Different assesmen of Emotional intelligence
TOPIC 2: The assessment of EI.
Following my topic 2:
First of all, I need to say
that I handed over my PEC 1 without any answer about some questions topic 2. On
the contrary my mate maid a fantastic task 2: congratulations!. I forgot to
answer someones, but not others.
Despite answering PEC, I
didn´t my answers so good some weeks ago, due to I don´t mention Validity,
Reliability, or even Variance or Correlations. It is important to mention
because I can see a lot of questions about that and nowadays I am considering
adding it at the end. Even though that
I honestly believe that
Reliability and Validity are both math’s dates and there is a variable
interpretation according to culture and individuals as well. I said that because I remembered a Pilot balance for young
people when I was younger, in the Red Cross. In that case, I did some
instruments to measuring and even a Liker scale, I tried a pilot
assessment.
Despite good statistics dates,
not every think is statistics, not everything is a number, and they are
emotions as well.
I would like to summarize
my ideas of the second topic into 2 parts:
On the one hand, validity
and reliability, internal consistency, or maybe variance!
On the other hand, EI
models; TEIque, TMMS, EQi, MSCEIT,...and so on.
Finally, my opinion is that we
are humans and emotional living creatures.
but increasingly they are hundreds and hundreds of
humanoids, adds or health prosthesis because technology is from time to time
better.
After all, I would like to say
that they are some different instruments to measure trait and ability of EI.
Furthermore, they were some of them which are mixes too.
On the one hand, I like speaking about Reliability and Validity. Using
Google Scholar, I search papers exploring this literature and more
competing measures of EI. Both of them on Uned and the net.
We can find
different constructs for measuring: ability, trait, and Mixte
For instance, MSCEIT is an
ability model, TEIque is a trait model or even Bar-On is a mixes model (with
ability measurement and trait).
TEIque. Internal consistency=.
89,
But we find different references
in facets and 4 factors=.64 and .92
Reliability,test.retest=.59 and .86
Constructo-Validity=some evidence in factorial
analysis
MSCEIT. Internal
consistency=.91 (.81manegement e, .77 compression, .76 facilitation and .9
for
perception)
Reliability=.93
Discriminant-Validity in personality and well-being
STEM
Internal consistency are different by different studies (steu=.71 or stem=.68)
Stem -Y, Reliability=.73/ Stem -YNV=.80
Different types of validity
EQi
Internal consistency=.97
Reliability=it´s different by time .85 or. 75
Validity=.59
In my opinion there are too
many variables and constructs and models to measuring EI and maybe too much
information as well.
On the other hand, I mention 2 exploratory tables about different models:
and assessment
The first one is referred to MSCEIT, Goleman and Bar-On (EQ-i 2.0) and
The second one it referred to TMMS, TEIque, WLEIS and
EQ-i,BAR-on
MSCEIT |
Goleman |
Bar-On, 133 items, 5 factor |
-Perceiving emotions -Facilitating thought -Understanding emotions -Managing emotions |
-Self-awareness -Self-management -Self-awareness -Relationship management |
-Self- perception -Interpersonal -Decision-making -Self- expression -Stress-management |
The second one it referred to TMMS, TEIque, WLEIS and
EQ-i,/BAR-on
TMMS, test 30 items /5 point
Liker |
TEIque, 150 items (15 facets
and 4 factors) |
WLEIS scale Wrong and Law EI scale |
EQi 133 items and 15 subscales |
Scores on 3 factors: -Attention to emotions -emotional clarity -emotional repair |
Questionaire more versatile
and broadcast 4 elements: -emotion -work -people feeling -relationship |
Consist of 2 parts; 1)20 escenarios 2)20 ability pairs WEIS is a scale based in 4
ability dimension: 1)expression e. in self 2)recognition e, .other 3)regulation e in the self 4)use e to performance |
Facets limitation: -Problem solving -reality testing
independence -emotion perception -e expression -e. regulation |
To sum up,
Validity, Reliability, or even
Variance or Correlations. There are important to mention because I can see a
lot of questions about that and nowadays I am considering adding it at the end.
Even though that
I honestly believe that
Reliability and Validity are both math’s dates and there is a variable
interpretation according to culture and individuals as well
Some important notions that should be emphasized are: reliability and
validity. Internal consistency and variance. Is more there is a need to stress
the social and publica awarenwss
dimensions of learning
Variance (a)= it is a measure of the dispersion of the distribution of the
test or measurement results under repeatability conditions; test-retest
Reliance (tool/instrument)= there are some methods most regular to
show/prove the internal consistency in a test-retest. Item of a test is
measure by alfa de Cronbach. If the alfa coefficient obtained is more
than 0,7, then we have a good internal consistency.
Validity(items of the test) and for validating contents My question about
this is: Are data collection manuals sufficiently clear to ensure Validity in
the field work?
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