Statistics Chapter 10, 11, & 12*

Accuracy

How close a given set of measurements is to the true value

Precision

How close the measurements are to each other.

Normal distribution*

Validity types*

• Face validity

• Construct validity

• Criterion validity

• Discriminant validity

Face validity*

Construct validity*

Reliability types*

Test-related

Intra-observer

Inter-observer

You want to have all types in your test

Criterion validity*

Discriminant validity*

Test-related reliability

Intra-observer reliability

Same observer scores the same event twice. Do they agree w/ themselves?

Inter-observer reliability

Two observers score the same event. Do they agree with each other?

Expectation bias*

Data types:*

• Nominal

Tidy data

A dataset is tidy if:

1. Each variable is in its own column

2. Each observation is in its own row