Research and Program Evaluation Flashcards
True variance/coefficient of determination
Obtained by squaring the correlation
(number between 0 and 1 that measures how well a statistical model predicts an outcome.)
Construct Validity
When a test successfully measures a hypothetical construct.
What is most likely to threaten internal and external validity?
Selection of subjects
Ordinal scale data
Involves rankings or order of people/objects based on a particular attribute
ex: a horse categorized as a second-place winner in a race
Interval scale data
Calculated with the assumption that each number represents a point that is an equal distance from the point adjacent to it but NO zero point
can add and subtract but cannot multiply or divide
Ratio scale data
Have an absolute zero. (ex. weight)
Scatter plot
Depicts pairs of scores
Easy to see patterns (but broad generalization)
Instantly see positive or negative relationship between the data and if relationship is strong or weak
Purposeful sampling
NOT used to generalize the findings to the population (not random)
t-score
Mean of 50 and standard deviation of 10
Convergent validity
Convergent validity occurs when the construct being studied correlates highly with other constructs.
Content validity
The extent to which a measure represents all facts of a given social concept.
(ex. the condition of a sample from a larger population being a true representation of that larger population)
Ex Post Facto Study
Investigates possible relationships among variables after the fact.
Focus is on what has already occurred.
Also called casual comparative research.
Single blind vs double blind experiment
Single blind = subjects do not know whether they are in the placebo or experimental group
Double blind= neither the participants nor the experimenter know which subjects are in the experimental and placebo groups
internal validity
vs
external validity
internal= whether dependent variables were truly influenced by the experimental independent variables OR if other factors had an impact
external= whether the experimental research results can be generalized to larger populations
parsimony
interpreting the results in the simplest way