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Burnout, Job Satisfaction, and Job Performance
Mary Randall Phillip Health Centre
and William A Scott Australian National University
Abstract: Job “burnout” is often used in ways not well distinguished from older concepts, such
as job dissatisfaction and poor performance. An attempt was made to distinguish the three
notions, both theoretically and operationally, and to investigate their presumably distinctive
correlates in two samples of employees 248 nurses (professional sample) and 108 service
employees (non-professional). In both samples the three measures were intercorrelated, but
burnout could be distinguished from subjective incompetence in that the latter state waq found
most commonly among employees ofjunior status. In the professional sample, but not in the
non-professional sample, burnout could barely be distinguished from job dissatisfaction, in that
the latter state was somewhat less associated with the personality characteristics of “striver/
achiever” (a component of “Type A personality”) and commitment to life (a component of
“hardiness?. Nevertheless, more theoretical and operational attention are needed if clear
distinctions among these three reactions to employment are to be made.
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In much of the current literature, the concept of burnout, its causes, and
prevention are discussed without attempting a clear definition, or distinction
from other reactions to the job, such as dissatisfaction and poor performance.
In the research to be presented here, an attempt was made to define burnout,
both conceptually and operationally, as distinct from job dissatisfaction and
poor subjective performance. Then correlates of the three variables were
compared to see if they corresponded to theoretically meaningful distinctions.
Conceptions
Burnout
Burnout is defined, Following Maslach and Jackson (1981) and Meier
( 1 983), as “feelings and attitudes of a worker involving a combination of ( 1 )
emotional exhaustion and desire to withdraw from others and work; (2)
depersonalisation and negative attitudes to clients and other staff; (3)
dissatisfaction with personal accomplishments on the job and negative
Requests for reprints should be sent to Professor W. A. Scott, Department of Psychology,
Australian National University, PO Box 4, Canberra, A.C.T. 2601.
Australian Psychologist Vol. 23 No. 3, November 1988
335
336
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Burnout, Job Satisfaction and Job Performance
self-evaluation; and (4) lack of expected reward and recognition on the job.”
Some authors (such as Jones, 1982) include behavioural attributes in
definitions of burnout, but it appears more reasonable to measure such
aspects in a performance inventory rather than a burnout scale, as burnout
has traditionally been associated with a state of mind which may contribute
to poor performance.
Although sources of burnout have not been clearly indicated from
research to date, two alternative explanations have been proposed. The first
is that burnout arises due to “depletion of personal resourcefulness,
flexibility and positive energy” (Carmichael, 1979). This interpretation
assumes initial competence of the employee, and gradual decline in morale
and performance, with concurrent increase in feelings of burnout. Alternatively, burnout may arise due to an early criris of competence. The latter
possibility was proposed by Cherniss (1980), who argued that new
employees in the helping professions, while holding the necessary qualifications, lack the coping skills, insight and resources which are gained
through experience on the job. This interpretation would predict feelings of
burnout over the initial period of work, which diminish with time in the job.
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Job Dissat isfact ion
Dissatisfaction with one’s job, though presumably a consequence or
concomitant of burnout, is more focused on the job than on the self. A
dissatisfied employee does not like the job, whereas a “burned out”emp1oyee
feels incapable of performing it adequately. Sources of job dissatisfaction
include a great many jobJrelated characteristics independent of the incumbent’s morale and subjective competence - such as pay, supervisory
practices, and congeniality of colleagues. It is expected, therefore, that:
Hypothesis I : Job dissatisfaction is associated predominantly with
judged negative characteristics of the job, whereas burnout is associated
both with these and with reported characteristics of the self.
Performance
Poor performance on the job refers to an external standard which the
incumbent fails to meet. The employee’s own judgment, though vulnerable
to influence from personal and situational factors, is mainly focused on a
discrepancy from standard that is discernible to colleagues and supervisors
as well. Performance has, thus, a more objective, consensually shared
referent than burnout and dissatisfaction. It is therefore expected that:
Hypothesis 2: Employees’ negative judgments of their own job performance are less related than job dissatisfaction and burnout to
characteristics of the person and job; more related to their own
inexperience and low status in the organisation and to their supervisors’
negative appraisals of the employees’job performance.
Correlates of Burnout
While no previous study has investigated distinctive correlates of burnout
(i.e., correlates different from those of dissatisfaction and poor per-
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Burnout, Job Satisfaction and Job Performance 337
formance), a number of recent findings pertain to employees identified only
as “burned out”; not all of them are mutually consistent, however; nor do
they uniformly support the predictions made above. Studies by Maslach and
Jackson (198 I), Schwab and lwanicki (1982), and Weinberg, Edwards and
Garove ( 1983) found higher-than-average rates of burnout among young,
single employees. Although consistent with the second interpretation of
“burnout” (see above) as reflecting a crisis of competence, this fails to
distinguish “burnout” from felt incompetence, for which no new label is
required.
Berkeley Planning Associates( 1977) reported burnout relatively frequently
in high-status positions, such as professional and managerial staff of childcare facilities. Direct service providers and agency directors experienced less
burnout. (The scale used in this study was named alienation, although its
constituents were almost identical to those of burnout.) In contrast,
Weinberg et al. (1983), using a burnout inventory, found no systematic
difference in amount of burnout among administrators, professionals and
directcare personnel in I4 residential settings for the developmentally
disabled. Similarly, Riggar, Harrington Godley, and Hafer( 1984) found no
significant differences in burnout between rehabilitation administrators and
direct-service providers in 155 respondents. The different clientele or the
different location of high status workers in the first study may account for its
atypical findings. Maslach and Jackson (1982) reported burnout in
conjunction with certain kinds of job stress produced by relations with
clients or inadequate feedback on their work, while Berkeley Planning
Associates (1977) claimed a connection with felt lack of support on the job.
As these characteristics of the job were judged by the respondingemployees,
rather than independently assessed, there is some ambiguity about the
direction of effect. They would appear even more germane to job
dissatisfaction than to burnout.
According to Hypothesis I , the major distinctive correlates of burnout
should be characteristics of the self, such as personal hardiness (Kobasa,
1979; Kobasa, Maddi & Kahn, 1982). Hardiness consists of several
components: (a) internal locus of control; (b) commitment to life, or the
ability to feel deeply involved in one’s activities; (c) challenge, that is, the
anticipation of challenges as exciting rather than as threats to security; this
involves flexibility and adaptability. Following Hypothesis I , burnout
would be associated with lack of hardiness. In addition, following
Hypothesis I , it was expected that “Type A”personality, reflecting a striverachiever disposition (Caplan, Cobb, French, Van Harrison & Pinneau,
1975)would be distinctively associated with burnout, under the assumption
(Carver & Humphries, 1982) that such people become socially isolated
through their obsession with work, and are less able to tolerate job-related
frustrations. This prediction is most pertinent to a “depletion-of-resources’:
view of burnout, whereas the predicted negative correlation with hardiness is
consistent with either interpretation presented above.
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338 Burnout, Job Satisfaction and Joh Performance
Method
Subjects
As there is some question whether burnout appears mainly among helping
professionals, or is equally prevalent among other service employees
(Cherniss, 1980; Edelwich & Brodsky, 1980; Ford, Murphy & Edwards,
1983), it seemed appropriate to investigate the hypothesised relationships in
two employment settings. Sample I (n = 248) included 83% of the 300
registered nurses from all areas of the Royal Canberra Hospital; ratings of
work performances of 163 (66% of the responding nurses) were made by
their immediate supervisors (with each responding nurse’s permission).
Sample 2 (n = 108) comprised 89% of the 122 workers from all areas of the
Motor Vehicle Registry Section of the Commonwealth Public Service, in
Canberra; ratings of their work performance were made (with the focal
employee‘s permission) by the immediate supervisors of 99 (92% of the
responding workers).
Demographic differences between the two samples, as well as mean
differences on the substantive variables of this study, may be inferred from
Table I . Because scores on most of the substantive variables have no
absolute meanings, point-biserial correlations (rather than means and
standard deviations) are reported, to give an idea of the relative magnitudes
of differences between the two samples. These are trivial for the dependent
variables, and of occasionally moderate size for reported job characteristics.
Nurses tended to have been in similar employment longer, to spend more
time with clients, and to report both more prestige and more stress than did
Motor Registry employees. Most pronounced are the sex and education
differences between the two samples.
Measures
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Measures used were identical for the two samples, apart from changing the
word “patient” to “client” in the Motor Registry questionnaire
Burnour was measured in two ways. Firstly, the original 22-item Maslach
Burnout Inventory (Maslach & Jackson, 1981) was used. This contains a
series of statements about emotional exhaustion, depersonalisation, and
personal accomplishment. Respondents were required to rate on scales of
0-6 and 0-7 the frequency and intensity with which they had experienced
feelings referred to in the statements. In the present study, alphacoefficients
(Cronbach, 195I) for the emotional exhaustion subscale were .86 (frequency)
and .86 (intensity); for the depersonalisation subscale they were .71
(frequency) and .77 (intensity); and for the personal accomplishment
subscale they were .76 (frequency) and .77 (intensity).
Secondly, burnout was measured using 9 items from the Maslach
Burnout Inventory combined with 8 other items which were reverse worded.
This avoids the major methodological problem in the original version, that
pro and con items are not balanced; hence, bias due to acquiescence set may
account for correlations with other scales. Further items relating to lack of
recognition and reward were also added. The reliability of the composite
measure (21 items) was .87.
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Burnout, Job Satisfaction and Job Performance 339
Table 1 Comparison of Nurses and Motor Registry Employees.
Demographic variables
Female
Age
Single
Number of children
Years education
Dependent variables
Burnout
Job dissatisfaction
Poor performance
(self-reported)
(supervisor-rated)
Job characteristics
Level
Time in position
Time in similar work
Hours with clients
Nurses
( n = 248)
Motor Registry
( n = 108)
I
47%
7.04 *
97%
Mz32.I ( S B 8 . 4 ) M=37.4 (SB12.7) 3.96 *
16%
2.95 *
31%
W 1 . 2 ( S D 1 . 4 ) M=1.9 ( S D 1 . 2 )
4.79 *
W15.7 ( S B 1 . 5 ) M.ll.2 I S D 1 . 5 ) 56.44 *
i" Job characteristics (cont.)
r"
-. 10
Prestige
.25 *
.I5 * Stress
.39 *
Social support
.05
.07 Personality characteristics
-.O I
Hardiness (composite)
.I2 *
Internality
.09
-.21 * Commitment to life
.02
.O I
Desire for security
-.I4 *
.44 *
.28
*
Flexibility
Striver/achiever
.I2 *
.I5 *
* p < .05.
positive (point-biserial)correlation indicates that the mean score for nurses was
higher than that for Motor Registry employees.
*A
Using the original version, patterns of external correlates for frequency
and intensity ratings were virtually identical, implying that these two kinds
of ratings were redundant. This contrasts with Maslach and Jackson's (1981)
interpretation that frequency and intensity are distinct because they
correlated only .52. Moreover, the average similarity in external correlates of
the three balanced subscales (emotional exhaustion, depersonalisation, and
lack of personal accomplishment) was 0.73. (It is noteworthy that Maslach
and Jackson, 1981, also reported similarities in some correlates of the
subscales; for instance, in a study of 9 1 social service and health workers, the
correlations of job satisfaction with emotional exhaustion, depersonalisation
and lack of personal accomplishment were -.23, -.22 and -.17 respectively.)
In the present study, a small but definite improvement in predicted
correlations with other variables was found with the composite scale of
counterbalanced items. This result prompted us to use the single balanced
scale as a measure of burnout in subsequent analyses. Results utilising the
original, separate scales were virtually the same as those to be reported here.
Job dissatisfaction was measured by nine statements pertaining to the
position, use of respondent's ability, perceived confidence of management in
the respondent'sjudgment, pay and promotion opportunities, and attitudes
to supervisor and other workers. The statements were derived from a
measure of job satisfaction and motivation used by Fiorgionne and Peeters
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340
Burtiout. Job Satisfaction and Job Performance
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( 1982).Together they cover, in short form, all aspects of the Job Description
Index (Smith, Kendall & Hullin, 1969). Such abbreviated forms - for
example, Kunin’s (1955) “Faces” Scale of job satisfaction, have been found
to correlate highly with the larger Job Description Index. Coefficient alpha
for the job dissatisfaction scale was .72 in the present study.
Poor work performance was measured from two sources: subjective
opinion of the focal employee and the opinion of his or her supervisor. Both
scales referred to amount of work done, accuracy and quality, use of
information, initiative, time management, and interaction with staff. These
aspects of performance included items from Scott and Stumpfs (1984)
Rating of Workers, following theoretical guidelines as to the behavioural
concomitants of burnout (Booth, 1984; Edelwich & Brodsky, 1980 Jones,
1982; Maslach, 1982). Pro and con items were balanced, and dichotomous
answers (“generallytrue”or “generally false”)were used for most of the scale.
’The subjective performance rating consisted of six items, with an alpha
coefficient of .59. The supervisor’s rating consisted of nine items, with an
alpha coefficient of .77. The correlation over 262 employees (both samples
combined) between supervisor’s rating and the employee’s own rating ofjob
performance was .25 (p < .001).
In addition, three specific aspects of the job were appraised by the
employee: presrige (including recognition, desirability, and autonomy);
stress (upsetting situations and clients who are difficult to deal with); and
sociul supporl (team spirit, availability of support from family and other
staff). Respondents replied “generally true” or “generally false” to I8
questions, which had been balanced for positive and negative content. The
statements were prepared by the first author on the basis of reports from
Jones (1982) and Maslach (1982). Alpha coefficients for the scales were:
prestige (4 items), .49; stress (6 items), 0.59; and social support (8 items), .52.
Mean job prestige scales from employees within each of 10 occupational
groups of the Motor Registry were significantly correlated with mean
prestige ranking of the lojobs provided by an independent sample of Motor
Registry employees (r = .65, p < .Ol). Hence, job prestige perceived by
incumbents was related to the consensually judged prestige as seen by
outsiders. Incumbent-perceived level of stress in thejob was also related to
independent rankings made by other workers of stress levels in the lojobs ( r
= .57, p < .05). However, the mean views of incumbents as to levels of
support on the job were not significantly related to the mean views of others
in the Motor Registry, when asked which occupational groups were most
likely to encourage support and teamwork.
Hurdiness was a combined measure of three components: (internal) locus
of control, (high) commitment to life, and (high) challenge (Kobasa, 1979).
Locus oJcontrol was measured with a modified version of Levenson’s scale
(Lefcourt, I98 I). This scale is similar to Rotter’s (1966) Internal-External
Control Scale, but it is directed at the respondent’s behaviour rather than
abstract beliefs. Modifications included reducing the number of items from
24 to 15, and making the response categories dichotomous (rather than
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Burnout. Job Satisfaction and Job Performance 341
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&point scales), to reduce respondent bias toward extreme or neutral replies
(Scott, 1968). Coefficient alpha for this scale was .54. Challenge was
measured using a modified version of the Flexibility scale of Caplan et al.
(1975) and inverse ratings of statements from the Security Scale of the
California Life Goals Evaluation Schedules (Hahn, 1966).Coefficient alpha
for this scale (I4 items) was .47. The Commilmenl to Life scale (9 items, a =
.55) was constructed from the Alienation from Life scale (Maddi, Kobasa &
Hoover, 1979). measuring the respondent’s sense of purpose in life,
involvement with possessions, skills, goals and achievements. The
srriver/achiever scale (5 items, a = .58) was adapted from the Tq’peA scale of
Caplan et al. (1975) and Vickers ( 1976). This scale measures expressed
involvement in work, persistence, achievement orientation, and competitiveness. Dichotomous response categories (“generally true” and “generally false”) were supplied.
Procedure
After obtaining management approval in both settings, the principal
investigator explained the purpose of the study to employees seen individually
or in small groups. Each person was assured of confidentiality, and of
obtaining feedback on the general results. Participation was voluntary and
respondents gave permission for their supervisor to rate their performance in
confidence. Numbers, rather than names, were used on the supervisors’
questionnaire to enhance confidentiality. Questionnaires were collected
personally by the principal investigator three or four days afterdistribution.
Results
All analyses were performed within each sample independently and results
compared in two ways: by tests of the difference between corresponding
correlation coefficients and by overall measures of similarity between two
correlation matrices (which consisted of product-moment correlations
computed over the corresponding pairs). In general, results for the two
samples were very close, except as noted below.
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Intercorrelations Among Dependent Variables
Table 2 shows intercorrelations among the three dependent variables, along
with supervisor-judged job performance. In the interest of simplifying
comparisons over external correlates, all dependent variables are named and
scored in the “undesirable” direction. Burnout and job dissatisfaction were
substantially correlated, but at lower levels than their respective scale
reliabilities, suggesting that distinct, though related, traits were being
measured. Both were associated with poor self-rated job performance.
Supervisor-judged performance correlated significantly with self-rated
performance and with job dissatisfaction among nurses. Comparing the six
pairs of correlations between the two samples. the coefficient of similarity
represented in Table 2 is 0.86, indicating very similar results, in spite of the
fact that one group consisted mainly of professionals, the other mainly of
342
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Burnout, Job Satisfaction and Job Performance
service employees. The only significant difference between corresponding
correlation coefficients was between job dissatisfaction and burnout, which
was higher among Motor Registry employees than among nurses.
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Table2 IntercorrelationsAmong Burnout, Job Dissatisfaction and Job Performance.
I
2
3
4
I . Burnout
(37)"
(.72)"
2. .lob dissatisfaction
Sample I
.45*
Sample 2
.65*
3. Poor performance
(self-rated)
( .59)a
.30*
.19*
Sample I
.26*
.37*
Sample 2
4. Poor performance
(.77)"
(supervisor-rated)
.07
.13*
.25*
Sample I
Sample 2
.04
.08
.I4
NOIP.Diagonal values in brackets are scale reliabilities estimated, for the combined
sample (N=356), from Cronbach's (1951)alpha. n for Sample 1 (nurses) = 248; for
Sample 2 (Motor Registry employees), 108; supervisors' ratings were obtained on
163 and 99, respectively.
* p < .05.
Both samples combined.
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Cornpararive Correlates of the Three Job Orientations
Hypotheses 1 and 2 propose differences in the correlates of burnout, job
dissatisfaction, and poor subjective performance, corresponding to differences in the intended meanings of the three constructs: dissatisfaction
associated with judged inadequacies of the job, burnout reflecting perceived
inadequacies of the self, as well as the job, and subjective incompetence
associated with low status, inexperience, and inadequate job performance.
Table 3 presents the relevant correlations for the two samples, organised by
the three classes of predictor variables.
Results are complicated by the fact that, contrary to expectation, high
striving correlated negatively, rather than positively, with all three outcomes.
Considering the signed values of correlations, the mean correlations of
burnout with the four personality characteristics (excluding the hardiness
composite in favour of its components) were .06 and .05 in the two samples.
But since the direction of correlation is not specified in Hypothesis I , it
seemed equally appropriate to compare the absolute values of correlations.
The mean absolute correlations of burnout with the four personality
characteristics were .I8 and .21 among nurses and Motor Registry
employees, respectively, while the mean correlations of burnout with
reported job characteristics were .27 and .33 for the two samples; mean
absolute correlations of job dissatisfaction with the four personality
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Burnout, Job Satisfaction and Job Performance 343
Table 3 Correlates of Burnout, Job Dissatisfaction, and Subjective Performance
Among Nurses (Sample I ) and Motor Registry Employees (Sample 2).
Burnout
I
Poor per-
Dissatisfaction
2
Characteristics of self
(low) Hardiness
.22*
.23*
(External) Locus of
control"
.02
.08
(low) Commitment
to life
.38*
.41*
(low) Challenge"
.02
-.Ol
(high) Striver/
Achiever
-.24*
-.30*
Respondent-judged job characteristics
(low) Prestige
.25*
.43*
(high) Stress
.28*
.22*
.35*
(low) Social support .29*
Incumbent's status
Age (young)
.25*
.27*
-.03
.08
Education (low)
Level (low)
.07
. I8*
(little) l i m e in
this position
-.19*
(little) Time in
this kind of work
.24*b -.02
(poor) Supervisorjudged performance .I0
.04
I
forrnance
2
I
2
.02
.I I
.27*
.19*
-.03
.07
. I8*
.I7
.26*
.23*
-.a
-.05
.36*
-.02
-.04
-.07
-.21*
-.27*
-.24*
.39*
.26*
.46*
.54*
.I0
.I0
.I0
.35*
.07
.25*
.24*
.05
.19*
.27*
. I 3f
.23*
.oo
. I8*
-.07
.21*
.08
-.I7
.27*
.04
.I I
-.07
.32*
.24*
.I7*
.08
.25*
.14*
.18*
-.05
.42*
.34*
.37*
Nore. Sample I , n = 248; Sample 2, n = 108.
* p < .05.
' This sub-scale was included in the Hardiness composite.
differs from that for Sample 2 at p
* Correlation for Sample I
< .05.
characteristics were . I I for nurses and . I3 for Motor Registry employees,
while the correlations with job characteristics were .37 and .33 in the two
samples. Thus, the job correlates of burnout and job dissatisfaction were
similar, whereas the personality correlates of burnout tended to be higher
than the personality correlates ofjob dissatisfaction ( t for combined samples
2.32; d=
' 7; p < .05). Hypothesis I , therefore, received some support. The
main departure from expectations pertains to the hypothesised positive
correlation between burnout and the striver/ achiever disposition, which
actually turned out in the opposite direction. Among the three components
of (low) hardiness, only (low) commitment to life was a significant correlate
of burnout, while (low) sense of challenge and external locus of control were
not.
The overall similarity in pattern of the 13 external correlates (excluding
the hardiness composite) of burnout and job dissatisfaction was .90(p <
344
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Burnnut. .lob Satisfaction and .luh Performance
.001) among Motor Registry employees, and the only significant difference
between them pertained to the correlation with the Commitment to Life
scale, for which the correlation with burnout was higher than that with job
dissatisfaction. Among nurses, however, the similarity in external correlates
was only .66 0, < .05) and several significant differences appeared.
Correlations with the hardiness composite and its component, commitment
to life, the striver-achiever scale, and time in this kind of work were all higher
for burnout, while correlations with job prestige and social support were
higher for job dissatisfaction. Thus, burnout and job dissatisfaction could be
fairly well distinguished among nurses, but not among Motor Registry
employees, on the basis of their external correlates. (This difference may be
partly attributable to the larger sample of nurses.)
Hypothesis 2, that subjective incompetence reflects low status in the
organisation more than does burnout or job dissatisfaction, received some
support. The mean correlations of the six status variables with subjective
incompetence were .25 among nurses and .I9 among Motor Registry
employees, while the mean correlations of these job status variables with
burnout were just .I3 and .Oh, and their mean correlations with job
dissatisfaction were . I I and .03, respectively, in the two samples. (The
significance of the differences was reflected in r-ratios for paired elements of
5.04 (p < .01) and 2.49 (p < .05) respectively.) Mean correlations of job
characteristics with subjective incompetence werejust .09and .I8 forthe two
samples - significantly lower, on average, than the mean correlations of job
characteristics with burnout and dissatisfaction. Mean absolute correlations
of personality characteristics with subjective incompetence were .21 and .I2
respectively; these did not differ significantly from the mean absolute
characteristics.
Correlations of burnout and job dissatisfaction with personaliry
l h e similarity in overall pattern of external correlates between subjective
incompetence and burnout was .35 (ns) in both samples; the similarity in
external correlates of subjective incompetence and job dissatisfaction was
-.24 and .37 (ns) in the two samples. Thus, subjective performance could be
fairly well distinguished from both burnout and job dissatisfaction. The
significant differences between correlates of subjective incompetence and
burnout in both samples were that respondent-judged (1ow)job prestige and
social support were more strongly associated with burnout, while (low)
position level was more strongly associated with subjective incompetence.
The significant differences between correlates of subjective incompetence
and job satisfaction in both samples were that respondent-judged (low)job
prestige and social support were more strongly associated with dissatisfaction,
while (little) time in present position and (little) time in similar work were
more strongly associated with subjective incompetence.
Contparison qf the Two Samples
The mean levels of burnout and subjective incompetence did not differ
significantly between the two samples, and nurses were only slightly less
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Burnout. Joh Satisfaction and Joh Performance 345
satisfied with their jobs than were Motor Registry employees (Table I).
Moreover, there were few significant differences between the samples in
correlations with external variables (Table 3). Time in present position and
time in similar job were more negatively related to burnout among nurses
than among Motor Registry employees. Also, time in position was more
strongly correlated with (good) subjective performance among nurses than
among Motor Registry employees.
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Summary and Discussion
An attempt was made to distinguish the concept of burnout from related
concepts ofjob dissatisfaction and poor self-judged job performance, and to
confirm the distinctions by a comparison of the major correlates of these
appraisals in two samples: nurses and non-professional employees of a
government agency. Generally, it was found that job dissatisfaction was
associated mainly with employee-judged characteristics of the job. Poor
self-rated performance was associated mainly with the incumbent's low
status and, to some extent, with the personality characteristics of low
hardiness and a negative orientation toward striving and achievement.
Burnout was associated about equally with these same personality
characteristics and with employee-judged characteristics of the job. Thus,
there is some basis for distinguishing empirically among burnout, job
dissatisfaction, and subjective incompetence. even though these attitudes are
interrelated.
The fact that similar results appeared for the two, rather different, samples
indicates that burnout, as well as the other two responses to work, has
similar meanings - that is, similar antecedents and consequences - among
non-professional, as well as professional, employees of large organisations.
Central to both burnout and poor subjective performance are one aspect of
low hardiness - that is, a low "commitment to life" - and a low
striver/ achiever orientation.
The fact that it was low, rather than high, striving which was associated
with burnout, as well as with subjective incompetence, suggests that the
"Type A" personality syndrome does not lead to burnout, but rather to
continuing job commitment. A longitudinal study would be required,
however, to clarify the relationship; as both striving/ achieving orientation
and burnout were assessed at the same time rather than with a considerable
time lag between them, it cannot be known for certain whether the long-term
effect of the striver/achiever orientation on job attitudes is positive or
negative.
The fact that, among nurses, burnout is associated with brief tenure in the
present position and in similar work suggests that, in this occupation, the
reaction is more likely to appear as insecurity of newcomers than as
alienation among experienced employees. Burnout may not, therefore, be
the most apt term for the state; perhaps it can be characterised, instead, as
relatively undeveloped commitment to life and work. In the non-professional
sample, however, burnout was more common among employees who,
346
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Burnout, Job Satisfaction and Job Performance
although relatively young, had spent considerable time in the present
position, thereby warranting use of the term in its colloquial meaning. Thus,
the very meaning of “burnout” may depend on the kind of employee and
work setting considered.
The need to develop more distinctive measures of burnout and job
dissatisfaction is apparent.
References
Berkeley Planning Associates. ( 1977). Evaluarion o j child abuse and neglect demons~ration
projecu, 1974-1977: Volume I X . Prvjecr managemenr and worker burnout. Washington, DC:
US Department of Commerce.
zyxwvuts
Booth. R. (1984). Burnour among human service workers. Paper presented at the Annual
General Meeting of the Canberra Marriage Counselling Service.
Caplan, R. D., Cobb. S.,French, J . P. R.. Jr., Van Harrison, R. & Pinneau, S. R., Jr. (1975).
Job drniands and worker health. Main e~ect.sanilocrupationa1d~ferencr.s.
Washington, DC:
US Department of Health, Education and Welfare.
Carmichael, C. (1979, July 18). &>ston Globe. p. 43. J. H. Meyer, Burnout: Ilevelopmental
inlluences. Canadian Counsellor, 16. 67-73.
Carver. C. S. & Humphries, C. (1982). Social psychology of the Type A coronary-prone
behavior pattern. In G.S. Sanders & J. Suls (Eds.), Socia/p.s.vchology ofhealrh and illness.
Hillsdale, NJ: Lawrence Erlbaum Associates.
zyxwv
Cherniss, C. ( 1980). Profe.~.sionalhurnourin humanserviceorganizorions. New York: Praeger.
Chronbach, L. J . (1951). Coefficient alphaand theinternalstimulusoftests. Psychomerrika.16,
297-334.
Edelwich, J. E. & Brodsky, A. ( 19w)). Burnour. Stares qf di.si1lusivnmenr in rhe helping
priJfe.s.sion.s..
New York: Human Sciences Press.
Fiorgionne, G. A. & Peeters, V. E. ( 1982). Differences in job motivation and satisfaction among
female and male managers. Human Relarions, 35. 10 I - I 18.
Ford, D. L., Jr.. Murphy, C. J. & Edwards, K. L. (1953). Exploratory development and
validation of a perceptual job burnout inventory: Comparison of corporate sector and human
service professionals. Ps.vcho/ogicalReporrs, 52, 993- 1006.
Hahn, M. E. (1966). Calfvrnia Lfe Goa1.s Evaluation Schedule. Palo Alto: Western
Psychological Services.
Jones, J. W. (Ed.). ( 1982). The burnour s,vndrome. Current resrorch, theory. inrerventiom.
Park Ridge, IL: London House Press.
Kobasa. S. C. (1979). Stressful life events. personality, and health: An inquiry into hardiness.
Journal of Persona1it.y and Social Ps.vchologv. 37, I -I I .
Kobasa, S. C., Maddi. S. R. & Kahn, S. (1982). Hardiness and health: A prospective study.
Journal of Personaliry and Social Psychology, 42, 168-1 77.
Kunin, T. ( 1955). The construction of a new type of attitude measure. Persvnnel P~~vrholog.~,
8.
65-77.
Lefcourt, H. M. (Ed.). (1981). Research wiih thelocusof conrrolconstrurt:Vol. 1. Assesssmenr
methoh. New York: Academic Press.
Maddi. S. R.. Kobaw, S. C. & Hoover, M. (1979). An alienation test. Journalof Humanistic
P~j’~hology.
19. 73-76.
Maslach, C. (1982). Burnout: 7he cosr of c,aring.Englewood Cliffs. NJ: Prentice-Hall
zyx
zyx
zyxwvutsr
zyxwvutsr
zyxwvutsrqpo
zyxwvuts
Burnout, Job Satisfaction and Job Performance
347
Maslach, C. &Jackson, S. E. (1981). The measurement of experienced burnout. Journalo/
Oo~o~upa~ioinal
Behavior. 2. 99- 1 13.
Maslach, C. & Jackson. S. E. (1982). Burnout in health professions: A social psychological
analysis. In G . Sanders & J. Suls (Eds.), Siio~iulP.s,vchologyifhealth andillness. Hillsdale. NJ:
Lawrence Erlbaum.
Meier, S.T. (1983). Toward a theory of burnout. Human Relurivns, 36, 899-910.
Peters. C. C. & Van Voorhis. W. R. ( 1940). Staristicalpr~~~eduresandtheir
marhematicalhases.
New York: McGraw-Hill.
Riggar, T. F.. Harrington Godley. S.& Hafer, M. (1984). Burnout and job satisfaction in
rehabilitation administrators and direct service providers. Rehahilitation Ciiun.~ellingBullerin.
27, 151-160.
Rotter. J. B. (1966). Generalised expectancies for internal versus external control of
reinforcement. Psycholvgical Monographs, 80 (609).
Schwab, R. & Iwanicki, E. F. (1982). Perceived role conflict. role ambiguity, and teacher
burnout. Wuo~arivnalAdministration Quarterly. 18. 60-74.
Scott, W. A. (1968). Attitude measurement. In G . Lindsay& E.Aronson (Eds.), Handbook o/
social p.v.vcholvgy; Vol. 2. Reading, MA: Addison-Wesley, 204-273.
Scott, W. A. & Stumpf, J. (1984). Personal satisfaction and role performance: Subjective and
social aspects of adaptation. Jvurnal of Personality and Social Psycholvgy.47, 8 12-827.
Smith. P. C.. Kendall, L. M.& Hullen. C. L. (1969). ThemeasurementoJ’satis/bcrionin work
und rerirement. Chicago: Rand McNally.
Vickers, R. (1976). Job stress. ego acriviry. andri.sk of coriinary heart disease. Unpublished
doctoral dissertation, University of Michigan.
Vroom, V. (1964). Work andmorivarion. New York: Wiley.
Weinberg. S., Edwards, G. & Garove, W. E. (1983). Burnout among employees of state
residential facilities serving developmentally disabled persons. Children and Youth Services
Review. S. 239-253.