Regression Analysis: Working Conditions Predicts Teacher Retention

The survey instrument created for this study includes relational questions to discover whether one or more working conditions predicts teacher retention and whether the absence of one or more working conditions predicts the likelihood a teacher will leave teaching or migrate to a new building. The survey contains both Likert-type scaled response ratings and demographic questions designed to identify teacher characteristics such as grade level. There are four constructs in this study: academics, school climate, shared leadership, and induction programs. Because these four constructs have not been directly measured, they are referred to as unobserved variables (Urdan, 2010). Each construct contains several working conditions, which are the independent …show more content…
To answer the first research question, multiple linear regression will be used to uncover teachers’ perceptions of the working conditions within their schools. This analysis will show the strength between the independent variables and teachers’ plans to remain in or exit their schools. To answer the second research question, the data will be tested using the multiple linear regression to depict the level of significance of the relationship between each independent variable and teacher retention decisions. This will allow me to uncover which working conditions have more or less impact on teacher retention plans. Multiple linear regression is used when both the independent and dependent variables are continuous. The independent variables are measured with using a Likert Scale Score, making them continuous. The dependent variable, teacher retention plans, is continuous because the eight response options in the questionnare may be ranked from highest to lowest, from the best outcome, plan to stay, to least desirable outcome, plan to leave as soon as