transformational leadership and well-being: the mediating role of trust in leadership,...
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Author: Bitieal Mehari
Supervisor: Yvonne Terjestam
Examinor: Jens Agerström
Linnaeus UniversityDepartment of psychologyPsychologyMaster Thesis 4PS012, 30 creditsSpring 2015
Transformational leadership and well-being: The mediating role of trust inleadership, meaningfulness and jobsatisfaction
Abstract
The aim of this research study is to explore the mechanisms involved in
the relationship between transformational leadership style and employee
well-being in the workplace. Previous evidence has shown that
transformational leadership is linked with employee well-being. However,
it is not clear whether transformational leadership have an indirect
effect on employees work environment, and that this subsequently
meditates that relationship. A theory driven model was tested by
applying a parallel multiple mediation analysis. This was conducted on a
cross-sectional data sample of 82 employees working in a public
psychiatric hospital in Sweden. The results indicated that
transformational leadership and employee well-being is correlated, and
that job satisfaction indirectly mediated this relationship. However,
contrary to previous studies, the results did not indicated that
transformational leadership had an indirect effect on employees’
wellbeing, though, its effect on trust in leadership and employees’
sense of meaning in work. Theoretical and practical contributions as
well as limitations of the research study are discussed.
Keywords: transformational leadership, well-being, psychosocial work environment, trust in
management, meaningfulness, job satisfaction
Introduction“When good people have problems, managers and companies need to carry them. This shouldbe a personal mission. If we learn to carry people when they most need it, we become astronger community and we empower people in ways that we probably can’t imagine when weare young.” - Shane Rodgers, Editor at The Australian
Research has found that between a fifth and a quarter of the
variation of an adults life satisfaction can be explained by
satisfaction in the workplace (Harten, Schmidt, Keyes, 2002).
Because people spend a great deal of their adult life in the
work place, it is logical to assume that the psychosocial work
environment is a great influential factor to people’s health and
well-being. Prior research has shown that employee well-being is
linked with employee productivity, and the success of the
organization as whole (Harten, Schmidt, Keyes, 2002). It has
also shown that it is affected by both the physical work and
psychosocial environment (e.g., Gilbreath & Benson, 2004).
Understanding employees’ well-being within organizational
boarders is important not only for ethical reasons, but also to
plan, design, and execute appropriate and effective
interventions. Interventions that help prevent employee
suffering and promote well-being.
Depending on which level and perspective one takes, there might
be several different answers to the question “who hold the
responsibility of people’s well-being in the workplace?”. The
formal organizational leaders have a substantial amount of power
to impact the individual person’s life and the work place
environment. It is the leaders within the organizations that are
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able to shape and impact the organizational culture which
involves workplace norms and values (Bass & Avolio,1993; Jaskyte,
2004), as well as the work climate, and the physical work
environment. It is the leaders who have the power to provide
employees with the right resources, and create or change
policies and procedures which enables employees to grow, and
develop their skills and competences.
Research (e,g., Cherniss,1995; Van Dierendonck et al., 2004)
demonstrates that employees perceptions of their work
environment is associated with leadership behaviour (Nielsen et
al., 2008). According to Sparks, Faragher, and Cooper (2001)
leadership style is one of the main psychosocial work factor
which is a concern in the 21 century workplace, as it has been
linked with both positive and negative employee outcomes. For
instance, a study conducted by Gilbreath and Benson (2004)
indicated that supervisory behaviour is the strongest predictor
of employee well-being compared to other workplace factors. The
interest in understanding the effects leaders have on employee
wellbeing has grown over the past three decade (Tafvelin,
Armelius, Westerberg,2011). Several studies have discovered that
leadership behaviour affect employee well-being within and
without the work place boarders (e.g., Kauppala et al., 2008;
Skakon, et al., 2010). One of the most well documented
leadership styles is transformational leadership.
Transformational leadership has been associated with several
different positive organizational outcomes, including employee
well-being. However, the process of this association is poorly
understood (Nyberg, bernin, Theorell, 2005), and some researchers
propose that this association may be indirect.
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On the basis on previous findings within the leadership and
occupational health literature, the aim of this thesis is to
explore the mechanisms involved in the association between
transformational leadership style and employee wellbeing. The
objective is to further increase our knowledge of how leaders
influence employees’ well-being. The first part of the thesis
will provide a review of the concept leadership, in particularly
transformational leadership, as well as well-being. Secondly,
an overview of the current empirical research and the hypotheses
of my research study will be provided. This will follow with a
description of the methodology used in this study to explore the
hypothesis, and then the empirical results. The last part of the
thesis will provide an in-depth discussion of the results and my
finale conclusions.
Transformational leadershipAccording to Hogan & Kaiser (2005) leadership is an important
topic within organisations, as good leadership leads to
successful and effective organisations which eventually leads to
financial and psychological wellbeing for employees, executives,
stakeholders and citizens (Hogan & Kaiser, 2005). It is also an
important topic in human science (Yukl, 2012), and it is a
concept which has long excited interest among researchers.
However, it was not until the late twentieth century the concept
of transformational leadership (TL) started to emerge. TL was
firstly introduced by James MacGregor Burns (1978) who suggested
that there are two forms of leadership transformational and
transactional. Burns described TL as a process whereby “leaders and
followers raise one another to higher levels of morality and motivation” (Burns,
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1978) (Givens, 2008 p.5). Over the past 30 years, TL research
has grown and become the most researched leadership theory out
of all other leadership theories combined, and is currently
dominating leadership research (Avolio et al., 2009; Judge &
Piccolo, 2004; Westerlaken & Woods, 2013). The reason for its
growth is due to its effectiveness relating to a number of
different positive organizational and employee outcomes. The
literature shows, that (TL) is related to subordinates extra
effort and the tendency to go the extra mile for the
organization (OCB) (e.g., Barling et al., 1996), commitment to
the organization (e.g., Koh et al., 1995), managerial
satisfaction and effectiveness (e.g., Michel et al., 2011),
employee job satisfaction (e.g., Judge & Piccolo, 2004), creative
performance (e.g., Hoyt & Blascovich, 2003). It has also been
linked to positive group processes such as increase level of
group effectiveness (e.g., Bass, et al., 2003), collective
efficacy (Kark et al., 2003), and group cohesiveness (e.g., Hoyt
& Blascovich, 2003).
Within the occupational health literature studies have showed
that workplace factors, such as leadership behaviour, predict
workplace ill health (e.g., Landeweerd & Boumans, 1994; Tepper,
2000). On the contrary, positive leadership behaviours similar
to TL, might prevent employee bad health and improve employee
well-being (Skakon et al., 2010). Burns version of leadership
has been developed several times sense his introduction, and one
the most widely used versions was conducted by Avolio & Bass
(1991). Unlike Burns model, Avolio and Bass’s (1991) the full range
leadership model includes an additional leadership component, namely
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Laizze-faire leadership style (Avolio, et al., 2003; Kelloway et
al., 2012).
According to this model TL is composed by four different
behavioural dimensions: inspirational motivation, intellectual stimulation,
idealized influence or charisma and individualized consideration. 1) Inspirational
motivation refers to a leader who communicates a convincing vision
of the future, promotes powerful symbols to followers, and
motivates followers to make greater efforts. This enables
followers to achieve beyond their expectations and to feel a
sense of belonging (Nyberg, Bernin, Theorell, 2005). 2) Intellectual
stimulation refers to the TL ability to encourage followers to
think of problems in new ways and perspectives, and to find
answers to their own questions themselves (Nyberg et al., 2005;
Arnold et al., 2007). 3) Idealized influence refers to the charismatic
characteristic of the leader and their ability to exhibiting
moral behaviours and doing what is “right”, express dedication
and self-sacrifice to benefit of the followers. Consequently,
the TL is regarded as a role model, and followers identify with
their leader (Nyberg et al., 2005; Arnold et al., 2007; Yukl,
2012). Lastly 4) Individualized consideration refers to a leader who
treat followers as a person, and takes their time to listen to
their concerns and support them, listen to their ideas, coach,
and encourage the followers and demonstrate appreciation of
their achievements (Arnold et al., 2007; Nyberg et al., 2005).
Well-beingThe definition of well-being seems to vary depending on
researchers’ specific domain. Nevertheless, it is largely
accepted that well-being can be conceptualized in two ways.
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Firstly, well-being can be defined and measured in relation to
actual symptomatology and epidemiology rates, whereby the
definition encompasses both the psychological and physiological
presence of illness or disease (Danna & Griffin, 1999).
Secondly, well-being can be defined in relation to mental,
psychological or emotional states of workers (Danna & Griffin,
1999). For the past decade or so, there has been a rise of
positive psychology among organizational researchers (Fisher,
2010). This has allowed researchers to focus on positive
experiences as opposed to the previously dominate total
attention on the disease model, which focus on negative states
and outcomes such as illnesses, stress, burnout, and depression
(Fisher, 2010).
Within the psychology domain, there are three defining
characteristics of well-being; firstly, well- being is a
phenomenological experience, thus people rate their level of
happiness based on their subjective belief of how happy they are
(Wright & Cropanzano, 2000). Secondly, it also contains an
emotional aspect, whereby psychologically well individuals tend
to experience more positive emotions than negative ones (Wright
& Cropanzano, 2000). Third, well-being is often considered to go
beyond physical health and encompass the “the whole person” as
well (Danna & Griffin,1999).
Occupational Well-beingWithin an organisational context, well-being in the workplace is
often operationalized based on employee affective well-being.
Affective well-being is conceptually similar to the medical
criterion of “ill” and “not ill” (Danna & Griffin, 1999). It is
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often treated within the pleasure–displeasure axis (Van horn et
al., 2004), which consists of positive vs. negative emotional
experience such as anxiety–comfort, depression–pleasure,
boredom–enthusiasm, tiredness–vigour and anger–placidity
(Daniels, 2000). Thus, many current measuring instruments for
occupational well-being primarily tap into this affective
dimension (Van horn et al., 2004). Specifically they tend to tap
into the pleasure-displeasure axis in a work context, as
empirical evidence indicates that this axis accounts for most of
the covariance in affective well-being (Daniels, 2000).
Some researchers believe it is important to measure both context
free e.g. life satisfaction, and context related aspects of
well-being (e.g., Danna & Griffin, 1999). However, Warr (1987,
1994) argued that there is an advantage to focus on context
specific elements of well-being, as job related antecedents e.g.
intrinsic job factors, and work relationships, are stronger for
job related well-being ( Van horn et al., 2004). Similarly, Van
Horn, Taris, Schaufeli, & Schreurs (2004) concluded that
affective well-being (e.g., mood, emotional exhaustion)
constitutes the core of occupational well-being. They also
argued that cognitive weariness at work (e.g., capacity to take
up new information and loss of concentration) and psychosomatic
complains (e.g., headaches and back pains) also play a part in
occupational well-being. This is because prior research (e.g.,
Broadbent et al., 1982; Taris et al., 2001) has found that these
are linked with affective well-being (Van horn et al., 2004).
Based on these arguments, this paper conceptualizes well-being
in the context of work and affective components. Thus, measures
of well-being used in this study will incorporate measure of
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context related affective well-being (emotions at work),
physical well-being (cognitive and psychosomatic complaints),
and health measures taping into stress, sleep and burnout.
Transformational leadership and employee well-
beingSeveral empirical studies have demonstrated a specific
relationship between TL and subordinates well-being (e.g. Arnold
et al., 2007; Densten, 2005; Seltzer et al., 1989; Sivanathan et
al., 2004). Kelloway et al. (2012) argued that each components
of TL leadership are relevant to employee’s well-being. Thus,
idealized influence allows leaders to be guided by ethical reasoning
when they commit to their employees, and are able to take
actions which benefit their employees’ health and well-being in
the long-term. They are also able to consider the organization
as a whole, rather than their own short term self-interest.
Leaders who exhibit individual consideration focus on employees need
for achievement and development, and demonstrate empathy and
compassion, and provide employees with guidance and support
which impacts the employee’s wellbeing, but also fosters a
supportive team climate within the organization. Empirical
evidence indicate that leadership support leads to higher
employee well-being (e.g., Gilbreath & Benson, 2004), less
burnout (e.g., Price & Weiss, 2000; Tourigny, et al., 2005), less
stress (e.g., Moyle, 1998) and less psychosomatic complaints
(e.g., Elfering et al., 2002), positive affective well-being
(e.g., Gilbreath & Benson, 2004).
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Frank & Felfe (2011) suggested that the components idealized influence
and individual consideration influences employees own self-concept by
providing application and empathy, which fosters perceptions of
confidence and trust, which eventually leads to decreased
perceived strain (Zwingmann et al., 2014). Through Intellectual
stimulation, employees are able to make sense of their situation and
to feel an increased sense of self-confidence when solve when
they solve work related problems in their own way they and
achieve beyond their own expectations and also enables them to
make sense of their situation. This in turn enhances their well-
being (Kelloway et al., 2012). Intellectual stimulation could also
influence employee’s task clarity, and decrease uncertainty and
ambiguity, when the leader describes expected performance (Liu
et al. 2010), which in turn leads to low levels of perceived
stress and less stress symptoms (Liu et al. 2010). Thus,
empirical research seems to support the positive effect of
transformational leadership on employee well-being, especially
the dimension individualized influence and individualized consideration.
Therefore, based on these theoretical arguments and empirical
findings, this study hypothesises that perceived
transformational leadership leads to higher employee well-being.
H1: There is a positive relationship between perceived transformational leadership and employee well-being.
Despite the vast amount of studies conducted on TL and its
relation to outcomes, the influence process of TL is, according
to many researchers still poorly understood (e.g., Avolio et
al., 2009; Van Knippenberg, & Sitkin, 2013). According to Bass
(1999), further examination of the process of TL is needed.
Although Bass conclusions still ring true, some researches have
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since then explored different aspects of TL, such as the
antecedents of TL (e.g., Wright & Pandey, 2010; Bono et al.,
2012), moderators of TL and outcomes (e.g., Zhu, Avolio, &
Walumbwa, 2008), as well as mediators that directly or
indirectly effect TL and outcomes (e.g., Eisenbeiss et al.,
2008). However, research in this area is still lacking, in order
to fully explain how and why TL influences employee’s attitudes,
motivations, behaviours and well-being. Thus, this has led the
process to be referred to as the “blackbox” of TL (Avolio et
al., 2009; Yukl, 1999).
The aim of this paper is to investigate the mechanisms between
TL and employee well-being, through mediation analysis. The
mediation process examines potential intervening or mediating
variables which function as a connection between TL and
wellbeing. Several studies have indicated that employees
perceived work characteristics, such as meaningfulness (Arnold
et al., 2007; Nielsen et al., 2008) and trust in leadership
(Liu, Siu, Shi, 2010; Kelloway et al., 2012), mediates the
relationship between TL and employee well-being. However,
previous research often considers job satisfaction as an outcome
or antecedent of TL and well-being. In order to find a
significant mediation, it is important to demonstrate that TL
and well-being is related. It is also important that these two
variables relate to each mediating variable. Based on the model
for mediation and previous empirical evidence, it only seems
logical to assume that employees’ satisfaction with their jobs,
sense of meaningfulness at work and trust in their leader, could
potentially be mediating the relationship between TL and well-
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being. Thus, the following section will demonstrate the
theoretical reasoning behind this proposed mediation model.
Transformational leadership and the mediatingvariablesAccording to the empirical evidence, TL is positively linked
with employees trust in leader (e.g., Podsakoff et al. 1990,
1996; Dirks & Ferrin, 2002), a sense of meaningfulness at work
(e.g., Brossoit, 2001; Sparks & Schenk, 2001; Nyberg et al.
2005), and increase level of job satisfaction (e.g., Podsakoff
et al., 1990; Fuller et al., 1996; Nielsen et al., 2009; Turner
et al., 2002; Djibo, et al., 2010; Kovjanic et al. 2012). The
literature suggest that TL adhere to employees basic
psychological needs such as relatedness, by showing concern,
consideration, and support to their employees (Arnold et al.,
2007). This in turn confirms their needs and feelings and fosters
a sense of meaningfulness, moral purpose, and commitment to
their work (Arnold et al. 2007). Empirical evidence also indicate
that leadership support leads to higher job satisfaction (e.g.,
Moyle,1998; Sellgren et al., 2008).Through the dimension
individualized consideration TL develop deep relationships with their
employees, and as a consequence instils trust and respect (Den
hartog et al., 2002), and positive affective response such as
job satisfaction (Butler et al., 1999; Liu et al., 2010).
The dimension inspirational motivation allows the leader to also foster
meaningfulness and job satisfaction. TL ability to communicate a
shared future vision has been argued to influence employees to
be optimistic regarding future goals, and thus to feel a sense
of meaning for the task at hand, and to see a higher purpose in
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their work, as they are able to understand where they fit in
(Nielsen et al., 2008). This in turn increases employees’
personal core values, and increases the likelihood of employees
to perceive their work as purposeful, motivational, and
important (Nielsen et al., 2008). Furthermore, providing a
future vision, as well as other TL behaviours such as leading by
example, coaching, developing employees and share information,
has been argued to energize and empower employees (Arnold et
al., 2007). Empirical evidence indicates that empowerment
increases levels of job satisfaction (e.g., Appelbaum &
Honeggar, 1998).
Furthermore, Ghadi, Fernando, Caputi (2013) suggest that TL
component intellectual stimulation leaders encourage employees to find
their own solutions to their problems and to be creative, thus
employees perception of them self-enhances which increases their
self-esteem and make work meaningful. This leadership behaviour
will make employees feel safe to express their opinion without
fear of being criticized. This help employees to control and
prevent an environment where feelings of rejection, prejudice,
and misunderstanding manifests itself, and thus preclude meaning
in work to foster (Ghadi et al., 2013).
Trust in leadership and well-beingPrevious research has found that employee trust in their leader
mediate the association between TL and employee well-being (Liu
et al., 2010; Kelloway et al., 2012). According to Liu, Siu, Shi
(2010) and Kelloway et al. (2012) employees who trust their
leader experience a sense of safety and comfort. This is because
employees feel their leader cares about them, and therefor feel
less exposed to being harmed by their leader, which leads to an
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increase in psychological safety. When the sense of risk and
vulnerability is limited, through trust, it affects followers’s
psychological well-being (Kelloway et al. 2012). To the
contrary, Dirks & Ferrin (2002) argue that employees can
experience a sense of psychological distress if they do not
trust their leaders which can negatively affect their well-
being. Kelloway et al. (2012) suggest that employees are
consumed by emotional and cognitive energy when they distrust
their leader, because their emotional and physical resources
becomes reduced when the then attempt to safeguarding themselves
from their leader.
Meaningfulness and well-beingResearchers (e.g., Frank, 1963) argue that finding meaning in
different events increases peoples will to live (Arnold et al.,
2007) and recognizes the benefits in stressful circumstances
(Britt et al., 2001). The literature generally recognizes that
people make evaluation of their life in affective terms i.e. as
the experience of unpleasant or pleasant emotions in reaction to
life (Diener, 2000). Based on the circumplex model, work
engagement is a sign of positive affective well-being, which is
characterized by enthusiasm, energy and happiness, and the
opposite of burnout, sadness and tiredness. Furthermore, Kahn’s
model of work engagement, propose that meaningfulness, together with
psychological safety and availability, are antecedent to work
engagement. Studies have found positive association between
engagement and health (e.g., Hallberg & Schaufeli, 2006;
Schaufeli et al., 2008). For instance studies conducted by
Demerouti et. al. (2001) and Rothbord (2001) found that those
scoring high on engagement measures experience better physical
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and psychological health, and other studies have found that
those that are engaged in their jobs, see their work as
meaningful, relevant, and personally important (Britt, Adler, &
Bartone, 2001). A study conducted by May et al. (2004) found
that psychological meaningfulness was the strongest predictor
(37% of the variance) of work engagement, and research conducted
by Ghadi, Fernando, & Caputi (2013) found that perception of
meaning in work mediated the relationship between TL and work
engagement. Westaby, Versenyi, & Hausmann (2005) study found
that intrinsic reasons for working, such as finding work as
meaningful, was predictive of intention to work in individuals
who were suffering from terminal illness. To the contrary,
employed people compared with unemployed, experienced better
psychological health (Arnold et al., 2007). According to
Winefield & Tiggemann (1990) employment after graduating school
has a positive effect on well-being (Arnold et al., 2007).
Job satisfaction and well-beingResearch has shown that there is a strong link between job
satisfaction and people s health and well-being. For instance a
meta-analysis conducted by Fargher, Cass & Cooper (2005) on 485
cross-sectional studies found a correlation between job
satisfaction and a variety of different health outcomes. These
include outcomes such as burnout, self-esteem issues,
depression, anxiety, and physical well-being. The researchers
proposed that job satisfaction can have a positive affect on a
person’s feelings about themselves and their life, which
eventually reduces their health, especially their mental health
(Fragher et al., 2005). Thus, the authors concluded that job
satisfaction plays an important role for determining individual
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well-being. They further argue that there are good enough
reasons to hypotheses that job satisfaction is a causal
influence on health and mental well-being (Fragher et al.,
2005).Other researchers have also highlighted the causal
influence job satisfaction has on health and well-being. For
instance, Kelloway and Barling (1991) identified job
satisfaction as a key factor influencing people’s mental health.
In addition, Zhai et al. (2013) proposed that job satisfaction
can “spill over”, and influence subjective well-being.
A study conducted by Kern et al. (2014) indicated that positive
emotions at work and physical health is positively correlated
with job satisfaction, and negative emotions, whereas somatic
symptoms were negatively related to job satisfaction. Based on
all of these theoretical and empirical explanations, this paper
expects to find a positive correlation between TL and all three
mediating variables, and between all mediating variables and
well-being, and therefor hypotheses to find a significant
mediation between TL and well-being.
H2: Employee trust in their leader will mediate the relationship between perceived transformational leadership and well-being
H3: The relationship between perceived transformational leadership and well-being is mediated by the experience of meaningful work
H4: The relationship between perceived transformational leadership and employee well-being ismediated by job satisfaction
Method
ParticipantsThe subjects in this study are all staff working in a large
public psychiatric hospital. The hospital is divided and located
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in three different cities within a specific county in Sweden.
Each city is similarly populated. The hospital provides both
adult outpatient clinic and general psychiatric clinic. Care in
the outpatient clinic caters to people with mental health
problems, with or without referral, that require specialist
care. Care in a general psychiatric unit offers care and
treatment for various psychiatric conditions e.g. depression,
anxiety, mania. Questionnaires were distributed to 200
employees, and 82 were returned, yielding a response rate of 41
%. The study participants were predominantly female (80 %), and
the
average age between 41-45 (M = 5,1, SD = 2,61) and they have been
working in this particular workplace on average between 2-5
years (M = 3,5, SD = 1,83). The majority were healthcare’s (47
%), 22 % nurses, 19 % psychiatric nurses, 6% medical secretary,
3 % occupational therapist, 2 % psychologist, 1 % social
workers. Eight managers in total were rated by their employees.
ProcedureThe HR department of the hospital was approached via email and
telephone by the researcher asking whether they wanted to take
part in the study. The study was introduced to the subjects by
their respective leader, thus each leader received a letter
detailing the purpose of the study from the researcher. The
questionnaires were then handed out to the subjects by their
respective leaders. In order to adhere to ethical principles,
each questionnaire included an introduction which highlighted
the purpose of the study, confidentiality and anonymity, and1 Age was divided into nine categories. M =5,1 represent the fifth category which include age between 41-45
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their right to withdraw from the study. The respondents were
reminded that this study intend protect respondents' and the
organizations identity. Due to the sensitive nature of rating
one’s own boss, the subjects were urged to hand in their answers
in an envelope with the researchers address on it, in order to
further assure their anonymity. However, one of the subjects did
report to the researcher that this procedure was not followed
within one unit. However, the researcher contacted HR and all
leaders were reminded again via email to provide an envelope for
all subjects taking part in the study. No other complains
emerged.
MeasurementsThe TL, trust in leadership and job satisfaction scales, were
translated into Swedish, and back translated into English by the
researcher. These scales were later reviewed by English to
Swedish translation expert, and by the supervisor of this
thesis. Based on their feedback, some corrections were made. All
six scales were piloted for this particular study on a small
group of Swedish speaking participants (n=7), in order to ensure
that the questions were understandable. The first participant,
provided some feedback, and some additional corrections were
made. The remaining six participants found that the
questionnaire was not too long and the questions were
understandable.
Transformational leadership This was measured using the Global
Transformational Leadership Scale (GLT) developed by Carless, Wearing, and
Mann (2000). The instrument includes seven items which measures
all underlying dimensions of TL including vision, employee
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development, supportive leadership, empowerment, innovation or
lateral thinking, led by example or role modelling and
charismatic leadership (Carless, et al., 2000). Examples of
items are ‘‘My leader communicates a clear and positive vision of the future’’ and
‘‘My leader encourages thinking about problems in new ways and questions
assumptions.’’ Response categories ranged from 1= To a very small
extent, to 5= to a very large extent. The GLT has been found to
have higher convergent validity than the Multifactor Leadership
Questionnaire (MLQ) (Carless, et al., 2000). Furthermore,
previous chronbach alpha for this scale was calculated as .93,
which indicates that the GLT is a highly reliable measure of TL.
Carless et. al. (2000) also reported significant Discriminant
validity for this scale when the test compared groups of
managers who would be expected to have different scores on the
GLT. Furthermore, they also tested for convergent validity which
indicated that the GLT was highly correlated with other TL
measures such as the MLQ and the Leadership and the Leadership
Practices Inventory (LPI). Chornbach alpha calculated in this study
was .96.
Well-being
DNA. The health section of the Det nya arbetslivet (DNA) instrument was
used to measure well-being. It was developed by Metodicum and The
stress research institute part of Stockholm University, based on good
theoretical foundations. Four subcomponents out of the eight
components included within the health section of DNA were used
for this particular study; 14 items measuring emotions at work,
three items measuring psychosomatic stress, three items
measuring cognitive stress, and one item measuring general
health. Response rate on the emotions at work scale ranged from
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1= to a very high degree, to 4= to a very low degree/not at
all. Example of an item is “to what extent do the following words describe
how you feel during a normal working day at the job: Happy”. The psychosomatic
stress was reported on response scale which ranged from 1 = yes,
to 4 = No almost never/never. An example of an item is “How often,
during the last three months have you had headache?” Response rate on the
cognitive complaints scale ranged from 1 = always, to 5 = never.
Example of an item is “How often, during the last three months, have you had
problems with concentration?”. This instrument has been found to have
good validity and reliability. The questions included in DNA are
also included in The Swedish Longitudinal Survey of Occupational
Health (SLOSH) (Oxenstierna et al., 2008). Previous chronbach
alpha for psychosomatic stress has been found to be .68, and .88
for cognitive stress (Oxenstierna et al., 2008). Chornbach alpha
found in this study include .59 for emotions at work, however
the mean inter-item correlations for this scale was 2.7 with
values ranging from 1.8 to 3.7. For psychosomatic stress
chronbach alpha was found to be .66 and .83 for cognitive
stress.
COPSOQ II. Questions in the wellbeing scale revolving stress,
burnout, and sleep problems were taking from the Swedish version
of The Copenhagen psychosocial questionnaire (COPSOQ II). This instrument was
developed by the National research centre for the working environment (NRCWE).
Each scale had four items with five response options which
ranged from 1= Always, to 5= Never/hardly ever. Examples of
items include “How often have you had problems relaxing?”, “How often have
you felt worn out?”, and “How often have you found it hard to go to sleep?”. The
instrument, has been found to show good validity and reliability
(Bjorner & Pejtersen, 2010; Thorsen & Bjorner, 2010). COPSOQ is
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based on good theoretical foundations, and has been used in
several studies (e.g. Aust et al., 2007; Kristensen et al.,
2005; Nielsen et al. 2008). Furthermore, Bjorner & Pejtersen
(2010) found that external variables such as gender, age,
education, social class, employment in private or public sector
had no statistical significant differential item functioning
(DIF) effect on all three scales. On a population of n= 3517,
Pejtersen et al. (2010) found high Chronbach alfa levels of .83
for burnout, .86 for sleep and .91 for stress. Chronbach alpha
in this study was found to be .57,. 82, and .64, respectively.
Job satisfaction. The satisfaction with job facet questionnaire developed by
Andrew and Withey (1976) was used for this study. The measure
uses five items to measure satisfaction with specific job facets
such as work in general, work demands, work environment, work
supervision, and the work itself (Fields, 2002). Answers for
this measurement was reported on a scale ranging from 1 =
terrible, to 7 = delighted. Examples of item is “How do you feel
about your job?” and “What is it like where you work --- the physical surroundings, the
hours, the amount of work you are asked to do?”. The scale has both good
reliability and validity. The questionnaire has been found to
positively correlate with organizational commitment, supervisory
rated performance, positive conversations with boss, amount of
decision making, and mental efforts required (Fields, 2002). The
measure has also previously been found to positively correlate
with satisfaction on scales from the Minnesota satisfaction questionnaire
and the job descriptive index (JDI) (Fields, 2002). It has also been found
to correlate with JDI work facets such as pay, supervision,
promotions, co-workers, and the work itself (Fields, 2002).
Previous studies conducted by McFarlin & Rice (1992), Rentsch &
20
Steel (1992) Steel & Rentsch, (1995, 1997), found that chronbach
alpha levels for this scale range from .79 to .91 (Fields,
2002). Chronbach alpha in this study was found to be .83.
Trust in leader. The managerial interpersonal trust instrument developed by
McAllister (1995) was used in this study to measure subordinates
trust in their leader. This instrument measures two dimensions
of trust including affective and cognitive trust. A total of six
items were used to assess affective trust e.g. “ I can talk freely to this
individual about difficulties I am having at work and know that (s)he will want to listen”
and five items to asses cognitive trust e.g. “Given this person’s track
record, I see no reason to doubt his/her competence and preparation”. Answers for
this measurement was rated on a scale ranging from 1= strongly
disagree to 7= strongly agree. The instrument has acceptable
convergent, discriminant, nomological validity (McEvily &
Tortoriello, 2011). The instrument is based on good theoretical
foundation, and initially the instrument was tested within an
organizational context (McAllister, 1995). The instrument has
also been used in over 12 studies (Dietz et al., 2006).
Furthermore, the instrument showed a good reliability.
McAllister (1995) conducted a confirmatory factors analysis on
this instrument, and the analysis showed that chronbach alpha
levels for all items met or exceeded .90, which indicates that
the measure meets the standard criteria for acceptability
(McAllister, 1995). Chornbach alpha in this study indicated .93.
Meaningfulness at work. This was measured by using the
subcomponent Meaningfulness part of the Swedish version of The
Copenhagen psychosocial questionnaire (COPSOQ II). Three items were used to
measure meaningfulness at work e.g. “Is your work meaningful?” and
21
answers for this measure were rated on a scale of 1=To a very
small extent and 5= To a very large extent. Chronbach alpha
levels for this scale has been found to range from .66 to .63,
in a longitudinal study with a similar RQ as in this current
study (Nielsen et al., 2008). Furthermore, it has been used in
several different countries including Sweden as well as within a
variety of both private and public occupational sectors
including the health services. It has also been tested across
different professions, age, and gender (Nielsen et al., 2008).
Chornbach alpha in this study indicated .85.
Data analysisA parallel multiple mediation analysis with the bootstrapping
method (Preacher & Hayes, 2008) was performed. Mediation
analysis is a statistical method used to help answer the
question to how the causal or antecedent variable TL (x)
transmit its effect on well-being (Y), by adding a third
mediating variable (s) (M) which may explain that relationship
(Field, 2013; Hayes, 2013). The conceptual model test mediation
through a series of regression models. These models indicate the
relationship between the antecedent variable and the outcome
variable, which must show a significant direct effect in order to
perform a mediation analysis. The models also indicate whether
these two variables are related to a third intervening variable
(s) i.e. the mediator, in a specific way. Lastly, the models
show whether the relationship between antecedent variable and
outcome variable is different when the mediator is included in
the model, and the other mediators in the model are hold
constant. This is called an indirect effect. The analysis examines
these following pathways:
22
a) The relationship between TL and employee well-being (Path c)
b) The relationship between TL and M (Path a)
c) The relationship between M and employee well-being (Path b)
d) The relationship between TL and employee well-being, when Mis included in the model, and all other mediators are hold constant (Path c’)
Thus, a full mediation is said to have occurred when TL and
employee wellbeing is no longer associated when the mediation
variable is accounted for in the model (i.e. regression for path
c’ is insignificant). A partial mediation has occurred when TL
predicts well-being much less when the mediation variable is in
the model (i.e. regression for part c’ is less than for path c).
Prior to conducting the main mediation analysis all variables
were tested for correlation using Spearman’s correlation
coefficient test.
ResultsAs part of the preliminary analyses descriptive statistics were
computed. A reliability test was performed in order to test the
reliability of all the scales, the results were mentioned in the
method section, and the test showed that all scales had
acceptable chronbach alpha values. However the emotions at work
component of the DNA scale and the burnout component of the
COPSOQ II scale, had relatively low chronbach alpha values and
inter-item correlation for the emotions scale exceeded 1.00.
Thus, this may effect the reliability of these two scales. All
the variables were tested for heteroscedasticity, and the Anova
test was insignificant F (4, 31) = .199, p = .937 and thus H0 of
23
homoscedasticity assumption was accepted and H1 for
heteroscedasticity was rejected. All variables were assessed
for skewness and kurtosis. As trust in leader scale, TL and
meaningfulness was positively skewed, and both Kolmogorov-
simirnov and Shapiro walks test for normality was significant
for these respective scales, the data violated the assumptions
for a parametric normal distributional test. Thus, all variables
were tested for correlation using Spearman’s correlation
coefficient test (see table 1). The results indicated that there
was a strong, positive monotonic correlation between TL and
employee well-being (rs= .403, p < .001), TL and trust in leader
(rs = .830, p < .001), TL and job satisfaction (rs = .545, p
< .001), but no significant correlation was found between TL and
employees sense of meaningfulness at work (rs = .138, p = n.s.).
Contrary to expectations, the test indicated that there was no
significant relationship between meaningfulness at work and
well-being (rs= .194, p = n.s.). However, the test indicated that
there was a positive relationship between trust in leader and
employee well-being (rs= .309, p < .005), well-being and job
satisfaction (rs= .47, p < .001).
Table 1. Mean, Standard deviations, minimum and maximum values, and
intercorrelations
Scale M SD Min Max 1 2 3 4 5
1.Meaningfulness 12.5 1.9 6 15
2.Trust in leader 49.6 13.5 14 73.14
3.Jobsatisfaction 25.0 3.8 15 35.39** 46**
24
4.Transformational 23.7 7.2 7 35.13 .83** .54** Leadership5.Well-being 108.0 11.0 82 128.19 .30** .47** .40** -
Note: N for correlations = 82M= MeanSD= Standard diviation**p <.01 (2-tailed) *p <.05 (2-tailed)
A parallel multiple meditational analysis with 1000 bootstraping
was run. As can be seen in figure 1 and Table 2, the results
revealed that when controlling for other mediators in the model,
and for cofounding variables such as workplace tenure, time spend
with the boss, and age, there was a significant relationship
between TL and job satisfaction (a3 = 0.254, p < .001), and job
satisfaction and employee well-being (b3 = 1.143, p = .003). Path
c was also significant, which indicated that there was a direct
relationship between TL and employee well-being (c = .53, p <.05),
Based on these significant results, a mediation analysis was
conducted to test whether path c significantly changed when job
satisfaction was included in the model (path c'). The test showed
that job satisfaction fully mediated the relationship between TL
and employee well-being, as the direct relationship between TL
and employee well-being changed from significant (c = .53, p
< .05) to insignificant path c' 2(b= 0.460, p =.215 ). There for
the test shows that there is a significant indirect effect of TL
on employee well-being through job satisfaction, b = 0.285, 95 %
CI [0.10, 0.54], sobel test also indicated a positive mediating
effect (SE= .114, z = 2.49, p <.05) with an effect size of 28, 5
%. Thus, the test accepts both H1 and H4. Consistent with the
2 The b- values are the unstandardized regression coefficient that indicates the strength of relationship between a given predictor of many and an outcome in the units of measurement s of the predictor. It is thechange in the outcome associated with a unit change in the predictor (Field, 2013)
25
spearman’s correlation test mediation analysis indicated that the
relationship between TL and trust in leadership was significant
(a1 = 1.66, p < .001), and regression model showed that perceived
TL behaviours explains about 81.1 % of the variance in employee
trust in their leader (R2 = 0.811, F (4, 74) 0 79.4, p <.001).
However, the relationship between trust in leader and employee
well-being (b1 = -.120, p =.531), and the indirect effect of TL on
employee well-being through employee trust in leadership was
insignificant b = -.207, 95 % CI [-.74, .32]. Thus, the test
rejects H2. Contrary to expectations, the test indicated that
there was insignificant relationship between TL and
meaningfulness (a2 = .110, p = 0.25), employees sense of
meaningfulness at work and their well-being (b2 = -0.175,
p= .794.). Thus, the test also rejects H3, as no significant
meditational effect of TL on employee well-being through
employees’ sense of meaningfulness at work b = -.003, 95 % CI
[-.12, .02].
Table 2 Regression coefficients, Standard Errors, and model summary information
M1(Trust) M2 (Meaningfulness) M3 (Job satisfaction) Y(well-being)
Antecedents Coeff. SE p Coeff. SE p Coeff. SE p Coeff. SE p
X (TL (a1) 1.660 .093 <.001 a2 .0110 .023 .525 (a3) .254 .053 <.001 (c’) .460 .360 .215
M1 - - - - - - - - - b1 -.120 .190 .531(Trust) M2 - - - - - - - - - b2 -.175.670 .794
26
(Meaningfulness) M3 - - - - - - - - - b3 1.143.372 .003(Job satisfaction)
Constant iM1 10.34 2.310 <.001 im2 11.98 .731 <.001 im3 18.99 1.306 <.001 iy 76.41 .186 .531
R2= 0.811 R2= 0.118 R2= 0.251 R2=0.263
F (4, 74)=79.4, p <.001 F(4,74)= 2.48, p= .054 F (4,74)= 6.21, p < .005 F(7,71)=3.63, p < .005
Figure 1: A statistical diagram of the parallel multiple mediator model
b = 1.66, p <.001 b = -.120, p = .531 (n.s.)
Direct effect (X on Y) b = 0.460, p =.215 (n.s) Indirect effect (M3) b = 0.285, 95 % CI [0.10, 0.54]
b =0.254,p <.001 b =1.143, p < .003
b =0.110, p = .25 (n.s.) b = -0.175, p = .794 (n.s)
DiscussionThe aim of this study was to investigate the relationship
between TL and employee well-being, and to examine the mediating
role of meaningfulness, trust in management, and job
satisfaction between these two variables. From a parallel
27
Trust inleadership
Transformational
leadership
Well-being
Jobsatisfactio
n
Meaningfulness at work
multiple mediation analysis the result indicated that TL
significantly correlated with employees trust in leader,
employee job satisfaction, and employee well-being. In addition,
TL indirectly influenced employee well-being through its effect
on employee’s job satisfaction. The significant mediation
results indicates that as exhibiting TL behaviours in the
workplace such as, communicating a shared vision, coaching and
mentoring, and encourage employees to engage in problem solving
may increase employees job satisfaction, which then “spill over”
and increases employee well-being. Although, generally
meditational effects are conceptualized as causal (Arnold et
al., 2007), the proposed model is based on cross-sectional data.
Therefor this study does not conclude any causational effect
based on these results. Future research should use longitudinal
analyses in order to account for variation over time, which may
help to conclude causal interferences of TL on employee well-
being through job satisfaction. Nevertheless, this model
provides further understanding, and a good basis for future
studies to investigate this further in order to get a better
understanding of the relationship between these three variables.
Contrary to previous research (e.g. Liu et al., 2010; Arnold et
al., 2007; Nielsen et al., 2008; Kelloway et al., 2012) and H2
and H3, the mediation analysis did not find that TL effects
employee wellbeing through employees trust in their leader and a
sense of meaningfulness at work. Using spearmans correlation
test, a positive correlation was found between trust in
leadership and employee well-being. However, the mediation
analysis indicated that trust in leader was not significantly
correlated with employee well-being, which indicates there is no
mediation. It possible that path b was not statistically
28
significant due to multicollinerity between TL and Trust in
leader, as these two variables were found to be highly
interrcorrelated .81. If TL explains all the variation in
employee well-being, there will not be any unique variation
caused by employees trust in leader, which may explain the
variance in employee well-being. The measurement scales used in
this study for TL and trust in leadership are quite problematic,
as they ask fairly similar questions. Thus, it could be possible
that these two variables in reality can be equally regarded as
one predictor variable. A study conducted by Arnold et al.
(2007) found that mediation between TL and wellbeing, through
trust in leadership was only significant at the individual
level, and not the group level. The researchers concluded that
it is the individual experience with a particular leader that
predicts employee well-being, rather than the shared perception
among employees of a particular leader (Arnold et al. (2007).
Based on this logic, another plausible explanation of the
insignificant results could be that there might be some
individual differences that are not present in the model, which
may affect whether a participant trust in leader will affect
their well-being.
Similar reasons may explain the insignificant mediation found
for the variable meaningfulness. Individual differences in work
values i.e. employees implicit beliefs whether work should be
meaningful, may have influenced the relationship between
meaningfulness and employee well-being. Future studies may also
want to include other covariates, in order to find different
results. Because the relationship between TL and meaningfulness
at work has previously been found, it could also be possible
that the conceptualization of the meaningfulness scale used in
29
this study did not correlate with TL. Thus, future research
should consider other measures of meaningfulness which taps into
different conceptualizations, in order to find a relationship
between these two variables (Arnold et al., 2007).
Study limitations
There are some limitations to this study which should be
considered for those interpreting the results. Firstly, it is
important to note that the sample size is small (N=82) in
regards to the aims of this study and the statistical
methodology. According to Ma & Zeng (2014) the sample size in a
study needs to be sufficient enough to reach an adequate
statistical power of 0.8. Statistical power helps calculate the
probability of accepting an alternative hypothesis after
rejecting a false null hypothesis. Therefor it is important to
calculate power analysis for a multiple mediation model prior to
data analysis. This way one is able to confirm how many samples
are required and decide whether to increase sample size in order
to reach a power of 0.8. Although bootstrapping method was
applied in this study, power analysis was not conducted, which
increases the risk of making a type II error and thus may impact
the interpretation of the results. According to Ma & Zeng (2014)
low power is one possible reason for no statistically
significant results being identified in a study. Based on these
arguments, this study may have underestimated the existence of a
meditational effect of meaningfulness and trust in leadership
variables due to the small sample size. Secondly, even though
the measurement of well-being used both context free and context
related assessments of well-being, it did not include object
30
measurements e.g. blood pressure, and other measures taping into
subjective well-being e.g. life satisfaction.
Thirdly, the results are found based on cross-sectional data as
mentioned earlier, but also the data rely on answers on all
scale from a single source. This raises the risk that the
relationship found between the variables in this study is
influenced by common method variance. Although most of the
measures had good reliability except the emotions at work
component, and burnout, and validity, it may have been possible
that the length of the questionnaire affected the response rate,
as only 41 % answered the questionnaire. The lengthy
questionnaire could have also affected the answers on the
questions. The low response rate could also be due to the fact
that I was not present at the work place the data was collected
from, but rather the data was distributed by the participant’s
bosses. Another limitation is that one leader was collecting the
data at his/her office, rather than providing an envelope to the
employees. Due to the sensitive nature of the study questions
and that participants (employees) were asked to rate their
leader, it could have affected the response rate and may also
have skewed the data. Unfortunately I was unable to perform a
statistical test which could have explored for any differences
among groups of employees. This is because it was impossible to
trace which sample belonged to what particular leader, as the
samples were mixed and arrived in an envelope.
Theoretical implications and future research
31
The findings of this study have some important theoretical
implications, as it is able to support previous research (e.g.
Liu et al., 2010) which have found a significant correlation
between TL and the mediating variables. The results also
supports previous researchers who have found that TL is related
to an increase in job satisfaction (e.g. Podsakoff et al.,
1996), and proposed that job satisfaction may cause employee
wellbeing (e.g. Fragher et al., 2005). Furthermore, these
results adds to the current literature as it demonstrated that
it is possible to consider job satisfaction also as a potential
mediator rather than just as an antecedent variable or an
outcome variable of TL and employee well-being.
Theoretically, job satisfaction in this study was measured based
on components such as satisfaction with work in general, work
demands, work environment, work supervision, and the work
itself. Because the TL measurement in this study refers directly
to the supervisors behaviour, it is possible that TL had a
strong direct effect on one component of the job satisfaction
measure i.e. satisfaction with work supervision (Liu et al.,
2010). Furthermore, the current literature suggests that certain
components of TL inspirational motivational and individualized
consideration increases employee’s job satisfaction.
Although the aim of this study was not to investigate different
forms of TL and job satisfaction, the measurements used in this
study may suggest that certain facets of TL and job satisfaction
correlated with each other. Future research should examine these
elements, in order to extend our theoretical knowledge regarding
which specific aspects of TL influences particular facets of
work which are relevant for employees’ satisfaction. This is
32
important for both practical and scientific reasons. Firstly, in
addition to increasing our theoretical knowledge of the
relationship between these variables, researchers are able to
improve and use appropriate measurements of TL and job
satisfaction in line with their research question. Secondly,
practitioners in organisations are able to design goal specific
interventions. For example, if the aim is to increase employee
satisfaction through improving relationships between supervisors
and employees, interventions could focus on coaching specific TL
behaviours which are in line with their goal.
Future research could also focus on investigating the effects of
intervention programs that aim towards developing leaders
transformational behaviours. Leadership development focus on
changing the leaders in order to change the employees, however
it could also be possible that leadership development influence
leaders own well-being, as they enhance their attitudes and
self-efficiency. Furthermore, leaders own perception of their
psychosocial environment may also influence whether they exhibit
TL behaviours. Thus, it would be interesting if future research
investigate what workplace factors encourage such behaviours,
and how leaders own well-being is influenced by this process.
This may provide further information on how leaders TL
behaviours can be encouraged, and provide a more holistic
picture of how TL and employee well-being can be promoted in the
workplace.
ConclusionsDespite the limitations in this study, the results provide some
theoretical contribution to the field. Firstly, this study was
able to replicate previous findings which demonstrate a positive
33
relationship between TL and employee well-being. Secondly, the
results also extend the research area in the sense that it has
increased our knowledge about the mechanisms involved of the
influence TL behaviours have on employee well-being. In
addition, this research paper also provides some practical
contributions. The results suggest that it is possible to
increase employees’ well-being, through leadership development
interventions which effects employees’ perceptions of their
psychosocial work environment. Organisations and employees can
benefit from leadership training, which focus on applying
positive TL behaviours e.g. communicating a shared vision. This
way, organisations’ is able to implementing individual-level
intervention on a small group, rather than organizational-level
interventions that may involve the whole workforce. This makes
interventions easier to control and organizations are also able
to be both cost effective and efficient enough to increase the
work force well-being. Organisations can also make these
transformational behaviours more sustainable in the long term by
using goal setting interventions. Thus, transformational
training can be added into supervisors and managers yearly
developmental assessments such as 360-degree feedback
instruments and managerial skills surveys.
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