Page 43 - Kukanja Gabrijelčič, Mojca, and Maruška Seničar Željeznov, eds. 2018. Teaching Gifted and Talented Children in A New Educational Era. Koper: University of Primorska Press.
P. 43
Exploring Dutch Students’ Implicit Theories of an Intelligent Person

Table 2 Cross Tabulation of Gender of the Participant and Gender of the Depicted Person

Gender of the Gender of the depicted person Total
participant
Male Within gender Female Within gender

Male  .  

Female   . 

were added to get more insight into mind-set and the social status of the
pictured intelligent person.

Procedure
Data were gathered in a regular classroom, as part of a lesson. Students were
asked not to talk with each other, and desks were placed separately from each
other. They were told not to turn the page until a signal was given. First, they
were asked to answer the questions concerning themselves. Then they were
asked to draw a picture of an intelligent person within five minutes. After five
minutes of drawing, a signal was given. The participants all turned their page
and subsequently answered the questions concerning age and gender of the
person they depicted, rated characteristics, and had the opportunity to add
important characteristics not yet asked for. The whole procedure took twelve
minutes.

Results
Difference in gender pictured by boys and girls was found. Most of the male
participants pictured their own gender. Two boys pictured a woman and
added mum to their picture. Boys drew significantly more boys and girls drew
significantly more girls (χ2(1, n = 217) = 93.82, p < 0.001). The detected impact
of the gender of the participant on the gender of the picture was high (Φ =
0.658). Still a substantial number of the girls drew a male person as is shown
in Table 2.

A difference in age, attributed to the male and the female pictures, was
detected. The participants attributed a mean age of 25 years and 8 months,
to the male pictures. The mean age attributed to the female pictures was 14
years and 1 month. Comparing data of participants living in a rural area, to
data of participants living in big cities, a significant difference in attributed
age was detected. Participants living in a rural area attributed a higher age
to their depicted person (M = 27.85, SD = 20.2) than those living in the city (M =
18.64, SD = 12.2), t(114.37) = –350, p = 0.001. Looking at the gender of these de-
picted intelligent persons, another significant difference was detected. Par-
ticipants living in a rural area attributed a higher age to their depicted males

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