Sampling
This is the entire group of interest targeted by a research study.
What is the population?
This is when a researcher administers the same measure to the sample participants on two occasions.
What is test-retest reliability?
This is how well an instrument measures what it is intended to measure.
What is validity?
This level of measurement uses a ranking system based on some characteristic.
What is ordinal measurement?
This summarizes the average deviation of values from the mean.
What is the standard deviation?
These are sampling strategies in which researchers select elements by random methods.
What is probability sampling?
This is when a researcher has the same observers independently apply the measure to see if scores are consistent across raters.
What is interrater (or inter-observer) reliability?
This is the extent to which scores on a measure are a good reflection of the "gold standard".
What is criterion validity?
This is the lowest level of measurement.
What is nominal measurement?
This is when the peak of a frequency distribution is off center.
What is a skewed distribution?
This is a sampling strategy in which the researchers select every kth case from a list.
What is systematic sampling?
This is an assessment of consistency across items in a measure.
What is internal consistency?
This is whether "on the face of it" the instrument appears to be measuring the target construct.
What is face validity?
This level of measurement has a true zero.
What is ratio level of measurement?
A correlation coefficient of 1.0 is referred to as this.
A perfect correlation.
This is the difference between population values and sample values (i.e., average age of a population versus a sample).
What is sampling error?
This is the consistency of a measure.
What is reliability?
This is the extent to which an instrument’s content adequately captures the construct.
What is content validity?
This level of measurement is used to measure IQ.
What is interval level data?
This tells you the magnitude of a relationship between two variables.
What is an effect size?
This is an estimate of how large a sample should be to test a hypothesis.
What is a power analysis?
This is a reliability coefficient of 0.80 or greater.
What is high internal consistency reliability?
This is the degree to which an instrument is measuring the construct it purports to measure (usually done through hypothesis testing).
What is construct validity?
This is considered the highest level of measurement.
What is ratio level of measurement?
This type of error happens when a researcher rejects a null hypothesis that is true.
What is a type I error?