Predicting organizational actual turnover rates in the U.S. federal government
By: CHAN SU, Jung
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ArticlePublisher: Philadelphia : Routledge, September 2010International Public Management Journal 13, 3, p. 297-317Abstract: This study expands the level of analysis on turnover in public administration, especially in the U.S. federal government, from the individual level to the organizational level by using organizational actual turnover rates. Some scholars argue that public employees' turnover intention generally reflects actual turnover. However, very little empirical evidence supporting this argument has been provided in public administration, especially in a broad array of public agencies. This study has rejected this argument by showing insignificant or weakly significant correlations between organizational actual turnover and weighted turnover intention rates. In addition, overall, the two regression results for organizational actual turnover and turnover intention also show different results from those in the existing literature on individual-level turnover intention. The significant predictors of organizational actual turnover rates are goal ambiguity, pay satisfaction, and diversity policy satisfaction. The correlation and regression results imply that research on predictors of turnover may need to consider the differences that may result from using different units of analysis and to make a distinction between turnover intention and actual turnover
This study expands the level of analysis on turnover in public administration, especially in the U.S. federal government, from the individual level to the organizational level by using organizational actual turnover rates. Some scholars argue that public employees' turnover intention generally reflects actual turnover. However, very little empirical evidence supporting this argument has been provided in public administration, especially in a broad array of public agencies. This study has rejected this argument by showing insignificant or weakly significant correlations between organizational actual turnover and weighted turnover intention rates. In addition, overall, the two regression results for organizational actual turnover and turnover intention also show different results from those in the existing literature on individual-level turnover intention. The significant predictors of organizational actual turnover rates are goal ambiguity, pay satisfaction, and diversity policy satisfaction. The correlation and regression results imply that research on predictors of turnover may need to consider the differences that may result from using different units of analysis and to make a distinction between turnover intention and actual turnover
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