Search

Search Results

• 1. [Article] Apprenticeship Needs Assessment in Heavy Highway Construction Workforce

  To gain an understanding of the reasons that women and men of color are not retained in apprenticeships relevant to the heavy highway trades at the same rate as are white men. Particular attention shall ...

  Citation × Citation Citation Abstract Copy Title: Apprenticeship Needs Assessment in Heavy Highway Construction Workforce Author: Kelly, Maura, Wilkinson, Lindsey Year: 2012 To gain an understanding of the reasons that women and men of color are not retained in apprenticeships relevant to the heavy highway trades at the same rate as are white men. Particular attention shall be focused on the reasons that apprentices refuse job assignments/dispatches, leave assignments before the contractor’s job is finished, and retention in the third period of apprenticeships. Differences in motivations, the nature of obstacles faced and the type and effectiveness of particular supports to affect retention rates shall be considered, with attention to the potentially different experience of people in different trades and regions, as well as to key demographic variables such as gender, race, ethnicity, age, and family status. Title: Apprenticeship Needs Assessment in Heavy Highway Construction Workforce Author: Kelly, Maura, Wilkinson, Lindsey Year: 2012 To gain an understanding of the reasons that women and men of color are not retained in apprenticeships relevant to the heavy highway trades at the same rate as are white men. Particular attention shall be focused on the reasons that apprentices refuse job assignments/dispatches, leave assignments before the contractor’s job is finished, and retention in the third period of apprenticeships. Differences in motivations, the nature of obstacles faced and the type and effectiveness of particular supports to affect retention rates shall be considered, with attention to the potentially different experience of people in different trades and regions, as well as to key demographic variables such as gender, race, ethnicity, age, and family status. Close