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Page 1: The mediating effect of job satisfaction between emotional intelligence and organisational commitment of nurses: A questionnaire survey

The mediating effect of job satisfaction between emotional

intelligence and organisational commitment of nurses:

A questionnaire survey

Guldal Guleryuz a,*, Semra Guney b, Eren Miski Aydın b, Oznur Asan b

a Hacettepe University, Department of Industrial Engineering, 06800 Ankara, Turkeyb Hacettepe University, Department of Business Administration, Turkey

Received 23 May 2007; received in revised form 30 January 2008; accepted 1 February 2008

www.elsevier.com/ijns

Available online at www.sciencedirect.com

International Journal of Nursing Studies 45 (2008) 1625–1635

Abstract

Background: The effect of emotional intelligence and its dimensions on job satisfaction and organisational commitment of

nurses has been investigated in this study.

Objectives: This paper examines the relations among emotional intelligence, job satisfaction and organisational commitment of

nurses and the mediating effect of job satisfaction between emotional intelligence and organisational commitment.

Design: A questionnaire survey was carried out to explore the relations between emotional intelligence, job satisfaction and

organisational commitment.

Setting: Teaching hospital in Ankara, Turkey.

Participants: Questionnaires were distributed by Nursing Services Administration to 550 nurses working at different

departments of the hospital and 267 questionnaires were analyzed.

Methods: A 45-item questionnaire which consists of emotional intelligence, job satisfaction and organisational commitment

parts was carried out to investigate the relations among these variables. Some basic socio-demographic questions were included.

Results: Emotional intelligence was significantly and positively related to job satisfaction ðr ¼ 0:236; p � 0:01Þ and

organisational commitment ðr ¼ 0:229; p � 0:01Þ. The positive relation between job satisfaction and organisational commit-

ment was also significant ðr ¼ 0:667; p � 0:01Þ. Job satisfaction was found to be related with ‘‘regulation of emotion (ROE)’’

ðr ¼ 0:228; p � 0:01Þ and ‘‘use of emotion (UOE)’’ ðr ¼ 0:155; p � 0:01Þ but not with other dimensions of emotional

intelligence. ‘‘Others’s emotional appraisal’’ did not have any relations with job satisfaction or organisational commitment and

‘‘self-emotional appraisal (SEA)’’ was found to be a suppressor.

Conclusion: It was found that job satisfaction is a mediator between emotional intelligence and organisational commitment.

The other finding of the study was that ‘‘SEA’’ and ‘‘UOE’’ have direct effects on organisational commitment whereas job

satisfaction is a mediator between ‘‘regulation of emotion’’ and organisational commitment.

# 2008 Elsevier Ltd. All rights reserved.

Keywords: Emotional intelligence; Job satisfaction; Organisational commitment; Mediating effect; Nursing

* Corresponding author. Tel.: +90 312 2978705.

E-mail address: [email protected] (G. Guleryuz).

0020-7489/$ – see front matter # 2008 Elsevier Ltd. All rights reserved

doi:10.1016/j.ijnurstu.2008.02.004

What is already known about the topic?

� Emotional intelligence is an important concept for nursing.

.

� O

rganisational commitment is a variable affecting orga-

nisational effectiveness and efficiency.

Page 2: The mediating effect of job satisfaction between emotional intelligence and organisational commitment of nurses: A questionnaire survey

G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–16351626

� J

ob satisfaction and organisational commitment of nurses

are positively correlated.

What this paper adds?

� The relations among emotional intelligence, job satisfac-

tion and organisational commitment have been analyzed

simultaneously.

� J

ob satisfaction was found to be a mediator between

emotional intelligence and organisational commitment.

� ‘‘

Self-emotional appraisal’’ and ‘‘use of emotion (UOE)’’

dimensions of emotional intelligence have direct effects

on organisational commitment, whereas ‘‘regulation of

emotion (ROE)’’ dimension has effect through job satis-

faction.

1. Introduction

Emotional intelligence, job satisfaction and organisa-

tional commitment are of particular importance to health-

care organisations. Employees in turbulent environments are

struggling to maintain high quality patient care with fewer

resources (Laschinger et al., 2001). Since hospitals are a

major pillar of an effective health care system and nurses

provide a crucial primary-care-giver function within hospi-

tals, the attraction and retention of nurses to hospital envir-

onments remain a critical research issue (Tallman and

Bruning, 2005). The focus of this research is to investigate

the relations among emotional intelligence, job satisfaction,

organisational commitment and the mediating effect of job

satisfaction between emotional intelligence and organisa-

tional commitment. These three concepts are thought to

affect organisational effectiveness and efficiency.

One of the most provocative ideas to emerge from recent

discussions of management concerns the possibility that a

new form of intelligence pertaining to emotions is related to

the performance of organisation members. According to this

idea, some organisation members may perform effectively

because they have high emotional intelligence (Cote and

Miners, 2006). The recent years have seen a growing interest

in emotional intelligence (Mayer et al., 2003). The notion of

emotional intelligence was first introduced by Salovey and

Mayer in 1990 and since then has become increasingly

popular within industrial and organisational psychology as

a psychological determinant of occupational success (Pal-

mer et al., 2003; Ciarrochi et al., 2000). Salovey and Mayer

(1990) defined it as ‘‘the subset of social intelligence that

involves the ability to monitor one’s and others’ feelings and

emotions, to discriminate among them and to use this

information to guide one’s thinking and actions’’ which is

perhaps the most widely accepted scientific definition of

emotional intelligence (Zeidner et al., 2004). Emotional

intelligence is conceptualized as composed of four distinct

dimensions (Wong and Law, 2002)

(1) Appraisal and expression of emotion in the self (self-

emotional appraisal, SEA): This relates to the indivi-

dual’s ability to understand their deep emotions and be

able to express these emotions naturally. People who

have great ability in this area will sense and acknowl-

edge their emotions better than most people (e.g., ‘‘I

have a good sense of why I have certain feelings’’).

(2) A

ppraisal and recognition of emotion in others (others’

emotional appraisal, OEA): This relates to peoples’

ability to perceive and understand the emotions of those

people around them. People who are high in this ability

will be much more sensitive to the feelings and emotions

of others as well as reading their minds (e.g., ‘‘I always

know my friends’ emotions from their behavior’’).

(3) R

egulation of emotion in the self (regulation of emotion,

ROE): This relates to the ability of people to regulate

their emotions which will enable a more rapid recovery

from psychological distress. (e.g., ‘‘I am able to control

my temper and handle difficulties rationally’’).

(4) U

se of emotion to facilitate performance (use of emo-

tion, UOE): This relates to the ability of individuals to

make use of their emotions by directing them towards

constructive activities and personal performance (e.g.,

‘‘I would always encourage myself to try my best’’).

Emotional intelligence affects a wide array of work

behaviors, including teamwork, development of talent, inno-

vation, quality of service and customer loyalty (Zeidner

et al., 2004). It can also predict crucial work related out-

comes such as job satisfaction (Prati et al., 2003; Abraham,

2000) and organisational commitment (Gardner, 2003).

The second variable of the study, job satisfaction, is the

degree to which employees have a positive affective orienta-

tion toward employment by the organisation. Herzberg

(1968) who is a well known contributor to the theory of

motivation, introduced the ‘‘two factor theory’’, one refers to

‘‘hygiene’’ factors that are extrinsic to the job (company

policy and administration, supervision, relationship with

supervisor, work conditions, salary, relationship with peers,

personal life, relationship with subordinates, status, security)

and the other one is known as ‘‘motivators’’ that are intrinsic

to the job (growth, advancement, responsibility, work itself,

recognition, achievement). According to Herzberg (1968),

extrinsic factors cause job dissatisfaction whereas intrinsic

factors cause job satisfaction, in other words the opposite of

job satisfaction is not job dissatisfaction but no job satisfac-

tion. To increase job satisfaction, a central platform of

contemporary job design is the concept of job enrichment.

An assumption that employees desire an enriched job has

underpinnings in the pioneering work of Herzberg. Building

on the conceptions of these earlier researcher Hackman and

Lawler and later Hackman and Oldham presented an influ-

ential statement about job enrichment (Pearson and Chong,

1997). Despite its considerable merit, according to Hackman

and Oldham (1980) there are several difficulties with Herz-

berg’s two factor theory that compromise its usefulness.

In nursing literature, job satisfaction has been recognized

as one of the important factors influencing nurses’ desire to

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–1635 1627

remain in nursing (Wu and Norman, 2006) which can be

defined as significant, therapeutic interpersonal process

(Cadman and Brewer, 2001). A number of nursing research

studies are devoted to nurse job satisfaction as it relates to a

wide range of issues in the work environment (Williams,

2005). The study of nursing job satisfaction has focused on

both outcomes and antecedents of job satisfaction (Laschin-

ger et al., 2001). Blegan (1993) identified 13 predictors of

nursing satisfaction which are the personal attribute vari-

ables or personality traits such as age, education, years of

experience and locus of control, and organisational variables

such as supervisor communication, commitment, stress,

autonomy, recognition, routinization, peer communication,

fairness and professionalism. The meta-analysis of nurse

satisfaction concluded that job satisfaction and organisa-

tional commitment are positively correlated with organisa-

tional variables such as communication with supervisors, job

recognition, communication and fairness among others.

Other studies mention that job satisfaction has a mediating

effect on nurse burnout in stressful work environments

(Williams, 2005; Kalliath and Morris, 2002).

The third variable, organisational commitment, can be

defined as ‘‘the strength of an individual’s identification with

an involvement in a particular organisation’’ (Porter et al.,

1974). It is an affective response to the whole organisation

and the degree of attachment or loyalty employees feel

towards the organisation. Job satisfaction and organisational

commitment are both reflecting a positive evaluation of the

job (Udo et al., 1997). Lack of organisational commitment

has detrimental effects such as increase in turnover rate and

turnover intention; higher absenteeism and tardiness; poorer

performance which are affecting organisational efficiency

and effectiveness negatively (Lum et al., 1998; Cohen and

Hudacek, 1998; Becker et al., 1996). According to

McNeese-Smith (2001) lack of organisational commitment

for nurses creates conflict with personal needs, family needs,

lack of learning, lack of appreciation and fairness, inade-

quate monetary benefits, overload and stress, poor relations

with coworkers and lack of job security in addition to

undesirable employee behaviors mentioned above.

The relations between emotional intelligence–job satis-

faction and emotional intelligence–organisational commit-

ment are limitedly investigated in the literature (Gardner,

2003). Sy et al. (2006) found that employees with high

emotional intelligence are more likely to have higher levels

of job satisfaction because they are more adept at appraising

and regulating their own emotions than are employees with

low emotional intelligence. However Abraham (2000) found

that emotional intelligence showed a stronger relationship

with organisational commitment than job satisfaction did.

The relationship between job satisfaction and organisational

commitment has been researched both in management and

nursing literature. It was suggested that satisfaction and

organizational commitment were related but distinguishable

attitudes, in that commitment is an effective response to the

entire organisation, whereas job satisfaction represents an

affective response to specific aspects of the job (Udo et al.,

1997; Lum et al., 1998). Martin and Bennett (1996) men-

tioned the four alternative models of the job satisfaction–

organisational commitment relation. (1) Job satisfaction is

antecedent to organizational commitment: Some research

suggests that job satisfaction is a determinant of organiza-

tional commitment (Porter et al., 1974; Decotiis and Sum-

mers, 1987). Mowday et al. (1982) pointed out that job

satisfaction is an antecedent variable for organisational

commitment. Yang and Chang (2007) found that job satis-

faction has an intervening effect on deep acting and orga-

nizational commitment. (2) Organizational commitment is

antecedent to job satisfaction: Some other research suggests

that organisational commitment is a determinant of job

satisfaction (Curry et al., 1986; Bateman and Strasser,

1984; Drafke and Kossen, 1998). (3) Organizational com-

mitment and job satisfaction are reciprocally related: A

number of studies found out that job satisfaction and orga-

nisational commitment are positively related (Martin and

Bennett, 1996; Schwepker, 2001). (4) Organizational com-

mitment and job satisfaction are independent: The results of

Martin and Bennett’s study (1996) have revealed that when

the justice judgements are considered, satisfaction and

commitment are causally independent.

Job satisfaction and organisational commitment are of

particular importance to health-care organisations as they

are found to influence hospital performance and productiv-

ity. Nurses have regularly been regarded as people who

obtain their satisfaction from caring for patients (Savery,

1989). Satisfied nurses are more committed to their jobs and

productive whereas dissatisfied ones experience absentee-

ism, grievances and turnover (Al-Aameri, 2000).

The main hypotheses of the study are the followings:

Hypothesis 1. Job satisfaction is a mediator between emo-

tional intelligence and organisational commitment.

Hypothesis 2. Job satisfaction is a mediator between the

dimensions of emotional intelligence and organisational

commitment.

Hypothesis 3. Aspects of job satisfaction are mediators

between the dimensions of emotional intelligence and orga-

nisational commitment.

In this study, structural equation modeling (SEM) was

used to investigate the impact of emotional intelligence and

job satisfaction on organisational commitment. SEM is a

family of statistical techniques which incorporates and

integrates path analysis and factor analysis. It is usually

viewed as a confirmatory rather than exploratory procedure,

using one of three approaches: strictly confirmatory

approach, alternative models approach and model develop-

ment approach (Garson, 2007). SEM can handle a large

number of endogenous and exogenous variables, as well as

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–16351628

latent variables specified as linear combinations of the

observed variables. It has been widely used in number of

disciplines, including banking, healthcare, information man-

agement, logistics, marketing, psychology, and tourism

management (Lu et al., 2007)

2. Methods

2.1. Study setting

There are total of seven university hospitals in Ankara,

Turkey. Since Hacettepe University hospital has more nur-

sing staff (550) than the other university hospitals, it was

chosen as the site for the questionnaire survey. The nurses

were informed by the Nursing Services Administration of

the university about the objective of the survey and that their

participation was voluntary and confidential. All the nursing

staff was invited to participate without any obligations to do

so. The data was gathered between April and June 2006.

2.2. The questionnaire survey

A total of 550 questionnaires were submitted to the

Nursing Services Administration to collect data, and 275

questionnaires were returned. Incomplete questionnaires

(n ¼ 8) were excluded from analysis and 267 fully com-

pleted questionnaires were included, with net response rate

48.5%.

The structured questionnaire consisting of 3 separate

surveys was back-and-forward translated by two different

bilingual researches following Brislin (1976)’s guidelines.

Back and forward translated questionnaire was reviewed by

experts and no changes or adaptations were recommended.

The response format was a 7-point Likert-type scale ranging

from ‘‘I strongly disagree’’ to ‘‘I strongly agree’’.

Emotional intelligence was assessed by ‘‘Emotional

Intelligence Questionnaire’’ developed by Wong and Law

(2002). The 16-item ‘‘Emotional Intelligence Question-

naire’’ was grouped into 4 of 4 questions to measure the

different dimensions of emotional intelligence: SEA; OEA;

ROE; UOE.

Hackman and Oldham (1975) developed the ‘‘Job Diag-

nostic Survey’’ which includes 80 questions grouped in eight

sections. The ‘‘Job Satisfaction Questionnaire’’ used in this

study contains all 14 questions of Section 4 of ‘‘Job Diag-

nostic Survey’’. The questionnaire contains questions to

measure both motivation and hygiene factors. Hackman

and Oldham (1980) classifies these 14 questions, and accord-

ing to Herzberg’s theory, 10 of these questions fall under

extrinsic whereas 4 questions fall under intrinsic factors. For

the current study, the questions were grouped accordingly.

The third part of the questionnaire was Mowday et al.

(1979)’s‘‘Organizational Commitment Questionnaire’’. It is

accepted as the most widely used unidimensional measure of

organisational commitment (Meyer et al., 2002).

2.3. Data analysis

Data analysis was carried out by using the statistical

program package SPSS and AMOS 5.0. p-Values equal or

lower than 0.05 were considered statistically significant.

Exploratory factor analysis was performed on all 16 of the

emotional intelligence items. Both principle component ana-

lysis (PCA) and principle axis factoring (PAF) concluded four

factors, representing the dimensions of emotional intelli-

gence, each indicator loading significantly to its hypothesized

construct. For further analysis, mean scores were calculated to

represent the dimensions of emotional intelligence (SEA,

OEA, UOE, ROE) as indicators. Second, a confirmatory factor

analysis (CFA) was performed on the dimensions of emotional

intelligence. A single factor (EI) emerged with significant

loadings of all indicators. Exploratory factor analysis on all 14

items of job satisfaction pointed out two factors, internal job

satisfaction and external job satisfaction, consistently with

hypothesized items. Each indicator item loadings were sig-

nificant on their hypothesized construct. For further analysis,

the mean of the respective items were used as a summary score

to represent the aspects of job satisfaction (IJS and EJS) as

indicators. Furthermore, factor analysis on the aspects of job

satisfaction indicated a single factor, job satisfaction, with

equal and significant loadings. Organisational commitment

items were also subjected to exploratory factor analysis. A

single factor emerged with significant item loadings. Mean

value of the indicator items was used to represent organisa-

tional commitment (OC), throughout this study. Overall,

exploratory factor analysis presented that, each indicator item

was associated with its hypothesized construct. Items load on

their hypothesized constructs not cross-loading altogether on

another construct along with the fact that, uncorrelated items

load on different constructs.

To evaluate convergent validity, confirmatory factor

analysis was used on AMOS 5.0. The measurement model

with two latent variables (emotional intelligence and job

satisfaction) and a simple variable (organisational commit-

ment) was assessed. Several indices were calculated to

evaluate the fit of the model to the data: chi-square statistic

ðx2Þ, x2=d:f:, root mean square error of approximation

(RMSEA), goodness of fit index (GFI), normed fit index

(NFI). Throughout the study, a model was considered to have

a good fit if all the path coefficients were significant at 0.05

level, x2insignificant, x2=d:f: < 2, RMSEA was below 0.05

(PClose � 0.05) and NFI, GFI were greater than 0.9 (Lu

et al., 2007). The measurement model exhibited a good fit to

data, with the following indices: x2 ¼ 17:579, p ¼ 0:092;

x2=d:f: ¼ 1:464; RMSEA ¼ 0:047, PClose ¼ 0:493;

GFI ¼ 0:982, NFI ¼ 0:970. All the loadings of the indica-

tors to their constructs were significant at 0.01 level, sug-

gesting convergent validity. None of the correlation

coefficients between the indicators of the constructs (emo-

tional intelligence, job satisfaction and organisational com-

mitment) was greater than 0.7 and indicator items for each

construct were highly correlated with each other.

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–1635 1629

Table 1

Correlation matrix and reliability results for study variables (N ¼ 267)

Variablesa EI SEA OEA UOE ROE JS EJS IJS OC

EI 1

SEA 0.496** 1

OEA 0.487** 0.319** 1

UOE 0.675** 0.295** 0.322** 1

ROE 0.793** 0.345** 0.375** 0.537** 1

JS 0.236** �0.025 0.008 0.155* 0.228**

EJS 0.057 �0.058 �0.014 0.1 0.158** 0.957** 1

IJS 0.239** 0.025 0.033 0.182** 0.253** 0.917** 0.761** 1

OC 0.229** �0.091 0.05 0.175** 0.186** 0.667** 0.599** 0.564** 1

Cronbach’s a 0.888 0.748 0.723 0.783 0.890 0.906 0.840 0.839 0.903

a Notes—EI: emotional intelligence; EA: self-emotional appraisal; OEA: others’ emotional appraisal; UOE: use of emotion; ROE: regulation

of emotion; JS: job satisfaction; EJS: external job satisfaction; IJS: internal job satisfaction; OC: organisational commitment.* p � 0:05.

** p � 0:01.

Discriminant validity was assessed by two methods.

First, for each construct, the average variance extracted

(AVE) should exceed the constructs shared variance with

every other construct (Hult et al., 2000). For adequate

discriminant validity, square root of AVE should be greater

than correlations between that construct and all other con-

structs. Square root of AVE values for each construct were

greater than correlations between that construct and other

constructs. Second, discriminant validity was demonstrated

by constraining the correlation between constructs one at a

time to be equal to 1, and comparing this model to the model

with no correlation constraint, in terms of x2. Dx2 was

significant for each pair, indicating discriminant validity.

Reliability analysis were conducted for all the study

variables in terms of Cronbach’s a and composite reliabilities.

Cronbach’s a coefficients exceeded 0.7 for all cases. Table 1

summarizes the results of the reliability analysis for emotional

intelligence and its dimensions, job satisfaction and its aspects

and organisational commitment. Composite reliabilities

which were considered satisfactory for each construct, were

calculated as greater than 0.75 (Lu et al., 2007).

Since each of the questionnaires was completed by a

single respondent, it was next examined whether common

method variance might be a problem. All items in the

questionnaire were included in a principle components

factor analysis. The analysis produced 10 factors, with the

first factor explaining 24% of the variance, an evidence that

common method variance was not present. Furthermore, to

control for method variance, the measurement model was

reassessed with the addition of a latent common method

variance factor (Podsakoff et al., 2003). All indicator vari-

ables in the measurement model was loaded on this factor.

Addition of the common variance factor did not improve the

fit over the measurement model without that factor. The

loading of a single indicator was reduced to insignificance,

with all others remaining significant. On the basis of the

results, it could be concluded that common method variance

was not a major problem of the study.

3. Results

3.1. A profile of the nurses

The participants were female with a mean age of 31.38

ranging from 21 to 63. All of them are four years university

graduate and have been working at Hacettepe University

Hospital on an average of 8.25 years. The sample of the

nurses in this study are all registered nurses. 50.6% of the

nurses were married, and 39.7% of them have at least one

child.

3.2. Correlation analysis

The correlation coefficients for the study variables are

given in Table 1. Emotional intelligence is correlated with

job satisfaction and organisational commitment. When job

satisfaction is controlled, the partial correlation between

emotional intelligence and organisational commitment

becomes insignificant ð p� 0:1Þ. A closer look on the dimen-

sions of emotional intelligence revealed that, not all the

dimensions have significant correlations with job satisfac-

tion and/or organisational commitment. There was evidence

in Table 1 that SEA and/or others’ emotions appraisal could

be suppressors (there is negative correlation between the

pairs OEA–EJS, SEA–OC, SEA–JS, SEA–EJS while OEA

and SEA are significantly positively correlated with UOE

and ROE). Partial correlation analysis supported that sug-

gestion for SEA but not for OEA. When all other dimensions

of emotional intelligence were controlled, the partial corre-

lation between SEA and organisational commitment was

negative and significant ð p � 0:01Þ.

3.3. The mediating effect of job satisfaction

Holmbeck (1997) recommends several methods to assess

the mediating effects of variables using regression and SEM

techniques. The mediating effects in this study were tested

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–16351630

Table 2

Direct paths tested for analysis

Model 1: direct path Coefficienta Model 2: direct path Coefficient Model 3: direct path Coefficient

EI! JS 0.310** SEA!OC �0.192** SEA! IJS �0.067

EI!OC 0.293** OEA!OC 0.002 OEA! IJS �0.069

JS!OC 0.657** ROE!OC 0.179** ROE! IJS 0.255**

UOE!OC 0.134* UOE! IJS 0.087

SEA! JS �0.052 SEA!EJS �0.109

OEA! JS �0.063 OEA!EJS �0.065

ROE! JS 0.240** ROE!EJS 0.196**

UOE! JS 0.084 UOE!EJS 0.05

EJS!OC 0.44**

IJS!OC 0.276**

a Standardized values are presented.* p � 0:05.

** p � 0:01.

according to the SEM suggestions of Holmbeck (1997).

Models were constructed from the view that emotional

intelligence predicts job satisfaction (Abraham, 2000; Prati

et al., 2003) and job satisfaction is antecedent to organisa-

tional commitment (Mowday et al., 1982). Standardized

direct path coefficients tested for all the models in the study

are given in Table 2. In the figures, indicator variables are

presented with rectangles, error terms are presented with

circles and latent variables are presented with ellipses.

3.3.1. The mediating effect of job satisfaction between

emotional intelligence and organisational commitment

The direct paths between emotional intelligence and

organisational commitment; emotional intelligence and

job satisfaction; job satisfaction and organisational commit-

ment were tested (for example, to test the direct path from

emotional intelligence to organisational commitment the

coefficient of path from job satisfaction to organisational

commitment was constrained to zero). The direct path

coefficients were all significant in the predicted directions

(Table 2). Next, the results of the following was compared:

(a) fit of the model in Fig. 1 when the direct path from

emotional intelligence to organisational commitment is

constrained to zero (full mediational model); (b) fit of the

Fig. 1. Structural Model 1. Notes: x2=19.151, p ¼ 0:085; x2=d:f: ¼ 1:47

The insignificant path, indicated with a grey line, is not included in the c

model in Fig. 1 when direct path from emotional intelligence

to organisational commitment is not constrained.

The results showed that, addition of the direct path

between emotional intelligence and organisational commit-

ment to the model did not improve the overall fit of full

mediational model (Dx2 is insignificant, direct path from

emotional intelligence to organisational commitment is

reduced to insignificance). According to findings, job satis-

faction is a mediator between emotional intelligence and

organisational commitment, confirming the first hypothesis

of this study. The full mediational model in Fig. 1 indicated a

very good fit to the data with significant path coefficients and

appropriate goodness of fit indices.

3.3.2. The mediating effect of job satisfaction between

the dimensions of emotional intelligence and

organisational commitment

To asses the extent to which the dimensions of emotional

intelligence affects organisational commitment, and the

behaviour of job satisfaction as the mediator, the structural

model in Fig. 2 was constructed, according to the findings,

study hypotheses and the literature. Direct paths from each

dimension of emotional intelligence to job satisfaction and

organisational commitment were tested simultaneously by

constraining following to zero (in a similar fashion with

3; RMSEA ¼ 0:047, PClose ¼ 0:498; NFI ¼ 0:967, GFI ¼ 0:980.

alculations of indices.

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–1635 1631

Fig. 2. Structural Model 2. Notes: x2=14.188, p ¼ 0:116; x2=d:f: ¼ 1:576; RMSEA ¼ 0:047, PClose ¼ 0:496; NFI ¼ 0:976, GFI ¼ 0:985.

The insignificant paths, indicated with grey lines are not included in the calculations of indices.

Sirois (2007)): covariances between each pair of dimensions

of emotional intelligence and path coefficient from job

satisfaction to organisational commitment. All the direct

path coefficients from dimensions of emotional intelligence

to organisational commitment were significant in the pro-

posed directions, except for the path between OEA and

organisational commitment. When the direct paths from

dimensions of emotional intelligence to job satisfaction

are of concern, the only significant path was found to be

between ROEs and job satisfaction. This indicates that, job

Fig. 3. Structural Model 3. Notes: x2=8.309, p ¼ 0:404; x2=d:f: ¼ 1:039;

insignificant paths, indicated with grey lines, are not included in the calc

satisfaction might only be a mediator between ROE and

organisational commitment.

After eliminating the insignificant paths, the fit of the

model without a direct path from ROE to organisational

commitment was assessed (full mediational model). Accord-

ing to fit indices, the model exhibit a good fit to data (Fig. 2).

Next, to test the mediating effect, previously significant

direct path from ROE to organisational commitment

(ROE!OC) was added to the model. In the analysis, this

path became insignificant and no significant change in x2

RMSEA ¼ 0:012, PClose ¼ 0:785; NFI ¼ 0:986, GFI ¼ 0:991. The

ulation of indices.

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–16351632

over the full mediational model was obtained. As a result,

job satisfaction was a mediator between only one dimension

of emotional intelligence, ROEs and organisational commit-

ment. The second hypothesis of the study was confirmed

only for ROE, rejecting for the other dimensions of emo-

tional intelligence.

3.3.3. The mediating effect of aspects of job satisfaction

between the dimensions of emotional intelligence and

organisational commitment

As the last step of this study, to include the effects of

external and internal job satisfaction to organisational com-

mitment, the model in Fig. 3 was examined. The direct

effects of external and internal job satisfaction to organisa-

tional commitment were tested by constraining the follow-

ing to zero: covariance between internal and external job

satisfaction; all the path coefficients except the paths from

internal and external job satisfaction to organisational com-

mitment. Calculated direct path coefficients were significant

in the predicted directions. Given the statistical significance

of the covariance between external and internal job satisfac-

tion, these path coefficients were also tested by not con-

straining the covariance between them and the results were

still significant.

The direct paths from dimensions of emotional intelli-

gence to external job satisfaction and internal job satisfac-

tion were tested by constraining the following to zero: path

coefficients from dimensions of emotional intelligence to

organisational commitment; path coefficients from internal

and external job satisfaction to organisational commitment

and covariances in the model. All tested path coefficients

were insignificant except for the paths from ROE to external

job satisfaction and internal job satisfaction (ROE!EJS,

ROE! IJS). According to the results, external job satisfac-

tion and/or internal job satisfaction can only be mediator(s)

between ROE and organisational commitment.

After eliminating insignificant paths and the significant

path from ROE to organisational commitment, model in

Fig. 3 was analyzed (full mediational model). The model

gave a very good fit to data with significant path coefficients.

Adding the direct path which was previously significant,

from ROE to organisational commitment did not improve

the overall fit of the model (Dx2 is insignificant and

ROE!OC path becomes insignificant). According to the

findings, both internal job satisfaction and external job

satisfaction are mediators between ROE and organisational

commitment.

Bootstrapping was used to test the significance of the

mediation effects for external job satisfaction and internal

job satisfaction (Shrout and Bolger, 2002). From the data set

(N ¼ 267), using random sampling with replacement, 1000

bootstrap samples were generated. The effects of ROE to

organisational commitment through external job satisfaction

and internal job satisfaction were estimated with maximum

likelihood estimation. With all the bootstrap samples conver-

ging, bootstrapping analysis indicated the effect of ROE to

organisational commitment through external job satisfaction

(b ¼ 0:074, 95% CI: 0.015 and 0.160) and the effect of ROE to

organisational commitment through internal job satisfaction

(b ¼ 0:07, 95% CI: 0.013 and 0.172) were significant.

4. Discussion

According to the literature review, this study is among the

rare studies, besides Gardner’s (2003) that focuses, on

emotional intelligence, job satisfaction and organisational

commitment simultaneously and the only study that focuses

on the mediating effect of job satisfaction between emo-

tional intelligence and organisational commitment. In the

literature there are few studies analyzing the relations

between emotional intelligence–job satisfaction (Prati

et al., 2003; Sy et al., 2006); job satisfaction- organisational

commitment (Schwepker, 2001; Yang and Chang, 2007) and

emotional intelligence–organisational commitment (Abra-

ham, 2000; Gardner, 2003). The current study found a

positive relationship between emotional intelligence and

job satisfaction of the nurses. Nurses with high emotional

intelligence are more likely to have higher levels of job

satisfaction. The results support the findings of Wong and

Law (2002) and Sy et al. (2006) which indicate that employ-

ees with higher emotional intelligence have higher job

satisfaction. As mentioned above, Martin and Bennett

(1996) categorized the relation between job satisfaction

and organisational commitment and the findings of this

study fall under the ‘‘job satisfaction is antecedent to

organisational commitment’’ category. Another study

applied to nurses by Knoop (1995) found that job satisfac-

tion and organisational commitment of nurses are both

statistically and meaningfully related. McNeese-Smith

(2001) mentioned job satisfaction as one of the major factors

contributing to nurse’s commitment to the organisation. This

finding is also supported by Schwepker’s study (2001) in

management literature.

This study supports the existence of a positive relation-

ship between emotional intelligence and organisational

commitment. There are few studies (Abraham, 2000) in

literature that also found a positive relationship between

these two variables. Employees who are high in emotional

intelligence are more likely to be more committed to their

organisations (Abraham, 2000; Gardner, 2003). Abraham’s

(2000) study suggests that employees with high emotional

intelligence would view their relationship with the organisa-

tion as an extension of the relationship they have with co-

workers and managers. The findings of this study shows that

emotional intelligence has effect on organisational commit-

ment but this effect appears purely through job satisfaction.

Therefore first hypothesis of the study has been verified. This

study makes a contribution to the literature on emotional

intelligence and organisational commitment through the

findings on the mediating effect of job satisfaction between

the two variables.

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The second hypothesis of the study was about the med-

iating effect of job satisfaction between the dimensions of

emotional intelligence and organisational commitment. As a

result of the analysis, this mediating effect was found only

between the regulation of emotion and organisational com-

mitment. The two other dimensions, self emotional appraisal

and use of emotion are directly related with organisational

commitment whereas others emotional appraisal has no

effect on organisational commitment. The discussion of

emotion regulation of the nurses should specify what aspects

of emotion is being regulated and what the desired endpoint

is. Successful emotion regulation leads to optimal physio-

logical arousal, which facilitates social competence (Gross,

1998b). Emotion regulation refers to the processes by which

individuals influence which emotions they have, when they

have them, and how they experience and express these

emotions (Gross, 1998a). Employees with high emotional

intelligence could be more adept at regulating their emotions

so they experience more confidence and control over the task

requirements of their job, which in turn enables them to be

more proactive and influence work outcomes positively (Sy

et al., 2006). This might explain why the mediating effect of

job satisfaction occurs between only regulation of emotion

dimension of emotional intelligence and organisational

commitment. On the other hand, studies of workplace

emotion regulation are gaining an increasing amount of

attention. Nonetheless, information about whether and

how, emotional intelligence and emotion regulation influ-

ence positive and negative affect at work is still limited

(Kafetsios and Loumakou, 2007). Therefore this study is a

contribution to the literature on emotional intelligence and

emotion regulation influence.

The third hypothesis of the current study was the mediat-

ing effect of aspects of job satisfaction, internal and external,

between the dimensions of emotional intelligence and orga-

nisational commitment. The findings are similar with the

second hypothesis. Internal and external job satisfaction

have mediating effects between regulation of emotion and

organisational commitment. Separating job satisfaction into

two aspects as internal and external, does not create any

difference for nurses.

Overall, this research about Turkish nurses states that there

is an effect of emotional intelligence on job satisfaction as well

as on organisational commitment through job satisfaction.

Although this study is not a cross-cultural one and the con-

cepts and surveys used in this study are western-based ones,

the results are compatible with other studies such as Prati et al.

(2003), Sy et al. (2006), Schwepker (2001), Abraham (2000)

and Gardner (2003). Each culture may answer the survey

questions differently due to cultural impacts. According to

Hofstede (1984), Turkey is a low-individualist (e.g. collectiv-

ity-orientation, emotional dependence of individual on orga-

nisations and institutions, private life is invaded by

organisations to which one belongs, opinions are predeter-

mined) and low-masculine (e.g. belief in group decision,

lower job stress, people prefer shorter working hours to more

salary) country as opposed to western countries. However,

nursing in terms of its job characteristics demand similar

requirements across cultures and this can explain why the

results of the current study are compatible with western based

studies. For example, nurses have direct personal contact with

patients who are demented, emotionally disturbed or intoxi-

cated. They are exposed to a variety of diseases. They have to

deal with family members who are concerned about what is

happening to their loved ones or upset over the delays inherent

in the health system (Tallman and Bruning, 2005). These are

the situations nurses face without any cultural impact.

Emotional intelligence can play an important role in the

work environment and since nursing is considered to be a

significant, therapeutic interpersonal process, emotional

intelligence is important for nursing (Cadman and Brewer,

2001; Law et al., 2004; Wong and Law, 2002). It is a

challenge to improve the emotional intelligence for nurses.

As emotional intelligence is a prerequisite for recruitment in

nursing, courses related to improve emotional intelligence

such as self-management and communication, ethics, psy-

chology and sociology have to be added to the curriculum of

nursing schools and measures of emotional intelligence

should be used in the recruitment process to select poten-

tially effective job applicants (Palmer et al., 2003; Cadman

and Brewer, 2001). Emotional intelligence can be learned or

taught therefore employee training and development pro-

grams have to designed accordingly. Nurses can be helped to

work on self-awareness and understanding their own beha-

vior and that of others. In other words, nurses with good

emotional capacity, would be aware of their own feelings,

good at controlling their feelings, understanding other’s

feelings and dealing with other’s feelings effectively. For

this reason, programs about anger management, stress man-

agement, counseling, coaching, conflict management and

time management can help nurses to improve their emo-

tional capacity. Emotionally intelligent employees are hap-

pier and more committed therefore organisations should

seek to recruit and retain such individuals (Abraham, 2000).

4.1. Study limitations

One of the limitations of the study is that emotional

intelligence, job satisfaction and organisational commitment

were measured by self-report. There was some evidence that

common method variance was not a problem, but, as with all

self-reports, common method variance, social desirability

biases and response distortion due to ego defense tendencies

were a concern (Sy et al., 2006).

The study focuses on the relations among emotional

intelligence, job satisfaction and organisational commitment.

It is a limitation that all other factors affecting these variables

were excluded. In addition, because of the nature of the job,

cultural impacts were thought not to affect the results dra-

matically. Therefore the cross cultural differences among the

relations were not investigated and possible outcomes of

cultural impacts, if there are any, were neglected.

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G. Guleryuz et al. / International Journal of Nursing Studies 45 (2008) 1625–16351634

There was no other study to guide the theoretical frame-

work of the current study. The relationships between emo-

tional intelligence, job satisfaction and organisational

commitment were rarely investigated in the literature, but

the pairwise relations were widely considered. Hypothesized

relations and causality between the variables of the study

were based on the pairwise relations. In the literature, there

were no other studies that can be compared with the results

of this study.

The generalizability of the findings is potentially limited

by the fact that all the respondents belong to Hacettepe

University Hospital and the results cannot be generalized to

all hospitals. The net response rate was 48.5% which can be

perceived as low. Nurses with heavy burden of job require-

ments and stress have no time to complete the question-

naires. The questionnaires in this study was sent to fill on

will and no obligations were associated. However the net

response rate is still not far from the general rates in the

literature. Because of the heavy traffic in the hospital,

Nursing Services Administration was pointed to distribute

the questionnaires by university authorities and arms-length

approach was absent. It is also a limitation that no pilot study

was performed.

Overall, the above limitations of the study constrain its

generalizability to other organisations. For these reasons, a

future study has to be repeated in different hospitals.

5. Conclusion

Job satisfaction is found to be a mediator between

emotional intelligence and organisational commitment.

When the dimensions of emotional intelligence was taken

into account, job satisfaction was still found to be a mediator

between the ROE dimension of emotional intelligence and

organisational commitment. Finally when the aspects of job

satisfaction was analysed, both internal and external along

with job satisfaction in total, was found to have mediating

effect between emotional intelligence and organisational

commitment. Although further research is needed to make

a generalization, this study fills an important gap both in

management and nursing literature.

Acknowledgments

The authors gratefully acknowledge the assistance of

Nursing Services Administration of Hacettepe University,

in the collection of data for this study.

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