2021
DOI: 10.1007/s10940-021-09516-7
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Non-random Study Attrition: Assessing Correction Techniques and the Magnitude of Bias in a Longitudinal Study of Reentry from Prison

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Cited by 29 publications
(7 citation statements)
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“…Listwise deletion was used to manage missing data, as more advanced forms of missing data management were incompatible with GSEM in Stata. Recent research has indicated, however, that listwise deletion may yield more accurate estimates in the presence of data missing not at random compared to techniques like multiple imputation among criminal justice populations (Mitchell et al., 2022).…”
Section: Methodsmentioning
confidence: 99%
“…Listwise deletion was used to manage missing data, as more advanced forms of missing data management were incompatible with GSEM in Stata. Recent research has indicated, however, that listwise deletion may yield more accurate estimates in the presence of data missing not at random compared to techniques like multiple imputation among criminal justice populations (Mitchell et al., 2022).…”
Section: Methodsmentioning
confidence: 99%
“…This 7% missingness was observed fairly evenly across all measures included in analyses, indicating that there was not one specific measure that had significantly more missing data than others. Further, some research has indicated that listwise deletion may actually provide the most accurate estimation of a full dataset for criminal justice populations (Mitchell et al, 2021). Coefficients are described in the form of odds ratios (ORs), indicating the impact that a one-unit increase in an independent variable of interest had on the odds of being in a higher category on the ordinal scale for each substance use outcome.…”
Section: Methodsmentioning
confidence: 99%
“…This limited concern was focused on concepts pertaining to BPD and substance use variables being correlated with risk for missingness. Further, some recent research has indicated that listwise deletion provides the most accurate approximation of effects when missing data due to differential attrition is present among criminal justice populations when compared to methods like multiple imputation (Mitchell et al, 2021). Because this was a sample of young adults previously involved with the justice system, listwise deletion then presented the best and most parsimonious option here.…”
Section: Methodsmentioning
confidence: 99%