Type 1 Error
Ratio Data
Type 2 Error
Types of Univariate Research
Ordinal Data
Bell Shaped Curve
Interval Data
Nominal Data
Correlational Research
Dependent Variable
Independent Variable
Failing to reject the null hypothesis when, in fact, it is false. A “missed opportunity”
When you say the null hypothesis is false when it is actually true. “False Alarm!”
Equal intervals between data in a set. Examples: temperature; GRE scores; IQ scores.
number is used to label or identify. Examples: jersey number; male/female; social security number
Aims to demonstrate/measure relationships (not experimental)
1. Characterize the study sample 2. Characterize a problem or phenomenon 3. Document incidence/prevalence 4. Establish norms 5. Document developmental phenomena 6. Document case studies
number used to convey rank. Examples: winner of race; top-40; class ranks.
variable being manipulated by the experimenter
variable that changes as a result of manipulation
constant intervals with an absolute zero. Examples: height; weight; Kelvin scale.