Chapter 3.2 Validity and Reliability Flashcards
Researchers have developed two general criteria for evaluating the quaility of any measurement procedure
validity and reliability
Validity of a measurement
to establish validity, you must demonstrate that the measurement procedure is actually measuring what it claims to be measured.
Face validity
Its the simplest and least scientific definiton of validity. It concerns the superficial appearance, or face value, of a measurement procedure
Concurrent Validity
It is demonstrated when scores obtained from a new measure are directly releted to scores of established measure of the same variable. It establishes consistency between two procedures for measuring the same thing.
Predictive Validity
When the measurements of a construct accurately predict behavior according to theory, the measurement procedure has predictive validity
Construct Validity
If we can demonstrate that measurements of a variable behave in exactly the same way as the variable itself then a measurement procedure has construct validity. It is an ideal state. There is no possibility for a measurement procedure can be established construct validity absolutely because new research results reported everyday.
Convergent Validity
It involves creating two different methods of measuring the same construct and then showing that two methods produce strongly related scores. The goal is the demonstrate that different measurement procedures converge- or join on the same construct.
Divergent Validity
It involves demonstrating that we are measuring one specific construct and not combining two different constructs in the same measurement process. The goal is the differentiate between two conceptually distinct constructs by measuring both constructs and then showing that there are little or no relationship between the two measurements
Reliability of Measurement
A measurement procedure is reliable if the results of the measurements are identical or near identical when we measure repeatedly to the same individual under the same conditions. Inconsistency in a measurement comes from an error. Error can come from a variety of sources: Observer error, Environmental changes, participant changes etc
Test-retest reliability
The reliability obtained by comparing the scores of two successive measurements over a time. Or researher may use modified version of the measurement instrument to obtain two different measurements for the same group it is called parallel forms reliability. Computing a correlation to measure the consistency of the relationship between two sets of scores.
Inter-rater reliability
When measurements are obtained by direct observation of behaviors, it is common to use two or more separate observers who records measurements. The degree of agreement is called inter-rater reliability
Split-half reliability
To measure degree of consistency, researchers commonly split the set of items in half and a compute a separate score for each half. The degree of agreement between two scores evaluated with a correlation.
A measure cannot be valid unless its reliable
but a measure can be reliable without being valid.
The accuracy of a measurement is the degree to
which the measurement conforms to be established standard.
Measurement process can be valid and reliable even if it is not
accurate.