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### 6 Cards in this Set

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 Reliability Reliability of an item is the ratio of the true score to the total (true + error) score variance The greater the error the lower the reliability Internal Consistency Reliability: Split Halves Reliability * Split scale in half (randomly) such that each part of the scale has half of the items. * Compute the total score for each half based on the items. * Calculate the correlation between the two total scores. This is the split half reliability Cronbach’salpha is equivalent to the average correlation of ALL possible splits Internal Consistency Reliability: Cronbach’sAlpha Internal Consistency Reliability: Cronbach’sAlpha *The proportion of a scale’s total variance that is attributable to a common source * α = 1-error variance = 1 –ratio of unique variance to total variance * 0 <= α <=1 Cronbach’sAlpha Derivation Cronbach’sAlpha Adjusting for number of terms: alpha= k*(Sum of all covariancesijfor i≠j) -------- k-1* (Sum of all covariances i≠j)+ Sum of all variances) Reliability Guidelines * Alpha should be .70 or higher (.60 for exploratory); however many researchers insist on a stringent cut-off of .80 (Robinson et al; Clark and Watson) - Exceeding .80 is of little utility to internal consistency or content validity  * Inter-item correlations of - .30 or better (Robinson et al) - .15-.50 in general and .40-.50 for narrowly defined constructs * Number of items for narrowly defined constructs (i.e. 4-7 items) Composite Reliability Theta-Delta Should be > .70 (Hair et al)