The Impact of the Work Environment on Job Burnout

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This resource is part of our Research Notes series. 


A recent report by the Center for the Study of Child Care Employment, Worthy Work, STILL Unlivable Wages,¹ highlights the relationship between poverty-level wages and high turnover among early childhood teachers. High turnover in early childhood programs disrupts center operations, alters the workplace environment, and affects the quality of teaching. But low wages are not the only influence on teachers’ decisions to leave their programs or the field. Teacher burnout is also a contributing factor to the high turnover rate in the early childhood field.


Burnout was the focus of a recent study of 108 early childhood teachers conducted by Konstantina Rentzou in Greece. The purpose of the research was to determine the extent to which teachers experience burnout and the degree to which the work environment contributes to the dimensions of burnout—emotional exhaustion, depersonalization, and a reduced sense of personal accomplishment.²


Emotional exhaustion occurs when teachers feel worn out or depleted with little expectation that their emotional tanks can be replenished. Teachers may feel depersonalized if the social environment of their workplace is negative, cynical, or dehumanized. When teachers feel they are not effective in their work with children and families or dissatisfied with their job performance, the reduced sense of personal accomplishment can also result in burnout.


Early childhood teachers are especially vulnerable to burnout because they may work long hours, isolated in classrooms with little other adult interaction, or may not receive feedback and support from their supervisors.


SAMPLE AND METHODS


The sample was comprised of 46 kindergarten teachers and 62 child care workers. Eighty-nine percent of participants reported receiving formal training with a specialization in early childhood education.


The Maslach Burnout Inventory—Educators Survey (MBI-ES)3 was used to assess three dimensions of burnout—emotional exhaustion, depersonalization, and a reduced sense of personal accomplishment. Reliability of the instrument was examined with these data yielding 0.81 Cronbach alpha value.


Twenty-one indicators from the Parents and Staff subscale of the Environment Rating Scale Self-Assessment Readiness Checklist (ERS-SRC)4 were used to measure the work environment. These indicators related to the physical and social nature of the early childhood work setting. Each indicator was rated on a 3-point scale from not met to fully met. The Cronbach alpha reliability coefficient for this scale was 0.86 for these data.


The researchers conducted a number of analyses including crosstabs, multiple hierarchical regression, ANOVA, t-tests, and stepwise correlations. Bivariate correlation analysis was used to examine whether the mean score assigned to the work environment indicators predicted the mean scores for each of the MBI-ES subscales.


RESULTS



While the overall scores from the work environment ratings did not predict burnout, items from bivariate correlation analysis between the work environment and each of the MBI-ES subscales yielded some significant correlations. Of the three dimensions of burnout, emotional exhaustion was the most highly associated with the work environment.


Significant negative associations were found for three indicators of the work environment related to emotional exhaustion: interactions among staff not interfering with caregiving, positive staff interactions, and equitable sharing of staff duties. Depersonalization was also negatively correlated with positive staff interactions. Personal accomplishment was positively associated when teachers reported that accommodations were made for staff members with disabilities and a thorough orientation for new staff occurred in their programs. Table 1 shows the strength of the correlations related to the three dimensions of burnout.

Association of Work Environment Indicators and Dimensions of Burnout

IMPLICATIONS FOR POLICY, PRACTICE, AND RESEARCH


Emotional exhaustion takes its toll when teachers experience prolonged work-related stress with no anticipation of relief. If negative workplace conditions exist, it is not surprising that burnout can occur. When teachers experience warm, friendly, supportive, and trusting collegial relationships, they are more able to focus on the needs of the children. The findings of this study suggest that when teachers’ interactions with one another do not interfere with their caregiving responsibilities, they may be less likely to experience emotional exhaustion.


Results of this study also suggest that inequitable sharing of staff duties is another dimension of the work environment associated with emotional exhaustion. Early childhood program administrators need to understand the importance of fairness and equity when assigning work responsibilities. When teachers feel that they are required to do more than others, they are more likely to feel depleted and overworked.


In contrast, when the overall workplace climate is positive and teachers feel connected and supported, they may be less likely to experience burnout. This is suggested in the findings that measured both emotional exhaustion and depersonalization. While many factors—both in and apart from the workplace—can lead to burnout, the moderate association of positive climate and support indicate that they may help to decrease its incidence.


Finally, there is a relationship between staff members’ sense of personal accomplishment and certain factors related to program management. Organizational policies and processes such as making accommodations for staff with disabilities or consistently implementing a thorough orientation process may influence if teachers experience burnout.


This study adds to our understanding that the dimensions of workplace climate are linked to the emotional wellbeing of staff. Goal consensus and clarity about procedures and responsibilities foster organizational norms where staff are careful that their interpersonal interactions do not interfere with their caregiving responsibilities. Program directors can also make adaptations to the physical layout and staffing schedules to promote collegiality, fostering positive staff interactions that are warm and supportive. Leaders who focus on the dimensions of organizational climate like task orientation and reward systems are concerned with equity and fairness in designing systems that lead to efficiency and program effectiveness.5


More rigorous research is needed to fully understand the causal effects of the early childhood work environment on staff burnout and occupational stress. Skillful program management and effective leadership are needed to create places where early childhood staff are supported, burnout is minimized, and turnover is reduced.


REFERENCES


  1. Whitebook, M., Phillips, D., & Howes, C. (2014). Worthy work, STILL unlivable wages: The childhood workforce 25 years after the National Child Care Staffing Study. Berkeley, CA: The Center for the Study of Child Care Employment.
  2. Rentzou, K. (2012). Examination of work environment factors relating to burnout syndrome of early childhood educators in Greece. Child Care in Practice, 18(2), 163–181.
  3. Kokkinos, C.M. (2002). Malsach Burnout Inventory for Educators. In A. Stalikas, S. Triliva, & P. Roussi (Eds.), Psychometric Instruments in Greece (pp. 224–225). Athens: Ellinika Grammata.
  4. Center for Early Childhood Professional Development. (2003). Environment Rating Scale Self-Assessment Readiness Checklist. Retrieved from http://www.partnershipforchildren.org/pdfs/jts-ers-readicheckchildcarectr.pdf
  5. Bloom, P. J., Hentchel, A., & Bella, J. (2010). A great place to work: Creating a healthy organizational climate. Lake Forest, IL: New Horizons.
By McCormick Center May 13, 2025
Leaders, policymakers, and systems developers seek to improve early childhood programs through data-driven decision-making. Data can be useful for informing continuous quality improvement efforts at the classroom and program level and for creating support for workforce development at the system level. Early childhood program leaders use assessments to help them understand their programs’ strengths and to draw attention to where supports are needed.  Assessment data is particularly useful in understanding the complexity of organizational climate and the organizational conditions that lead to successful outcomes for children and families. Several tools are available for program leaders to assess organizational structures, processes, and workplace conditions, including: Preschool Program Quality Assessment (PQA) 1 Program Administration Scale (PAS) 2 Child Care Worker Job Stress Inventory (ECWJSI) 3 Early Childhood Job Satisfaction Survey (ECJSS) 4 Early Childhood Work Environment Survey (ECWES) 5 Supportive Environmental Quality Underlying Adult Learning (SEQUAL) 6 The Early Education Essentials is a recently developed tool to examine program conditions that affect early childhood education instructional and emotional quality. It is patterned after the Five Essentials Framework, 7 which is widely used to measure instructional supports in K-12 schools. The Early Education Essentials measures six dimensions of quality in early childhood programs: Effective instructional leaders Collaborative teachers Supportive environment Ambitious instruction Involved families Parent voice A recently published validation study for the Early Education Essentials 8 demonstrates that it is a valid and reliable instrument that can be used to assess early childhood programs to improve teaching and learning outcomes. METHODOLOGY For this validation study, two sets of surveys were administered in one Midwestern city; one for teachers/staff in early childhood settings and one for parents/guardians of preschool-aged children. A stratified random sampling method was used to select sites with an oversampling for the percentage of children who spoke Spanish. The teacher surveys included 164 items within 26 scales and were made available online for a three-month period in the public schools. In community-based sites, data collectors administered the surveys to staff. Data collectors also administered the parent surveys in all sites. The parent survey was shorter, with 54 items within nine scales. Rasch analyses was used to combine items into scales. In addition to the surveys, administrative data were analyzed regarding school attendance. Classroom observational assessments were performed to measure teacher-child interactions. The Classroom Assessment Scoring System TM (CLASS) 9 was used to assess the interactions. Early Education Essentials surveys were analyzed from 81 early childhood program sites (41 school-based programs and 40 community-based programs), serving 3- and 4-year old children. Only publicly funded programs (e.g., state-funded preschool and/or Head Start) were included in the study. The average enrollment for the programs was 109 (sd = 64); 91% of the children were from minority backgrounds; and 38% came from non-English speaking homes. Of the 746 teacher surveys collected, 451 (61%) were from school-based sites and 294 (39%) were from community-based sites. There were 2,464 parent surveys collected (59% school; 41% community). About one-third of the parent surveys were conducted in Spanish. Data were analyzed to determine reliability, internal validity, group differences, and sensitivity across sites. Child outcome results were used to examine if positive scores on the surveys were related to desirable outcomes for children (attendance and teacher-child interactions). Hierarchical linear modeling (HLM) was used to compute average site-level CLASS scores to account for the shared variance among classrooms within the same school. Exploratory factor analysis was performed to group the scales. RESULTS The surveys performed well in the measurement characteristics of scale reliability, internal validity, differential item functioning, and sensitivity across sites . Reliability was measured for 25 scales with Rasch Person Reliability scores ranging from .73 to .92; with only two scales falling below the preferred .80 threshold. The Rasch analysis also provided assessment of internal validity showing that 97% of the items fell in an acceptable range of >0.7 to <1.3 (infit mean squares). The Teacher/Staff survey could detect differences across sites, however the Parent Survey was less effective in detecting differences across sites. Differential item functioning (DIF) was used to compare if individual responses differed for school- versus community-based settings and primary language (English versus Spanish speakers). Results showed that 18 scales had no or only one large DIF on the Teacher/Staff Survey related to setting. There were no large DIFs found related to setting on the Parent Survey and only one scale that had more than one large DIF related to primary language. The authors decided to leave the large DIF items in the scale because the number of large DIFs were minimal and they fit well with the various groups. The factor analysis aligned closely with the five essentials in the K-12 model . However, researchers also identified a sixth factor—parent voice—which factored differently from involved families on the Parent Survey. Therefore, the Early Education Essentials have an additional dimension in contrast to the K-12 Five Essentials Framework. Outcomes related to CLASS scores were found for two of the six essential supports . Positive associations were found for Effective Instructional Leaders and Collaborative Teachers and all three of the CLASS domains (Emotional Support, Classroom Organization, and Instructional Support). Significant associations with CLASS scores were not found for the Supportive Environment, Involved Families, or Parent Voice essentials. Ambitious Instruction was not associated with any of the three domains of the CLASS scores. Table 1. HLM Coefficients Relating Essential Scores to CLASS Scores (Model 1) shows the results of the analysis showing these associations. Outcomes related to student attendance were found for four of the six essential supports . Effective Instructional Leaders, Collaborative Teachers, Supportive Environment, and Involved Families were positively associated with student attendance. Ambitious Instruction and Parent Voice were not found to be associated with student attendance. The authors are continuing to examine and improve the tool to better measure developmentally appropriate instruction and to adapt the Parent Survey so that it will perform across sites. There are a few limitations to this study that should be considered. Since the research is based on correlations, the direction of the relationship between factors and organizational conditions is not evident. It is unknown whether the Early Education Essentials survey is detecting factors that affect outcomes (e.g., engaged families or positive teacher-child interactions) or whether the organizational conditions predict these outcomes. This study was limited to one large city and a specific set of early childhood education settings. It has not been tested with early childhood centers that do not receive Head Start or state pre-K funding. DISCUSSION The Early Education Essentials survey expands the capacity of early childhood program leaders, policymakers, systems developers, and researchers to assess organizational conditions that specifically affect instructional quality. It is likely to be a useful tool for administrators seeking to evaluate the effects of their pedagogical leadership—one of the three domains of whole leadership. 10 When used with additional measures to assess whole leadership—administrative leadership, leadership essentials, as well as pedagogical leadership—stakeholders will be able to understand the organizational conditions and supports that positively impact child and family outcomes. Many quality initiatives focus on assessment at the classroom level, but examining quality with a wider lens at the site level expands the opportunity for sustainable change and improvement. The availability of valid and reliable instruments to assess the organizational structures, processes, and conditions within early childhood programs is necessary for data-driven improvement of programs as well as systems development and applied research. Findings from this validation study confirm that strong instructional leadership and teacher collaboration are good predictors of effective teaching and learning practices, evidenced in supportive teacher-child interactions and student attendance. 11 This evidence is an important contribution to the growing body of knowledge to inform embedded continuous quality improvement efforts. It also suggests that leadership to support teacher collaboration like professional learning communities (PLCs) and communities of practice (CoPs) may have an effect on outcomes for children. This study raises questions for future research. The addition of the “parent voice” essential support should be further explored. If parent voice is an essential support why was it not related to CLASS scores or student attendance? With the introduction of the Early Education Essentials survey to the existing battery of program assessment tools (PQA, PAS, ECWJSI, ECWES, ECJSS and SEQUAL), a concurrent validity study is needed to determine how these tools are related and how they can best be used to examine early childhood leadership from a whole leadership perspective. ENDNOTES 1 High/Scope Educational Research Foundation, 2003 2 Talan & Bloom, 2011 3 Curbow, Spratt, Ungaretti, McDonnell, & Breckler, 2000 4 Bloom, 2016 5 Bloom, 2016 6 Whitebook & Ryan, 2012 7 Bryk, Sebring, Allensworth, Luppescu, & Easton, 2010 8 Ehrlich, Pacchiano, Stein, Wagner, Park, Frank, et al., 2018 9 Pianta, La Paro, & Hamre, 2008 10 Abel, Talan, & Masterson, 2017 11 Bloom, 2016; Lower & Cassidy, 2007 REFERENCES Abel, M. B., Talan, T. N., & Masterson, M. (2017, Jan/Feb). Whole leadership: A framework for early childhood programs. Exchange(19460406), 39(233), 22-25. Bloom, P. J. (2016). Measuring work attitudes in early childhood settings: Technical manual for the Early Childhood Job Satisfaction Survey (ECJSS) and the Early Childhood Work Environment Survey (ECWES), (3rd ed.). Lake Forest, IL: New Horizons. Bryk, A. S., Sebring, P. B., Allensworth, E., Luppescu, S., & Easton, J. Q. (2010). Organizing schools for improvement: Lessons from Chicago. Chicago, IL: The University of Chicago Press. Curbow, B., Spratt, K., Ungaretti, A., McDonnell, K., & Breckler, S. (2000). Development of the Child Care Worker Job Stress Inventory. Early Childhood Research Quarterly, 15, 515-536. DOI: 10.1016/S0885-2006(01)00068-0 Ehrlich, S. B., Pacchiano, D., Stein, A. G., Wagner, M. R., Park, S., Frank, E., et al., (in press). Early Education Essentials: Validation of a new survey tool of early education organizational conditions. Early Education and Development. High/Scope Educational Research Foundation (2003). Preschool Program Quality Assessment, 2nd Edition (PQA) administration manual. Ypsilanti, MI: High/Scope Press. Lower, J. K. & Cassidy, D. J. (2007). Child care work environments: The relationship with learning environments. Journal of Research in Childhood Education, 22(2), 189-204. DOI: 10.1080/02568540709594621 Pianta, R. C., La Paro, K. M., & Hamre, B. K. (2008). Classroom Assessment Scoring System (CLASS). Baltimore, MD: Paul H. Brookes Publishing Co. Talan, T. N., & Bloom, P. J. (2011). Program Administration Scale: Measuring early childhood leadership and management (2 nd ed.). New York, NY: Teachers College Press. Whitebook, M., & Ryan, S. (2012). Supportive Environmental Quality Underlying Adult Learning (SEQUAL). Berkeley, CA: Center for the Study of Child Care Employment, University of California.
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