Effect of leadership development program on organizational performance Dissertation

Effect of leadership development program on organizational performance - Dissertation Example statistical null hypotheses 15 Testing the null hypothesis 15 P-values 16 Significance levels 17 One-tailed vs. two-tailed probabilities 17 Reporting your results 18 Confidence interval 20 p=0.891 represents the probability of occurring the event. ... nsistency refers to inter-item reliability, and assesses the degree of consistency among the items in a scale, or the different observations used to derive a score Want to be sure that all the items (or observations) are measuring the same construct Estimates of Internal Consistency Item-total score consistency Split-half reliability: randomly divide items into 2 subsets and examine the consistency in total scores across the 2 subsets (any drawbacks?) Cronbach’s Alpha: conceptually, it is the average consistency across all possible split-half reliabilities Cronbach’s Alpha can be directly computed from data Estimating the Validity of a Measure A good measure must not only be reliable, but also valid A valid measure measures what it is intended to measure Validity is not a property of a measure, but an indication of the extent to which an assessment measures a particular construct in a particular context—thus a measure may be valid for one purpose but not another A measure cannot be valid unless it is reliable, but a reliable measure may not be valid Estimating Validity Like reliability, validity is not absolute Validity is the degree to which variability (individual differences) in participant’s scores on a particular measure, reflect individual differences in the characteristic or construct we want to measure Three types of measurement validity: Face Validity Construct Validity Criterion Validity Face Validity Face validity refers to the extent to which a measure ‘appears’ to measure what it is supposed to measure Not statistical—involves the judgment of the researcher (and the participants) A measure has face validity—’if people think it does’ Just because a measure has face validity does not ensure that it is a valid measure (and measures lacking