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Ciencia y Tecnología AlimentariaSociedad Mexicana de Nutrición y Tecnología de [email protected] ISSN (Versión impresa): 1135-8122ISSN (Versión en línea): 1696-2443MÉXICO
2007
M. Mata / O. Gonzalez / D. Pedrero / A. Monroy / O. Angulo
CORRELATION BETWEEN PERSONALITY TRAITS AND DISCRIMINATIVE ABILITY
OF A SENSORY PANEL
Ciencia y Tecnología Alimentaria, julio, año/vol. 5, número 004
Sociedad Mexicana de Nutrición y Tecnología de Alimentos
Reynosa, México
pp. 252-258
Red de Revistas Científicas de América Latina y el Caribe, España y Portugal
Universidad Autónoma del Estado de México
http://redalyc.uaemex.mx
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CORRELATION BETWEEN PERSONALITY TRAITS AND DISCRIMINATIVE ABILITYOF A SENSORY PANEL
AbstractThe correlation between personality traits and judge performance was studied. The 16-personality factors questionnaire of
Cattell was applied to 200 participants. Judge performance was evaluated following a series of taste and odor tests. Judgeswere then asked to rank basic different taste solutions. Finally, judges discriminated between purified water and sweet
solution (29 mM) using the triangle test. Participant’s health habits (smoking and alcohol consumption) were reported.
Results showed that, out of 200 recruited participants, 66 were found discriminators. No correlations between judge
performance and health habits were found. Two personality traits were correlated to sensory discrimination ability: The
serious type personality was correlated to discriminators, while the experimenting type personality correlated to non-
discriminators. These results suggest the importance of using personality trait tests during sensory judge selection.
ResumenLos rasgos de personalidad y la capacidad discriminatoria de 200 candidatos a jueces sensoriales fueron estudiados. Los
rasgos de personalidad se evaluaron a través del cuestionario de factores de personalidad de Catell y el desempeño de los
jueces se evaluó con pruebas de reconocimiento de olor y de sabor, pruebas de ordenación a diferentes niveles de dulzor y
pruebas discriminatorias entre soluciones de sacarosa al 29 mM y agua purificada, usando la prueba triangular. Algunos
hábitos de salud de los participantes (fumar y consumo de alcohol) fueron reportados. Los resultados mostraron que de los
200 participantes, 66 resultaron ser discriminadores. No se observó correlación entre los hábitos de salud y la capacidad
discriminatoria de los jueces. Dos rasgos de personalidad presentaron correlación con la capacidad discriminatoria de los
jueces: La personalidad ‘ seria’ se correlacionó con jueces discriminatorios en las pruebas sensoriales, mientras que la
personalidad ‘experimentador ’ se correlacionó con candidatos sin capacidad discriminatoria. Estos resultados sugieren la
importancia del uso de pruebas de personalidad en la selección de jueces sensoriales.
Keywords: Personality traits, sensory panel screening, sensory evaluation
Palabras clave: Rasgos de personalidad, selección de panel, evaluación sensorial
CORRELACIÓN ENTRE RASGOS DE PERSONALIDAD Y HABILIDAD DISCRIMINATORIA DE UNPANEL SENSORIAL
Mata, M.1; Gonzalez, O.1; Pedrero, D.2; Monroy, A.1; Angulo, O.1*
1Unidad de Investigación y Desarrollo en Alimentos. Instituto Tecnológico de Veracruz. M.A. de Quevedo 2779,
Veracruz, Ver. 91860. México.2 Pentasensorial S.A. de C.V, Santa Catalina. 313, Col. Del Valle, 03100, Mexico, D.F.
Recibido/Received 05-12-2006; aceptado/accepted 23-02-2007
*Autor para la correspondencia/Corresponding author. E-mail: [email protected]
252
INTRODUCTION
The quality of the sensory attributes of foods playsan important task in product acceptance (Cardello et al.,
2000; Costell, 2002). The food industry applies the sensory
techniques to understand the sensory attributes that would
allow for the product to stay successful in the market as
long as possible. The two big branches in sensory
evaluation are: Consumer testing and analytical testing.
The sensory attributes of a product are measured by using
analytical methodology that implies the formation of a
group of panelists. Panelists are expected to be sensitive
to the stimulus being evaluated and well trained in the
measurement of their attributes either by picking out
differences (Difference tests) or by describing attributes
(Scaling tests) (O’Mahony, 1995). The selection of panelists is done in different ways depending on the
purpose of the research (Pillsbury and Hudson, 1990).
Sometimes, a short screening on product sensitivity might
be sufficient to select a group of panelists. In other cases,
a complete set of tests might be necessary to find out about
life style habits and food frequency consumption (Hough
et al ., 1995). In either case, information related to health,
age and product sensitivity by the panelists has been noted
to be important. Some authors suggest that aspects such as
intelligence, comprehension, concentration and motivation
Cienc. Tecnol. Aliment. 5(4) 252-258 (2007)
www.somenta.org/journal ISSN 1135-8122SOMENTA Sociedad Mexicana de Nutrición
y Tecnología de los Alimentos
CIENCIA Y
TECNOLOGÍA
ALIMENTARIA
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253
should be considered upon panel selection (Krum, 1955;
Dawson et al., 1963; Martin, 1973 and Armstrong et al.,
1997). The 16-personality factors questionnaire (16FP)
was designed for basic research in psychology to describe
the short-term personality traits, which predict human
behavior in normal young adults (Setzer, 2000). Henderson
and Vaisey (1970) studied the relationship between
personality traits and judge performance in a non-trained
group. They found a correlation between high motivation
and high discriminatory judging ability. Pangborn and
Solms (1987) found a correlation between motivation, non-
confident , and outgoing personalities, measured by the
16FP, with salt and sugar consumption by consumers.
Similarly, Shepherd and Farleigh (1986) reported a
correlation between anxiety and salt intake. In summary,
it appears that motivation and personality traits play an
important role in consumer behavior. However, judge
performance at a laboratory level has not been studied in
relation to personality traits. In this study, the personality
test of Cattell (Cattell et al ., 1980) was used to test the
personality traits, which were then correlated to judge pe rformance in tast e and odor iden ti fica tion and
discrimination tests.
MATERIALS AND METHODSJudge candidates were invited to participate in the
study by public invitation throughout the Instituto
Tecnológico de Veracruz Campus in Veracruz, Mexico.
Candidates (200) were screened regarding time availability,
frequency of food consumption and motivation.
Information related to health status was also obtained from
the candidates. All participants were asked to take the 16FP
personality questionnaire, which contains 187 questions.Time invested to complete the test was 35-45 min. This
test has been validated for the Mexican population (Cattell
et al ., 1980).
Candidates were asked to identify each of the five
following basic taste solutions: Sucrose (29 mM), Sodium
Chloride (12 mM), Citric acid (2mM), Caffeine (2.5 mM)
and purified water. All reagents were purchased from
Sigma-Aldrich, Mexico. Candidates that identified each
of the stimuli (100% correct answers), were then tested
for odor discriminative ability by using the following
standards: Alcohol, powdered milk, vanilla extract,
peppermint, ground garlic, chocolate, cinnamon, dried
onion, powdered cheese, clove, and coffee. These materialswere obtained from the local market. Candidates with 75%
or more correct answers continued the testing (ASTM,
1981). Candidates were asked to rank the following
samples: Sucrose (29 mM, 43 mM, 58 mM, and purified
water), Sodium Chloride (12 mM, 13.6 mM, 15.3 mM,
and purified water), Citric Acid (2 mM, 2.5 mM, 3 mM,
purified water) and Caffeine (2.5 mM, 3 mM, 3.5 mM,
purified water). Candidates who achieved 70% or more
correct answers were then trained in the mechanics of the
triangle test. This test was used to rate performance
evaluating sensory differences between a sucrose solution
(29 mM) and purified water. Sequential analysis was
applied to discriminate between panelists performance
(Pedrero and Pangborn, 1989).
Statistical analysisData from the personality test were analyzed by chi-
squared ( χ
2
), where the variables were personality traits
frequency between discriminators and non-discriminators.
This statistical test was used because the data were
presented as frequency. The Pearson correlation coefficient
was inappropriate for frequency data, therefore, the
correlation between personality traits and judge
per formance was tested by using the coefficient of
contingency (C), given by the formula:
2
2
χ
χ
+
=
N C (1)
where χ
2
is calculated as usual. N is the total number of judges tested. It is important to mention that C never
approached 1. The maximum value reached for the
contingency coefficient (Cmax
) was 0.707, estimated by:
k
k C
1max
−
= (2)
where k is the number of categories in each
dimension (O´Mahony, 1986).
RESULTS AND DISCUSSION
Two hundred interested people responded to thecall, only 143 were recruited based on their interest,
motivation and availability (Dawson et al ., 1963).
Screening was done through verbal interviewing.
Henderson and Vaisey (1970) established rewards
depending on the achievement of the judge through verbal
stimulation and constant communication. In this study, care
Table 1. Some life styles of participants.
Tabla 1. Algunas características del estilo de vida de los participantes.
Characteristic
Male
(%)
Female
(%)
Smoking 22 18
Non-smoking 78 82
Alcohol consumption 48 39
Non alcohol consumption 52 61
Chili eaters 46 38
Non-chili eaters 54 62
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254
was taken as to motivate the participants by giving sweets
after testing. Out of the 143 subjects, 50 were males (mean
age 25 years) and 93 were females (mean age 25 years).
Similar number of respondents was reported by Gatchalian
et al., (1990) who recruited 200 candidates and selected
102 based on their interest and availability. The next
screening was done through a written questionnaire, in
which food habits and health status information was
requested. Participants were in good health status while
taking part in the study. Two recruited volunteers were
eliminated from the study due to asthma problems and
caffeine intolerance. Participants for sensory testing should
be in good health. Stone and Sidel (1993) have reported
that minor nose infections affect sensory perceptions.
Panelists were asked to avoid smoking and drinking coffee
at least half an hour before testing, since this might affect
sensory perception (Meilgaard et al ., 1999). Life style such
as smoking and alcohol consumption might relate to
sensory discrimination abilities (Bramesco and Setser,
1996; Krut et al., 1961). Therefore, these habits were
reported in this study so as to evaluate its relationship with
judge performance. In this study, 22 % male and 18 %
female were smokers; 78 % male and 82 % female were
non-smokers. So, the majority of the participants were non-
smokers. Alcohol consumption was considered either
taking an occasional alcoholic drink or never taking any
alcoholic drink. 48 % male and 39 % female participants
were alcohol consumers. Approximately the same
percentage was found for chili eaters (Table 1). Food habits
can be important predictors of sensory discrimination.
Lopez and Montesinos (1999) reported alteration in acid,
sweet and sour thresholds of chili eating judges. No
correlations between judge performance and the life style
considered in this study were found.
Personality TraitsThe 16-personality factors questionnaire (16FP) of
Cattell was designed for basic research in psychology to
Personality Factors Definition
Factor A Sizothymia Reserved
Emotional expression Affectothymia Outgoing
Factor B Low intelligence More intelligence
Intelligence High intelligence Less intelligence
Factor C Emotional ego weakness Affected by feelings
Ego High ego strength Emotionally stable
Factor E Submisiveness Submissive
Dominance Dominance or Ascendence Dominant
Factor F Desurgency SeriousImpulsivity Surgency Easy going
Factor G Lack of group acceptance Trusting
Group Loyalty Character Suspicious
Factor H Threctia Timid
Attitude Parmia Venturesome
Factor I Harria Tough minded
Emotivity Premsia Sensitive
Factor L Alaxia Self assured
Credibility Protension Apprehensive
Factor M Praxermia Practical
Cognitive Attitude Autia Imaginative
Factor N Naïveté Forthright
Subtle Shrewdness Shrewd
Factor O Untroubled Adequacy Expedient
Cautiousness Guilt Proneness Conscientious
Factor Q1 Conservativism Conservative
Social Recognition Radicalism Experimenting
Factor Q2 Group Dependency Group dependent
Assuredness Self Sufficiency Self sufficient
Factor Q3 Low Self Sentiment Integration Uncontrolled
Self esteem High Strength or Self Sentiment Controlled
Factor Q4 Low ergic tension Relaxed
Anxiety High ergic tension Tense
Table 2. Definition of 16 personality factors.
Tabla 2. Definición de los 16 factores de personalidad.
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judges are screened since stimuli memorizing, as well as
sensory description are desirable (Dawson et al ., 1963).
Basic taste perceptionWhen judges were asked to identify basic tastes
(sweet, salty, sour and bitter), 96 % identified the sweet
taste, whereas only 77 % identified the salty taste solution
(10 mM). Bitter and sour stimuli were identified 87 % and
88 % respectively (Figure 1). The selection criterion used
in this study was 100 % correct answers, meaning that
candidates should have identified all basic tastes correctly
255
describe the short-term personality traits, which will predict
human behavior in normal young adults (Setzer, 2000).Table 2 provides definition for the 16 personality factors
evaluated in this study. All participants were requested to
answer the 16FP questionnaire. The most common
personality traits found in participants were: Intelligence
(Factor B), Superego (Factor C), Impulsivity (Factor F),
Cognitive attitude (Factor M), Subtlety (Factor N),
Consciousness (Factor O), Social Status (Factor Q1), Self
esteem (Factor Q3) and Anxiety (Factor Q4). Intelligence
is an important personality trait to consider when sensory
Figure 2. Percentage of correct responses during odor identification test.
Figura 2. Porcentaje de respuestas correctas durante la prueba de identificación de olores.
8182
83
8788
90
92
9596 96 96
97
70
75
80
85
90
95
100
C o
r r e c t r e s p o n s e s ( % )
Peppermint Clover Milk Vanilla Garlic Onion Cheese Yoghurt Cinnamon Chocolate Coffee Alcohol
Figure 1. Percentage of correct responses during taste identification test.
Figura 1. Porcentaje de respuestas correctas durante la prueba de identificación de sabores.
77
87 88
96
0
20
40
60
80
100
C o r r e c t r e s p o n s e s ( % )
Salty Bitter Sour Sweet
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to be considered for the next screening test. Hough et al .,
(1995) used 65 % correct answers as screening criteria;
they selected 141 out of 226 candidates representing 62
% of the total candidates. In our study, even though the
criterion was stricter (100 % correct answers), a greater
percentage (77 %) of candidates were selected. In this study,
from 143 participants, 110 were selected by this test.
Odor discriminationDuring odor discrimination, subjects were more
prone to identify cinnamon, chocolate, coffee and alcohol
stimuli. Confusing stimuli were peppermint, garlic, onion
and clove (Figure 2). Subjects achieving more than 75 %
correct answers were selected (ASTM, 1981). From 110
candidates, 102 were selected using this test. Dawson et
al . (1963) reported that previous experience of the judge
with the stimuli is a good predictor of the discriminatory
ability. No information was collected from the participants
as to their previous experience with these odor substances.
Ranking testTable 3 shows the results for ranking taste solutions
at three different concentrations and water. When judges
were asked to rank four sweet solutions in an ascending
order, the first solution (Sucrose 29 mM) and the last
solution (Water) were given in a correct order by 91 % of
the judges. Second and third samples were placed in a
correct order by 86 and 84 % of the judges. The sweet
solution was perceived correctly with the highest
percentage (91 %). However, not all judges were able to
perceive the samples in a correct order, not even at the
highest level used in this study. Using the sour solution,
the water solution presented the highest (94 %) number of
correct answers (water was used in all fours basic tastes
ranking). The percentage of correct responses for the other
three levels of sour concentration varied from 56 % to 79
%. For the bitter taste, water was correctly identified by
79 % percent of the judges. Salty samples were the most
difficult solutions to rank as samples were misplaced in
256
Personality Traits 2 C
Factor A Reserved 0.0317
Emotional expression Outgoing 0.0968
Factor B More intelligence 1.1109
Intelligence Less intelligence 0.0060
Factor C Affected by feelings 0.2327
Ego Emotionally stable 3.3840
Factor E Submissive 1.0713
Dominance Dominant 0.0952
Factor F Serious 4.7118 0.3283Impulsivity Easy going 2.0909
Factor G Trusting 0.0635
Group Loyalty Suspicious 0.0758
Factor H Timid 2.7525
Attitude Venturesome 1.0638
Factor I Tough minded 0.0074
Emotivity Sensitive 2.0066
Factor L Self assured 2.5827
Credibility Apprehensive 0.0056
Factor M Practical 0.5405
Cognitive Attitude Imaginative 0.0590
Factor N Forthright 0.6743
Subtle Shrewd 0.3203 Factor O Expedient 0.4038
Cautiousness Conscientious 0.0056
Factor Q1 Conservative 0.0189
Social Recognition Experimenting 5.1404 0.5323
Factor Q2 Group dependent 0.0496
Assuredness Self sufficient 0.3749
Factor Q3 Uncontrolled 1.0318
Self Esteem Controlled 0.5289
Factor Q4 Relaxed 2.7905
Anxiety Tense 0.1564
Table 3. Personality traits, chi squared ( 2) and contingency coefficient (C).
Tabla 3. Rasgos de personalidad, chi-cuadrada ( 2) y coeficiente de contingencia (C).
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more than 50 % of the cases, making these results for salty
taste a probable subject of a more profound study. Only
66 subjects out of 102 were accepted by this ranking test.
Discriminatory ability was chosen according to the ASTM
manual (ASTM, 1981) that establishes 70 % correct
answers as a criterion of acceptance. Henderson and Vaisey
(1970) suggested that sensory discrimination is an ability
that requires both a high degree of concentration and
memory.
Discriminatory testsTriangle tests using 29 mM sucrose and water were
used to discriminate among the 66 judges. Three sessions
consisting of four trials (12 replicates) were applied to each
participant. Pedrero and Pangborn, (1989) suggested that
the training should be started with at least twice as many
panelists as required for product testing. All subjects were
able to discriminate the stimuli in this study.
Correlation
Calculated χ 2
for each of the personality traits
relating to judge performance are given in Table 3. The
contingency coefficient was calculated only when there
was a significant χ 2
value. In this study, the personality
trait that correlated well with high discrimination
performance of judges was desurgency, which represents
a serious type person (Contingency coefficient = 0.3283).
The personality trait that correlated with bad judge
performance was radicalism that is an experimenting
person (Contingency coefficient = 0.5323). None of the
other personality traits seemed to be correlated to judge
257
performance. There have been a number of studies
reporting correlation between judge performance and
personality, however since none of them used the 16PF
questionnaire, no comparison can be made with the results
from this study. Henderson and Vaisey (1970) used the
short version of the personality research form (PRF) to
evaluate the personality traits of a group of people as a
way of predicting judge performance.
They found a direct relationship between
nurturance and aggression scores and intensity of flavor difference ratings; a negative relationship between
autonomy, harmavoidance and impulsivity and degree of
flavor difference. The latter trait (impulsivity) correlation
was attributed to the tedious nature of the task, which could
have been avoided by motivation. The 16PF questionnaire
measures impulsivity, divided into desurgency and
surgency. Only surgency (Serious-type personality) showed
a correlation with high judge performance in our study.
Even consumer behavior has been predicted by
personal ity traits. Pangborn and Solms (1987) reported
a correlation between salt consumption and
cheerfulness, psychotic, doubtful and extroversion traits
in consumers.It appears from our study that two personality trait
factors may influence judge performance. That is, the
serious type personality describes discriminators, whereas
experimenting (radicalism) type personality represents
non-discriminators. It seems that personality traits may play
an important role in sensory tests, judge performance and
consumer behavior. This is a topic that deserves further
investigations.
91
8684
91
78
46 47 46
79
70
50
60
94
79
56
63
0
20
40
60
80
100
C o r r e c t r e s p o n s e
s ( % )
Sweet Salty Bitter Sour
Water
Conc. +
Conc. ++
Conc.+++
Figure 3. Percentage of correct responses when ranking water against three different taste concentration.
Figura 3. Porcentaje de respuestas correctas durante la prueba de ordenación comparando agua contra tres concentraciones de cada sabor.
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258
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