Master this deck with 32 terms through effective study methods.
No description available
Indicates the relationship between two variables.
Validity measures accuracy, while reliability measures precision.
Involves manipulation of an independent variable.
Refers to the extent a study accurately establishes cause and effect.
It produces consistent results that do not accurately reflect the intended construct.
The extent to which findings can be generalized to other settings.
Assesses whether a test truly measures the theoretical construct.
Judges whether a measure appears effective at first glance.
The degree to which findings can be applied to real-world settings.
Includes an independent variable but lacks full control by the researcher.
It assesses the accuracy of causal conclusions about variables.
Unmeasured variables that can affect the variable of interest.
They can account for confounds if measured.
It evaluates how generalizable findings are to the population.
A sample that is Western, Educated, Industrialized, Rich, and Democratic.
It checks if a measurement accurately reflects the theoretical construct.
It assesses if a measure appears to do what it is intended to do.
It indicates how consistent and repeatable a measurement is.
It checks if repeated measurements yield the same results.
It assesses if different raters produce similar results.
It evaluates if different but equivalent measures yield similar results.
It checks if different parts of a measurement yield similar results.
A deficit in emotion processing characterized by difficulty identifying and describing emotions.
Using self-report scales like the Toronto Alexithymia Scale.
The strength and direction of the relationship between two variables.
A normalized measure of covariance between two variables.
No relationship between the two variables.
It indicates how likely the observed correlation is due to chance.
Correlation does not imply that one variable causes changes in another.
Correlations that occur due to a third variable influencing both variables.
The assumption that variances in two variables are similar.
It helps to visually assess relationships and check for outliers.