Measuring Variables
Definition (#f7aeae)
Important (#edcae9)
Extra (#fffe9d)
Measuring behavior:
Behaviour can be measured in many ways, a common measurement is to ask people how they feel.
Validity:
Refers to truth or accuracy and is supported by available evidence.
Construct Validity: Whether the measure that is used actually measures the construct it is intended to measure.
The validity of a psychological tool is determined by whether it measure this construct.
Indicators of Construct Validity:
Face Validity: Involves only judgment of whether the content of the measure appears to actually measure the variable.
Content Validity: Comparing the content of the measure with content that defines the construct.
Concurrent Validity: To examines the relationship between the measure and a criterion behaviour at the same time.
Convergent Validity: Examines the extent to which scores on the measure are related to scores on other measures of the same/similar construct.
Discriminant Validity: Opposing constructs should have an opposite relationship, discriminate between construct being measured and unrelated constructs.
Others:
Internal validity:
Ability to draw conclusions about the causal relationship from the results of a study.
A study has high internal validity when strong inferences can be made that one variable caused changes in the other variable .
Analysis of 3 elements:
Temporal Precedence: IV before DV.
Covariation: Both groups sharing condition; DV systematically changes as IV changes.
Eliminate plausible alternatives: The difference is attributable to the IV.
External Validity:
Extent to which the results can be generalized to other broader contexts.
2 types:
Population validity: How well the results generalize to the wider population.
Ecological validity: How well the results generalize to real life settings.
Reliability:
The consistency or stability of a measure of behaviour.
True score: A true value on a real scale.
Measurement error: Difference between a true score and a measured score is measurement error.
A reliable measure of intelligence will yield similar results each time the individual is measured.
Measuring Reliability:
Pearson-Product Moment Correlation Coefficient: This Correlation Coefficient (r) can range from 0.00 to (+/-) 1.00.
Correlation of 0.00 tells us that the 2 variables are not related at all; lower reliability. The closer a correlation is to 1.00, the stronger is the relationship; higher reliability.