Exploring Mentoring Practices Contributing to New Teacher Retention: An Analysis of the Beginning Teacher Longitudinal Study

How to best support new teachers through the beginning years of their careers and thus to increase new teacher retention is an important question. To explore the predictor variables for new teacher retention from the perspective of effective teacher mentoring practices, multinomial logistic regressi...

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Bibliographic Details
Main Authors: Bonita Maready, Qiang Cheng, Dennis Bunch
Format: Article
Language:English
Published: Oxford Brookes University 2021-08-01
Series:International Journal of Evidence Based Coaching and Mentoring
Subjects:
Online Access:https://radar.brookes.ac.uk/radar/items/e98bbf15-b504-4b31-8d2f-502146eb1934/1/19_2_7.pdf
Description
Summary:How to best support new teachers through the beginning years of their careers and thus to increase new teacher retention is an important question. To explore the predictor variables for new teacher retention from the perspective of effective teacher mentoring practices, multinomial logistic regression was applied in the secondary analysis of the restricted-use data of the Beginning Teacher Longitudinal Study (BTLS). The analysis identified both predictive and non-predictive mentoring practices for new teacher retention, which provides important insight for school leaders and policy-makers in regards to designing effective induction programmes to better increase new teacher retention.
ISSN:1741-8305
1741-8305