Understanding the relationship between Colorado K-12 teachers’ perception of school factors with their intent to stay

This study examines the relationship between Colorado teachers’ perceptions of school-based factors and their intent to remain in their current roles. Using data from the 2022 Teaching and Learning Conditions in Colorado (TLCC) survey, I explored how teacher satisfaction staff leadership, student conduct, instructional practices and support, professional development, time, and facilities and resources predict teacher intent to stay. This study uses descriptive statistics, proportions testing, and OLS regression models. Results indicate that dissatisfaction with staff leadership is the strongest predictor of a teacher’s intent to leave, although all six school factors were statistically significant across Colorado. Additionally, differences did emerge between rural and non-rural school teachers, as well as elementary vs secondary school teachers, in both teachers’ perceptions and their intent to stay.

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Publication Details

Journal
ThinkTech (Texas Tech University)
Published
2025-12-01
Primary Topic
Teacher Education and Leadership Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Understanding the relationship between Colorado K-12 teachers’ perception of school factors with their intent to stay

Jennifer Nichols
ThinkTech (Texas Tech University)
Teacher Education and Leadership Studies
article

Understanding the relationship between Colorado K-12 teachers’ perception of school factors with their intent to stay

Jennifer Nichols
article en

Abstract

This study examines the relationship between Colorado teachers’ perceptions of school-based factors and their intent to remain in their current roles. Using data from the 2022 Teaching and Learning Conditions in Colorado (TLCC) survey, I explored how teacher satisfaction staff leadership, student conduct, instructional practices and support, professional development, time, and facilities and resources predict teacher intent to stay. This study uses descriptive statistics, proportions testing, and OLS regression models. Results indicate that dissatisfaction with staff leadership is the strongest predictor of a teacher’s intent to leave, although all six school factors were statistically significant across Colorado. Additionally, differences did emerge between rural and non-rural school teachers, as well as elementary vs secondary school teachers, in both teachers’ perceptions and their intent to stay.

ThinkTech (Texas Tech University)
Colorado Department of Education
Quality Education
Openalex Percentile: Top 7%
Teacher Education and Leadership Studies
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