Self Efficacy II
Transcript of Self Efficacy II
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Effects on Teachers Self-Efficacy and Job Satisfaction:Teacher Gender, Years of Experience, and Job Stress
Robert M. KlassenUniversity of Alberta
Ming Ming ChiuState University of New York at Buffalo
The authors of this study sought to examine the relationships among teachers years of experience,
teacher characteristics (gender and teaching level), three domains of self-efficacy (instructional strate-
gies, classroom management, and student engagement), two types of job stress (workload and classroom
stress), and job satisfaction with a sample of 1,430 practicing teachers using factor analysis, item
response modeling, systems of equations, and a structural equation model. Teachers years of experience
showed nonlinear relationships with all three self-efficacy factors, increasing from early career to
mid-career and then falling afterwards. Female teachers had greater workload stress, greater classroom
stress from student behaviors, and lower classroom management self-efficacy. Teachers with greater
workload stress had greater classroom management self-efficacy, whereas teachers with greater class-
room stress had lower self-efficacy and lower job satisfaction. Those teaching young children (in
elementary grades and kindergarten) had higher levels of self-efficacy for classroom management and
student engagement. Lastly, teachers with greater classroom management self-efficacy or greater in-structional strategies self-efficacy had greater job satisfaction.
Keywords: self-efficacy, teachers, job satisfaction, motivation
An emerging body of research shows that teachers self-
efficacythe beliefs teachers hold about their capability to influ-
ence student learningis associated with student factors, like
achievement and motivation (Caprara, Barbaranelli, Steca, &
Malone, 2006), as well as teacher factors, like job commitment and
job satisfaction (e.g., Caprara, Barbaranelli, Borgogni, & Steca,
2003). In spite of the evident association between teachers self-
efficacy and student and teacher outcomes, little is known abouthow self-efficacy and job stress are related to teachers job satis-
faction or how teachers self-efficacy is related to years of expe-
rience. Teachers self-efficacy is believed to be most malleable in
the challenging early stage of a teachers career and then to
increase and become more firmly established as teachers gain
experience (Tschannen-Moran & Woolfolk Hoy, 2007; Wolters &
Daugherty, 2007). However, middle and late career stages bring
their own challenges that can influence motivation and job satis-
faction (e.g., Kooij, de Lange, Jansen, & Dikkers, 2008; Spickard,
Gabbe, & Christensen, 2002). In this study, we use advanced
modeling techniques (factor analyses, item response models, sys-
tems of equations, and structural equation models) to extend our
understanding of teachers motivation beliefs. First, we hypothe-
size a model of the relationships among self-efficacy, overall
perceived job stress, stress from classroom and workload factors,
teacher characteristics (gender and teaching level), and job satis-
faction. Second, we examine patterns of self-efficacy beliefs of
1,430 teachers with varying years of experience.
Teachers Self-Efficacy
Self-efficacy refers to individuals beliefs about their capabili-
ties to carry out a particular course of action successfully (Ban-
dura, 1997). Extensive research supports the claim that self-
efficacy is an important influence on human achievement in a
variety of settings, including education, health, sports, and busi-
ness (Bandura, 1997). In educational research, the self-efficacy
beliefs of students have been shown to play an important role in
influencing achievement and behavior. Furthermore, researchers
are finding that teachers self-efficacy influences their teaching
behaviors and their students motivation and achievement (Skaal-
vik & Skaalvik, 2007; Tschannen-Moran & Woolfolk Hoy, 2001).
Teachers with low self-efficacy experience greater difficulties in
teaching, higher levels of job-related stress (Betoret, 2006), and
lower levels of job satisfaction (Klassen et al., 2009).Self-efficacy researchers agree that teachers self-efficacy
should be operationalized to reflect beliefs about capability and
therefore should be phrased in terms ofcan do rather than will do.
Can is a judgment of capability; will is a statement of intention
(Bandura, 2006, p. 308, italics in original; also see Bong, 2006). In
addition, self-efficacy measures should reflect a particular context
or domain of functioning, rather than global functioning (Bandura,
1997). A global measure of teachers self-efficacy might ask,
How confident are you in your teaching ability? whereas a
domain-focused measure would inquire about teachers confidence
to accomplish particular tasks. Tschannen-Moran and Hoy (2001)
Robert M. Klassen, Department of Educational Psychology, University
of Alberta, Edmonton, Alberta, Canada; Ming Ming Chiu, Department of
Learning and Instruction, Graduate School of Education, State University
of New York at Buffalo.
The authors gratefully acknowledge funding support to Robert M.
Klassen from the Social Sciences and Humanities Research Council of
Canada.
Correspondence concerning this article should be addressed to Robert
Klassen, Department of Educational Psychology, University of Alberta,
Edmonton, Alberta T6G 2G5, Canada. E-mail: [email protected]
Journal of Educational Psychology 2010 American Psychological Association2010, Vol. 102, No. 3, 741756 0022-0663/10/$12.00 DOI: 10.1037/a0019237
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created a teachers self-efficacy measure with item stems of How
much can you do . . .? that explored teachers beliefs about their
capabilities in three key classroom domains: implementing instruc-
tional strategies, managing student behaviors, and engaging stu-
dents in the learning process. By including items from these three
critical areas, and by situating the three areas in teachers class-
rooms, the authors balanced the demands for specificity (i.e.,self-efficacy assessments that reflect particular tasks) and practical
usefulness (i.e., multifaceted measurement that is not microscop-
ically operationalized [Pajares, 1996, p. 562]) in a meaningful
context (i.e., teachers classrooms). Although earlier teachers
self-efficacy measures were marred by faulty conceptualization,
including a focus on ability, not capability, and a focus on external
influences, not internal beliefs (see Tschannen-Moran, Woolfolk
Hoy, & Hoy, 1998), more recent measures such as Tschannen-
Moran and Woolfolk Hoys (2001) Teachers Self-Efficacy Scale
adhere more closely to the theoretical guidelines proposed by
Bandura (1997, 2006), specifically in the focus on forward-looking
capabilities (e.g., I can craft good questions for students) and not
global ability (e.g., I am a good teacher).
Although Bandura (1997) hypothesized that self-efficacy beliefsremain relatively stable once established, researchers have noted
that little evidence exists about how (teachers) efficacy beliefs
change or solidify across stages of a career (Tschannen-Moran et
al., 1998, p. 238). A few studies have been conducted on the
relationship between teaching experience and teachers self-
efficacy, yielding varied results. Ross, Cousins, and Gadalla
(1996) found mixed support for the influence of experience on
teachers self-efficacy, and Ghaith and Yaghi (1997) found nega-
tive correlations between years of experience and teacher self-
efficacy, with both studies using modest-sized samples (52 and 25,
respectively). Woolfolk Hoy and Burke Spero (2005) conducted a
longitudinal study in which they collected data from teachers at
two points during their teacher-training program and at the end oftheir first year of teaching. Results showed a significant rise in
teachers self-efficacy during teacher training, followed by a de-
cline at the end of their first teaching year, but once again, the
research was hampered by a modest sample of 29 teachers.
A recent study by Wolters and Daugherty (2007) used a large
online sample of teachers (N 1,024) from the United States to
examine the influence of teaching experience on teachers self-
efficacy and goal structures. Teachers were divided into four
experience groups: 1 year, 15 years, 6 10 years, and 11 years
of experience. Then, they completed the three-factor Tschannen-
Moran and Woolfolk Hoy (2001) Teachers Self-Efficacy Scale as
well as a measure of goal structures. Results showed modest
effects of experience on self-efficacy for instructional strategies
(2 .04) and self-efficacy for classroom management (2 .02), but no effect of experience on self-efficacy for student
engagement. Although the researchers have made an important
contribution by linking experience with teachers self-efficacy,
their findings paint an incomplete picture, with two potential
limitations. One problem is that the relationship between teachers
self-efficacy and experience may not be linear. For example,
Woolfolk Hoy and Burke Spero (2005) found that teachers self-
efficacy initially rose and then fell over three data collection points
at the beginning of teachers careers. Another problem is that
teachers with more than 10 years of experience were treated as a
single group. The authors acknowledged that the lack of differ-
entiation among the most-experienced teachers may mask changes
in teachers self-efficacy that may occur toward the end of their
careers (p. 189). In fact, most teachers have more than 10 years
of experience: recent statistics show that American teachers have
an average of about 14 years of experience, and 60% of teachers
have 10 or more years of experience (U.S. Department of Educa-
tion, 2009). Thus, additional research on how experience affectsteachers self-efficacy across the career span is needed.
The developmental course of occupational self-efficacy is not
uniform from early to late adulthood, and teachers self-efficacy
may ebb and flow over the course of a career as it is influenced by
life and career events and challenges. Bandura (1997) suggested
that some workers at mid-to-late career stages may restructure or
scale down overambitious goals due to waning self-efficacy, al-
though this experience is not universal. Workplace environments
influence self-efficacy beliefs, with supervisors verbal persuasion
and modeling serving as important spurs to workers self-efficacy
development (Bandura, 1997). Kooij et al. (2008) suggested that
age-related physical and psychological factors can influence work
motivation, but workplace factors can mediate how age-related
concerns are interpreted. For teachers, the combination of success-ful past experience; verbal support from principals, students, peers,
and parents; and opportunities for observation of successful peers
builds self-efficacy for teaching (Tschannen-Moran et al., 1998).
The influence of the sources of self-efficacy, however, may change
over time, with verbal persuasion and contextual factors playing a
more important role for novice teachers than for veteran teachers
(Tschannen-Moran & Woolfolk Hoy, 2007). Self-efficacy beliefs
in the workplace are not static and reflect a lifelong process of
development that ebb and flow according to personal attributes and
interpretation of environmental circumstances.
Job Satisfaction and Job Stress
Despite reports of high levels of teachers job stress (Chaplain,
2008; Schwarzer & Hallum, 2008), many teachers find personal
satisfaction in their work. Job satisfactionperceptions of fulfill-
ment derived from day-to-day work activitiesis associated with
higher levels of job performance (Judge, Thoresen, Bono, & Pat-
ton, 2001). Caprara et al. (2003) considered job satisfaction a
decisive element (p. 823) influencing teachers attitudes and
performance and found self-efficacy to be an important contributor
to teachers job satisfaction. Teachers report that job satisfaction is
gained from the nature of day-to-day classroom activities, such as
working with children, seeing students make progress, working
with supportive colleagues, and overall school climate (Cockburn
& Haydn, 2004). Teachers who are dissatisfied with their work
display lower commitment and are at greater risk for leaving theprofession (Evans, 2001; Ingersoll, 2001). Liu and Ramsey (2008)
found that stress from poor work conditions had the strongest
influence on teachers job satisfaction and noted that inadequate
time for planning and preparation and a heavy teaching workload
reduced satisfaction from teaching.
Teaching may bring personal satisfaction, but it also brings
stress, with demands from administrators, colleagues, students,
and parents compounded by work overload, student misbehavior,
and a lack of recognition for accomplishments (Greenglass &
Burke, 2003). Teachers with greater teacher stress defined as the
experience of negative emotions resulting from a teachers work
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(Kyriacou, 2001)have lower self-efficacy (Betoret, 2006;
Schwarzer & Hallum, 2008; Skaalvik & Skaalvik, 2007), poorer
teacherpupil rapport, and lower levels of effectiveness (Abel &
Sewell, 1999; Kokkinos, 2007). Teachers with high levels of job
stress may gain satisfaction from work, but the level of satisfaction
may be muted by stress from role ambiguity, low autonomy, or
frequency or level of conflict with students and colleagues (Green-glass & Burke, 2003). Teaching has been listed among the high-
stress professions, with as many as one-quarter of teachers report-
ing that teaching is a very stressful job (Kyriacou, 2001). Whereas
previous studies have conceptualized teachers job stress as a
unidimensional construct (e.g. Schwarzer & Hallum, 2008), other
studies have shown that workload and student misbehavior (i.e.,
classroom factors) contribute separately to teachers overall stress
(Boyle, Borg, Falzon, & Baglioni, 1995). Teachers with high
levels of stress from these two sources show higher negative health
and vocational outcomes, including burnout (emotional exhaus-
tion, depersonalization, and reduced personal accomplishment),
absenteeism, and exit from the teaching profession (Betoret, 2006;
Jepson & Forrest, 2006; Kyriacou, 2001).
Teacher Characteristics
Teaching level and teacher gender are related to teachers job-
related beliefs. Elementary school teachers report higher levels of
self-efficacy for student engagement than teachers in middle or
high schools (Wolters & Daugherty, 2007). Liu and Ramsey
(2008) found that women experience less job satisfaction than
men, especially satisfaction from work conditions, and a number
of researchers have noted that female teachers report higher stress
than male teachers (e.g., Antoniou, Polychroni, & Vlachakis,
2006; Chaplain, 2008), possibly due to higher levels of overall
workload (Greenglass & Burke, 2003). Whereas Klassen et al.
(2009) found similar relationships between self-efficacy and job
satisfaction for teachers from five North American and Asian
countries, results from other studies suggest that teachers nation-
ality and associated cultural beliefs can influence the relationships
among job stress, job satisfaction, and teachers efficacy (Klassen,
Usher, & Bong, in press; Liu & Ramsey, 2008). Models explaining
teacher motivation must account not only for individual beliefs and
motivation but also for teacher characteristics such as teaching
level, teaching experience, gender, and demographic factors like
teachers cultural or national background.
Current Study
Although researchers have begun to examine teacher motivation
by studying self-efficacy, job stress, and job satisfaction, few have
proposed explanatory models that take into account teacher char-
acteristics such as years of experience, teaching level, and gender.
In the current study, we propose and test a model that accounts for
these contextual factors and also includes control variables for
teachers ethnic heritage and grades taught within schools (see
Figure 1). Two research questions are addressed. First, how is
teachers self-efficacy related to years of experience? We pre-
dicted that teachers self-efficacy would increase in early to mid-
career (e.g., Wolters & Daugherty, 2007) but show declines in the
late career stage, as has been found in previous research conducted
outside educational settings (Kooij et al., 2008). Second, what are
the relationships among teachers self-efficacy, job stress (overall
stress and sources of stress), job satisfaction, and contextual fac-
tors (teacher characteristics and school level)? We hypothesizedthat teachers self-efficacy would be influenced by teachers stress
(Skaalvik & Skaalvik, 2007) and that teachers job satisfaction
would be influenced by teacher characteristics, teacher stress and
its two sources, and three domains of teachers self-efficacy (e.g.,
Caprara et al., 2003; Liu & Ramsey, 2008).
Method
Participants
The participants were part of a convenience sample of 1,430
practicing teachers (69% women, 31% men) from western Canada.
Teachers reported working in elementary schools (20%; usually
Grades K6), junior high schools (6%; usually Grades 79), high
schools (9%; usually Grades 1012), elementaryjunior high schools
(13%; usually Grades K9), and junior highsenior high schools
(12%; usually Grades 712), as well as other combinations in a mix
of urban (38%), suburban (11%), rural (28%), and other or not
reported (23%) settings. Teachers reported their ethnic heritage as
AngloEuropean Canadian (92%), Asian Canadian (2%), First
Demographics
School
Range of grade
levels
Teacher
Gender
Country of birth
Nationality
Teacher Experience in School
Years of experienceYears in current school
Range of gradelevels taught
by the teacher in this school
Teacher
Job
SatisfactionTeacher Self-efficacy
Classroom management
Instructional Strategies
Student Engagement
Teacher Stress
Classroom stress
Workload stress
Overall stress
Figure 1. Model of hypothetical relationships.
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Nations or Aboriginal Canadians (1%), African (1%), or South
American (1%). Teachers had a mean age of 40.00 years (SD
10.79) and an average of 13.21 years of teaching experience (SD
13.97). The age and experience of teachers in this sample are
consistent with provincial government data showing the median
age of teachers at 4044 years and median years of experience of
1014 years (Alberta Education, 2009).
Procedure
Participants were attendees at one of several annual, compul-
sory, multidistrict teacher conferences, the total attendance of
which was approximately 8,000 teachers from about 350 schools.
Teachers were approached by one of a team of researchers in an
exhibit hall and asked to complete a brief questionnaire titled What
Motivates Teachers? Approximately 2,000 teachers were ap-
proached, and approximately 75% of the teachers completed the
survey. Participants were asked to read the instructions and par-
ticipate only if they were currently teaching in schools (i.e., not
serving as administrators or counselors). Conference organizers
did not permit researchers to request school identities from partic-ipants. (See previous studies for details regarding the procedure
and measures [e.g., Klassen et al., 2009]).
Variables
The survey included (a) a front sheet describing the project and
contact information for the lead researcher and the university
ethics board, (b) a demographics section, and (c) four measures: a
12item teachers self-efficacy scale, a two-item job satisfaction
scale, one item measuring overall job stress, and seven items
measuring sources of job stress (see Appendix Table A8 for the
survey items).
Teachers self-efficacy. Tschannen-Moran and WoolfolkHoy (2001) created and validated the Teachers Self-Efficacy
Scale (TSES). Because it closely aligns with self-efficacy theory,
TSES is superior to previous measures of teacher efficacy
(Woolfolk Hoy & Burke Spero, 2005, p. 354). Researchers have
investigated the TSES short- and long-form measures in a variety
of settings and have found adequate reliability and validity for the
whole scales and their three subscales: self-efficacy for classroom
management, instructional strategies, and student engagement. For
example, Klassen et al. (2009) found reliabilities ranged from .71
to .94 for TSES short-form subscales in five countries and signif-
icant relationships between the TSES subscales and job satisfac-
tion in all settings. Wolters and Daugherty (2007) reported Cron-
bachs alpha coefficients above .80 for the TSES. The TSES long
and short forms are hypothesized to consist of three factors thatmeasure a teachers confidence to manage student behavior in the
classroom (e.g., How much can you do to control disruptive
behavior in the classroom?), to use effective instructional strate-
gies (e.g., How much can you do to craft good questions for
students?), and to engage all students in learning (e.g., How
much can you do to motivate students who show low interest in
school work?). These items show fidelity with self-efficacy the-
ory because they measure teachers beliefs in their capabilities to
carry out particular tasks (e.g., provide an alternative explanation
when students are confused) in a particular context (i.e., the
classroom). Participants in our study responded to the 12-item
TSES short form with a 9-point response scale, anchored by 1
(nothing) and 9 (a great deal).
Job satisfaction and job stress. Job satisfaction was mea-
sured with two items from Caprara et al. (2003) on a 9-point scale.
Items consisted of (a) I am satisfied with what I achieve at work,
and (b) I feel good at work. The measure showed adequate
reliability and validity in Caparara et al.s 2003 study and has beenshown to be related to self-efficacy in previous studies (e.g.,
Klassen et al., 2009). Job stress was measured in two ways. First,
following the approach used in recent studies of teacher stress
(e.g., Boyle et al., 1995; Chaplain, 2008; Manthei, Gilmore, Tuck,
& Adair, 1996), we measured overall job stress with a single item
(I find teaching to be very stressful). Next, we used six items
from Boyle et al.s (1995) Teacher Stress Inventory plus an addi-
tional item, class size, suggested from recent teacher stress re-
search (Gates, 2007), to assess two major contributors of teaching
stressworkload stress and classroom stress from student behav-
ior. Boyle et al. found acceptable levels of reliability and validity
in their 1995 study of teachers in the United Kingdom, and Klassen
(in press) found the that workload stress and stress from student
behavior were inversely related to job satisfaction. The job stressitems were presented with the stem, As a teacher, how great a
source of stress are these factors to you? with responses ranging
from 1 (no stress) to 9 (extreme stress). Items representing sources
of workload stress included too much work to do, having extra
duties/responsibilities because of absent teachers, large class
size, and responsibility for student achievement. Items repre-
senting classroom stress from student behavior included main-
taining class discipline, impolite behavior and rudeness, and
noisy students.
Analysis
We tested the internal validity of the questionnaire items foreach teacher characteristic with factor analyses and minimized
their measurement errors with item response models. To account
for heteroskedasticity and contemporaneous correlation in the er-
rors across equations with multiple outcome variables, we modeled
teachers self-efficacy with a system of equations. Then, we esti-
mated the association of job satisfaction with teacher self-efficacy
and other variables with an ordinary least squares (OLS) regres-
sion. Lastly, we captured all these relationships simultaneously
with a structural equation model (SEM).
Factor analyses and item response models. We used factor
analysis with varimax rotation to test the internal structure of
participant responses to sets of questions regarding teachers self-
efficacy, specifically whether they reflected (a) a single factor, (b)
separate factors, (c) hierarchical factors, (d) nested factors, or (e)no factorsno valid construct(s) (Chow, Chiu, & Wong, in press;
Gustafsson & Balke, 1993). Using Monte Carlo simulation studies,
Hu and Bentler (1999) showed that a combination of the standard-
ized root-mean-square residual (SRMR) and one of the following
indices tends to minimize Type I and Type II errors under many
conditions for both factor analyses and SEMs: TuckerLewis
Index (TLI), incremental fit index (IFI), and root-mean-square
error of approximation (RMSEA). We used the following thresh-
old values to separate good, moderate, and poor fits for each
measure: for SRMR, between .08 and .10 (good fit if less than
.08; moderate fit if between .08 and .10; poor fit if greater than
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.10); for RMSEA, between .06 and .10; for TLI, between .96
and .90; and for IFI, between .96 and .90.
For each construct, we reduced measurement error by modeling
each questionnaire items characteristics by using item response
(IR) models (Baker & Kim, 2004). Some questionnaire items
capture higher levels of teacher self-efficacy more precisely,
whereas others capture lower levels of teacher self-efficacy moreprecisely (item difficulty). Likewise, there is variation in the
precision of each question for distinguishing among teachers with
higher versus lower self-efficacy (discrimination). Each teacher
response ranged from 1 to 9. Hence, we modeled all of these
characteristics with a generalized partial credit response test model
(GPCM-IR, Baker & Kim, 2004).
Pi r e
j1
r
ai bij
1
k1
mi1
e
j1
k
ai bij
(1)
Pi(r ) is the probability that a teacher with underlying value fora specific characteristic will give a rating rfor question i, account-
ing for the discrimination strength (ai) and difficulty (bij) of the
questionnaire item. A simpler partial credit model (PCM-IR) might
fit the data better if discrimination (ai) is identical across items.
Thus, we tested GPCM-IR and PCM-IR models and identified the
best-fitting model with Bayesian expected a posteriori (EAP)
estimation and log-likelihood difference chi-square tests (Bock &
Mislevy, 1982; Kennedy, 2004; Mislevy & Bock, 1990). We
computed each teachers self-efficacy using the best models EAP
estimation, which is more precise than classical statistics methods
(Baker & Kim, 2004).
We repeated this procedure for teachers sources of stress andjob satisfaction. These analyses yielded three teacher self-efficacy
indices (classroom management, instructional strategies, and stu-
dent engagement), two sources of stress indices (workload stress
and classroom stress), and one job satisfaction index.
Explanatory model. After computing the index values for
each teacher, we estimated their relationships with systems of
equations, specifically sequential sets of seemingly unrelated re-
gressions (SUR; Kennedy, 2004) to account for heteroskedasticity
and contemporaneous correlation in the errors across equations via
Eviews software (Lilien, Startz, Ellsworth, Noh, & Engle, 1995).
We entered the variables according to time constraints, expected
causal relationships, and likely importance.
Y iy 0y eiy (2)
0y are the grand mean intercepts of Yiy, a vector of y outcome
variables (classroom management self-efficacy, instructional strat-
egies self-efficacy, and student engagement self-efficacy) for each
teacher i. The residuals are eiy. First, we entered a vector of x
teacher and school background variables: gender, country of birth,
nationality, years of experience, the squared term of years of
experience, range of grade levels in current school, years in current
school, and range of grade levels taught by the teacher in the
current school (X).
Yiy 0y eiy xyXiy (3)
A nested hypothesis test (log likelihood chi-square) indicated
whether each set of explanatory variables was significant
(Kennedy, 2004). Nonsignificant variables were removed.
Then, we entered a vector of z teacher stress variables: class-
room stress, workload stress, and overall teaching stress (Z).
Yiy
0y e
iy
xyX
iy
zyZ
iy(4)
Next, all of these explanatory variables were entered into an
OLS regression with teacher job satisfaction as the outcome vari-
able. The teacher self-efficacy variables were added last.
We used the Sobel (1982) test to identify mediation effects by
testing the hypotheses that the explanatory variables direct and
total effects on the outcome variable do not differ in the presence
of potential mediators. We found that a 10% increase in each
continuous variable above its mean was linked to the outcome
variable (result b 10%; for simple dummy variables: result
b 34%, 1 SD 34%; for contrast-coded dummy variables:
result b 2 34%). As percentage of increase is not linearly
related to standard deviation, scaling is not warranted.
An alpha level of .05 was used. Testing many hypothesesincreases the likelihood that at least one test will incorrectly reject
a null hypothesis (a false positive result). To control for the false
discovery rate, we used the two-stage linear step-up procedure,
which outperformed 13 other methods in computer simulations
(Benjamini, Krieger, & Yekutieli, 2006).
We used an SEM to test these results simultaneously (Jreskog
& Srbom, 2004). As the linear and quadratic terms of years of
experience were highly correlated (r .99), the two variables
were combined into one variable (0.02133 years of experi-
ence2 years of experience) in the SEM to prevent a near-singular
matrix error. Nonsignificant variables were removed to yield the
final SEM.
Results
Test and Summary Statistics
The factor analyses yielded three teacher self-efficacy indices
(classroom management, instructional strategies, and student en-
gagement), two sources of stress indices (classroom stress and
workload stress), and one job satisfaction index. Table 1 presents
means, standard deviations, and reliability coefficients for the
study variables. Factor analysis results generally confirmed the
expected three-factor pattern of the TSES although one item
How much can you do to assist families in helping their children
do well in school?did not load as expected with the efficacy for
student engagement factor and was deleted. The content of thisitem stands alone in the TSES as a measure of teachers efficacy
to influence events outside the classroom and does not appear to
measure the same content as other items in the student engagement
factor. Appendix Tables A1 and A2 present results for eigenvalues
and factor analysis results. The large, dominant first eigenvalue
and explained variance indicate single factors for each set of test
questions. The GPCM-IR model fit the data for each of these
teacher characteristics better than did the PCM-IR model, showing
that the discrimination strength of the questionnaire items differed
(see Appendix Tables A3 and A4 for summary statistics of vari-
ables from item response models; see Appendix Table A4 for
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standard errors of the GPCM-IR teacher characteristics and Ap-
pendix Table A5 for the correlationvariancecovariance matrix).
Explanatory Model
Preliminary analysis using SUR, OLS, and mediation tests
yielded a candidate model that was fit successfully via an SEM
(see Figure 2; for SEM details, see Appendix Tables A6A10,
which show a good fit between the SEM and the data). Detailed
results of the factor analyses, IR models, SUR, and OLS are
available from the authors.
Classroom management self-efficacy. Teachers gender,
years of experience, school type, teaching grade, and sources of
stress were linked to their classroom management self-efficacy
(Figure 2). Compared with female teachers, male teachers aver-
aged 5% better classroom management self-efficacy, 5%
0.16 34% (see previous analysis section on percentage in-
crease). As shown in Figure 3, years of experience has nonmono-
tonic relationships with all teacher self-efficacies; on average,
classroom management self-efficacy increases from 0 years of
experience to about 23 years of experience and falls afterwards. At
the peak, teachers with 23 years of experience averaged 76%
greater classroom management self-efficacy than that of newteachers, 76% 0.19 (0.02133 232 23) 34% (see
Appendix Table A6 and the discussion of SEM in the previous
analysis section).
Teachers working in elementary schools averaged 7% better
classroom management self-efficacy than those in schools in
which one or more sets of grade levels (elementary, junior high
school, and senior high school) were combined, 7% 0.10
2 34%. Furthermore, teachers who taught kindergarten students
Table 1
Means and Standard Deviations for Study Variables
Variables Item mean Scale range Scale mean Scale SD
Classroom management self-efficacy (four items) 7.56 1036 30.25 3.94 .85Instructional strategies self-efficacy (four items) 7.55 1136 30.21 4.32 .76
Student engagement self-efficacy (three items) 6.87 727 20.61 3.44 .82Job satisfaction (two items) 7.30 218 14.60 2.68 .84Workload stress (four items) 5.82 436 23.26 6.50 .68Classroom stress (three items) 5.40 327 15.12 5.46 .84Overall stress (one item) 6.81 19 6.81 2.05
Note. N 1,430. Student engagement self-efficacy was three items.
Job
Satisfaction
+0.26
Classroom
management
Self-Efficacy
Workload
stress
Student
Engagement
Self-Efficacy
Years of
experience
Classroom
stress
Female
Teacher
Other Schools
(vs. Elementary)
Teaching
1st
or 2nd
grade
(vs. Kindergarten)
+ (non-monotonic)
0.10
0.16
0.05
+0.16+0.37
+0.24
0.24
+ (non-monotonic)
0.21
0.25
0.25
0.52
Teachingother grades
(vs.
Kindergarten) 0.09
0.12
+0.29
+0.56
+0.16
School
combinations(vs. Elementary)
+ (non-monotonic)
Instructional
Strategies
Self-Efficacy
Overall
Teaching
stress
Figure 2. Structural equation model for teachers self-efficacies and job satisfaction with their explanatory
variables. Teacher demographics and school characteristics are all exogenous variables, and other variables are
endogenous variables. Ovals indicate latent variables, and rectangles indicate single variables. Questionnaire
items for each latent variable are not shown. For the quadratic relationship between years of experience and the
three teacher self-efficacy variables, see Figure 3.
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averaged 3% better classroom management self-efficacy than
those who taught Grade 1 or 2 students, 3% 0.05 2 34%.
The links of workload stress and classroom stress to classroom
management self-efficacy differed substantially. Teachers whoseworkload stress exceeded the mean by 10% averaged 2% better
classroom management self-efficacy, 2% 0.16 10%. In con-
trast, teachers whose classroom stress exceeded the mean by 10%
averaged 5% worse classroom management self-efficacy, 5%
0.52 10%. These variables accounted for 25% of the variance in
teachers classroom management self-efficacy (see Appendix Ta-
ble A6, squared multiple correlations).
Instructional strategies self-efficacy. Teachers years of ex-
perience and classroom stress were linked to their instructional
strategies self-efficacy, showing a nonmonotonic relationship with
an increase in instructional strategies self-efficacy up to about 23
years of experience and then falling. The instructional strategies
self-efficacy of teachers with 23 years of experience averaged 88%greater than that of new teachers, 88% 0.22 (0.02133
232 23) 34% (see Table A6 and discussion of SEM in the
preceding analysis section). When their classroom stress exceeded
the mean by 10%, teachers averaged 3% less instructional strate-
gies self-efficacy, 3% 0.25 10%. These variables accounted
for 11% of the variance in teachers instructional strategies self-
efficacy.
Student engagement self-efficacy. Teachers years of expe-
rience, school type, teaching grade, and classroom stress were
linked to student engagement self-efficacy, which again showed a
nonmonotonic relationship with increasing self-efficacy up to mid-
career and then falling in late career. The student engagement
self-efficacy of teachers with 23 years of experience averaged 68%
greater than that of new teachers, 68% 0.17 (0.02133232 23) 34% (see Table A6 and discussion of SEM in the
preceding analysis section). Teachers working in elementary
schools averaged 8% more student engagement self-efficacy than
those working in other types of schools, 8% 0.12 34%.
Furthermore, teachers who taught kindergarten students averaged
6% more student engagement self-efficacy than those who taught
students in higher grades, 6% 0.09 34%. When their classroom
stress exceeded the mean by 10%, teachers averaged 3% less
student engagement self-efficacy, 3% 0.25 10%. These vari-
ables accounted for 12% of the variance in teachers student
engagement self-efficacy.
Job satisfaction. Teachers overall teaching stress and self-
efficacies were linked to job satisfaction. Teachers with 10%
greater overall teaching stress averaged 2% less job satisfaction,
2% 0.21 10%. Meanwhile, teachers with 10% more classroom
management self-efficacy or 10% more instructional strategies
self-efficacy averaged 3% more job satisfaction, 3% 0.26
10%; 3% 0.29 10%. These variables accounted for 31% of the
variance in teachers job satisfaction.
Stress and gender. Teachers with 10% more workload stress
had 6% more overall teaching stress, 6% 0.56 10%. Workload
stress accounted for 31% of the variance in teachers overall
teaching stress. Teachers gender was linked to sources of stress.
Female teachers averaged 13% more workload stress and 8% more
classroom stress than male teachers, 13% 0.37 .34; 8%
0.24 .34. Gender accounted for 3% and 1% of the variances in
workload stress and classroom stress, respectively.
Discussion
In this study, we modeled the relationships among teacher
characteristics, years of experience, three forms of teachers self-
efficacy, job stress, and job satisfaction. The factor analysis con-
firmed the expected factor pattern, and the SEM yielded by the
SUR, OLS, and mediation tests fit the data well, with teachers
self-efficacy for instructional strategies and classroom manage-
ment positively influencing job satisfaction, whereas overall job
stress lowered job satisfaction.
The results show how self-efficacy varies with years of
teachers experience. Furthermore, the results show how teach-ers self-efficacies mediate the links between two types of stress
on job satisfaction. Female teachers had higher levels of both
classroom and workload stress. Similar to previous findings,
our results show that years of experience and job-related stress
were related to teachers self-efficacy, which in turn influenced
job satisfaction. The key new finding in the study was that
teachers self-efficacy was influenced by years of experience
in a nonlinear relationship, with the three factors of teacher
efficacy increasing with experience for early and mid-career
stage teachers and declining for teachers in the late career
stages.
Figure 3. Relationship of years of experience with three teacher self-efficacy variables (teaching strategies,
classroom management, and student engagement) based on the structural equation model results.
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Teachers Self-Efficacy
Teachers self-efficacy showed a nonlinear relationship with
years of teaching experience; self-efficacy increased from 0 to
about 23 years of experience and then declined as years of expe-
rience increased. Our results show that this relationship held true
for each of the three factors of teachers self-efficacy, reflecting arelationship that has not been noted in previous research on teach-
ers self-efficacy. Teachers confidence in engaging students, man-
aging student behavior, and using effective instructional strategies
showed the same pattern of growth and gradual decline. Whereas
previous researchers have noted that self-efficacy increases with
teachers experience (e.g., Wolters & Daugherty, 2007), the rela-
tionship between teachers experience and self-efficacy may be
more complex than previously believed. Bandura (1997) proposed
that self-efficacy beliefs remain relatively stable once established,
and although this stability may be true within a specific career
stage, the results from our study suggest that teachers gain confi-
dence in their teaching skills through their early years and into the
mid-career years but that these levels of confidence may decline as
teachers enter the later stages of their careers.The career stages outlined by Huberman (1989) in his study of
the professional life cycle of teachers map well on to the patterns
of teachers self-efficacy found in the current study. According to
Huberman, teachers undergo a process ofsurvival and discovery in
the early career years, during which the gulf between professional
ideals and daily classroom life is exposed, and self-doubts and
initial enthusiasm are entwined. About 46 years into their ca-
reers, teachers enter a period of stabilization, marked by a defin-
itive commitment to the profession (or the choice to leave the
profession). The mid-career years (718) are marked by periods of
experimentation and activism or by a period of reassessment,
during which teachers take stock of their careers and question their
career choices. Huberman suggested two phases during the later-career years. During Years 1930, teachers experience a period of
serenity, during which a gradual loss in energy and enthusiasm is
compensated for by a greater sense of confidence and self-
acceptance (p. 35, italics ours). Finally, teachers in the late-career
stage (Years 3140) move into a period of disengagement, marked
either by serenity or disappointment and bitterness. Our finding of
teachers self-efficacy peaking at about 23 years of experience and
then declining in the later-career years corresponds with the mo-
tivation pattern suggested by Huberman. More recent studies have
built on Hubermans work, with Day and Gu (2007) finding that
most teachers in mid-career (i.e., Years 823) experience increases
in motivation and commitment, whereas increased proportions of
teachers in the later stage of their career stage (24 years of
experience) report declining motivation.Authors of previous studies outside education have noted this
decline in work motivation in the late-career stages. A recent study
by Kooij et al. (2008) examined research on work motivation and
aging and found that many age-related factors (i.e., chronological
age, physical health, self-perception, social perception, skill obso-
lescence, and life stage) had a negative impact on the motivation
beliefs of older workers. In addition, Kooij et al. found that work
motivation was influenced by an interaction of age-related factors.
For instance, declining health may be related to a deterioration of
self-concept or changes in weighting of work- and leisure-related
values, but stereotyped perceptions of peers also influence work-
ers motivation and result in reduced skills, motivation, and op-
portunities for promotion. The lower levels of older teachers
self-efficacy beliefs may be influenced not only by biological and
psychological changes related to chronological age but also by
student and peer perceptions of declining competence influenced
by stereotyped beliefs about aging. In sum, age-related changes in
motivation beliefs, like self-efficacy, are influenced not only bychronological age but by the psychosocial context of the work
environment.
The contexts in which the teachers worked were also linked with
their self-efficacy. Teaching in elementary schools and teaching kin-
dergarten were linked with higher levels of self-efficacy for classroom
management and student engagement. There has been surprisingly
little research on how teaching context influences teachers self-
efficacy. Wolters and Daugherty (2007) found that teachers in higher
grade levels reported lower self-efficacy than teachers in lower grade
levels and that the inverse relationship between teaching level and
self-efficacy was especially marked for teachers of elementary-
school-aged students in comparison to teachers of middle- and high-
school-aged students. Our study also found that teachers in higher
grade levels had lower self-efficacy, but the pattern of grade-level-dependent self-efficacy was also found within teaching levels, at
least in the early elementary school grades. Teachers of the young-
est students had higher levels of self-efficacy than teachers of older
students within elementary schools, and this result was observed
for teachers self-efficacy for classroom management and student
engagement, although not for instructional strategies. Together,
these combined results suggest that variation of teachers self-
efficacy associated with teaching level can also occur within a
school.
Teachers Stress and Job Satisfaction
Teachers with higher overall teaching stress had lower jobsatisfaction, whereas classroom stress was indirectly linked to job
satisfaction through self-efficacy for classroom management and
instructional strategies. We predicted workload and classroom
stress to be negatively linked with self-efficacy. As expected,
teachers with greater classroom stress had less self-efficacy in all
three factors, especially classroom management self-efficacy.
Teachers who perceived higher levels of classroom stress from
student misbehavior reported lower levels of self-efficacy for
classroom management. Likewise, teachers reporting greater
workload stress had greater overall stress. However, teachers re-
porting more workload stress had greater classroom management
self-efficacy (with no significant differences in the other two
self-efficacy factors). It may be that teachers who experience
higher levels of classroom stress from student misbehavior (i.e.,from noisy and impolite behavior) have lower confidence to man-
age that behavior due to a history of unsuccessful experiences. In
contrast, it may be that teachers who perceive greater stress from
responsibility for student achievement and heavy workloads exert
more effort during lesson planning and are better prepared to
manage student behaviors during class.
Female teachers had higher levels of workload and classroom
stress. A growing number of researchers have noted the link
between gender and work-related stress. For example, Antoniou et
al. (2006) found that female teachers experienced higher levels of
work-related stress compared with male teachers, particularly for
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classroom and workload factors. Our results are consistent with
those of previous studies showing modest but persistent gender
differences in job stress among teachers (e.g., Antoniou et al.,
2006; Chaplain, 2008). Greenglass and Burke (2003) proposed that
the elevated work stress of females might stem from gender
differences in nonwork domains, with higher total workload
(school tasks plus domestic tasks) and higher role conflict betweenwork and family roles. These previous findings do not explain
female teachers higher levels of stress from student behavior.
Hopf and Hatzichristou (1999) found female teachers to be more
sensitive to externalizing behavior problems, especially from ad-
olescent male students, and also found male teachers assessed
childrens interpersonal behaviors as less problematic than did
female teachers. Findings of gender differences in teacher stress
bear further research.
Results from the current study reinforce previous findings that
teacher self-efficacy is linked with job satisfaction. Teachers with
high levels of self-efficacy for classroom management and instruc-
tional strategies reported higher levels of job satisfaction, whereas
teachers with high levels of overall stress reported lowered job
satisfaction. Caprara et al. (2006) found that Italian teachersself-efficacy was linked to their job satisfaction, although their
conceptualization of self-efficacy was less specific than the
Tschannen-Moran and Woolfolk Hoy (2001) measure used in this
study. In particular, Bandura (1997) and others (e.g., Pajares,
1996) have argued that more specific judgments of self-efficacy
provide more information about how the construct influences
beliefs and related behaviors. In the current study, we found
teachers self-efficacies for classroom management and instruc-
tional strategies were directly related to job satisfaction, whereas
self-efficacy for student engagement did not play a direct role. It
appears that not all facets of teachers self-efficacy are linked to
job satisfaction in the same way.
Limitations and Future Research
Future researchers can replicate the model of teacher motivation
presented in this article, with the addition of factors such as
students socioeconomic status and teachers collective efficacy to
help account for more job satisfaction variance. The effect of
whole-school motivation, or collective efficacy, has been shown to
influence the individual job satisfaction experienced by teachers
(e.g., Caprara et al., 2003; Klassen et al., in press). The role of
teachers self-efficacy in relation to job stress and job satisfaction
may vary as a function of cultural context, and additional research
examining the relationships among the study variables should be
conducted in contrasting cultural settings.
Our research provides new insight into the pattern of change inteachers self-efficacy beliefs, but stronger claims about the de-
velopment of teachers self-efficacy could be made through lon-
gitudinal studies. As noted earlier, some studies of teachers self-
efficacy during the early career years (e.g., Woolfolk Hoy & Burke
Spero, 2005) have been performed, but to our knowledge, no one
has conducted a longitudinal study using the most recent, concep-
tually sound measures of teachers self-efficacy. Conducting lon-
gitudinal research of teachers motivation beliefs presents a host of
practical challenges not found in cross-sectional research, but
findings from longitudinal studies can inform our understanding of
how motivation beliefs develop over the career. In related fashion,
our findings about the apparent changes in teachers self-efficacy
in the late-career stages lead us to propose that future studies
should be focused on middle and late-career stage teachers mo-
tivation beliefs, an area that has been neglected despite the large
number of teachers who are past the first decade of their teaching
careers.
Several data limitations hamper the generalizability of our re-sults. Additional indicators of teachers success and functioning
not included in our model may influence job satisfaction. Also, the
measure of overall job stress consisted of only a single item, and
job satisfaction was measured by two items. However, results of
recent studies have supported the inclusion of single-item mea-
sures of job-related beliefs (e.g., Dolbier, Webster, McCalister,
Mallon, & Steinhardt, 2005; Nagy, 2002) because of high levels of
face validity and convenience for data collection in busy work-
place settings, and investigators in many previous studies have
measured job stress using one item (e.g., Boyle et al., 1995;
Chaplain, 2008; Manthei et al., 1996). We did not measure the
longitudinal development of teachers self-efficacy, and readers
should not infer from our results that the pattern of rise and fall of
self-efficacy holds true for individual teachers over the career
span. The results from the current research are prone to the
limitations emerging from our reliance on a common method to
assess each variable. Lastly, the sample was restricted to Canadian
teachers in one province, and although teachers came from a wide
variety of schools, the sample was not randomized, and partici-
pants in this study may not be representative of other groups of
teachers in different settings.
Practical Implications and Conclusion
Considerable research has examined the development of teacher
motivation beliefs at the beginning stages of teachers careers, but
the teaching workforce in many settings is decidedly graying, with
more teachers at the mid- or late-career stages than at the
beginning-career stage (U.S. Department of Education, 2009).
Building an understanding of the motivation profiles of teachers
across the career span makes sense because of the number of mid-
and late-career teachers and because teachers motivation profiles
and willingness to engage in new practices varies according to
career stage (Drake, 2002). A teachers skills, knowledge, and
effectiveness may change over time without a continuous and
focused effort to build those skills and knowledge on the part of
the teacher, school district officials, and school administrators
(Drake, 2002). One-size-fits-all professional development that
aims to build the skills and knowledge of new, mid-career, and the
most experienced teachers may not be optimally effective. Forexample, Greller (2006) suggested that older workers professional
development needs shift from learning general skills to learning
specific skills. Older workers seek professional development op-
portunities that offer greater autonomy in content, learning pace,
and learning environment (Greller, 2006). Professional develop-
ment programs that are tailored to teachers career stages may
enhance skills and knowledge but also boost the confidence that
teachers at a later career stage have in their capabilities to teach
effectively. Using professional development opportunities to boost
skills and teachers self-efficacy may lower job stress and enhance
satisfaction from teaching.
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Our study extends teacher motivation research by showing how
teachers years of experience, gender, and three domains of self-
efficacy (student engagement, instructional strategies, and class-
room management) were related to their job stress (workload and
classroom stress) and job satisfaction. Building on previous re-
search showing that teacher self-efficacy often increases in the
early stages of teachers careers, we found that early- to mid-careerteachers reported progressively greater self-efficacies in these
three areas, while late-career teachers reported less self-efficacy in
each area. Female teachers had greater stress (from both workload
and student behaviors during class) and lower self-efficacy for
classroom management. Teaching younger children (in elementary
grades and kindergarten) was linked with higher levels of self-
efficacy for classroom management and student engagement. Fi-
nally, the impact of classroom and workload stress on job satis-
faction was mediated by teachers self-efficacy.
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Appendix
Ancillary Tables and Results
Table A1
Eigenvalues Showing Single Dominant Factors in Each Set of Test Questions
Factor
Eigenvalues % of variance explained by
1st 2nd 3rd 1st/2nd 2nd/3rd 1st eigenvalue 2nd eigenvalue
Classroom management self-efficacy 2.76 0.45 0.41 6.13 1.10 69 11Instructional strategies self-efficacy 2.39 0.62 0.54 3.85 1.14 60 16Student engagement self-efficacy 2.22 0.46 0.33 4.86 1.39 74 15Workload stress 2.24 0.45 0.31 4.93 1.46 75 15Classroom stress 2.06 0.75 0.67 2.74 1.13 52 19
Note. The factor of job satisfaction only two variables; polychoric correlation 0.729.
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Table A2
Three-Factor and Two-Factor Structures Best Fit Responses to Teacher Self-Efficacy and Teacher Stress
Questions as Shown by Goodness-of-Fit Measures (Varimax Rotation)
Goodness-of-fit measure
Factor structure
Three Two Hierarchical Nested Single
Teacher self-efficacyStandardized root mean residual 0.041 0.066 0.114 0.137Comparative fit index 0.957 0.901 0.924 0.540Incremental fit index 0.957 0.901 0.924 0.541TuckerLewis index 0.933 0.871 0.901 0.438Root-mean-squared error of
approximation 0.053 0.074 0.091 0.175Chi-square test 208 409 674 1,334Degrees of freedom 41 41 33 44
p 0.000 0.000 0.000 0.000Adjusted goodness-of-fit index 0.946 0.903 0.639 0.626Relative fit index 0.924 0.863 0.892 0.433
Teacher stressStandardized root mean residual 0.015 0.068 0.075 0.068Comparative fit index 0.990 0.881 0.814 0.749Incremental fit index 0.992 0.882 0.815 0.751TuckerLewis index 0.976 0.825 0.740 0.610Root-mean-squared error of
approximation 0.046 0.138 0.163 0.053Chi-square test 41 322 405 961Degrees of freedom 13 12 7 14
p 0.000 0.000 0.000 0.000Adjusted goodness-of-fit index 0.971 0.808 0.745 0.797Relative fit index 0.971 0.821 0.736 0.607
Table A3a
Summary Statistics of Variables and of Item Response Models
Variable Mean SD Min Median Max
GPCM vs. PCMIRT
df LL 2
Classroom management self-efficacy 0.08 0.93 3.39 0.13 1.75 4 57.06Instructional strategies self-efficacy 0.03 0.88 2.99 0.03 1.69 4 460.08Student engagement self-efficacy 0.00 0.93 3.03 0.00 1.90 3 121.12Job satisfaction 0.03 0.91 2.87 0.08 1.50 3 61.61Female 0.70 0 1 1Years of experience 13.21 9.97 0 10 43School grade range
School combinations(vs. elementary) 1 1 1
Other (vs. elementary) 1 1 1Teaching Grade 1 or 2 (vs. K) 1 0 1Teaching other grades (vs. K) 1 1 1Workload stress 0.01 0.82 2.31 0.02 1.93 9 1865.20
Classroom stress 0.00 0.92 2.22 0.01 2.25 3 233.77Overall stress 6.81 2.06 1 7 9
Note. Values created from responses to sets of questions with item response model comparison tests, showing that thegeneralized partial credit models (GPCM) fit the data better than the partial credit models (PCM). IRT item responsetests; LL 2 log-likelihood difference chi-square test; K kindergarten.
p .001.
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Table A3b
Percentage of Teachers by School Level
Variable ElementaryHigh
schoolJuniorhigh
Elementary/juniorhigh
Junior high/highschool
Elementary/juniorhigh/high school
School grade range 20 20 10 26 15 9
Table A3c
Percentage of Teachers by Grade Level
Variable K 12 34 56 79 1012HeadStart
Multiplegrades
Teaching grade 3 7 7 13 19 20 0.3 29
Table A3d
Percentage of Responses for Job Stress Scale
Variable
Teaching grade
1 2 3 4 5 6 7 8 9
Overall teaching stress 2 2 5 6 8 11 23 17 26
Note. Scale ranges from 1 (no stress) to 9 (extreme stress).
Table A4
Standard Errors of Each Teacher Property at 2nd, 16th, 50th, 84th, and 98th Percentiles, Showing
Greater Standard Errors at Higher Percentiles
Teacher property
Standard errors at each percentile
2nd 16th 50th 84th 98th
Job satisfaction 0.07 0.10 0.14 0.45 1.16Classroom management 0.12 0.15 0.25 0.56 0.93Instructional strategies 0.19 0.26 0.41 0.77 1.11Student engagement 0.09 0.12 0.12 0.42 0.96Workload stress 0.21 0.23 0.42 0.72 1.00Classroom stress 0.10 0.10 0.19 0.44 0.98
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Table A5
Correlations (Lower Left Triangle), Variances (Diagonal), and Covariances (Upper Right Triangle)
Variable 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1. Classroom management self-efficacy 0.86 0.41 0.44 0.03 1.47 36.66 0.07 0.05 0.02 0.01 0.07 0.32 0.25 0.412. Instructional strategies self-efficacy 0.50 0.78 0.44 0.01 1.82 54.85 0.02 0.02 0.02 0.00 0.05 0.18 0.07 0.32
3. Student engagement self-efficacy 0.51 0.36 0.87 0.02 1.39 37.50 0.07 0.10 0.02 0.04 0.08 0.17 0.23 0.404. Female gender 0.07 0.21 0.05 0.21 0.27 10.24 0.06 0.06 0.01 0.02 0.05 0.04 0.12 0.055. Years of experience 0.16 0.19 0.15 0.06 99.43 3206 0.42 0.65 0.09 0.00 0.13 0.08 0.65 0.146. Years of experience squared 0.12 0.03 0.12 0.07 0.96 112,464 12.76 17.19 2.66 0.08 1.81 1.67 13.37 0.147. School grade range: School
combinations (vs. elementary) 00.10 0.03 0.10 0.18 0.05 0.05 0.61 0.52 0.01 0.04 0.05 0.00 0.08 0.088. School grade range: Other (vs.
elementary) 00.07 0.05 0.13 0.15 0.08 0.06 0.83 0.64 0.01 0.05 0.02 0.02 0.10 0.079. Teaching Grade 1 or 2 (vs. K) 00.06 0.01 0.05 0.06 0.03 0.02 0.05 0.04 0.11 0.07 0.01 0.01 0.04 0.00
10. Teaching other grades (vs. K) 00.02 0.07 0.11 0.10 0.00 0.00 0.15 0.15 0.60 0.14 0.01 0.00 0.01 0.0111. Workload stress 00.10 0.21 0.10 0.13 0.02 0.01 0.08 0.03 0.03 0.02 0.68 0.34 0.73 0.2112. Classroom stress 00.38 0.04 0.20 0.10 0.01 0.01 0.00 0.02 0.02 0.00 0.45 0.85 0.58 0.2613. Overall stress 00.13 0.25 0.12 0.13 0.03 0.02 0.05 0.06 0.06 0.02 0.43 0.31 4.22 0.2614. Job satisfaction 0.34 0.34 0.02 1.24 42.01 0.06 0.05 0.00 0.00 0.16 0.22 0.48 0.82
Note. K kindergarten.
Table A6
Total Effect and Indirect Effect of Each Independent Variable on Each Dependent Variable
Independent variable
Dependent variable
Teaching othergrades (vs. K)
Stress Self-efficacy
JobsatisfactionWorkload Classroom Overall
Classroommanagement
Instructionalstrategies
Studentengagement
Female genderTotal effect 0.24 0.37 0.24 0.21 0.10 0.06 0.02 0.10Indirect effect 0.21 0.06 0.06 0.02 0.10
Years of experience quadratic termTotal effect 0.19 0.22 0.17 0.11
Indirect effect 0.11School grade range
School combinations vs. elementaryTotal effect 0.1 0.03Indirect effect 0.03
Other vs. elementaryTotal effect 0.16 0.11Indirect effect 0.01
Teaching Grade 1 or 2 vs. KTotal effect 0.05 0.01Indirect effect 0.01
Teaching other grades vs. K (total effect) 0.09Workload stress
Total effect 0.56 0.16 0.08Indirect effect 0.08
Classroom stress
Total effect 0.52 0.25 0.25 0.21Indirect effect 0.21Overall stress (total effect) 0.21Classroom management self-efficacy 0.26Instructional strategies self-efficacy 0.29
Squared multiple correlations 0.04 0.03 0.01 0.31 0.25 0.11 0.12 0.31
Note. Blanks indicate no total or no indirect effects. K kindergarten.
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Table A7
Completely Standardized Solution of Structural Equation Model: Psi Matrix
Variable 1 2 3 4 5 6 7 8 9 10 11
1. Job satisfaction 0.692. Classroom management self-efficacy 0.75
3. Instructional strategies self-efficacy 0.48 0.89 0.454. Student engagement self-efficacy 0.46 0.885. School grade range: School combinations (vs. elementary) 1.006. School grade range: Other (vs. elementary) 0.83 1.007. Teaching Grade 1 or 2 (vs. K) 1.008. Teaching other grades (vs. K) 0.61 0.969. Workload stress 0.97
10. Classroom stress 0.59 0.9911. Overall stress 0.69
Note. K kindergarten.p .001.
Table A8
Completely Standardized Solution of Structural Equation Model: Lambda-Y Matrix
Survey item
Factor
Jobsatisfaction
Self-efficacy Stress
Classroommanagement
Studentengagement
Instructionalstrategies Workload Classroom
I am satisfied with what I achieve at work. 0.85a
I feel good at work. 0.85How much can you do to control disruptive behavior in the
classroom? 0.75a
How much can you do to get children to follow classroom rules? 0.78How much can you do to calm a student who is disruptive or noisy? 0.75How much can you do to establish a classroom management system
with each group of students? 0.80How much can you do to craft good questions for students? 0.60a
How much can you do to implement a variety of assessmentstrategies? 0.70
How much can you do to provide an alternative explanation whenstudents are confused? 0.66
How much can you do to implement alternative strategies in yourclassroom? 0.73
How much can you do to motivate students who show low interestin school work? .78a
How much can you do to get students to believe they can do well inschool work? .84
How much can you do to help students to value learning? .74How great a source of stress is having too much work to do? 0.66a
How great a source of stress is having extra duties/responsibilitiesbecause of absent teachers? 0.55
How great a source of stress is having a large class size? 0.54How great a source of stress is being responsible for students
achievement? 0.60How great a source of stress is having noisy students? 0.70a
How great a source of stress is maintaining class discipline? 0.90How great a source of stress is dealing with students impolite
behavior or rudeness? 0.80
a The first lambda-Y estimates of each latent variable is fixed by default.p .001.
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Table A9
Structural Equation Model Showing a Good Fit With the Data
Measure Result
Standardized root mean residual (SRMR) .039Root-mean-squared error of approximation (RMSEA) .041
TuckerLewis index (TLI) .967Incremental fit index (IFI) .971Comparative fit index (CFI) .9712(305), p .000 1068.00Adjusted goodness of fit index .937Relative fit index .954
Note. Threshold values separate good, moderate, and poor fits for each measure: for SRMR, good fit .08 moderate fit .10 poor fit; for RMSEA, between .06 and .10; for TLI, between .96 and .90; for IFI, between .96 and .90. Othermeasures are also included for reader interest.
Table A10
Sobel Mediation Tests for the Outcome Variable Job Satisfaction
Initial variable3Mediator % change z
Years of experience quadratic term3Class management self-efficacy 20 2.039School combinations (vs. elementary)3Class management self-efficacy 19 2.638Teaching Grade 1 or 2 (vs. K)3Class management self-efficacy 13 2.225Workload stress3Class management self-efficacy 20 3.285Classroom stress3Class management self-efficacy 13 4.212Workload stress3Overall stress 10 2.678Years of experience quadratic term3Instructional strategies self-efficacy 13 1.986Classroom stress3Instructional strategies self-efficacy 21 3.795
p .05. p .01. p .001.
Received March 11, 2009
Revision received January 26, 2010
Accepted January 27, 2010
756 KLASSEN AND CHIU