to which the recorded measure for a participant on some variable differs from the true value of the variable for that participant. Example - reading the tick marks on the scale wrong.

Question 5

Systematic error

Answer 5

consistent error, this is a problem. Example - weight on different scales.

Question 6

inter-rater reliability

Answer 6

the degree to which different raters give consistent estimates

Question 7

test-retest reliability

Answer 7

the consistency in results every time a measure is used. Same measurement, different times

Question 8

Split-half reliability

Answer 8

During a test that has different items that assess the same construct, randomly split the test into two halves, correlate the scores against one another. If the results are positively correlated then the test is reliable.