190 likes | 1.33k Views
Measurement: Reliability and Validity. For a measure to be useful, it must be both reliable and valid Reliable = consistent in producing the same results every time the measure is used Valid = measuring what it is supposed to measure. Reliability.
E N D
Measurement: Reliability and Validity • For a measure to be useful, it must be both reliable and valid • Reliable = consistent in producing the same results every time the measure is used • Valid = measuring what it is supposed to measure
Reliability Observed Score = true score + systematic error + random error • Observed Scores are the data gathered by the researcher • True Scores are the actual unknown values that correspond to the construct of interest • Systematic Error is variations that results from constructs of disinterest • Random Error is nonsystematic variations in the observed scores
Sources of Variability • Construct of interest • corresponds to the IV • “effect” • Constructs of disinterest • “systematic error” • Non-systematic variation • “random error” • “error variance”
Systematic Error True Score Random Error Observed Score = More Reliable: Less Reliable:
How many o’s? Test 1 Xxxxxoxxxxxxxxxxoxxxxxxxxxxxxxoxxxxxxxxxxoxxxxxxxaxxxxxxxxxxuxxxxoxxxqxxxxxxxc Test 2 Xxxxxoxxxxxxxxxxoxxxxxxxxxxxxxoxxxxxxxxxxoxxxxxxxaxxxxxxxxxxuxxxxoxxxqxxxxxxxc
How many o’s? Test 1 Xxxxxoxxxxxxxxxxoxxxxxxxxxxxxxoxxxxxxxxxxoxxxxxxxaxxxxxxxxxxuxxxxoxxxqxxxxxxxc Test 2 Xxxxxoxxxxxxxxxxoxxxxxxxxxxxxxoxxxxxxxxxxoxxxxxxxaxxxxxxxxxxuxxxxoxxxqxxxxxxxc
How do we determine whether a measure is reliable? Types of reliability • Test-retest • Internal Consistency • Split-half • Cronbach’s alpha: average of all possible split-half reliabilities
Factors that increase reliability • Number of items • High variation among individuals being tested • Clear instructions • Optimal testing situation
How do we determine whether our measures are valid? Types of Validity • Face • Content • Criterion • Concurrent • Predictive • Construct • Convergent • Discriminant
Threats to reliability and validity Score = effect + systematic + random error • Systematic error: threat to validity • Random error: threat to reliability