Investigating the Correlation Between Extraversion and Introversion in Males and Females
This study's aim is to find out if there is any correlation between
extraversion and introversion in males and females, using an Eysenck
personality questionnaire. There were seventy-two participants who
took part in the completion of the questionnaire. The participants
then completed an EEG experiment to find the measurements of each of
the standard deviation and frequency levels in the alpha-wave
recording segment. What we expect from our findings is that extroverts
are predicted to have higher amplitude, lower frequency wave than
introverts.
Although there was seventy-two participants took part in this study, 3
of which were excluded as their gender and age were not recorded.
Another 10 were also excluded as no matching 'alpha-wave' measurements
were found; this left a total sample of 59. We used the Cronbach's
alpha coefficiency reliability scale of .87, whereas the sample number
was 59, the items were 6 and the alpha equalled .8672.
We discovered from the information recorded that the mean score for
extraversion was 3.7 and from this we were able to categorise them
between low and high, with low being <3.7 and the high being ≥ 3.7.
We further investigated the study by using a t-test for a statistical
analysis. We wanted to find if the means for SD1, SD2 and SD3 as well
as Freq1, Freq2 and Freq3 vary between those categorized as high and
low on the extraversion. As the findings in Sd2 were
t= -2.084, df = 57, P<.05. Therefore this tells us that there is a
significant difference with this item and the null hypothesis was
rejected as a result.
INTRODUCTION
The investigation we will be carrying out will be focused on the EEG
alpha wave (8-18Hz) in conjunction with extraversion/ introversion and
this is measured by the Eysenck Personality Questionnaire - revised
and abbreviated version (EPQR-A). this study was carried out on a
class of seventy-two psychology students based at the University of
Ulster's Magee campus.
The EEG (8-13Hz) measures the electrical activity of the brain as