An empirical examination of the impact of performance attributions and job satisfaction on turnover intentions.
Huning, Tobias M. ; Thomson, Neal F.
INTRODUCTION
"Voluntary turnover" has been one of the most salient
topics in management research for at least the last half century (March
& Simon, 1958, Hom & Kinicki, 2001). Every year, companies spend
significant sums of money replacing employees who voluntarily separate
from their organizations. The costs associated with voluntary employee
turnover include disruptions of work, loss of knowledge, skills, and
organizational memory (Griffeth & Hom, 2001). A key goal for many
organizations is to effectively manage voluntary turnover of employees
that is caused by dissatisfaction with their jobs or employers. Extant
research recognizes that attitudes and intentions explain around 5% and
15% of the turnover variance respectively (Griffeth, Hom, &
Gaertner, 2000, Hom & Griffeth, 1995). Since one of the key
determinants of turnover is the intention to turnover, a key question
becomes "what causes an employee to decide that they want to
leave?" The study that follows proposes that a key factor in this
process is the style of attributions used by employees to explain their
performance successes and failures. To be sure, we test a model which
postulates that employees quit their jobs based on attributions they
make regarding their performance.
ATTRIBUTION THEORY
Attribution theory has its roots in Heider's (1958)
description of the "naive psychologist" who attempts to find
causal explanations for events and human behaviors. Several models have
been developed from this idea, which attempt to explain the process by
which these attributions are made both in the case of self attribution
(e.g. Weiner, 1974; Abramson, Seligman & Teasdale, 1978) and social
attributions or attributions made regarding the behaviors and outcomes
of others (e.g. Kelley, 1973, Thomson and Martinko, 2004).
Weiner (1974), in his development of the achievement motivation
model of attributions, classified causal attributions across two
dimensions; the locus of causality, and the stability of the cause. The
first, locus of causality, originally proposed by Rotter (1966), is the
degree to which the attributed cause is internal to the person, or part
of the external environment. Internal attributions might include factors
such as low intelligence, or lack of attention. External attributions
could include weather conditions, or task difficulty. A second
dimension, stability, refers to the degree to which the cause remains
constant over time. The example of low intelligence would be stable,
where the example of lack of attentiveness, would be unstable. Weiner
(1979) and Zuckerman and Feldman (1984) added the dimension of
controllability to the achievement motivation model. This dimension
focused on whether the cause of an event or behavior is controllable or
uncontrollable.
McAuley, Duncan and Russell (1992) expanded the concept of
controllability by proposing dual dimensions of personal and external
control. For personal control, the attributor indicates that he or she
either can or cannot personally control the outcome of the event. The
external control dimension measures the degree to which the attributor
sees the situation as being controllable by anyone else, such as a
supervisor or co-worker. As Vielva and Iraurgi, (2002) point out, a
response indicating external control, is different than a response
indicating uncontrollability. This paper proposes that type of
attribution made by an employee across these dimensions is likely to
impact an employee's satisfaction with their job, as well as the
likelihood that they will decide that they want to leave their position.
JOB SATISFACTION
Job satisfaction is the most studied variable in organizations. Job
satisfaction has been defined as a pleasurable emotional state the
results from the appraisal of one's job (Locke, 1976). In other
words, job satisfaction describes an affective reaction to one's
job as well as attitudes toward the job. This in turn suggests that job
satisfaction is formed from affect, cognition, and ultimately will
result in satisfaction contingent job-related behaviors. Some of the
most commonly studied outcomes of job satisfaction are organizational
citizenship behaviors, absenteeism and turnover (Organ & Ryan, 1995;
Wegge, Schmidt, Parkes, & van Dick, 2007; Saari & Judge, 2004).
Job satisfaction is the central variable in among the central
theoretical and empirical contributions in employee turnover.
TURNOVER INTENTIONS
Voluntary turnover refers to an employee voluntarily leaving and
organization. Early approaches such as March and Simon's (1958)
contributions and inducements model have identified that job
satisfaction determines the perceived desirability of movement, which
ultimately determines whether an individual quits the job or not. In
March and Simon's model job satisfaction is driven by the match
between the job and the self-image, the match between the job and other
roles, as well as the predictability of future relationships inside the
organization. Additionally, based on the aforementioned dissatisfaction,
quitting is contingent on an evaluation of the expected utility of the
perceived alternatives.
Furthermore, Mobley (1977) suggested that job satisfaction follows
and evaluation of one's existing job, which then triggers a
sequences of cognitive and behavioral process leading to the quit/stay
decision. It is however, essential to note that Mobley anchors his
theory on the experience of job satisfaction-dissatisfaction.
Recent theorizing has included the role of job performance into the
employee withdrawal process. Allen and Griffeth (2001) hypothesized and
found evidence for the moderating effect of the ease of visibility on
the relationship between performance and perceived ease of movement.
They also found that rewards moderate the relationship between
performance and the desirability of movement. It is important to note
that not all voluntary turnover is bad. In fact, it would be desirable
to most organizations for weak performers to quit.
Collectively, this leads us to ask whether the quit decision of
employees is contingent on their implicit theories about the causes of
their performance. In other words, we ask if the attributions employees
make regarding their performance determined their levels of job
satisfaction and ultimately their intentions to quit or remain with
their respective organizations. In the following section we present
specific research hypotheses grounded in attribution theory and based on
a rich body of knowledge on voluntary turnover.
HYPOTHESES
Past studies have looked at the role of attributions in job
satisfaction (McCormick, 1997, Norris and Niebuhr, 1984). Of specific
relevance to this study, Norris and Niebuhr (1984) found that
individuals who tended to attribute their performance to internal causes
also had higher job satisfaction. Based on their findings, we
hypothesize the following:
H1: Locus of causality will be related to job satisfaction with
internal attributions leading to higher job satisfaction and external
attributions leading to lower job satisfaction.
Additionally, there are numerous studies examining the role of job
satisfaction on turnover intentions. Tett and Meyer (2006) provide a
meta-analytical examination of past findings in this area and conclude
that job satisfaction is very strongly related to turnover intentions,
having a greater effect than organizational commitment. Therefore, based
on their meta-analytical examination of 155 studies in the area we
hypothesize:
H2: Job Satisfaction will be negatively related to turnover
intentions.
A recent study by Harvey, Harris and Martinko (2008) examined the
role of attributions as predictors of job satisfaction, stress and
turnover intentions. This was one of the first studies to examine the
roles of these variables simultaneously, and specifically to include
attributions. While their focus was specifically on hostile
attributions, the findings relate to our study as well. They found a
relationship between hostile attribution styles and turnover intentions.
Hostile attribution style is explained as "blaming others when
things go wrong in their lives." (Harvey, Harris and Martinko 2008)
This relates to the CDSII dimensions as follows: Blaming others is
external LOC, but also high external control and low personal control.
Hostile attributions generally also indicate a bias toward high
stability, as the "offender" is likely not to change. Based on
their finding of a relationship between attributions and turnover
intentions, we hypothesize:
H3: External LOC will be related to higher turnover intention
H4. High stability will be related to turnover intentions
H5. High external control will be related to higher turnover
intention
H6: Low internal control will be related to higher turnover
intention.
METHOD AND SAMPLE
Participants were 363 students at a regional state university
located in the southeastern United States. The sample consisted of
graduate and undergraduate students at the university's college of
business. We distributed a survey instrument together with a cover
letter and consent form. We asked the participants to read the cover
letter and sign the consent form, provided they chose to participate.
The cover letter explained the study and reiterated the fact that
participation was voluntary. We explained that incentives were (or were
not) provided at the discretion of the respective course instructor. The
participants were also informed that they could discontinue the survey
at any time without penalty or loss of reward that they were otherwise
entitled to receive. We instructed the participants that they were to
treat these questions as they relate to the jobs the currently hold, a
job they have held in the past in case they currently did not work, or
if they have never worked to treat being a student as their current job.
The survey contained the measurement scales as well as questions on
demographics of the participants. The participants took the survey
during their respective class periods. 99% of the participants returned
a usable survey.
About fifty-one percent (51.2%) of the participants were female,
47.1% were male; 1.7% did not respond to this question. The average age
was between 23 and 25 years of age with 9.9% of the sample age 35 or
older. 56.5% were white (non-Hispanic), 30% African-American, 4.7%
Hispanic, 3.6% Asian, .6% Native American, and 2.2% specified as
"other", 43.3% responded that they had high school diplomas,
11.8% indicated they had associate degrees, 38.9% stated they held a
bachelors degree, and 3.9% stated that they had master's degrees.
.3% suggested they had doctorates. The average work experience of this
sample was 6 years and 5 months. 92.4% of the respondents had at least
one year of work experience, 83.6% reported work experience of at least
2 years, 46.4% reported 5 years or more, and 14.8% expressed that they
had worked for at least 10 years. We believe that this demographic
composition of the sample makes a strong argument for the
generalizability of the sample to an average "working"
population. The average participant also maintained a 2.9 GPA.
MEASURES
Attributions
For the measurement of performance attributions, we used the Causal
Dimension Scale II (CDS II), developed by McAuley, Duncan and Russell
(1992). The CDS II consists of a 12 questions, which make up 4 scales,
with three items per scale, which evaluated the attributional dimensions
of (1) locus of causality, (2) external control, (3) stability, and (4)
personal control. Reliabilities using the CDS II are generally reported
to be high (McAuley, Duncan and Russell, 1992). The reliabilities of the
scales in our sample are as follows: Locus of causality [alpha] = .74,
external control [alpha] =.7, stability [alpha] = .6, and personal
control [alpha] = .83
Job satisfaction
Job satisfaction was measured with 3 items from Hoppock (1935).
Respondents rated the items on a 5-point Likert-type response scale (1 =
"Strongly disagree"; 5 = "Strongly agree"). A sample
item is, "All in all, I am satisfied with my job." This scale
produced a coefficient alpha of .89.
Turnover intentions
Turnover intentions were measured with three items adapted from the
scale developed by Hom and Griffeth (1991). The items were rated on a
5-point Likert-type scale ranging (1 = "Definitely not"; 5 =
"Definitely yes"). The scale produced a coefficient alpha of
.92.
ANALYSIS
We conducted a series of regression analyses to examine the
relationships between attribution styles, job satisfaction, and turnover
intentions using SPSS. Means, standard deviations, reliabilities, and
correlations are reported in Table 1.
The initial results show that, as hypothesized in H1, based on the
findings of Norris and Niebuhr (1984) locus of causality is
significantly related to job satisfaction at p=.01. The standardized
path coefficient for the relationship between locus of causality and job
satisfaction was estimated to be [beta] = .20. The remaining dimensions,
external control, personal control, and stability were not statistically
significant with respect to job satisfaction. However, external control
could be described as marginally significant at p=.08 with a
standardized path coefficient of [beta] = -.10.
Further, we tested whether the attribution dimensions and job
satisfaction were significantly related to turnover intentions.
Supporting H3 and H4, the attribution dimensions locus of causality and
stability were statistically significant at p=.05 and p=.02
respectively. External control and personal control failed to meet the
significance threshold. The standardized coefficients were -.15 for
locus of causality and -.14 for stability. This provides some
preliminary evidence to the relationship between attributions and
turnover intentions.
However, as indicated by H2, we were also interested to determine
whether job satisfaction mediated between attributions and turnover
intentions. Therefore, we included job satisfaction in the regression
analyses and found that locus of stability was no longer statistically
significantly related with turnover intentions. This led us to believe
that the relationship between locus of causality attributions and
turnover intentions is fully mediated by job satisfaction. This result
was confirmed with a Sobel-test indicating a one-tailed probability of p
<.01. Further, the results of a Sobel test indicated that the
relationship between stability attributions and turnover intentions was
partially mediated by job satisfaction indicated by the one-tailed
probability of p=.01.
H5 and H6 were not supported. There was no significant relationship
found between either internal control or external control and turnover
intentions.
DISCUSSION
While past studies have clearly delineated the relationship between
job satisfaction and turnover intentions (Tett and Meyer, 2006), very
few have looked at attribution styles, and job satisfaction
simultaneously as predictors of turnover intentions (Harvey, Harris and
Martinko, 2008). This study builds on their findings, which tied hostile
attributions to job satisfaction and turnover intentions by looking at
more general patterns of attribution styles and relating them to job
satisfaction and turnover intentions.
Not surprisingly, we found that job satisfaction was a strong
predictor of turnover intentions. We also found that attributional
tendencies or styles are a significant influence on job satisfaction. It
was interesting to find that while the tendency toward stability
attributions had a direct positive effect on turnover intentions, even
when job satisfaction was included in the model, the impact of locus of
causality attributions appears to be fully mediated through the variable
of job satisfaction.
The failure to find the relationships predicted in H5 and H6
suggest an interesting interpretation of these findings. If neither high
internal control nor high external control influenced turnover
intention, then the remaining conclusion is that uncontrollable causes
for performance related failures increase the intent to turnover. In
other words, having your performance related outcomes depend on chance,
luck or the whim of weather are more likely to cause you to want to
leave your job than having your outcomes based on another person such as
a supervisor.
This finding poses an interesting contrast to the findings of
Harvey, Harris and Martinko, (2008). While hostile attributions would
typically imply blaming the supervisor or other co-worker, these
findings suggest that voluntary turnover is more likely to be caused by
feelings of uncontrollability than feelings that another person controls
the outcome.
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Tobias M. Huning, Columbus State University
Neal F. Thomson, Columbus State University
Table 1: Means, Standard Deviations, Reliabilities, and Correlations
among all Variables
Mean SD 1 2
Locus of Causality 6.3 1.46 (0.74)
External Control 5.1 1.53 -.10 (0.70)
Stability 5.3 1.49 .44 ** .17 **
Personal Control 2.4 1.46 .68 ** -.26 **
Job Satisfaction 3.8 0.48 .18 ** -.13 *
Turnover Intention 3.1 0.89 -.14 ** .01
3 4 5 6
Locus of Causality
External Control
Stability (0.62)
Personal Control .35 ** (0.83)
Job Satisfaction .07 .17 ** (0.89)
Turnover Intention -.18 ** -.1 -.58 ** (0.92)
Note: Reliabilities (Cronbach's Alphas) are given in parentheses.
** Correlation is significant at the .01 level.
* Correlation is significant at the .05 Level.
Table 2: Regression results:
Regression results with Job Satisfaction as Dependent Variable
[beta] * s.e. t-value p-value
Locus of Causality 0.2 0.37 2.54 0.01
External Control -0.10 0.04 -1.76 0.08
Stability 0.01 0.04 0.12 0.91
Personal Control -0.02 0.06 -.23 0.82
* Standardized path coefficient
Regression results with Turnover Intention as Dependent Variable
[beta] * s.e. t-value p-value
Locus of Causality -.15 0.07 -.19 0.05
External Control 0.03 0.05 0.54 0.59
Stability -.14 0.05 -2.30 0.02
Personal Control 0.06 0.07 0.79 0.43
* Standardized path coefficient
Regression Results including Job Satisfaction as Mediator
[beta] * s.e. t-value p-value
Locus of Causality -.04 0.06 -.64 0.53
External Control -.02 0.04 -.46 0.64
Stability -.14 0.05 -2.65 0.01
Personal Control 0.05 0.06 0.786 0.43
Job Satisfaction -.54 0.06 -11.52 0.00
* Standardized path coefficient