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7/29/2019 Locus of Control & Stress Srudy 29 AP 2010
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A theoretical model for the relationship
among: stress, locus of control, and longevity.
By Bernardi, Richard A.Publication:Business Forum
Date:Friday, June 22 2001
ime/budget constraints and the need to reduce costs affect decision making (Mautz and Sharaf 1961).
These pressures can cause considerable stress and result in job dissatisfaction, reduced quality of work,
and personnel turnover (Collins 1993; Kelley and Cook 1982; Margheim and Pany 1986; Pearson et al.
1985). Kelley and Seiler (1982) found that "The ability to live with ... pressure may be a
prerequisite to a long career" when time budgets are imposed.
Stress has been noted as a factor for switching careers (Carcello et al. 1991; Trapp et al. 1989)and locus of control (Rotter, 1966) has been considered in participative budgeting (Murray,
1990; Licata et al. 1986; Brownell, 1981, 1982). While there has been no accounting research
that links stress participative budgeting and locus of control, there is extensive research inpsychology linking locus of control and stress management. This study theoretically expands the
research into stress (Rebele and Michaels 1990) using Snead and Harrell's (1991) job satisfaction
model as a structural guide (Figure One).
Theory Development
Motivation and Locus of Control
Psychological Locus of Control (hereafter referred to as locus of control or LOC) conceptualizeshow individuals see their own actions affecting the events that surround their lives (Lefcourt,
1982). Locus of control represents individuals' range of beliefs concerning personal control over
their environment; the range extends from strong personal control (internal locus of control) toweak or no personal control (external locus of control). External locus-of-control individuals
believe that "reinforcements are not under their control but rather are under the control of
powerful others, luck, chance, fate, etc." (Rotter, 1966; 618). On the other hand, internal-locus-of-control individuals believe that "reinforcements are contingent upon their own behavior,
capacities, or attributes" (Rotter, 1966; 618).
Internal-locus-of-control people accept responsibility for events (Davis and Davis, 1972), andexternal-locus-of-control individuals blame their environment for failures (Phares et al. 1971).
Because internal locus-of-control individuals ("internals") believe they control the events in their
lives, they recognize that experiences are related. Given this, internals believe that the probabilityof goal attainment is directly proportional to their efforts and their ability to learn from repeated
experiences (Lefcourt, 1982) and also set more difficult goals for themselves (Yukl and Latham,
1978), which reflect their perception of control (Murray, 1990). Externals do not see therelationship between their efforts and the ultimate results of these efforts (Lefcourt, 1982).
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External-locus-of-control subjects ("externals") attributed a high probability to luck as a
determinant for significant events (Friedland, 1992).
Age, Gender, and Locus of Control
The data in Table One are provided to show that the research cited represents data taken fromlarge-to-very-large samples. Differences in locus of control and in age are correlated. Research
shows that locus of control consistently becomes more internal through the seventh grade (Payneand Payne, 1989; Young and Shorr, 1986). Locus of control becomes most internal level at about
age 14 to 16 and then reverts to a more external level by age 18 (Crandall et al. 1965; McNulty
and Borgen, 1988).
Comparing data for adult age groups, most research finds that locus of control remains relatively
constant for some period of time after high school. Evaluating teenagers through 50 year olds,Morganti et al. (1988) and Jensen et al. (1990) found that an individual's locus of control
becomes more external as he/she gets older. So that, one would expect that locus of control
would gradually become more external as an individual continues in a profession (i.e., becomesolder) unless other factors such as stress intervene.
Although both males and females are concerned about their careers, females experience morejob-related stress (Collins, 1993). Females indicate that the conflicting responsibilities of home
and work magnify the intensity of other time demands. For females, fifty percent of the variationin reported anxiety can be explained by the effect of work on home life and job-performance
(Kahn and Cooper, 1992). While the effects of work on home life and job-performance are alsoimportant to males, locus of control was a more significant factor when explaining stress for
males. This difference may be explained by research that indicates that women are more external
in their locus of control than men (Jones and Page, 1986; Linder, 1986; Doherty and Baldwin,
1985; and Roodin et al. 1974).
Stress and Behavior
Multiple job assignments and time/ budget pressures cause stress for both male and femaleaccountants (Pearson et al. 1985). Time pressures can also cause dysfunctional behavior (Kelley
and Margheim, 1990; Raghunathan, 1991). Kelley and Margheim (1990) note that the number of
quality reduction acts increases significantly when there is time pressure. Tight budgets can also
affect perceptions of personal competence. For example, dysfunctional behavior could occur if atime-budget overrun is perceived as being caused by a personal inefficiency (Lightner et al.
1982) or a tight budget (Margheim and Pany, 1986). Time pressure is more prevalent at the
lower employment levels than at the upper levels (Kelley and Seiler, 1982). In fact, thirty-two
percent of the lower level employees reported dysfunctional behavior, which was associated withtheir efforts to meet time budget (Kelleyand Seiler, 1982).
Stress and Locus of Control
able Two shows that several studies link stress and locus of control. Chan, (1977, 93) suggeststhat when an individual perceives that they are in control of a situation "the probability is that he
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will be less likely to perceive the situation as threatening or stress-inducing". Ivancevich and
Matteson (1980) also believe that the type of locus of control and adaptation to stress are related.Jennings (1990) finds associations among overall stress, locus of control and nonwork stress
(e.g., environmental stressors such as finances or parenting). Externality (i.e., more fate, chance,
luck, or powerful others oriented) is positively correlated with general life stress (DiMatteo et al.
1993) and job stress (Evans and Coman, 1993). Since internal-locus-of-control individuals("internals") experience lower anxiety (Torestand et a]. 1989; Jones and Page, 1986), internal
locus of control may act as a stress buffer (Daniels and Guppy, 1992).
Some individuals are either not affected by or thrive in an environment of stress. While more
internally-oriented individuals are challenged by stressors, externals are more likely to bethreatened by these stressors (Vitaliano et al. 1987). One's sense of locus of control affects the
degree of perceived stress (Pilisuk et al. 1993; Schafer and McKenna, 1991). For example, while
internal-locus-of-control students are able to work despite attempts at distracting them, the
performance of external-locus-of-control students de creases when the same stressors are present(Wolk and Bloom, 1978).
How individuals deal with stress (i.e., cope with the stress in their lives) also affects theirperceptions of stress. As an example, while internal-locus-of-control individuals use solution
oriented coping, external-locus-of-control individuals tend to either ignore or to give in to
problems (Rees and Cooper, 1992; Schill and Beyler, 1992; Wells-Parker et al. 1990). Smith andEverly (1990) find that individuals who practice adaptive coping report lower levels of
environmental stress; so these accountants are demonstrating the type of behavior one would
expect from an internal-locus-of-control individual. Grannis (1992) finds that internal locus of
control acts as a stress moderator; students reporting lower levels of stress have had higher gradepoint averages. Stress management and adaptive coping can be learned. After participating in a
stress-management program, students' sense of control was not only more internal, but they also
took greater responsibility for their academic achievement, were more confident, and reportedmore appropriate coping skills (Henderson et al. 1992).
Participation, Satisfaction, and Accomplishments
External locus of control is negatively correlated to feelings of personal accomplishment
(Lunenburg and Cadavid, 1992) and job satisfaction is negatively correlated to stress (Blegen,1993). Therefore, it is not surprising that a positive correlation exists between external locus of
control and emotional exhaustion (St.-Yves et al. 1989). By contrast, internal locus of control has
been shown to be positively associated with job satisfaction and lower perceived stress (Rees and
Cooper, 1992; Schafer and McKenna, 1991). This is because internals feel they have input intotheir work environment, perceive less emotional exhaustion, and receive higher job satisfaction
(Fuqua and Couture, 1986; Whitebook et al. 1982).
Proposed Model
Snead and Harrell's (1991) model (see Figure One) indicates that job satisfaction is positively
correlated with one's influence orientation and the total hours one is willing to work. From the
research cited, individuals who see a direct relationship between their efforts and their
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accomplishments (i.e., internal locus of control) should be willing to work longer hours (i.e., be
more motivated). This relationship should also positively affect one's willingness to worktowards harder goals (Murray, 1990; Yukl and Latham, 1978) and should enhance one's sense of
achievement. Snead and Harrell find that sense of achievement is negatively associated with
work stress and job dissatisfaction. Since internal-locus-of-control individuals perceive less
stress, these individuals should be more satisfied with their jobs and retention should increase. Ifthis is the case, Snead and Harrell's job-satisfaction model can be modified to reflect these
relationships. Figure Two shows the relationships between locus of control and the factors
discussed in this review. In addition to the several locus-of-control tests used, the extent andcurrency of the research, most after 1990, make a compelling argument for the effects of locus of
control on motivation, stress, job satisfaction, and retention.
Future Research
While only about a third of the research cited in this review was in accounting, the relationshipamong stress, retention, and locus of control have been demonstrated in research outside of
accounting. In a sense, this research indicated that internal locus of control can act as a filter forwhat could otherwise be perceived as an unpleasant work environment. Given this, one wouldexpect internal-locus-of-control individuals to be more prevalent in the upper-staff levels of
public accounting.
Figure Two provides an agenda for future research. One line of research should follow a group
for several years to determine whether the issues posited by this research do have an impact on
retention. This research should use new hires to determine whether or not these individualsrepresent a full range of locus of control or whether the sorting process only admits more
internal-locus-of-control individuals. Other research should explore the impact of perceived
stress on individual performance in both college and on the job. This research could determine
whether attitudes about stress are brought into the work place from college.
Table One
Age, Gender, and Locus of Control
Sample Used in the Studies
Research Author(s) Year Size Characteristics
Crandel, et al. 1965 923 Grade and High Schools:
(104 3rd, (103 4th,
(99) 5th, (166) 6th,
(109) 12th
Doherty and Baldwin 1985 13,000 NLS data:
(3,534)MM, (3,226) MF
(3,118) YM, (3,122)YF
Jenson et al. 1990 11,729 Adults ages:
18-24
35-54
55+
McNulty and Borgen 1988 500 Grades 8 to 12
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Morganti et al. 1988 450 (60) ages 14 to 16
(60) ages 25 to 34
(60) ages 45 to 54
(270) ages 55+
Payne and Payne 1989 643 Grade School:
(134) kid, (134) 1st,
(103) 2nd, (109) 3rd,
(73) 4th, (90) 5th
Young and Shorr 1986 1,899 Grade and Middle School:
(651) 4th, (649) 5th,
(599) 7th
Locus of Control Test
Research Author(s) Author(s) Year
Crandel, et al. Crandall et al. 1965
Doherty and Baldwin Rotter (modified) 1966
Jenson et al. Jenson et al. 1990
McNulty and Borgen Rotter 1966
Morganti et al. Rotter 1966
Payne and Payne Nowicki and Strickland 1988
Young and Shorr Cleary and Cleary 1972
MM = Mature Males YM = Young Males
NLS = National Longitudinal Survey
MF = Mature Females YF = Young Females
Table Two
Age, Gender, and Locus of Control
Sample Used in the Studies
Research Author(s) Year Size Characteristics
Daniels and Gyppy 1992 221 University employees
DiMatteo et al. 1993 108 Dentists
Evans and Coman 1993 271 Police officers
Henderson et al. 1992 65 3rd graders
Jennings 1990 300 Head nurses
Jones and Page 1986 222 Undergraduates
Kahn and Cooper 1992 225 Money market dealers
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Pilisuk et al. 1993 91 Senior citizens
Rees and Cooper 1992 1,176 Health service workers
Schafer and McKenna 1991 219 City managers
Schill and Beyler 1992 117 Undergraduates
Smith and Everly 1990 229 Accounting academicians
309 Accounting practitioners
Torestad et al. 1989 452 17-year olds
Vitaliano et al. 1987 443 Medical students
Wells-Parker et al. 1990 203 Women
Locus of Control Test
Research Author(s) Author(s) Year
Daniels and Gyppy Spector 1986
DiMatteo et al. Rotter 1966
Evans and Coman Levinson 1988
Henderson et al. Crandall et al. 1965
Jennings Rotter 1966
Jones and Page Rotter 1966
Kahn and Cooper Cooper et al. 1988
Pilisuk et al. Nowicki and Duke 1973
Rees and Cooper Cooper et al. 1988
Schafer and McKenna Unspecified n/a
Schill and Beyler Rotter 1966
Smith and Everly not used n/a
Torestad et al. Rotter 1966
Vitaliano et al. Mirels 1970
Wells-Parker et al. Rotter 1966
Blegen, M. A. (1993) Nurses' job satisfaction: A meta analysis of related variables,NursingResearchJanuary-February: 36-41.
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Richard A. Bernardi, Ph.D., CPA is a Professor of Accounting and the Gabelli School of
Business, Roger Williams University in Bristol, Rhode Island. Dr. Bernardi received his Ph.D.from Union College in 1992 and was a Professor of NationalSecurity
Affairs at the United States Naval War College during 1997-1998. His primary research interests
concern fraud detection, ethics, and audit judgment. His fraud detection research resulted inarticles in Auditing: A Journal of Practice and Theory; International Journal of Auditing; the
Irish Accounting Review; Managerial Finance; and Research on Accounting Ethics. During1996, he served as an external reviewer on KPMG Peat Marwick's Fraud Detection Task Force.
He is currently the ethics editor of the Journal of Applied Business Research.
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