Child care work environments: the relationship with learning environments.
Lower, Joanna K. ; Cassidy, Deborah J.
Abstract. The study explores the relationship between child care
program administration, organizational climate, and global quality. The
recently developed Program Administration Scale (PAS; Talan & Bloom,
2004) was utilized in the study. Both program administration and
organizational climate were found to be positively correlated with
preschool classroom global quality. There was also a significant
relationship between organizational climate and a language/interaction
factor of the ECERS-R. The level of education of the director was
related to higher quality administrative practices and not-for-profit centers scored significantly better than for-profit centers did on the
PAS. Additionally, a statistically significant relationship between the
PAS and the Parents and Staff Subscale of the ITERS-R and ECERS-R was
found.
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The child care industry has historically struggled with poor
working conditions--no breaks, unpaid overtime, lack of benefits, low
salaries, low status, and an academically unprepared workforce
(Modigliani, 1986). Today, the child care industry continues to struggle
with somewhat similar issues of high turnover rates, inequitable
compensation, a range in academic preparation, and little attention to
the work environment. Whitebook, Sakai, Gerber, and Howes (2001)
describe the child care workforce as "alarmingly unstable" (p.
v), with 82 percent of child care teachers in 1994 and 76 percent of
child care teachers in 1996 no longer retained in 2000. The Center for
the Child Care Workforce (2004) estimated the average hourly wage for
child care teachers to be $8.37, near the poverty level. Further,
between 1999 and 2000 the national turnover rate was estimated at 30
percent (Whitebook et al., 2001). When addressing recruitment and
retention of qualified child care teachers, the Center for the Child
Care Workforce highlights the need to focus on the work environment, in
addition to wages and benefits. Because the child care work environment
has not been the focus in quality enhancement initiatives, there is
uncertainty as to its long-term implications for the workforce and
quality of care. In addition, without immediate attention placed on the
child care work environment, poor professional standards for the child
care workforce and poor working conditions may continue to be barriers
to an already fragmented profession.
The current study explores the relationship between child care
teacher work environments--both the program administration and
organizational climate--and classroom global quality. The study
empirically addresses several unique questions that focus on teacher
work environments and the quality of classrooms and interactions with
children. That is, this study describes a dynamic relationship among
leadership and management practices of the program administration,
teachers' perceptions of their work captured in organizational
climate, and how that relates to the classroom practices experienced by
children. Understanding the relationship between the work environment
(program administration and organizational climate) and child care
global quality has important implications, for it provides a foundation
for improving global quality by focusing on the needs of teachers to do
their jobs the best they can.
Program Administration, Organizational Climate, and Global Quality
Global quality is intended to capture a holistic view of child care
quality. Therefore, it seems important to include child care
administrative practices when representing global quality. Many states
have recognized teacher qualifications as critical to child care quality
by including education as a criterion for enhanced licensing
requirements. However, when examining child care global quality,
indicators of administrative practices are often given little attention,
compared to such child-related factors as materials, activities, health
and safety, and teacher-child interactions. Yet, the Early Childhood
Environment Rating Scale-Revised (ECERS-R; Harms, Clifford, & Cryer,
1998), a commonly used measure of global quality, contains questions
that assess administrative practices within the "Parents and Staff
subscale. The Parents and Staff subscale of the ECERS-R includes the
following items: provisions for parents, provisions for personal needs
of staff, provisions for professional needs of staff, staff interaction
and cooperation, supervision and evaluation of staff, and opportunities
for professional growth. It is important to note that although some
studies include the Parents and Staff subscale (or equivalent subscale,
Adult Needs, in the original version) in the final global quality scores
(see Farran & Son-Yarbrough, 2001; Hubbs-Tait et al., 2002; La Paro,
Sexton, & Snyder, 1998; Phillips, Howes, & Whitebook, 1991;
Scarr, Eisenberg, & Deater-Deckard, 1994), many studies omit it when
calculating the overall average score (see Bryant, Maxwell, &
Burchinal, 1999; de Kruif, McWilliam, Ridley, & Wakely, 2000; Scarr,
Phillips, McCartney, & Abbott-Shim, 1993).
The program administrative indicators of the ECERS have been
excluded from studies for a variety of reasons. For example, Scarr et
al. (1993) describe the ECERS as assessing "developmental
appropriateness of care, including teacher-child interactions, health
and safety provisions, qualities of physical environment,
appropriateness of play materials, and daily activities" (p. 185),
yet they leave out adult needs in this description. Bryant, Maxwell, and
Burchinal (1999)justify excluding the adult needs (and the special
needs) items by suggesting the inclusion of only the "child-related
items" (p. 456). This particular study examined the effects of
Smart Start, a community initiative and intervention to improve child
care quality, and reported improved quality over the two-year testing
period. However, excluding the needs of staff in this report may have
been inappropriate in measuring the impact of Smart Start, because many
Smart Start initiatives address such issues as wages and other working
conditions.
Evidence exists that administrative practices do relate to global
quality. One study by Phillips, Howes, and Whitebook (1991) found
administrative practices to predict the use of developmentally
appropriate activities. Using the original versions of the ITERS (1990)
and ECERS (1986), Phillips et al. found the Adult Needs (Parents and
Staff) subscale to predict an activities factor (materials, scheduling,
and activities) of both scales. This evidence supports the use of the
administrative indicators as well as the need for additional research to
examine the relationship between program administration and global
quality. Furthermore, Mill and Romano-White (1999) found the
administrative practices to be one factor that predicts affectionate and
angry behaviors of teachers working with young children. Specifically,
Mill and Romano-White found a significant difference among job rewards,
job concerns, and supervisor support between groups of teachers who
exhibited angry behaviors compared to those who were more affectionate.
In addition, Bloom and Sheerer (1992) found leadership training for
teachers and directors to significantly improve classroom quality
scores.
Organizational climate also has been posited to affect child care
quality. Bloom (1996) found differences in organizational climate in
centers of different quality. Using the Early Childhood Work Environment
Survey (ECWES), she compared the organizational climate of child care
centers that were accredited by the National Association for the
Education of Young Children (NAEYC) with those that were not accredited.
Additionally, Ekholm and Hedin (1987) found that child care
organizational climate (attitudes and team-work) affect teacher
interactions with children, which they described as either present- or
future-focused. Centers with greater levels of teamwork were more likely
to be future-focused in their interactions with children. That is,
teachers who worked in facilities that exhibited more teamwork were also
more likely to be active in planning activities and interacting with the
children during play while being flexible to their needs. Subsequently,
children in future-focused environments were more likely to be more
engaged in activities. This study provides evidence that the
organizational climate, affected by the philosophies of practice within
the program administration at both the adult and child levels, impacts
children's experiences in care.
Research Questions
The current study explored three main questions: 1) What is the
relationship between program administration, as measured by the Program
Administration Scale and global quality? 2) What is the relationship
between organizational climate and global quality? and 3) What is the
relationship between program administration, as measured by the Program
Administration Scale and organizational climate? Because the Program
Administration Scale is a new measure, the authors also were interested
in questions involving director education and difference in scores based
on profit status.
Methods
Data and Sample
Data collection occurred in cooperation with the North Carolina Rated License Assessment Project (NCRLAP). Participants included child
care directors and teachers who received assessments as a part of North
Carolina's rated license, or as a part of a practice assessment
that was geared towards technical assistance also conducted through
NCRLAP. Participants were recruited from throughout the state (including
rural, suburban, and urban areas) from February 2005 through June 2005.
PAS assessments occurred within 6 months (M = 67 days; SD = 42.69) of
the ECERS-R assessments. Twenty-seven of the 30 centers with PAS
assessments also had ECERS-R assessments.
Among the 30 participating centers of the PAS, 245 teacher surveys
measuring the organizational climate were returned, resulting in a total
response rate of 43 percent. However, 12 surveys were removed from
analysis because the respondent indicated that his or her position did
not include working in the classroom, bringing down the sample size to
233 teachers. Additionally, only centers with greater than a 20 percent
response rate by teachers were considered in the organizational climate
analyses (n = 26), resulting in the removal of an additional 8 surveys
from analyses. The final sample size was 225 teacher surveys,
representing 26 centers with a center response rate of greater than 20
percent. Additionally, these centers were represented by at least 2
survey respondents and as many as 24 (M = 9; SD = 5) and a response rate
ranging from 22 percent to 100 percent (M = .49; SD = .23). The PAS
results for the remaining 4 centers in the sample are still used in
analyses examining relationships with classroom global quality.
Measures
For purposes of this study, the Early Childhood Environment Rating
Scale-Revised (ECERS-R; Harms, Clifford, & Cryer, 1998) was used to
assess child care global quality. The Early Childhood Work Environment
Survey short form (ECWES; Bloom, Sheerer, & Britz, 1998) was used to
examine organizational climate. The Program Administration Scale (PAS;
Talan & Bloom, 2004) was used to evaluate the program
administration.
ECERS-R. The ECERS-R is a widely used measure that assesses child
care global quality. The original ECERS was developed in 1980 and
revised in 1998. The revised version is now used in place of the
original with additional content that focuses on diversity, special
needs, and current "best practices." The ECERS-R was found to
have high internal consistency of .92, with a subscale internal
consistency of .71 to .88 (Harms, Clifford, & Cryer, 1998). Its
measurement of global quality includes both structural and
process-oriented components across the scale (Cassidy, Hestenes, Hansen et al., 2005). ECERS-R includes 43 items and 470 indicators. It has 7
subscales: space and furnishings, personal care routines,
language-reasoning, activities, interaction, program structure, and
parents and staff. The ECERS-R is designed as an observational measure
that typically requires three to five hours of observation and a teacher
interview. Based on observations, each of the items is scored from 1
(inadequate) to 7 (excellent). In addition to research, the ECERS-R is
used as part of regulatory enhancement programs in 19 states, including
North Carolina. The North Carolina Rated License Assessment Project
maintains an inter-rater reliability of at least 85 percent within one
point.
With the revised version of the ECERS, Cassidy, Hestenes, Hegde,
Hestenes, and Mims (2005) found the ECERS-R to contain two factors
(activities/materials and language/interactions) including 16 items
that, when used together, could accurately predict the entire global
quality score with a .92 correlation between the factors and the entire
scale. The activities/materials factor included items: 3. Furnishings
for relaxation and comfort, 5. Space for privacy, 15. Books and
pictures, 19. Fine motor, 20. Art, 22. Blocks, 24. Dramatic play, 25.
Nature/science, and 26. Math/number. The language/interactions factor
included items: 17. Using language to develop reasoning skills, 18.
Informal use of language, 30. General supervision of children, 31.
Discipline, 32. Staff-child interactions, 33. Interactions among
children, and 36. Group time. In addition to examining global quality
from the entire ECERS-R scores, the current study also was interested in
examining the language/interaction factor because of its
process-oriented characteristics (Cassidy, Hestenes, Hansen et al.,
2005).
The Early Childhood Work Environment Survey. The Early Childhood
Work Environment Survey short form is an abbreviated version of the
Early Childhood Work Environment Survey long form (Bloom, Sheerer, &
Britz, 1998). Like the long form, the ECWES short form evaluates the
organizational climate based on 10 dimensions: collegiality,
professional growth, supervisor support, clarity, reward system,
decision-making, goal consensus, task orientation, physical setting, and
innovativeness (Bloom, Sheerer, & Britz). It consists of a total of
20 questions that can range in score from 0 to 5, 5 being the highest
score. In addition, there are three open-ended questions that relate to
organizational climate. In addition to the standard questions included
in the ECWES short form, other demographic questions were asked.
The ECWES long form has been used in several studies as a measure
of organizational climate unique to child care and has been found to
contain distinct dimensions of the work environment with high internal
consistency, with a Cronbach's alpha of .95 (Bloom & Sheerer,
1992). In addition, internal consistency of the subscales have been
found to be of acceptable levels, ranging from .66 (decision-making) to
.92 (congruence with ideal) across many studies (Bloom, 1988, 1996;
Bloom & Sheerer, 1992). The ECWES survey short form includes the
same dimensions as the long form, providing a snapshot of the
organizational climate (Bloom, Sheerer, & Britz, 1998). The short
form, due to its abbreviation, increased the likelihood of participation
in the current study and is intended to provide an accurate score that
represents the organizational climate.
Program Administration Scale. The Program Administration Scale
(PAS; Talan & Bloom, 2004) examines child care program
administration, including leadership and management practices, based on
a director's report that is supported by documentation and
observation. Initially, directors are interviewed for approximately two
hours and their responses are confirmed through evidence of
documentation. The PAS includes 25 items and 10 subscales: human
resource development, personnel cost and allocation, center operations,
child assessment, fiscal management, program planning and evaluation,
family partnerships, marketing and public relations, technology, and
staff qualifications. The PAS is modeled after the ECERS-R, with a
7-point scale, and is scored similarly, with 1 as inadequate and 7 as
excellent. Like the ECERS-R, subscales of the PAS are averaged for a
final score. Reliability and validity of the PAS was assessed with a
sample of 67 centers representing small, medium, and large centers that
were both accredited and not accredited by the National Association for
the Education of Young Children (Talan & Bloom, 2004). The internal
consistency using Cronbach's Alpha was .85 for the total scale. A
Pearson's r found the subscales to be correlated from .09 to .63
with a mean of .33 and the item correlations ranged from .02 to .78.
Among eight assessors, the interrater reliability was 90 percent within
one point. Finally, moderate correlations were found between the PAS and
the ECERS-R Parents and Staff Subscale (.53) and the PAS and the
Professional Growth Subscale of the ECWES (.52).
Results
Descriptive Information
Center Demographics. Table 1 presents center characteristics. Sixty
percent of the centers were for-profit, while 40 percent were
not-for-profit programs. Table 2 describes the center populations,
including licensing capacity and number of hired staff for the
participating centers. Additionally, according to directors'
reports, on average within the last 12 months there was 16 percent
turnover among administrative staff, 23 percent turnover among teaching
staff, and 8 percent turnover among support staff.
Teacher Demographics. Teachers from the 30 centers participating in
the study were requested to complete a survey that included questions
measuring organizational climate. To be eligible to participate in the
survey, teachers were required to work full time (at least 30 hours per
week). A strong majority of the respondents were women (96.8 percent),
ranging in age from 17 to 74 (M = 35.8; SD = 12.2). Teacher
racial/ethnic background and education are reported in Table 3. Teachers
had a range of experience from less than 1 year to 28 years (M = 7.2; SD
= 5.7) and worked at their current facility for a range of less than i
year to 28 years (M = 3.3; SD = 3.9). Teacher hourly wages and benefits
received are reported in Table 4.
Director Demographics. Of the 30 participating centers, 25
directors completed the survey. One hundred percent of the directors
were women, ranging in age from 23 to 79 years old (M = 40.8; SD =
13.7). Director racial/ethnic background and education is reported in
Table 3. Director salary and benefits received are reported in Table 5.
Additionally, directors reported working from 40 to 60 hours per week (M
= 43.4; SD = 5.7) and reported working at their current facility for a
range of less than i year to 18 years (M = 4.64; SD = 3.93). Years of
child care administrative experience ranged from less than 1 year to 28
years (M = 8.54; SD = 6.45). Additionally, directors reported having a
range of years of experience teaching young children, with some
reporting less than 1 year of experience and some with as many as 20
years (M = 5.73; SD = 6.21). Sixty-four percent of the directors
reported that they worked with an assistant director.
Scale Statistics
Program Administration Scale. Each of the 30 centers participated
in a PAS assessment. The final subscale, Staff Qualifications, was not
used in the analyses because the information was not consistently
reported for all classroom teachers, which is needed to accurately
complete this subscale. The internal consistency of the first nine
subscales combined was acceptable ([alpha] = .88). On a Likert scale of
1 to 7, the scores were positively skewed within normal range, with a
mean score of 2.87 (SD = .88) and a range of 1.14 to 5.19. A certified Program Administration Scale assessor with an inter-rater reliability of
100 percent within one point of the authors of the PAS collected this
portion of the data.
Early Childhood Work Environment Survey-Short Form. The internal
consistency for the ECWES measuring organizational climate perceived by
the teachers was acceptable ([alpha] = .95). On a Likert scale of 1 to
5, the individual (n = 224) reports of organizational climate scores
were negatively skewed within normal range with a mean of 4.03 (SD =
.78) and a range of 1.69 to 5.0. Organizational climate measured at the
center level (n = 26) was negatively skewed within normal range, with a
mean of 3.97 (SD = .53) and a range of 2.76 to 4.86.
ECERS-R. Each center participating in the PAS also participated in
at least two Environment Rating Scale assessments. A total of 55 ECERS-R
assessments were conducted across 27 of the participating centers.
Assessors collecting this portion of the data maintained an inter-rater
reliability of at least 85 percent within one point.
The internal consistency of the ECERS-R was acceptable ([alpha] =
.83). Including all seven subscales, the ECERS-R scores were negatively
skewed within the normal range, with ECERS-R scores ranging from 3.90 to
6.00 (M = 5.06; SD = .54). The ECERS-R scores on average were at the
"good" level. Generally, there were at least two classroom
assessments within each center; therefore, a benefit of looking at
relationships at the classroom-level was that it potentially allowed for
greater power within analyses. Table 6 provides a summary of findings
addressing each of the research questions.
Organizational Climate and Global Quality. A significant positive
correlation existed between organizational climate and classroom global
quality, r (44) = .301, p =. 045. Using the Language/Interaction factor
found by Cassidy, Hestenes, Hegde, Hestenes, and Mims (2005), a Pearson r correlation also revealed a significant moderate positive relationship
between center organizational climate and the language/interaction
factor, r (44) = .412, p = .005.
Program Administration and Global Quality. Program administration,
as measured by the PAS, was significantly related to classroom global
quality. A Pearson r correlation revealed a statistically significant
moderate correlation between PAS scores and ECERS-R classroom scores, r
(54) = .291, p = .031.
PAS and Parents and Staff Subscale. Because the Parents and Staff
Subscale of the ECERS-R appears to contain indicators measuring
leadership and management practices, the relationship between the PAS
and the Parents and Staff Subscale captured in the ECERS-R was examined.
A statistical trend was found between these measures, r (54) = .223,p =
.10. In order to increase the power of this analysis, available
Infant/Toddler Environment Rating Scale-Revised (ITERS-R; Harms, Cryer,
& Clifford, 2003) scores were combined with the ECERS-R scores.
Thirty-four ITERS-R assessments from the participating centers were
included in analyses. The Parents and Staff subscale of the ITERS-R and
ECERS-R contain the same questions, with the exception of one additional
question in the ITERS-R. Therefore, the scores of the Parent and Staff
subscales over the two measures were combined. By combining the scores
from the ITERS-R and ECERS-R classrooms, statistical power was
increased. ITERS and ECERS scores have been combined for analysis in
several other studies, due to the strong correlations between the two
scales (see Cassidy, Buell, Pugh-Hoese, & Russell, 1995; Scarr,
Eisenberg, & Deater-Deckard, 1994). A Pearson r correlation revealed
a statistically significant positive correlation between the PAS and the
Parents and Staff Subscale of the ITERS-R and ECERS-R classrooms, r (88)
= .287, p = .006.
Organizational Climate and Program Administration. A Pearson r
correlation revealed a statistical trend between the program
administration score, as measured by the PAS and the organizational
climate, r (25) = .331, p = .098. It is important to note that the
sample size for this analysis was small (n = 26), and therefore it is
possible that this finding would be statistically significant with a
larger sample size and greater power.
Additional Analyses
Director Experience and Education. Because the PAS is set up as a
rubric for improving administrative practices over time, it was of
interest to see if director experience or education was related to PAS
scores. Director years of experience and education was attained from the
director surveys that were returned (n = 25). A Pearson r correlation
revealed that years of child care administrative experience were not
correlated with PAS scores, r (23) = .096, p = .66.
An independent samples t-test revealed that directors with at least
some college courses or a 2-year college degree scored significantly
lower (M = 2.49; SD = .80) on the PAS than did directors with at least a
4-year degree (M = 3.24; SD = .79), t (22) = -2.22,p = .037.
Additionally, an independent samples t-test indicated that directors
with the North Carolina Administration III Credential scored
significantly better (M = 3.5; SD = .74) compared to directors with no
or a lower level Administration Credential (M = 2.48; SD = .70), t (21)
= -3.419, p = .003.
Director Report versus Document Verification. Because it is
recommended procedure when implementing the PAS to first interview
directors and then to verify their responses with supporting
documentation, it was of interest to see if the scores based on
directors' stated practices aligned with the scores assigned following the document verification, a key element to a valid
assessment. A paired sample t-test revealed that the mean score of
directors' stated practices (M = 3.25, SD = 1.04) was significantly
different than the mean PAS score following document verification (M =
2.87, SD = .88), t (29) = -6.73,p = .00. That is, the directors claim to
implement practices that would score significantly higher on the PAS
than the scores assigned by a trained assessor based on supporting
documentation.
Profit Status. An independent samples t-test revealed that the PAS
mean score for not-for-profit centers was significantly higher (M =
3.25, SD = .91) than for the for-profit centers (M = 2.61, SD = .79), t
(28) = 2.04, p = .05. An analysis of variance (ANOVA) revealed that
there was no difference in educational backgrounds of directors in
for-profit and not-for-profit centers, F (1, 22) = 1.43, p = .245. While
the PAS scores were significantly different by auspice, this did not
hold true when examining center organizational climate scores. Although
the center organizational climate mean score was slightly higher for
not-for-profit centers (M = 4.13; SD = .47) compared to the for-profit
centers (M = 3.83; SD = .55), they were not significantly different, t
(24) = 1.45, p = .16. However, when examining individual teacher
perceptions of the organizational climate by auspice, an independent
samples t-test revealed that teachers working in not-for-profit centers
rated the organizational climate (M = 4.18; SD = .07) significantly
better than teachers working in for-profit centers (M = 3.95; SD = .07),
t (196) = 2.26, p = .025. Teachers working in not-for-profit centers
also reported earning an average of $7.94 per hour and teachers working
in for-profit centers reported earning an average of $7.51 per hour.
According to an independent samples t-test, this $0.43 difference
represents a statistical trend that not-for-profit teachers earned more
per hour than for-profit teachers, t (217) = 1.84, p = .067. Although
directors in not-for-profit centers, on average, earned $31,568 per year
while for-profit center directors earned $27,554 per year, this
difference was not statistically significant with the current sample
size (n = 20), t (18) = 1.22, p = .24.
Discussion
The current study suggests that program administration and
organizational climate are critical variables to quality early care and
education. The leadership and management practices of program
administration should be considered as a variable when attempting to
raise quality in early childhood programs by building a competent
workforce. Additionally, focusing on the organizational climate, or how
teachers perceive the work environment, and on the practices of the
program administration requires conceptualizing early care and education
not only as a microsystem of developing children, but also as a
microsystem of developing adults.
Leadership and Management Practices
The newly developed Program Administration Scale (PAS; Talan &
Bloom, 2004) identifies important competency areas for early childhood
directors. The PAS measures director leadership and management by
incorporating both transactional and transformational qualities of
effective administrative practices. Results from the current sample
further support the idea that more attention is needed on the quality of
leadership and management practices in early care and education centers.
That is, on a 1 to 7 Likert scale, the average PAS score in the current
sample was 2.87 (SD = .88), with a range of 1.14 to 5.19. According to
the PAS, on average, the quality of program administrative practices
among the sample was meeting less than "minimal" standards and
no centers were in the "excellent" range. This is especially
surprising, since the sample represents higher quality child care in
North Carolina. Additionally, the average from the current sample is
lower than the average (M = 3.59) reported by Talan and Bloom (2004).
However, the average scores reported by Talan and Bloom are only
slightly above the "minimal" standard set by the scale.
Therefore, both scores suggest needed improvement in leadership and
management practices in child care centers. It is important to note that
the current sample, like the sample reported by Talan and Bloom (2004),
did not have prior knowledge of the content of the PAS prior to the
assessments.
It also should be noted that directors have an intangible role in
setting the tone for the program. In a recent study in North Carolina,
director continuing education was correlated with classroom quality
improvement in child care centers participating in the North Carolina
Rated License Assessment Project (Hansen, Cassidy, & Mims, 2006).
The vision and goal-setting role of directors provides the support
system that teachers need to create quality educational settings for the
children in their classrooms. Neugebauer (1999) also suggests that the
director is the key to quality and that this relationship is the impetus for the numerous state, foundation, and national organizations that have
instituted credentialing for administrators of child care facilities.
The development of the PAS provides the field with a reliable and
comprehensive definition of excellence for leadership and management in
early childhood settings. Conceptually, it contains both face and
content validity. Additionally, the current study suggests that it
contains discriminate validity by making distinctions between
administrative practices among the centers participating in the study
and parsing out distinctions between lower and higher quality practices
in leadership and management. Further, the alpha coefficient ([alpha] =
.88) of the scale indicates that the items contain acceptable internal
consistency or reliability.
Unfortunately, there are few early childhood director preparation
programs or educational opportunities to help directors learn the
qualities associated with being an effective leader and developing a
positive work environment (Bloom & Sheerer, 1992). This situation
subsequently contributes to the lack of knowledge about the
responsibilities associated with administration and being a leader in
early childhood settings. In fact, Morgan (1997) describes the early
childhood field to "have been reluctant to devise formal
preparation programs for the role of director" (p. 11), further
adding to the ambiguity of explicitly defining the role of director and
its leadership and management responsibilities in early childhood
programs.
[FIGURE 1 OMITTED]
The results of this study support directors attaining at least a
4-year degree and participating in education opportunities to reach
towards higher early childhood leadership and management practices, such
as the North Carolina Level-III Administrative Credential, in order to
improve their administrative practices and program quality. At the
national level, the Good Start, Grow Smart initiative (2002) requires
states to develop child care workforce qualifications (e.g.,
professional development plans that include education and training
opportunities) that support children's learning standards. Based on
the current study, focusing on the development of enhanced
qualifications for directors seems equally important as developing
qualifications for teachers. Subsequently, developing director
preparation programs to prepare directors for their leadership role in
the early care and education setting creates standards that may improve
leadership and management practices within the industry. These
recommendations require macro level changes, changes that are a result
of societal and political views.
Parents and Staff Subscale
The current study offers support to include the Parents and Staff
subscale within the ITERS-R and ECERS-R when assessing global quality.
While a statistical trend was evident between the PAS and the Parents
and Staff subscale of the ECERS-R, increasing the sample size and adding
an additional 32 Parents and Staff subscales from the ITERS-R revealed a
statistically significant relationship between the PAS and the Parents
and Staff subscale. This finding supports a finding by Talan and Bloom
(2004) showing a moderate correlation between the PAS and the Parents
and Staff subscale. While there was a positive correlation between the
PAS and the Parents and Staff subscale of the ITERS-R and ECERSR
classrooms, the internal consistency of the Parents and Staff subscale
of the ECERS-R ([alpha] = .411) and ITERS-R ([alpha] = .598) are low to
moderate at best, which may suggest a need to revise this portion of the
scales. However, it is important to note that when used in conjunction
with the other indicators of the Environment Rating Scales, the Parents
and Staff Subscale does not compromise the internal consistency of the
entire ITERS-R and ECERS-R.
The use of the Parents and Staff subscale of the Environment Rating
Scales would raise much-needed public awareness and improve standards by
clearly communicating that the work environment is an integral part of
global quality. Further, use of the Program Administration Scale, in
addition to the Environment Rating Scales, also may bring a much-needed
focus to the importance of management and leadership practices in early
childhood settings. Significantly raising the standards of the child
care work environment may result in a more stable workforce.
Program Administration and Organizational Climate
It is interesting to note that the PAS scores of the current study
were positively skewed within the normal range, while the organizational
climate scores were negatively skewed within the normal range. This
disparity may be the difference between measuring subjective perceptions
as organizational climate reflects and more objective ratings like the
PAS scores reflect. Both types of measurement reveal important aspects
of quality in the current study. That is, both the PAS scores and the
organizational climate scores were found to be independently correlated
with global quality in preschool classrooms.
With both management and leadership practices in the organizational
climate, as well as how those practices are perceived by staff,
correlated with classroom global quality, both constructs seem important
to consider in early care and education settings. The PAS provides a
rubric for management and leadership practices to improve over time.
However, it is likely that these changes must include the perspectives
and participation of the teaching staff in shared leadership rather than
making changes without staff input. This, in turn, seems necessary to
positively impact the organizational climate that is also reflected in
correlations with classroom global quality and language and interactions
experienced by children.
Organizational Climate
The relationship between the organizational climate and the ECERS-R
teacher-child language/interaction factor is compelling and further
supports the contention that teachers' perceptions of their work
environments are also experienced within the interactions they have with
the children with whom they work. The current findings support research
by Ekholm and Hedin (1987) that found teacher attitudes and center-level
teamwork to benefit teachers' interactions with children in the
classroom. Additionally, Bloom (1996) found organizational climate to be
significantly better in programs that were NAEYC-accredited and likely
to be of higher quality, compared to programs that were not accredited
by NAEYC.
The organizational climate of child care work environments and its
relationship with the language and interactions used in classrooms is
interesting and signals a need for further research. The administrative
practices and professional standards in the field that support healthy
organizational climates are shared with the environment in which
children are learning and developing. Child care work environments may
not only be important to recruitment and retention in building a stable
workforce, but also may be important when addressing child care quality
from the standpoint of preparing children for school and building their
sense of social responsibility. Therefore, child care work environments,
and most importantly how teachers perceive their work environment, are
variables that must be addressed in the pursuit to improve child care
quality.
Reliability of Director Reports
Significant differences were found between scores on the PAS, based
on directors' stated practices and those assigned by a trained
assessor upon completion of document verification. This finding suggests
that although directors may have good intentions of implementing a
practice, without systems of accountability, these practices may go
unattended. For example, Item 1. Staff Orientation, Indicator 5.1 of the
PAS, requires documentation and states, "The orientation includes
feedback from the supervisor during the introductory or probationary period" (Talan & Bloom, 2004, p. 11). There were cases when
directors indicated that they provided feedback to new teachers during
their introductory or probationary period; however, they seldom had
documentation to support this claim. It may be that directors were, in
fact, providing useful verbal feedback to the new teachers. Without
documentation, however, there is no benchmark created for teachers to
focus on improvements and to revisit during evaluations. Additionally,
feedback may be casually provided in passing or during a quick
observation but, without documentation, it is indeterminable if this
feedback is thorough and if it is understood by the new teacher, who may
be overwhelmed with learning the logistics of working within a new
environment.
From item 14, Program Evaluation, directors were asked about
assessment tools used by staff and parents to evaluate the program. If
tools were used (e.g., a survey), there were some cases where there was
no evidence that data from the evaluations were used to develop written
plans for program improvement (a requirement of indicator 5.3). A
director implementing a tool for parents and staff to assess the program
may believe that she is receiving feedback about the program and even
perceive that her programmatic decisions are based on these evaluations,
thus meeting the minimal standards for this item. However, without
reflecting on these assessments with staff and creating a plan for
improvement, it is questionable how influential these evaluations are.
Further, while directors may have good intentions to develop a plan for
improvement and may even have conceptualized one, without documentation
it may go without implementation as a result of other pressing issues
and hurried schedules.
For-Profit and Not-For-Profit Status
Talan and Bloom (2004) included both for-profit and not-for-profit
child care centers in the sample that tested the psychometric properties
of the PAS and concluded that it was applicable for both types of
programs. Interestingly, in the current study, not-for-profit centers
scored significantly higher than for-profit centers. The examination of
individual teacher perceptions of the work environment revealed that
individual scores of organizational climate were also significantly
higher for teachers working in not-for-profit centers. Although it may
seem that for-profit centers would be more focused on their leadership
and management practices to increase revenue or, at a minimum, sustain
their respective child care sites, not-for-profit centers did
significantly better on the PAS. This may be due to increased levels of
accountability required for federal and state funding of not-for-profit
programs as well as other private donations. Additionally,
not-for-profit centers seem more likely to have multiple sources of
involvement, including boards and community partnerships. By contrast,
for-profit centers sometimes have a central office or an owner solely
involved with finances who oversees policies and procedures with little
collaboration from on-site directors. It is important to note that all
centers in the study had room for improvement; scores overall were low.
However, in the current sample, not-for-profit centers were more likely
to score better on the PAS than for-profit centers.
Similarly, in a review comparing for-profit and not-for-profit
child care, Kagan (1991) concluded that staff-child ratios tended to be
better and that quality of environment and expenditures were generally
higher for not-for-profit programs. Additionally, the Cost, Quality and
Outcomes Study (Helburn, 1995) found that the quality among for-profit
centers in North Carolina to be significantly lower than among the
not-for-profit centers. Kagan further contends "that the mixed
sector system so deeply imbedded in our society as a permanent reality
only confirms the need for spirited inquiry" (p. 100).
Subsequently, although in the current study ECERS-R averages were not
significantly different (based on profit-status), it is interesting to
note that the program administration scores were different.
Limitations
The number of centers included in the study was small, thus
impacting the power of the analyses. Recruitment procedures also created
a limitation to the study. Participants volunteered either to be a
practice site for the North Carolina Rated License Assessment Project or
requested an assessment to be considered in the state's rated
license. Because of their voluntary nature, the centers in the study are
likely to represent higher quality child care.
Policy Implications
There are many important policy implications of this study. Based
on the current findings, it may be premature to eliminate the Parents
and Staff subscale of the Environment Rating Scales in quality
enhancement initiatives and applied research. There seems to be little
evidence to exclude the Parents and Staff subscale of the ECERS-R and
ITERS-R. Work environment standards, such as those addressed by the
questions within the Parents and Staff subscale, that are ignored fail
to increase awareness of the importance of good work environments for
teachers, fail to contribute to improved working conditions, and
subsequently fail to sustain quality child care. Furthermore, omitting
the items delivers the message that the work environments of the women
teaching and caring for young children do not matter.
One way to improve standards for teacher work environments is to
create supportive policies. For example, as Quality Rating Systems are
developing across the United States, the use of the Program
Administration Scale as a performance measure in quality enhancement
initiatives and regulation should be explored. Including leadership and
management practices in comprehensive center evaluations used for
quality ratings is not only logical but may be necessary to achieve an
accurate picture of the environment in which both children and adults
develop. In order to produce accurate evaluations of program quality,
Mark and Shortland (1987) recommend using multiple methods and sources
when collecting information. Implementing the PAS as an additional
measure of quality allows for a more comprehensive understanding of
quality child care.
Conclusion and Future Research
In conclusion, a relationship between child care quality and child
care work environments, including program administration and
organizational climate, is supported. This study supports the idea that
child care leadership and management practices and organizational
climate are correlated with global quality. Further, the relatively low
scores on the PAS suggest a need to focus quality enhancement
initiatives and director preparation programs on improving child care
work environments. Additionally, leadership and management practices and
organizational climate should not be ignored in the process of improving
child care quality and building a stable workforce. Therefore, teaching
directors and teachers about quality work environments and professional
relationships is critical when teaching them about creating optimal
environments for children.
References
Bloom, P. J. (1988). Closing the gap: An analysis of teacher and
administrator perceptions of organizational climate in the early
childhood setting. Teacher & Teacher Education, 4, 111-120.
Bloom, P. J. (1996). The quality of work life in NAEYC accredited
and nonaccredited early childhood programs. Early Education and
Development, 7(4), 301-317.
Bloom, P. J., & Sheerer, M. (1992). The effect of leadership
training on child care program quality. Early Childhood Research
Quarterly, 7, 579-594.
Bloom, P. J., Sheerer, M., & Britz, J. (1998). Blueprint for
action: Achieving center-based change through staff development. Lake
Forest, IL: New Horizons.
Bryant, D. M., Maxwell, K. L., & Burchinal, M. (1999). Effects
of a community initiative on the quality of child care. Early Childhood
Research Quarterly, 14, 449-464.
Cassidy, D. J., Buell, M. J., Pugh-Hoese, S., & Russell, S.
(1995). The effect of education on child care teachers' beliefs and
classroom quality: Year one evaluation of the TEACH early childhood
association degree scholarship program. Early Childhood Research
Quarterly, 10, 171-183.
Cassidy, D. J., Hestenes, L. L., Hansen, J. K., Hegde, A., Shim,
J., & Hestenes, S. (2005). Revisiting the two faces of child care
quality: Process and structure. Early Education and Development, 16,
505-520.
Cassidy, D. J., Hestenes, L. L., Hegde, A., Hestenes, S., &
Mims, S. (2005). Measurement of quality in preschool child care
classrooms: The early childhood environment rating scale-revised and its
psychometric properties. Early Childhood Research Quarterly, 20(3),
345-360.
Center for the Child Care Workforce. (2004). Current data on the
salaries and benefits of the U.S. early childhood education workforce.
Washington, DC: American Federation of Teachers Educational Foundation.
de Kruif, R. E. L., McWilliam, R. A., Ridley, S. M., & Wakely,
M. B. (2000). Classification of teachers' interaction behaviors in
early childhood classrooms. Early Childhood Research Quarterly, 15,
247-268.
Ekholm, B., & Hedin, A. (1987). Studies of day care center
climate and its effect on children's social and emotional behavior.
Early Child Development and Care, 27, 43-57.
Farran, D. C., & Son-Yarbrough, W. (2001). Title I funded
preschools as a developmental context for children's play and
verbal behaviors. Early Childhood Research Quarterly, 16, 245-262.
Good Start, Grow Smart. (2002). Retrieved April 26, 2007, from
www.whitehouse.gov/infocus/ earlychildhood/toc.html
Hansen, J. K., Cassidy, D. J., & Mims, S. (2006, June). Quality
ratings systems: The importance of enhancing standards. Paper presented
at the NAEYC 15th Institute for Early Childhood Professional
Development, San Antonio, TX.
Harms, T., Clifford, C. M., & Cryer, D. (1998). Early Childhood
Environment Rating Scale: Revised Edition. New York: Teachers College
Press.
Harms, T., Cryer, D., & Clifford, C. M. (2003). Infant/Toddler
Environment Rating Scale: Revised Edition. New York: Teachers College
Press.
Helburn, S. W. (Ed.). (1995). Cost, quality and child outcomes in
child care centers, technical report. Denver, CO: Department of
Economics, Center for Research in Economic and Social Policy, University
of Colorado at Denver.
Hubbs-Tait, L., Culp, A.M., Huey, E., Culp, R., Starost, H. J.,
& Hare, C. (2002). Relation of Head Start attendance to
children's cognitive and social outcomes: Moderation by family
risk. Early Childhood Research Quarterly, 17, 539-558.
Kagan, S. L. (1991). Examining profit and nonprofit child care: An
odyssey of quality and auspices. Journal of Social Issues, 47, 87-104.
La Paro, K. M., Sexton, D., & Snyder, P. (1998). Program
quality characteristics in segregated and inclusive early childhood
settings. Early Childhood Research Quarterly, 13, 151-167.
Mark, M. M., & Shortland, R. L. (1987). Alternative models for
the use of multiple methods. In M. M. Mark & R. L. Shortland (Eds.),
Multiple methods in program evaluation (pp. 95-99). San Francisco:
Jossey-Bass.
Mill, D., & Romano-White, D. (1999). Correlates of affectionate
and angry behavior in child care educators of preschool-aged children.
Early Childhood Research Quarterly, 14, 155-178.
Modigliani, K. (1986). But who will take care of the children?
Childcare, women, and devalued labor. Journal of Education, 168, 46-69.
Morgan, G. (1997). Historical views of leader ship. In S. L. Kagan
& B. T. Bowman (Eds.), Leadership in early care and education (pp.
9-14). Washington, DC: National Association for the Education of Young
Children.
Neugebauer, R. (1999). Update on director development initiatives.
Child Care Information Exchange, 125, 81-83.
Phillips, D., Howes, C., & Whitebook, M. (1991). Child care as
an adult work environment. Journal of Social Issues, 47, 49-70.
Scarr, S., Eisenberg, M., & Deater-Deckard, K. (1994).
Measurement of quality in child care centers. Early Childhood Research
Quarterly, 9, 131-151.
Scarr, S., Phillips, D., McCartney, K., & Abbott-Shim, M.
(1993). Quality of child care as an aspect of family and child care
policy in the United States. Pediatrics, 91, 182-188.
Talan, T. N., & Bloom, P. J. (2004). Program administration
scale: Measuring early childhood leadership and management. New York:
Teachers College Press.
Whitebook, M., Sakai, L., Gerber, E., & Howes, C. (2001). Then
& now: Changes in child care staffing, 1994-2000. [Technical
report]. Washington, DC: Center for the Child Care Workforce.
Joanna K. Lower
Deborah J. Cassidy
The University of North Carolina at Greensboro
Table 1
Center Demographics
Centers (n = 30) Percentage n
Age Level Care
Infant care 83% 25
Toddler care 90% 27
Preschool care 100% 30
School-age care 67% 20
Programs Offered
Full-day program 100% 30
Part-day program 17% 5
School-day program 37% 11
Before/after-school
program 63% 19
Accreditation, Auspice,
and Funding Sources
NAEYC-accredited 13% 4
For-profit 60% 18
Not-for-profit 40% 12
Head Start funding 7% 2
State pre-K funding 53% 16
Faith-based funding 23% 7
Table 2
Center Populations
Min Max Mean SD
Licensing capacity 20 259 139 50.53
Full-time teachers 4 36 15.50 7.70
Part-time teachers 0 22 4.10 5.30
Full-time administrative
staff 1 4 2 0.72
Part-time administrative
staff 0 4 0.20 0.76
Full-time support staff 0 3 0.93 0.78
Part-time support staff 0 3 0.50 0.86
Note. Full-time is considered 35 hours per week or more and
part time is considered less than 35 hours per week
Table 3
Race and Education of Teachers and Directors
Teachers Directors
Race/Ethnicity Percentage n Percentage n
Asian/Pacific Islander 2 4
Black/African American 34 74 28 7
Hispanic/Latino 2 4
Native American 3 6 4 1
White/European American 58 130 68 17
Other 1 2
Highest Level
of Education Percentage n Percentage n
High School 25 53
Some College 40 86 17 4
2-Year College Degree 18 38 21 5
4-Year EC/CD Degree 8 18 17 4
4-Year Other Degree 6 12 29 7
Some Graduate Courses
or Degree 3 7 17 4
Table 4
Teaching Staff Hourly Wage and Benefits
n = 219 Percentage n
$5.50 - $6.99 19 40
$7.00 - $8.49 43 94
$8.50 - $9.99 21 46
$10.00 - $11.49 13 28
$11.50 - 12.99 5 10
$14.60 or higher 1 1
Fully paid health insurance 11 18
Partially paid health insurance 47 86
Fully paid dental insurance 4 7
Partially paid dental insurance 11 18
Table 5 Director Salary and Benefits
n = 25 Percentage n
$20,000 - $23,004 5 1
$23,005 - $26,000 15 3
$26,001 - $31,179 35 7
$31,180 - $35,360 10 2
$35,361 - $40,000 20 4
$40,001 - $45,000 15 3
Fully paid health insurance 22 4
Partially paid health insurance 65 11
Fully paid dental insurance 0 0
Partially paid dental insurance 12 17
Table 6 Pearson Correlations
ECERS-R ECERS-R
Language/ Parents
Interaction and Staff
ECERS-R Factor Subscale
Program n = 55 n = 55 n = 55
Administration
Scale 0.291 ** ns 0.223 *
Organizational n = 45 n = 45 n = 45
Climate
(ECWES) 0.301 ** 0.412 *** ns
ITERS-R
and
ECERS-R Organi-
Parents Program zational
and Staff Administra- Climate
Subscale tion Scale (ECWES)
Program n = 89 n = 26
Administration
Scale 0.287 *** 0.331 *
Organizational n = 89 n = 26
Climate
(ECWES) ns 0.331 *
* p < or =.10
** p < or =.05
*** p < or =.01