Reliability has a long history as one of the key psychometric properties of a test. However, a given test might not measure people equally reliably. Test scores from some individuals may have considerably greater error than others. This study proposed two approaches using intraindividual variation to estimate test reliability for each person. A simulation study suggested that the parallel tests approach and the structural equation modeling approach recovered the simulated reliability coefficients. Then in an empirical study, where forty-five females were measured daily on the Positive and Negative Affect Schedule (PANAS) for 45 consecutive days, separate estimates of reliability were generated for each person. Results showed that reliability estimates of the PANAS varied substantially from person to person. The methods provided in this article apply to tests measuring changeable attributes and require repeated measures across time on each individual. This article also provides a set of parallel forms of PANAS.
[Correction Notice: An Erratum for this article was reported in Vol 24(3) of Psychological Assessment (see record 2012-04601-001). The article contained a number of errors which are corrected in the erratum.] Despite general consensus over the value of measuring self-reported offending, discrepancies exist in methods of scoring self-reported offending and the length of the reference period over which offending is assessed. This analysis compared the concurrent interassociations and longitudinal predictive strength of diversity, frequency, and severity offending scores measured over the past 6 months and diversity and severity scores measured "ever" between assessments. For violent offending, different scorings were highly correlated and equally predictive of adulthood offending. For nonviolent offending, there was significant continuity in diversity and severity-weighted diversity scores over the transition to adulthood but not in nonviolent frequency or severity-weighted frequency scores. Results support the use of offending diversity scores rather than offending frequency scores and highlight the importance of examining nonviolent and violent offending as separate constructs.
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