Vander Zee 2002
Vander Zee 2002
Abstract
The present study examines the relationship of self- and other ratings of emotional
intelligence with academic intelligence and personality, as well as the incremental validity
of emotional intelligence beyond academic intelligence and personality in predicting
academic and social success. A sample of 116 students filled in measures for emotional
and academic intelligence, the Big Five, and indicators of social and academic success.
Moreover, other ratings were obtained from four different raters on emotional intelligence
and social success. Factor analysis revealed three emotional intelligence dimensions that
were labelled as ‘Empathy’, ‘Autonomy’, and ‘Emotional Control’. Little evidence was
found for a relationship between emotional and academic intelligence. Academic
intelligence was low and inconsistently related to emotional intelligence, revealing both
negative and positive interrelations. Strong relationships were found of the emotional
intelligence dimensions with the Big Five, particularly with Extraversion and Emotional
Stability. Interestingly, the emotional intelligence dimensions were able to predict both
academic and social success above traditional indicators of academic intelligence and
personality. Copyright # 2002 John Wiley & Sons, Ltd.
INTRODUCTION
For everyday problem solving academic intelligence seems not sufficient. Everyone knows
examples of brilliant persons who outperformed fellow students in college but are not very
successful in a work setting, obviously lacking certain practical and social skills.
Therefore, researchers have introduced constructs that refer to more common sense
approaches to intelligence. In this tradition, measures have been developed for social
intelligence (Archer, 1980; Cantor and Kihlstrom, 1987; Kerr and Speroff, 1954; Stricker
and Rock, 1990), practical intelligence (Sternberg and Wagner, 1986) and emotional
intelligence (see e.g. Davies, Stankov and Roberts, 1998; Salovey and Meyer, 1990;
*Correspondence to: Prof. Dr Karen I. van Oudenhoven-van der Zee, Department of Psychology, University of
Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands.
E-mail: K.I.van.Oudenhoven-van.der.Zee@ppsw.rug.nl
Schutte et al., 1998). These constructs refer to cognitive skills that are needed to solve the
problems that are typically encountered in life, for example in solving conflicts at work,
collaborating with others, or adjustment to new cultural environments and work settings.
Whereas academic problem-solving is characterized by well defined problems for which
one correct answer is usually available, daily problem-solving is characterized by poorly
defined problems, that can be approached from different perspectives and for which no one
best answer is available (Neisser, 1976; Sternberg, 1985, 1997; Wagner and Sternberg,
1986).
The present study focused on the concept of emotional intelligence. Salovey and Mayer
(1990) define emotional intelligence as ‘the ability to monitor one’s own and other’s
emotions, to discriminate among them and to use the information to guide one’s thinking
and actions’ (p. 189). Emotional intelligence is generally regarded as a construct within
the broad framework of human cognitive abilities (Goleman, 1996; Mayer, Caruso and
Salovey, 2000; Mayer and Geher, 1996; Mayer and Salovey, 1993; Salovey and Mayer,
1994). It must be noted, however, that empirical studies (e.g. Davies et al., 1998; Schutte
et al., 1998; Van der Zee, Van Leest and Van Oudenhoven, manuscript submitted for
publication) failed to reveal a clear relationship between emotional intelligence and
academic intelligence. Moreover, studies have revealed a clear relationship between
emotional intelligence and personality. Emotional intelligence seems to be related to
Neuroticism, Extraversion and Agreeableness (Davies et al., 1998) and there is some
evidence that the construct is also related to Openness to Experience (Schutte et al., 1998).
The aim of the present study is threefold. First, an instrument for emotional intelligence
was developed and its internal structure was evaluated. The majority of studies on
emotional intelligence has relied on self-ratings. Self-report assessment of emotional
intelligence has been criticized (see e.g. Mayer and Cobb, 2000; Mayer et al., 2000;
Petrides and Furnham, 2000). Generally, the target person him or herself undoubtfully has
the greatest access to information that is relevant for judging traits and competences.
However, the relevance of such information for judging the self may be better perceived by
others than by the person him or herself (see Hofstee, 1994; Jones and Nisbett, 1972). In
addition, some of the richness of self-experience is lost as a consequence of limitations of
the judge’s working memory upon performing the self-rating. Thus self-views may be less
accurate than outsiders’ views (see e.g. Hofstee, 1994; John and Robins, 1993; Thorne,
1989). For this reason, self-ratings have often been supplemented with ratings by
knowledgeable informants such as peers and spouses (Borkenau and Liebler, 1993;
Cattell, 1946; Funder, 1989; McCrae, 1982). The present study was aimed at the
psychometric qualities of both self- and other ratings of emotional intelligence. Second,
the present study focused on the relationship of emotional intelligence with academic
intelligence and personality. Third, the incremental validity of emotional intelligence
beyond intelligence and personality in predicting both academic and social success was
examined. The central assumption underlying common sense approaches to intelligence is
that these approaches are better able to predict real life criteria than traditional measures of
academic intelligence and personality, but there is little evidence to support this claim.
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Emotional intelligence 105
using the information to guide one’s thinking and actions. Although the revised model of
Mayer and Salovey (1997) gives more emphasis to cognitive processes, the same
distinction can be recognized. This model distinguishes between four dimensions of
emotional intelligence: perception, appraisal, and expression of emotion; emotional
facilitation of thinking; understanding, analysing, and employing emotional knowledge;
and, finally, reflective regulation of emotions so as to promote further emotional and
intellectual growth. Particularly the elements of expression of emotion and employing
emotional knowledge seem to refer to behavioural processes, whereas perception and
appraisal of emotions, emotional facilitation of thinking and understanding, and analysing
emotional knowledge primarily concern cognitive processes.
Second, Salovey and Mayer distinguish between processes regarding one’s own
emotions and the emotions of others. In this regard, Gardner (1983) distinguished between
intrapersonal intelligence referring to the ability to recognize and label one’s own
emotions, and interpersonal intelligence, referring to the ability to understand other
individual’s emotions and intentions. Departing from the definition of Salovey and Mayer
(1990), in the present study emotional intelligence was defined as the ability to perceive
one’s own and other’s emotions, to interpret one’s own emotions and the emotions of
others, and and to cope with emotions of self and others effectively. As a theoretical
framework the dimensions of cognitive–behavioural and self–others were used to classify
subscales that fit into this definition of emotional intelligence.
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106 K. van der Zee et al.
based on the model of Salovey and Mayer (1990) was unrelated to cognitive ability, as
measured by mathematical and verbal scores on the SAT. Davies et al. (1998) also studied
the relationship between indicators of emotional intelligence and academic intelligence.
Consistent with the findings of Schutte et al. (1998), they found no meaningful
relationship between emotional and crystallized intelligence in one study and only low
loadings of emotional intelligence items on a verbal factor in a second study. Finally, Van
der Zee et al. (manuscript submitted for publication) studied the relationship between
emotional intelligence and indicators of academic intelligence and found no significant
relationships. The majority of studies that focus on related concepts, such as social
intelligence (Wong, Day, Maxwell and Meara, 1995), and practical intelligence or ‘tacit
knowledge’ (Sternberg and Wagner, 1986, 1993; Sternberg et al., 1995) also failed to show
any relationship with academic intelligence. In the present study, it was tried to establish
support for a place for the concept of emotional intelligence in general taxonomies of
intelligence. Therefore, the relationship between emotional and academic intelligence was
examined.
Copyright # 2002 John Wiley & Sons, Ltd. Eur. J. Pers. 16: 103–125 (2002)
Emotional intelligence 107
Copyright # 2002 John Wiley & Sons, Ltd. Eur. J. Pers. 16: 103–125 (2002)
108 K. van der Zee et al.
METHOD
Participants
The present findings were based on a sample of 116 students, who were approached for the
study at a number of faculties. The majority of the group were students from the Faculty of
Arts (41%), 28% studied Psychology, 28% studied Business Administration and
Economics; 22% were involved in other studies. The age of the sample varied between
18 and 32 years (M ¼ 22.8; SD ¼ 2.7). The majority of the respondents were female (72%).
All students who participated in the study received feedback regarding their personal test
results.
Instruments
First, as indicators of Academic Intelligence the General Aptitude Test-Battery (GATB;
US Department of Labor, 1970) was used. Six subscales from the Dutch version of the
General Aptitude Test-Battery were included. Participants’ verbal abilities were measured
by scales for Name Comparisons (M ¼ 5.94, SD ¼ 2.40) and Vocabulary (M ¼ 3.82,
SD ¼ 2.26), numerical abilities by scales for Elementary Arithmetic (M ¼ 3.00, SD ¼ 2.06)
and Verbal Arithmetic (M ¼ 3.02, SD ¼ 1.93) and, finally, figural/spatial abilities were
measured by scales for Three-Dimensional Space (M ¼ 3.85, SD ¼ 2.03) and Figure
Detection (M ¼ 4.05, SD ¼ 2.00). Departing from the theory of Horn and Catell (1966),
empirical data suggest that the scales for vocabulary, elementary arithmetic, and verbal
arithmetic can be considered as crystallized intelligences, whereas the scales for figure
detection and three-dimensional space belong to the fluid intelligences. Finally, the name
comparison test seems to call on both intelligences (Van der Flier and Boomsma-Suerink,
1994). The GATB is a speeded test (45 minutes are allowed for the six subscales). For all
scales, decile (norm) scores were computed.
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Emotional intelligence 109
Personality
Personality was measured by the Connector-P3 (141 items), developed by PiMedia
(t Mannetje and Schattenberg, 1996). The questionnaire has scales for the Big Five factors
Extraversion, Agreeableness, Conscientiousness, Emotional Stability, and Autonomy/
Intellect (see e.g. De Raad, 1992; Digman, 1990; Goldberg, 1990; John, 1990). The
corresponding Connector-P scales have items that are adjusted to the work context and are
referred to as Extraversion, Respect, Work attitude, Stability, and Openness. For each
personality dimension, items referred to concrete behaviours or tendencies that are
relevant to work settings. Participants could give their answers on a five point scale ranging
from not applicable to me (1) to entirely applicable to me (5). The number of items per
scale varied between 18 and 32. It took approximately 30 minutes to complete the
questionnaire. For each personality factor t-scores were computed. Cronbach’s alpha’s for
the different scales varied between 0.77 and 0.84.
Emotional Intelligence
The instrument for Emotional Intelligence contained 17 scales each consisting of five
items. Subdimensions were derived from the literature and were classified according to the
cognitive–behavioural and self–other distinction. Each scale item consisted of two
opposite behavioural descriptions referring to behaviours that were assumed to be
indicative of the specific dimension. Participants could indicate on a five-point scale which
position between the two behavioural poles best described the focal person’s behaviour.
Three scales were included for monitoring and interpreting one’s own emotions. First, the
scale for Emotional Self-Consciousness referred to being open to one’s emotions,
understanding one’s emotions, and recognizing the effects of emotions on one’s
performance. A sample item of this scale is ‘Takes emotions into consideration in
decision making’ ( þ ) versus ‘Is guided by rational arguments in making decisions’ ( ).
The scale for Self-Reliance indicated trust in one’s own appearance and confidence in
one’s capabilities, for example ‘Emphasizes own strengths’ ( þ ) versus ‘Talks mostly
about own weaknesses’ ( ). Positive Thinking referred to a tendency to focus on positive
aspects of life, for example ‘Speaks with enthusiasm about his/her work’ ( þ ) versus
‘Speaks primarily about the negative aspects of his/her work’ ( ).
Dealing with one’s own emotions was measured with scales for Stress Management,
Autonomy, Adaptation, Self-Motivation, Self-Development and Self-Control. Stress
Management was defined as regulating one’s emotions in order to prevent them from
interfering with performance and effective performance in stressful circumstances, and
was measured by items such as ‘Easily recovers from setbacks’ ( þ ) versus ‘Has
difficulties recovering from setbacks’ ( ). Autonomy indicated a tendency not to be
emotionally influenced by the environment and to undertake actions that are based on
one’s own beliefs (e.g. ‘Works independently and autonomously’ ( ) versus ‘Seeks
confirmation of others’ ( )). Adaptation refers to reconciling one’s emotions with
changing situations and conditions, for example ‘Easily adjusts to new work situations’
( þ ) versus ‘Has difficulties in adjusting to new work situations’ ( ). Self-Motivation was
defined as regulating one’s own emotions in order to reach goals. A sample item is ‘Works
because he or she enjoys it’ ( þ ) versus ‘Is motivated for work because of its financial
rewards’ ( ). Self-Development referred to insight into one’s own emotional strengths
3
For information about the instrument for Emotional Intelligence that was developed in this study and about the
Connector-P, please contact PiMedia, PO Box 1087, 3600 BB Maarssen, The Netherlands. Tel: þ 31 346 559010.
Fax: þ 31 346 559015. E-mail: info@pimedia.nl, internet: www.pimedia.nl
Copyright # 2002 John Wiley & Sons, Ltd. Eur. J. Pers. 16: 103–125 (2002)
110 K. van der Zee et al.
Copyright # 2002 John Wiley & Sons, Ltd. Eur. J. Pers. 16: 103–125 (2002)
Emotional intelligence 111
voluntary work, and participants were asked to answer with yes or no to the question if
they were involved in such social activities or not. Participants received one point if they
had been involved in a particular social activity; they received two points if they were for
example members of two or more student organizations. A total score was obtained by
summing up across activities, resulting in a scale of modest reliability ( ¼ 0.60). Second,
a five-item social competence scale was included, defined as the ability to establish and
maintain contacts with other people. Each scale item consisted of two opposite
behavioural descriptions referring to behaviours that were assumed to be indicative of
the specific scale. Participants could indicate on a five-point scale which position between
the two behavioural poles best described the focal person’s own behaviour, for example
‘Starts a conversation with another person, even if he/she has never met this person before’
( þ ) versus ‘Waits until others approach him/her to start a conversation’. Both self- and
other ratings on this scale were collected. Cronbach’s alpha of this scale was 0.83 for self-
ratings and 0.87 for other ratings. Self- and other ratings were highly interrelated
(r ¼ 0.64). Self- and other ratings of social competence were moderately related to the
social activities scale, r ¼ 0.21, p < 0.05 and r ¼ 0.24, p < 0.05, respectively for self- and
other ratings, and unrelated to the measure of academic success.
Procedure
Upon arrival in the laboratory, students received a short introduction on the study
purposes. Next, they received a short questionnaire that contained indicators of academic
and social success. This questionnaire was followed by computerized intelligence tests and
a personality questionnaire. In order to control for fatigue symptoms, the order of the
intelligence tests was varied. Next, students filled out the personality questionnaire. At the
end of the session, students received five questionnaires that included scales for emotional
intelligence together with an envelope. The students were instructed to return their
completed questionnaire together with preferably four additional questionnaires that were
filled out by persons close to them. The students were free in choosing the persons that
provided the other ratings, but received the instruction to select persons from different
social networks, such as room mates, sport mates, family members, and close friends. In
the instruction to the participating others, it was stressed that their evaluations had no
consequences for the assessed person and that the ratings would be treated confidentially
and would not be revealed to the person they had assessed.
RESULTS
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112 K. van der Zee et al.
Table 1. Means, standard deviations and scale reliabilities for self- and other ratings on the
emotional intelligence scales
Self-ratings Other ratings
M SD M SD
In order to examine the internal structure of the measure scale intercorrelations were
computed on the level of the individual ratings. Table 2 reveals the resulting correlations.
As can be derived from this table, the pattern of intercorrelations did not support our a
priori classification of the scales into cognitive versus behavioural and self versus others.
Intercorrelations between scales with a similar position on both dimensions did not exceed
correlations between scales from different quadrants. In addition, an exploratory factor
analysis was performed, that also failed to support the hypothesized two-dimensional
classification. The scree plot pointed at a three factor structure. Together, these three
factors explained 28.03% of variance (eigenvalue > 4)4. After oblique rotation, this
solution appeared to be readily interpretable. Table 3 shows sample items with the highest
loadings on each factor. On the first factor, high loadings were found for items that referred
to being sensitive to the emotions of others and expressing concern towards others.
Particularly items from the scales for affective listening, empathy, and commitment
showed high loadings on these factors. This factor was labelled Empathy. High loadings on
the second factor were found for items referring to autonomous and self-motivational
behaviours and cognitions, and this factor will be further referred to as Autonomy.
The third factor could be interpreted as lack of Emotional Control. Both items referring to
keeping calm and retaining a high level of performance under stress and items
referring to dealing with stress or conflict in the social environment are included in this
factor.
Scales for each factor were formed by selecting items with the highest loading on the
specific factor, provided that this loading exceeded 0.35. Factor analyses on the selected
4
Coefficient alpha is a simple function of its eigenvalue (Kaiser and Caffrey, 1965; see also Hofstee, Ten Berge
and Hendriks, 1998): ¼ [n/(n 1)][1 1/Ej], whereby n represents the number of components and Ej the jth
eigenvalue ( j ¼ 1, . . . , m). An eigenvalue of 4 corresponds to a reasonable alpha of 0.76.
Copyright # 2002 John Wiley & Sons, Ltd. Eur. J. Pers. 16: 103–125 (2002)
Table 2. Intercorrelations between the emotional intelligence scales
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
1. Emotional Self- 0.17** 0.10* 0.16** 0.07 0.16** 0.18** 0.25** 0.27** 0.50** 0.54** 0.30** 0.44** 0.34** 0.12** 0.38** 0.38**
Consciousnessa
2. Self-Reliance 0.33** 0.39** 0.20** 0.49** 0.19** 0.18** 0.03 0.20** 0.14** 0.11 0.12* 0.12* 0.10* 0.07 0.13**
3. Positive Thinking 0.45*** 0.39** 0.29*** 0.41*** 0.20** 0.34** 0.26** 0.26** 0.37** 0.31** 0.27** 0.20** 0.29** 0.39**
4. Stress Management 0.32** 0.34** 0.40** 0.42** 0.22** 0.12* 0.07 0.43** 0.10* 0.22** 0.08 0.27 0.12
5. Autonomy 0.35** 0.31** 0.43** 0.32** 0.21** 0.20** 0.30** 0.26** 0.26** 0.03 0.26** 0.26**
Table 3. Sample items with the highest loadings on the emotional intelligence factors
Table 4. Means, standard deviations, and scale reliabilities for self- and other ratings on the
emotional intelligence dimensions
M SD 2 3
Self-ratings
1. Empathy 3.91 0.39 0.83 0.11 0.04
2. Autonomy 3.36 0.51 0.84 0.46**
3. Emotional control 3.52 0.47 0.69
Other ratings
1. Empathy 3.70 0.39 0.92 0.10 0.14
2. Autonomy 3.46 0.40 0.90 0.38**
3. Emotional control 3.50 0.42 0.81
Significance levels *p < 0.05, **p < 0.01.
item set supported the three factor solution (eigenvalue > 3, 32.29% explained variance).
The pattern matrix revealed a factor solution that perfectly fitted the a priori allocation of
the items to the three factors. Table 4 shows reliabilities and scale intercorrelations of the
scales that were formed by adding up the selected items, both for self- and for other
ratings. The scale score corresponding to the (lack of ) emotional control factor was coded
in the positive direction. High scores corresponded to high emotional control. For the self-
ratings, the internal consistencies of the scales were moderate to high, with a modest alpha
for emotional control. Reliabilities for the other ratings were high: all alpha’s exceeded
0.80. The emotional intelligence dimensions were moderately interrelated.
Next, we were interested in the correspondence between self- and other ratings. Table 4
shows means for self- and other ratings. MANOVA with rater as the within-subject
independent variable, and the emotional intelligence dimensions as the dependent
variables, revealed significantly higher scores for self-ratings as compared with other
ratings for empathy, F(1, 85) ¼ 32.52, p < 0.001, and significantly lower self-ratings for
autonomy, F(1, 85) ¼ 4.13, p < 0.05. No significant difference was found between self-
and other ratings of emotional control. Both for self- and for other ratings, the present data
revealed elevated scale means. Possibly, both self- and other ratings suffered from social
desirability bias. Table 5 shows the correlations between self- and other ratings. All the
values on the principal diagonal exceed the so-called 0.3 barrier (e.g. McCrae and Costa,
1989), pointing at the validity of self- versus other ratings.
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Emotional intelligence 115
Table 5. Correlations between self- and other ratings on the emotional intelligence dimensions
Other ratings
1 2 3
Self-ratings
1. Empathy 0.65** 0.06 0.00
2. Autonomy 0.01 0.59** 0.30**
3. Emotional Control 0.12 0.22* 0.56**
Significance levels *p < 0.05, **p < 0.01.
Self-ratings
Empathy
Name Comparisons 0.30 0.09 0.30** 0.30**
Autonomya
Emotional Control
Vocabulary 0.24 0.06 0.24** 0.24**
Other ratings
Empathy
Vocabulary 0.24 0.06 0.24** 0.24**
Autonomy
Figure Detection 0.22 0.05 0.22* 0.22*
Emotional Controla
a
None of the academic intelligence dimensions revealed significant beta-weights.
Significance levels *p < 0.05, **p < 0.01.
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116 K. van der Zee et al.
Table 7. Results of stepwise regression of self- and other ratings of emotional intelligence on the
Big Five
R R2 step 1 step 2 step 3 step 4 step 5 r
Self-ratings
Empathy
step 1 Extraversion 0.39 0.15 0.39** 0.42** 0.39**
step 2 Respect 0.53 0.28 0.35** 0.32**
Autonomy
step 1 Stability 0.69 0.48 0.69** 0.47** 0.70**
step 2 Openness 0.77 0.59 0.40** 0.67**
Emotional Control
step 1 Stability 0.53 0.28 0.53** 0.65** 0.65** 0.72** 0.62** 0.53**
step 2 Extraversion 0.60 0.37 0.32** 0.31** 0.35** 0.43** 0.08
step 3 Respect 0.65 0.42 0.23* 0.23* 0.26** 0.22*
step 4 Work Attitude 0.68 0.47 0.23* 0.19* 0.09
step 5 Openness 0.70 0.49 0.23* 0.31**
Other ratings
Empathy
step 1 Extraversion 0.32 0.10 0.32** 0.24* 0.39** 0.32**
step 2 Respect 0.37 0.14 0.21* 0.27** 0.30**
step 3 Stability 0.43 0.19 0.29** 0.06
Autonomy
step 1 Openness 0.44 0.20 0.69** 0.47** 0.44**
step 2 Respect 0.53 0.28 0.31** 0.03
Emotional Control
step 1 Stability 0.29 0.09 0.29** 0.53** 0.64** 0.29**
step 2 Extraversion 0.42 0.18 0.38** 0.40** 0.06
step 3 Work Attitude 0.46 0.22 0.22* 0.00
Significance levels *p < 0.05, **p < 0.01.
It must be noted that for extraversion and work attitude, scales for which negative loadings
were found, the zero-order correlations with empathy were not significant. Therefore,
these beta-weights should be noted with caution. Not surprisingly, for other ratings it was
found that autonomy was best predicted by the fifth factor of the Big Five, that is often
referred to as Autonomy/Intellect (De Raad, Hendriks and Hofstee, 1992; Goldberg, 1990).
For self-ratings, however, emotional stability appeared equally predictive (and even
slightly more predictive) of autonomy. Although the Big Five explained a significant
amount of variance in emotional intelligence, it seems not warranted to infer from the
present data that emotional intelligence is nothing more than a bunch of socially desirable
traits. The Big Five explained most variance in autonomy (59% and 28% for self- and
other ratings, respectively).
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Emotional intelligence 117
Table 8. Results of stepwise regression of academic success on self- and other ratings of emotional
intelligence
R R2 step 1 step 2 step 3 r
Self-ratings
Social Activities
step 1 Empathy 0.29 0.08 0.29* 0.29*
Social Competence (self-ratings)
step 1 Empathy 0.58 0.32 0.58** 0.53** 0.54** 0.58**
step 2 Autonomy 0.67 0.44 0.35** 0.44** 0.41**
step 3 Emotional Control 0.69 0.48 0.20* 0.02
Social Competence (other ratings)
step 1 Empathy 0.46 0.21 0.46** 0.46**
Other ratings
Social Activities
step 1 Empathy 0.29 0.03 0.29*
Social Competence (self-ratings)
step 1 Empathy 0.39 0.16 0.39** 0.42** 0.49** 0.39**
step 2 Autonomy 0.54 0.29 0.36** 0.53** 0.33**
step 3 Emotional Control 0.64 0.41 0.39* 0.14
Social Competence (other ratings)
step 1 Empathy 0.54 0.29 0.54** 0.59** 0.65** 0.54**
step 2 Autonomy 0.69 0.47 0.43** 0.55** 0.36**
step 3 Emotional Control 0.74 0.56 0.20* 0.06
Significance levels *p < 0.05, **p < 0.01.
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118 K. van der Zee et al.
Self-ratings
I. Academic Success
step 1 Work Attitude 0.41 0.17 0.41** 0.38** 0.41**
step 2a Empathy 0.46 0.21 0.22* 0.27**
II. Social Activities
step 1 Work Attitude 0.30 0.09 0.30** 0.31** 0.30**
step 2a Autonomy 0.45 0.20 0.33** 0.29**
II. Social Competence
(self-ratings)
step 1 Extraversion 0.66 0.43 0.66** 0.62** 0.52** 0.43** 0.69**
step 2 Name 0.71 0.49 0.26** 0.18* 0.17* 0.35**
Comparisons
step 3 Empathy 0.77 0.59 0.34** 0.38** 0.58**
step 4 Autonomy 0.79 0.63 0.20* 0.41**
III. Social Competence
(other ratings)
step 1 Extraversion 0.56 0.32 0.56** 0.45** 0.56**
step 2a Empathy 0.65 0.42 0.34** 0.46**
Other ratings
I. Academic Success
step 1 Work Attitude 0.31 0.10 0.31** 0.30** 0.31**
step 2a Autonomy 0.41 0.17 0.27** 0.26**
II. Social Activities
step 1 Work Attitude 0.28 0.08 0.28** 0.28** 0.34** 0.37** 0.28**
step 2 Vocabulary 0.43 0.18 0.33** 0.48** 0.43** 0.33**
step 3 Name 0.54 0.29 0.37** 0.39** 0.10
Comparisons
step 4 Autonomy 0.45 0.20 0.33** 0.26** 0.26**
II. Social Competence
(self-ratings)
step 1 Extraversion 0.69 0.48 0.69** 0.76** 0.72** 0.68** 0.69**
Respect 0.71 0.50 0.17* 0.18* 0.21* 0.14
step 2 Name 0.71 0.56 0.24** 0.21* 0.36**
Comparisons
step 3 Empathy 0.77 0.58 0.18* 0.39**
III. Social Competence
(other ratings)
step 1 Extraversion 0.56 0.32 0.56** 0.44** 0.30** 0.23* 0.56**
step 2 Empathya 0.68 0.46 0.41** 0.49** 0.56** 0.54**
step 3 Autonomy 0.74 0.55 0.33** 0.45** 0.36**
step 4 Emotional Control 0.77 0.59 0.23* 0.06
a
None of the academic intelligence dimensions revealed significant beta-weights.
Significance levels *p < 0.05, **p < 0.01.
variance in social success, with empathy and, in the case of other rated social competence,
also autonomy as significant predictors.
To conclude, the expectation that emotional intelligence will predict variance in
academic and social success, above personality and intelligence, was supported by the
data. It must be noted that the incremental validity of emotional intelligence was not very
high. Personality appeared to be a rather strong predictor of both social and academic
success. Extraversion was strongly related to social competence, work attitude to
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Emotional intelligence 119
academic success, and (negatively) to social activities. Academic intelligence was not a
very strong predictor of success.
DISCUSSION
The concept of emotional intelligence has evoked considerable debate, for example
leading Davies et al. in their 1998 paper in the Journal of Personality and Social
Psychology to present their work under the title ‘Emotional intelligence in search of an
elusive construct.’ The present study examined the predictive and construct validity of this
elusive but also appealing construct. Departing from the definition of Salovey and Mayer
(1990), in the present study emotional intelligence was defined as the ability to perceive
one’s own and other’s emotions, to interpret the own emotions and the emotions of others,
and to cope with the emotions of self and others effectively. This definition reflects on the
one hand the distinction between the cognitive process of monitoring and interpreting
emotions and the behavioural process of reacting effectively in situations that are
emotionally challenging, and, on the other hand, the distinction between emotions of self
and others. The data provided little support for the a priori distinction between cognitive
and behavioural aspects of intelligence and the classification of aspects of intelligence into
aspects that are self-directed and aspects that are directed at others.
Factor analysis on the items that were developed departing from this classification
resulted in three factors, which were labelled as empathy, autonomy, and emotional
control. Empathy refers to the ability to recognize emotional states of others and to show
sensitivity to these emotions. Related conceptualizations of this emotional intelligence
dimension concern for example ‘interpersonal intelligence’ (Gardner, 1983) or
‘interpersonal skills’ (Bar-On, Brown, Kirkcaldy and Thomé, 2000). Autonomy was
defined as self-motivational and autonomous behaviours and cognitions (cf. ‘motivational
factors’, Bar-On et al., 2000). Emotional control refers to keeping calm and retaining a
high level of performance under stress and to dealing with stress or conflict in the social
environment (cf. ‘stress management’, Bar-On et al., 2000). The dimensions included both
behaviours and the preceeding cognitions, and although empathy particularly seems to
refer to the emotions of others, and autonomy to one’s own emotions, the dimension of
emotional control includes both regulating one’s own emotions and regulating the
emotions of others.
The present data included both self- and other ratings of emotional intelligence. In the
present study, the reliability of the aggregated other ratings of emotional intelligence
dimensions based on judgments of four different raters appeared to be higher than self-
ratings of the same dimensions. This is in line with the Spearman–Brown formula (Brown,
1910; Spearman, 1910), that predicts that the reliability of a scale is a function of the
number of raters. The intercorrelations between self- and other ratings were reasonably
high, with all the values on the principal diagonal exceeding the so-called 0.3 barrier
(see e.g. McCrae and Costa, 1989). Self-ratings on empathy were higher than other ratings.
This finding is consistent with findings from earlier studies that have compared self- and
other ratings, and seems to be due to the fact that individuals tend to present a view of
themselves that is positively biased. However, the opposite findings were obtained for
autonomy, with other ratings exceeding self-ratings. Both self- and other ratings of
emotional intelligence were clearly above the scale mean, suggesting a possible influence
of social desirability bias on both types of rating. It has indeed been suggested in the
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120 K. van der Zee et al.
literature that self- and other ratings may suffer from the same systematic biases
(see Cronbach, 1955; Funder, 1999). Leniency bias in external judgments may either
spring from favourable attitudes towards other individuals or from social desirability
(see Nunnally, 1978). However, the fact that factor analysis revealed three factors rather
than one general factor suggests that the present findings cannot be fully explained away
by social desirability bias.
One of the basic questions of the present study concerned the relationship between
emotional intelligence on the one hand and academic intelligence and personality on
the other hand. Theoretically, in order to be regarded as a separate construct within the
framework of cognitive ability, emotional intelligence should be moderately, not too
highly, associated with measures of academic intelligence and should not coincide with
indicators of personality. Academic intelligence was weakly and inconsistently related to
emotional intelligence. This pattern of inconsistent findings revealing insignificant or even
negative correlations between academic intelligence and emotional intelligence is in line
with earlier studies that focused both on crystallized and fluid intelligence (e.g. Davies
et al., 1998). Interestingly, in the present study, the intelligence scale for figure
detection that did reveal a positive relationship concerned fluid rather than crystallized
intelligence.
The findings with respect to academic intelligence do not warrant conclusion that the
present indicator of emotional intelligence can be considered as a cognitive ability. Not
surprisingly, emotional intelligence was more strongly related to personality than to
academic intelligence (see also Davies et al., 1998; Schutte et al., 1998; Van der Zee et al.,
manuscript submitted for publication). Conceptually, the three factors closely resemble the
descriptions of the Big Five, with empathy corresponding with Agreeableness and
Extraversion, emotional control with Emotional Stability and autonomy with Intellect/
Autonomy. Indeed, examining the correlations between the five dimensions for emotional
intelligence and the Big Five, empathy was best explained by a combination of
extraversion and respect, whereas autonomy was strongly predicted by the fifth factor of
the Big Five. The relationship with the Big Five was not perfect: autonomy was also
strongly related to (self-rated) emotional stability and emotional control was also related to
the remaining Big Five factors. Moreover, although the Big Five explained a significant
amount of variance in emotional intelligence, it seems not warranted to infer from the
present data that emotional intelligence is nothing more than the Big Five in disguise.
Unexpectedly, the relationship between emotional intelligence and personality revealed
relationships with all the Big Five factors. In this regard, Hofstee’s (2001) notion of the p-
factor seems of relevance. Hofstee argues that, departing from personality traits for the Big
Five scored in the positive direction, a first principal component (p-factor) can be derived
that can be interpreted as ‘competence’ or ‘coping’, in the sense of adequacy of reaction to
situations. According to Hofstee, in this p-factor ‘stylistic intelligence and other traits
seem to be united in an evolutionary function: adequate reaction to reality leads to
survival’ (Hofstee, 2001). Although this definition of the p-factor is not restricted to
emotional adaptation, it comes rather close to conceptions of emotional intelligence.
Unfortunately, the present measure of personality did not allow us to perform a
comprehensive test of the relationship between the p-factor and emotional intelligence.
Future studies may depart from the abridged Big Five circumplex model as developed by
De Raad et al. (1992). Although the present instrument for the Big Five was clearly based
on the interpretations of the main factors by De Raad et al. (1992), the item pool did not
comprise a comprehensive representation of the Big Five circumplex model.
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Emotional intelligence 121
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122 K. van der Zee et al.
academic success. It must be noted that the criteria that were used in the present study were
not very strong. Particularly, the social activities scale refers to social norms (Ciarrochi,
Chan and Caputi, 2000; Mayer et al., 2000), engagement rather than success, and was of
only moderate reliability. Future studies may for example relate assessment centre ratings
of social skills to evaluations of emotional intelligence. In addition, because the present
study was performed among students, the outcome measures could not be extended to
relevant work outcomes such as sales figures or profitability. Wagner and Sternberg (1985;
see also 1990), for example, showed a positive relationship between practical intelligence
and performance of managers in a management simulation, merit-based salary increase
among bank employees, and average performance rating with respect to generating new
business for the bank. For the use of scales for emotional intelligence in the context of
personnel selection and assessment their predictive validity has to be established against
criteria of real importance to job success. Nevertheless, the present findings provide
support for the incremental validity of emotional intelligence against all four criteria that
we used, giving us reason to have some fate in the additive value of this ‘elusive
construct’.
An important limitation of the present study concerned the fact that the range of
cognitive abilities may be restricted due to the fact that all respondents were students. This
seems to be an important problem when comparing the predictive value of cognitive
abilities and personality against success criteria, because it can be assumed that the
personality scores are not restricted in their range. However, in terms of external validity,
the EI instrument that was under evaluation in the present study was aimed at the higher
educational levels, making the ‘competition’ of personality and cognitive abilities in terms
of their predictive value rather representative for daily practice. It seems that our findings
generalize to the selection context in which the EI indicators are usually applied rather
than providing an ultimate answer to the question of how well intelligence may be able to
predict daily life success in the general population. Moreover, it was found that, taking
pupils from secondary education as a norm group, decile scores on five of the six GATB
scales were below the mean, with mean scores for four scales below 4, indicating that the
group was clearly not a selective group of highly intelligent individuals. Of course,
students from secondary education score above the general population level, and provide
by no means a representative standard. Future studies may try to replicate the present
findings among samples that are more heterogeneous in nature.
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