Data collection and measurement

Level of measurement with rank-ordered categories:

Probability that statistic will detect a significant difference:

Concrete variables (pulse, BP, i.e.) involve these types of measures:

Level of measurement with equal intervals and an absolute zero point:

Lowest level of measurement with mutually exclusive categories but not rank-ordered:

Scale that uses lines for subject to mark placement of their score:

Probability theory holds that an event is likely to occur in a given situation and can be predicted.

Type I error occurs when researcher rejects null hypothesis that is true:

Degree to which a phenomenon is present in a population:

Findings from a study that can be applied to the target population:

Level of significance set at the start of a study:

Level of measurement with equal intervals but no absolute zero:

Measurement of abstract ideas (anxiety, stress, i.e.):

Multi-item scale with ratings from 1-5:

A type II error occurs when the researcher accepts the null hypothesis when it is false.

Statistics that allow study hypotheses to be infered from the sample to target population: