Section 1: Published Articles
Section 1: Published Articles
Each year, the coming of spring brings about new life and color, redolent of masterpiece artwork and installed against winter’s grey backdrop. This year, as we all emerge from our Covid cocoons, many of us are feeling this new season as something familiar, yet brand new, and with a nostalgic sense of spring, it seems as though we are seeing the purple of newborn wildflowers with an almost tangible, heart-skipping palpability and hearing the choir of birds with newfound ears.
Equipped with this fresh, resplendent feeling of spring, I began to realize – there is so much to love about God.
Bright pops of pink, verdant greens around glass-covered lakes and delicate dashes of daisies have been purposefully placed among us by the Master Painter. And the painting is a brilliant, endless magnification of beauty, flowing in and throughout the grandeur of our universe.
I could not draw breath or write this article without God’s hand driving my every heartbeat. I could not know love for my Savior, Jesus Christ, without Him having first loved me. I could not know beauty without this painted earth. I could not know architecture without witnessing the mountains scrape the sky while simultaneously kneeling down to greet the grass. Our God is the Grand Architect, the Great Mathematician, the Poet Laureate of all time and space, the Almighty, and infinitely more.
My favorite verse in the Bible is Philippians 4:8. Its directive is clear when it states, “Finally, brethren, whatever things are true, whatever things are noble, whatever things are just, whatever things are pure, whatever things are lovely, whatever things are of good report, if there is any virtue and if there is anything praiseworthy—meditate on these things.” It seems to me that the Holy Spirit is instructing us to peel away the grime and pessimism that, without our vigilance, attaches itself to our every outlook.
So many of us fail to carry out Philippians 4:8, not because we do not wish to absorb that which is lovely and pure into our spirits, but more often, it is because we are entirely too busy, too distracted, or simply too overwhelmed with responsibilities to remember that our Maker has created a world of beauty, poetry, and splendor. God’s grace allows our senses to interpret a warm summer breeze, the smell of freshly fallen rain, or the laughter of a child into revelations of beauty. And like honey to our souls, we need only take notice of these seemingly small events to find a bit of solace in a fallen world.
We must take the time to reflect upon the handiwork of our Lord and the unsurpassed poetic beauty with which Jesus speaks. This is not a task that should be seen as obligatory or burdensome, but one that gives our souls space to breathe and allows us to peer into magnificence itself. Through acceptance of our dear Savior’s sacrifice on the cross, we are able to gain passage into heavenly eternity. Until then, let us do all we can to follow the Word of God and hold the precious gifts He gives us each day in our hearts like treasures.
By Vicky Arias
street lamps
in a cold, displaced night
throw their golden glare
across a spectacle of hope-
my sanguine spirit
steps into the moment
of this gift, undeserved.
my God, You draw me near
and I...
can do nothing
but fall at Your feet in awe
- V. Arias
when the birds arrived
I was a belly of tears,
hands cupped and wringing.
To the floor, I fell...
where the ground had never been
so warm.
Like an old friend,
it embraced and fell around me.
and I sobbed
and I remembered
and I saw clearly
when the birds arrived
- V. Arias
O! Maker of wisp & petal
of cloud & creature
I see You everywhere
I need only
behold the overlooked
where
seed and heartbeat,
meet harvest and sand
And bone and breath
fall
across distant lands
- V. Arias
Vicky Arias
January 2019
The language system of humans is a one of a kind structure, unlike any other and unique to humanity. When compared to other communication systems, like those of animals and insects, human language is, at its core, distinct. In the following paper, I will discuss this fact in further detail, as well as other facets of linguistics.
The beginnings of human language are unknown, as there was no writing system at its genesis and, therefore, no recorded date of its origination. It is speculated that there was likely one ancestor language for all of humanity, but as people learned to speak in different ways, their speech was articulated with varying pronunciation. This led to, using a simplistic example, Latin becoming Italian in Italy and French in France. Linguists view the origins of language in a couple of different ways. Some, like Steven Pinker, theorize that it is continuity-based, meaning that it has its base in animal communication but has evolved to gradually include more complex meaning, sounds, and form. Others, like Noam Chomsky, believe that it is discontinuity-based and completely different from the basic communication that occurs between and among animals; that somehow something occurred in our brains to allow for the development of language. The argument among linguists is steeped in the manner by which language came to be. For some, these explanations are glazed over and too ambiguous, given that the progression, or lack thereof, of animal communication has not given way to superior communication between these creatures. Instead, there is an ongoing stasis and lack of progress within ape and other animal languages. It is difficult to know the original path, for certain, that the first birth of language took. The only tangible remnants of that path are human skeletal remains, which can only be studied insofar as to examine the size of the vocal tract and other physical features contained within the fossils. The actual utterances that were spoken are lost to the passage of time, rendering a specific time stamp of the origins of human language impossible.
The differences between human and animal communication systems are rather easily detected within our consciousness, but there are also rules that determine one system from another. Many creatures utter sounds, or make speech noises but these communications are at a more base level. While animals and insects do communicate with one another, their systems aren’t really perceived as language. For instance, the language of humans has many more signs than apes, or any other animal, and the differences don’t stop there. It also has a process for negation; a way to communicate what is not the state of things. In addition, attempts to teach apes human language have proven to be elementary and crude, at best. There are three parameters, or dimensions, that distinguish the differences between human and animal communication. They are: discrete infinity, displacement, and joint attention.
Discrete infinity is the idea of taking a finite set of symbols and expressing an infinite number of expressions. For example, the English language alphabet has twenty-six characters in it, yet a person is able to convey an infinite quantity of thoughts or ideas, using this small pool of symbols. A specific example is listed below.
Example of discrete infinity: A man thinks to himself – “I like butterflies.” Then “I like red butterflies.” Later, he decides, “I like red butterflies in the summertime.” The man may proceed to realize, “I like red butterflies and blue birds in the summertime in Berlin.” These combinations of thoughts can go on into infinity with “Berlin” changing to “Paris” and “blue birds” becoming “swans” and so on and so on.
This free association of a man’s thoughts is as unlimited as his mind will allow him to be, yet when he speaks or writes about those thoughts in English, he will always pull from the same finite group of symbols contained within that twenty-six character alphabet. Similarly, apes have a determinate amount of calls to pull from when communicating with one another. The difference, however, between the finite human alphabet and the finite ape calling system is that, while humans can combine expressions infinitely, apes, or any other animals or insects, cannot. They may make a call for danger or hunger or both, for instance, but they lack the ability to combine calls infinitely in order to make new thought declarations.
The concept of displacement determines that humans can speak about time, space, and abstract notions, while animals cannot. It is the idea that human language is able to discuss the beauty of the moon or the agony of a broken heart. It has perceptions of past and future events, with capabilities to review histories and conceptualize upcoming circumstances.
Bees, for example, can communicate to other bees through dance. With this dance, they can explain to other bees where they’ve found a honey source. In this way, they talk about space; the space from the hive to the food. They cannot, however, discuss a flower and its relativity to beauty or communicate something fictional, like there are little green fairies flying through the forest. Below, I’ve added a link to a video containing more information about this waggle dance. It was put out by Georgia Tech College of Computing and written by Andrew Quitmeyer and Tucker Balch.
https://www.youtube.com/watch?v=bFDGPgXtK-U
The third distinction between human and animal communication is known as joint attention. Also referred to as shared intentionality, the idea of joint attention cites the fact that humans often work with a shared goal in mind. To this end, humans must delve into the goings on of another person’s mind and attain a sort of conscious link. This link aids humans in working together to achieve a common goal. Of course, we can never know for certain what another person is thinking, but we can get a sense of it. For example, if a group of people see a drowning child, they will very likely communicate quickly with one another in order to save the child’s life. By contrast, apes may all look at the same object and have an understanding of what it is, but do not work together to the same extent as humans to attain a goal. In this way, language for humans is cooperative, whereas, communication between animals is often self serving, like the pack of wolves that works together to hunt prey in order to extinguish hunger and survive.
Now that I’ve explained some of the differences between human language and animal communication, I will take a look at prevalence, language families and types. Most of the world’s languages are grouped into language families. They are: Indo-European, which includes most European and Asian languages; Dravidian, which includes languages from South Asia; and Niger-Congo, which encompasses Sub-Saharan Africa. There are also some languages that are isolated and, therefore, not part of a family.
Currently, there are an estimated 6,000 – 7,000 languages in the world, however, this is only an approximation, as in some regions, the language is unknown or the local dialect could be determined to be a language unto itself and separate from its original language. For example, Chinese has many different dialects that are all very different from each other, like Mandarin, Xiang, Min Zhong, Gan, and Yue, to name a few. These dialects all fall under the Chinese language umbrella and are, therefore, counted as one language, though some would consider each dialect a different language. It is known that many languages are dying out due to aging populations, integration with other language groups, and even genocide. As a result, linguists approximate that about 3,000 languages will become extinct by the end of the century. For now, the top ten spoken languages in the world, in order of most prevalent to least are: Chinese, Spanish, English, Hindi, Arabic, Portuguese, Bengali, Russian, Japanese, and Javanese.
Sign language is another human language, with the only difference being that speech isn’t used. There are hundreds of different types of sign used around the world. The parameters of these languages are: hand location, hand shapes, hand movement, hand orientation, and facial expressions. The study of sign language looks at what happens to language when a procedure other than spoken word is employed. Sign language typically uses one of two manners of communicating an idea. They are: tracing and embodiment. With tracing, a person traces a line in space depicting the object that they are talking about, whereas, with embodiment, a person will embody the object. For example, if a person is referencing a bottle using embodiment, they will hold up their arm and their forearm will symbolize or embody the bottle. In Europe, for example, tracing is more prevalent and in West Africa, embodiment is more often used.
Apart from sign language, sound is the building block of language. Specifically, vocal sound that forms vowels and consonants into words. Certain sounds, like grunting, whistling, or the clapping of hands, although theoretically possible, are never used as language. An outlandish example of this possibility would be:
clapping of hands = love; whistle = flowers; grunting sound = woman. Using this formula, grunt + clap + whistle = woman loves flowers. These types of sounds, while they may, indeed, communicate certain feelings, are never used as language.
The International Phonetic Alphabet is a system of writing down the different sounds that exist within a language, i.e. the vowel and consonant sounds. Phonetics is the study of the physical and physiological aspects of sound, or the way sounds are physically produced.
Consonants and vowels are produced within the mouth in different ways. With vowels, the air stream is unimpeded. For example, the sound “ah” is created when the mouth is opened and there is no impediment to the air going out. By contrast, consonants are formed by making obstructions with the mouth. An example of this obstruction is the letter “P”. When constructing the “P” sound, the lips are closed and the air stream is pushed out of the mouth.
Consonant sounds differ from one another in three ways. The first is the place of articulation. This refers to the location in the mouth where the sound is created. Specifically, there are labial, alveolar, and velar sounds formed by the mouth. Labial refers to sounds made using the lips, alveolar denotes the alveolar ridge of the mouth and the placement of the tongue thereon, and velar sound involves the use of the body of the tongue to touch the back part of the mouth. An example of a labial sound would be “m”; alveolar sound would include examples like, “luh” as in love, “tah” as in torn, or “dah” as in drawn; and instances of velar sounds would be “kuh” as in could or “guh” as in golf. The second distinguishing factor between consonants is the manner of articulation. It’s what occurs within the air stream. For instance, the mouth can be partially closed so that only a small amount of air may escape when speaking, as in “suh” or “fuh”. These sounds are referred to as fricatives. Another manner of articulation is the nasal sound, where the mouth is closed and, therefore, air is forced to escape through the nose, as in “muh” and “nuh”. The last way that consonant sounds are formed differently is through the use of vocal cords. That is, consonants differ in sound based off of whether or not the vocal cords are vibrated during the utterance.
So, in conclusion, vowel sounds and consonant sounds are different. Consonants require some sort of obstruction to occur in the mouth, while vowels have no obstruction. There are many techniques of producing obstructions with the mouth and it is likely for this reason that, for the majority of languages, there are far more occurrences of consonants than vowels. In fact, consonants are used to convey meaning, while vowels are used to denote grammar and grammatical structure. For example, vowels can be removed from English words, and the words will retain the ability to be understood. Also, it is the practice of the Hebrew and Arabic languages to not ever write vowels down, yet the meanings of their words are still delivered.
Phonology is the study of sounds as part of language, rather than, as in phonetics, the study of the physical aspect of sound itself. This field takes the aspects of sounds and puts them together to form features. For instance, “T” is, in actuality, a combination of phonetic sounds. It is plosive, alveolar, and voiceless all at the same time. These “features” help us to understand what is known as the path of acquisition, or the sequence in which children learn language. In English, children are likely to learn “P” and “T” first, meaning that they have learned the features known as voiceless, labial, plosive, and coronal. Next, they will often learn nasal sounds, like “M” and “N”. They build one feature into another and start to combine them. From there, words and sentences can be formed and thoughts and ideas can be communicated.
All children, with the exception of extreme cases, will develop language learning and begin to speak full sentences just by hearing or seeing them, as is the case in sign language. In rare instances, a child will be born into physical or psychological abuse and, as a result of trauma, not be able to learn a language. An example of this is a phenomena known as wolf children, where we see cases of children being abandoned and growing up with no parents or guardians and outside of the realm of spoken language. This situation is extremely rare but has been known to happen. Another example is the case the American girl known as “Jeanie”. She was locked inside a room by her father from when she was 20 months old until she was 13 years of age. Her father was severely mentally disturbed and would bark at her, allowing her no contact with the outside world. The child’s mother wasn’t allowed to speak to her and she did not learn any language. Later in her life, the effects stayed with her as she was not able to learn how to combine words to form infinitely different sentences. Another problem with speech can arise in people who have lost their ability to speak as a result of brain damage or a stroke. This is called aphasia. If there is a problem with a person’s brain function, there can be a problem with a person’s language abilities.
Next, I will explain the concepts of semantics and pragmatics. Semantics refers to the literal meaning of information that has been conveyed. Semantic statements can be tested to see if they are true or false. This can, however, get a little sticky. If a woman says she is reading a book, some will interpret that to mean the classic idea of a physical object bound by a cover, with pages inside. However, the woman may have been, in actuality, reading a magazine or an e-book. She hasn’t lied, but her precise meaning could be misinterpreted.
In pragmatic statements, context rather that literal meaning, is key. One must take into consideration what the speaker is trying to accomplish and their reasoning for making the statements they’re making. They may be ordering you to do something, trying to inform you of something, apologizing to you, etc. Context isn’t needed to understand semantic meaning, but it is absolutely essential when deciphering pragmatic meaning.
A key part of communication is disclosure of information. To illustrate this, I’ve provided the following example.
A husband tells his wife that he has eaten half of the apple pie that she baked when, if fact, he has eaten the entire apple pie. Upon realizing that her husband has eaten the whole pie, the wife becomes quite frustrated. She perceived what he said to mean exactly half. Semantically, her husband did not lie to her. He had, indeed, eaten half of the pie. In order to eat the whole thing, he must have eaten half of it.
The problem was that the husband was not as informative as was possible for him to be, thus the frustration of his wife. In society, there is an understanding among people that there is meaning behind what they are saying and that they have disclosed all pertinent information, within reason, pertaining to the subject about which they are speaking. To not disclose the proper context about the subject matter at hand is to misuse the context, rendering a communication breakdown. In situations like this, a person will often feel upset and question the honesty of the speaker.
As we’ve seen, language is very uniquely human. Our ability to communicate is an invaluable aspect of our consciousness. To be in a reciprocal state of communication from one human being to another is a connection like none other. The gift of relaying emotion, information, thoughts and ideas to a realm outside of oneself is to step into a domain of integration and perception of a world within a world. Our words, injected into the jet stream of humankind, form a river of expression that flows through time and space, filling eyes and ears with declarations and realizations about physicality, emotionality, spirituality and beyond.
Works Cited
"The Waggle Dance of the Honeybee", edited by Andrew Quitmeyer and Tucker Balch, Georgia Tech College of Computing, 2 February 2011, https://www.youtube.com/watch?v=bFDGPgXtK-U .
Anderson, Stephen R. "How Many Languages Are There In The World?" Linguistic Society of America Brochure Series, 2010, https://www.linguisticsociety.org/content/how-many-languages-are-there-world .
Jackendoff, Ray. "How Did Language Begin?" Linguistic Society of America, 2006,
http://www.linguisticsociety.org/sites/default/files/LanguageBegin.pdf .
van Oostendorp, Marc. Miracles of Human Language: An Introduction to Linguistics, September 24, 2018 - December 19, 2018, https://www.coursera.org/learn/human-language .
EMOTIONAL INTELLIGENCE TESTING AND ITS VARIOUS FORMS
Vicky L. Arias
DePaul University
Abstract
The concept of emotional intelligence, or EI, has been studied by many scientists in brain and psychological studies. In their definition of EI in 1990, Mayer and Salovey define it as the capacity of one to correctly express and assess their own emotions and the emotions of others, manage these emotions appropriately, and employ them to reach life goals (Salovey and Mayer, 1990). In effect, Mayer and Salovey are proclaiming EI to be ability-based, or inherent at birth. Similarly in the literature, EI is defined as an ability to identify one’s own emotions, as well as the emotions of others, perceive the commencement of those emotions, and employ these abilities to strengthen positive behaviors (Fiori, Antonietti, Mikolajczak, Luminet, Hansenne, 2014). Adding to this is the declaration that EI is not only ability-based, but consists of three levels, which are “knowledge, abilities, and traits” (Mikolajczak, Brasseur, Fantini-Hauwel, 2014). Elsewhere in the literature, EI is referred to under the label of emotional competence (EC), indicating that it can be learned (Brasseur, Gregoire, Bourdu, Mikolajczak, 2013). As a result of these definitions, two types of EI theory have come forth. They are ability EI and trait EI. This research proposal will look at various testing methods for ability-based EI and trait-based EI, and the aspects of those tests. It will evaluate whether abilities-based emotional intelligence testing or trait-based emotional intelligence testing is the best practice. My hypothesis is that trait-based EI testing will be better suited to uncovering the emotional intelligence of an individual.
Chapter One
Introduction
In order to better understand emotional intelligence and its application, testing methods have emerged. My research will ask the following question: Are there testing measurements that can evaluate emotional intelligence and, if so, which measurements may work best, and which evaluative factors were found in those tests to be significant? The reason for my study is that it has been asserted that “EI will be a more effective predictor of academic success and life achievement than general intelligence” (O’Connor, R., Little, I., 2003, p. 1893-1894). If this is true, then it would be logical to assume that emotional intelligence could pervade a majority of life areas, like an individual’s work life, personal life, and the relationships that one has with others. To be able to measure emotional intelligence could possibly prove to be very useful in predicting strengths and weaknesses in these areas for individuals, and could point to areas that are lacking, and in need of attention.
Two competing systems of assessing EI have come to the fore. The first type is the system of testing EI as an abilities-based construct and the second type of testing looks at EI as that which is based on traits and tendencies. Abilities-based EI testing assesses an individual’s “emotion-related cognitive abilities” (Petrides, 2011, p. 657), which are measured by performance on a standardized test. This testing is evaluated against answers that have been predetermined to be correct based on a set of typical answers given by a sample group in tandem with answers that have been provided by professionals in the field of emotion studies (Mayer, Caruso, Salovey, Sitarenios, 2003). By contrast, the trait view of EI, or “Trait EI” (Petrides, 2011, p. 660) uses testing that requires individuals to provide self-assessments of their emotions through self-declared proclamations. This type of test does not have a standardized ‘right and wrong’ answer key. Instead, it allows the tester to self-examine any problem areas they perceive. For example, an individual may be asked to evaluate if they often feel happy by employing a Likert scale, (Brasseur et al., 2013). A Likert scale is a system that can be used for many testing purposes, including the two testing systems we are looking at, trait-based EI testing and abilities-based EI testing. It measures value based on the degree to which an individual agrees with a statement, which can range from no agreement to some agreement to full agreement.
The nature of my research is descriptive in that it will attempt to investigate that which already exists, which is emotional intelligence (EI) testing.
DEFINITIONS OF THE TERM EMOTIONAL INTELLIGENCE:
Emotional intelligence |
A set of skills hypothesized to contribute to the accurate appraisal and expression of emotion in oneself and in others. |
Salovey, P., Mayer, J., 1990, p. 185 |
Emotional intelligence |
The individual differences in the identification, understanding, expression, regulation and use of one’s own emotions and those of others. |
Mikolajczak, M., Brasseur, S., Fantini-Hauwel, C., 2014, p. 42 |
Emotional intelligence |
The knowledge and/or competencies to effectively deal with emotions to regulate social and emotional behaviors. |
Pekaar, K., Bakker, A., van der Linden, D., Born, M., 2017, p. 222 |
Emotional intelligence |
The capacity to recognize emotions in oneself and others, understand how they originate, develop, and change during emotional experience, and use this understanding to enhance thinking and behavior. |
Fiori, M., Antonietti, J., Mikolajczak, M., Luminet, O., Hansenne, M., 2014, p. 1 |
Emotional intelligence |
A constellation of emotional perceptions operationalized via questionnaires and ratings scales. |
van der Linden, D., Pekaar, K. A., Bakker, A. B., Schermer, J. A., Vernon, P. A., Dunkel, C. S., & Petrides, K. V., 2017, p. 39 |
Chapter Two
Review of the Literature
Abilities-Based EI Testing
The theory behind abilities-based EI testing is that individuals possess a certain capacity to cognitively recognize and express emotions. The predominate, most ubiquitous and popular test to measure emotional intelligence as an ability is the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) (Fiori, Antonietti, Mikolajczak, Luminet, Hansenne, Rossier, 2014). It is the most commonly used assessment in evaluating emotional intelligence ability, or that which is inbuilt. It measures this theorized capability with items that have been determined by its creators to have right or wrong answers. It employs a Likert scale, with 1 meaning that an emotion is not there and has not been produced whatsoever through 5, meaning that an emotion has certainly been produced and is absolutely active. The test can be self-administered if you are qualified. If you are not qualified, then a qualified professional must administer the test to you. The effectiveness of the test is seen as promising, however, certain aspects of it have been called into question. Scores on the MSCEIT have been known to be misrepresented in individuals with average or high emotional intelligence, meaning that they do not accurately distinguish between the two (Fiori et al., 2014). This is because the test items are not nuanced enough to have an effect on categorizing low EI individuals versus average to high EI individuals and, as a result, average EI individuals often get grouped together with high EI individuals and vice versa. This being said, there is, however, significant effect in using this test to determine individuals considered to have low EI.
Another facet of the MSCEIT is that it is positively correlated with verbal and non-verbal intelligence (Kong, 2014). The ability-based definition of EI causes it to be implicitly linked to intelligence, which essentially denotes various echelons of mental and intellectual abilities. It has been
reasoned that EI is in the same vein as verbal intellect, which would account for the positive correlation (Kong, 2014). Abilities-based EI testing essentially provides an overview of what a core group of individuals, i.e. a sample group and group of experts, have gauged to be emotionally intelligent. That is, if an individual scores highly on an abilities-based EI test, then, according to the preset determination of the test, that individual is considered, by the authors of these types of tests, to possess emotional capabilities at the “maximum performance” (Petrides, 2011, p. 657) level within society. As a result, it is argued that high scoring individuals hold a greater capacity for emotional intelligence than a low scoring individual.
Trait-Based EI Testing
The theory behind trait-based EI testing is that one’s emotional make-up is closely tied to one’s personality traits, for example, sociability (Petrides, 2011). Trait-based EI testing provides a measurement of the differences of emotion management of self and others from person to person through individual self-assessment. By assessing individual differences, trait EI tests are informative on a more personal basis. It is also stated in the literature that trait EI is associated with “outcomes such as job performance.” (van der Linden, D. et al., 2017, p. 39)
Unlike abilities-based EI testing, trait-based testing offers several more testing instruments. Three of those instruments are: The Trait Emotional Intelligence Questionnaire (TEIQue) (Petrides, K., 2009), The Profile of Emotional Competence (PEC) (Brasseur, S., Grégoire, J., Bourdu, R., & Mikolajczak, M., 2013), and The Rotterdam Emotional Intelligence Scale (REIS) (Pekaar, K., Bakker, A., van der Linden, D., Born, M., 2017).
The Trait Emotional Intelligence Questionnaire (TEIQue) is a test that may be self-administered or given by a professional. It consists of a series of 153 self-reporting questions using a Likert scale (Petrides, K., 2009). The strength of this test is that it claims to examine the self-perception aspects of emotions, which are fluid, rather than emotional capabilities, which are innate and inherent at birth, and have already been looked at on the MSCEIT Emotional Intelligence Test (2002). It explores 15 different dimensions of emotion, such as emotion management and perception, as well as optimism and happiness, and provides scores on all 15 of these dimensions.
The Profile of Emotional Competence (PEC) is a self-reporting test that employs 50 items consisting of multiple choice as well as Likert scale questions, in order to obtain a measure of emotional competence (EC), which looks at the differences of individuals in how they regulate their own emotions as well as the emotions of others (Brasseur et al., 2013). The goal of this instrument is to measure 10 different aspects of emotional intelligence, focusing on intrapersonal emotional
intelligence, or the management of one’s own emotions and interpersonal emotional intelligence, or the management of emotional interaction with others’ emotions (Mikolajczak, 2014).
Thirdly, The Rotterdam Emotional Intelligence Scale (REIS) is a test that was developed to measure the mechanisms that underpin emotional intelligence in and of itself (Pekaar, Bakker, van der Linden, Born, 2018). Since most EI measurements do not demarcate a line between ‘self’ emotional
assessment versus ‘other-focused’ emotional assessment, the main focus of this test is to differentiate between these two factors of EI. In addition, it addresses the regulation of emotions. This assessment is similar to The Profile of Emotional Competence (PEC) test (2013) in that the PEC attempted to differentiate between self-assessment of emotions versus one’s ability to assess the emotions of someone else, or other-focused emotional intelligence. The PEC falls short, however, in keeping focus on self versus other assessment, or appraisal, due to its efforts to distinguish between ten different features of EI, thereby pulling itself in too many directions and spreading itself too thin.
The Rotterdam Emotional Intelligence Scale (REIS) (2017) test distinguishes between four different aspects of emotional intelligence. They are: self-focused emotion appraisal, self-focused emotion regulation, other-focused emotion appraisal, and other-focused emotion regulation. The goal is to attempt to determine which smaller EI characteristic is associated with which larger emotional criterion. This test essentially evaluates whether or not the capacity of an individual to accurately manage / recognize their own emotions is comparable to their capacity to accurately manage / recognize the emotions of others. It is a 28-item test measurement and the results show that the REIS
test methodically examines both self and other-focused emotional intelligence, which allows for future deeper understanding of the smaller units of intricate dimension that make up the greater total scope of EI.
Issues with the MSCEIT Test
Since its inception in 2002, the reliability of the MSCEIT test has been debated. Given that the instrument is the only standardized abilities-based test for EI (Fiori, Antonakis, 2011) and that it is the most widely used, debate is to be expected. There are advocates as well as critics of the abilities-based test. One critique of the instrument is that its scoring method is flawed because it uses consensus scoring (Maul, 2012). Maul argues that scores deemed to be in agreement with a consensus doesn’t necessarily mean that those scores are accurate. He uses the example of the “camera smile” (Maul, 2012, p.397). It is a situation where a person fakes a smile. In a genuine smile, an individual’s eye muscles move with expression. However, with a fake smile, the eye muscles of the individual are not animated upon smiling. Instead, they remain still and unused (Maul, 2012). Many people would not detect this minute discrepancy in the stimulation of the eye muscles attached to a disingenuous smile. The majority would likely judge the smile to connote happiness when, in reality, it does not. Using this logic, Maul points out that consensus agreement that a smiling face equates to the emotion of happiness would be incorrect. Maul exacts this logic onto the consensus scoring method of the MSCEIT and claims that the test is not a true reflection of a person’s EI, but rather, their ability to recognize shared “emotional perceptions” (Maul, 2012, p. 400).
Mayer, Salovey, and Caruso, the creators of the MSCEIT test, responded to Maul’s concerns in 2012. They say, “the scoring system is adequate” (Mayer, Salovey, Caruso, 2012, p. 404) because the items of the test are based on previously developed theories that are sound (Mayer et al., 2012). They
feel that their theoretical approach to item formation is knowledgeable, and should, therefore, be viewed as credible.
As stated earlier, it is claimed that scores on the MSCEIT test misreports individuals with average or high emotional intelligence, meaning that they do not accurately differentiate the two (Fiori et al., 2014). This is a result of the test items not having enough gradation to effectively categorize low EI individuals versus average to high EI individuals. The result is that average EI individuals often get grouped together with high EI individuals and vice versa. The reliabilities approximated for the MSCEIT are less than favorable (Maul, 2012). Maul furthers this argument when he states that, “a respondent would have to get a score of higher than 116 or lower than 84 to be statistically significant (p < .05) above or below average” (Maul, 2012, p. 398). In addition, expert consensus was found to be very similar to “general consensus” (Fiori et al., 2011, p.333) scores, meaning that “emotion experts” (Fiori et al., 2011, p. 333) answered the items of the test similarly to the lay population (Fiori et al., 2011). This, again, points to the misrepresentation of low, average and high EI individuals. It would be as if highly intelligent individuals received similar scores on an IQ test as those of average intelligence (Fiori et al., 2011). It is possible that the items on the MSCEIT test are simply too easy and, therefore, it is not difficult to determine the answer that is expected to be correct.
Chapter Three
Research Methodology
For my research, I will look at various emotional intelligence (EI) tests and their possible relevance to the EI construct. I’m planning to look for possible correlations between people who are trying to work on their emotional intelligence and those people’s test scores over a three-year period, as well as their mean test results. They will be required to answer a survey before taking two different EI tests, one abilities-based EI test and one trait-based EI test, since these are the two main types of tests that have emerged in the literature. The goal is to find out which test better reflects the possible growth of EI in individuals who are actively working to improve their EI. I would use probability sampling - simple random sampling for my research. I would invite the first 100 respondents to an ad placed at my local library to complete the survey, as well as the two tests - an ability-based test, called the MSCEIT Emotional Intelligence Test, as well as a trait-based test, called the TEIQue Emotional Intelligence Test. This would give me a sampling frame with which to work. Next, I would proceed to ask those individuals to participate in a longitudinal study, repeated measures design, where every year for the next 3 years I would re-test them using the same survey and the same two tests. The subjects’ test scores would be continuous, as they are measured and can land anywhere within a results spectrum. The research would have quantitative data, as it would be looking at correlations between variables and qualitative data, in that it would look at human emotion as it relates to outcomes on tests.
I would obtain expressed written permission from the creators of the TEIQue test, as well as the MSCEIT test, before administering the tests. My mode would be to use a rented space, like a conference room at my local library, and set it up where respondents could sit at a desk and complete the survey and the two tests. Complete confidentiality would be guaranteed to respondents in writing and I would not share their identities with anyone.
Prior to administering the preexisting TEIQue emotional intelligence trait-based test and the MSCEIT emotional intelligence abilities-based test, I would explain to respondents, in a clearly separated and designated section, that there is a precursory survey that needs to be answered, preceding the test. One of the survey questions would ask whether or not respondents have actively tried to improve their emotional intelligence over the past year through workshops, therapy, self-help exercises, etc. I would then try to determine whether a correlation exists on two separate accounts. I would determine whether a correlation exists between those who have actively tried to improve their emotional intelligence and their associated scores on the MSCEIT test and those who have actively tried to improve their emotional intelligence and their associated scores on the TEIQue test. So, two different possible correlations would be looked at. If a respondent cares enough to have made an active effort to improve their EI, then testing measures should, likely, reflect said effort. If the TEIQue test reflects a more positive correlation between active effort and scores than the MSCEIT test, then it gives positive promotion to the idea that trait-based EI testing is possibly a more accurate reflection of emotional intelligence and could be a better alternative in measuring EI than abilities-based EI testing.
A potential issue in the experiment could be a content issue, where the respondents would not have a clear understanding of the concept of emotional intelligence. To curb this issue, it would be essential for me to provide respondents with the two definitions of emotional intelligence that were developed by each of the creators of the two tests.
Suggestion of Possible Findings
It is my belief that the standardized scoring method of the MSCEIT test is flawed and not nuanced enough to accurately reflect an individual’s emotional intelligence. I also believe that emotional intelligence is a construct that is always in flux, with life’s events effecting one’s emotional state, and, therefore, their emotional outlook and perspectives at a given time. For example, if a soldier is afflicted with Post Traumatic Stress Disorder (PTSD) after combat, he or she is likely to, for a time, have a more difficult time managing their emotions, as a result of panic attacks, etc., when compared to a person who has never experienced the disorder. Said person may score low on the MSEIT test as a result of answering ‘wrongly’ to questions surrounding emotion management. This, however, does not seem to be an accurate reflection of the person’s EI, as said person may not necessarily be of low emotional intelligence, but simply have a temporarily different outlook than what the MSCEIT would deem to be ‘correct’. With this in mind, I do not believe that tests that measure the emotional intelligence of a person should have right and wrong answers, as in the MSCEIT test, but rather categories of self-assessment that score different dimensions of a person’s emotionality, such as empathy, social awareness, and happiness, as on the TEIQue trait-based EI test. I feel that this self-reflection gives the respondent something to work with, something to improve upon. In summation, I predict that my research will show greater growth of EI and a stronger positive correlation on the TEIQue test between the variables of active effort to improve one’s EI and one’s EI score, as I believe that trait-based tests have greater sensitivities to individual changes within persons, and are, therefore, more accurate measures of emotional intelligence.
Chapter Four
Discussion and Conclusion
Discussion
This investigation looked at whether abilities-based emotional intelligence testing or trait-based emotional intelligence testing is the best practice. I hypothesized that trait-based EI testing will be better suited to uncovering the emotional intelligence of an individual. The research findings indicated trait-based EI testing is, in fact, the better measurement in assessing emotional intelligence. Emotional intelligence is a vast field of scientific inquiry and in order to properly investigate the field, instruments for assessment could possibly be very useful. The subject of testing emotional intelligence is split between two schools of thought. The first ideology is that assessment should be steeped in measuring the abilities of an individual, or the capacity of emotion assessment and regulation that one was born possessing. The second ideology comes from the idea that emotional intelligence is more of a competence or disposition. It posits that EI is akin to a trait and does not possess an uttermost capacity.
Conclusion
The problem with abilities-based EI testing lies in the fact that individual encounters with emotion vary wildly from person to person. These emotions cannot be synthesized to cooperate with measurements, similar to IQ tests, that evaluate a person’s maximum achievement potential (Petrides, 2011). Another problem with abilities-based EI testing is that what one knows does not always manifest as an ability (Mikolajczak et al., 2014). An individual may simply know what is and isn’t acceptable in society and, therefore, know what answer will be viewed as being correct, without the ability to actually apply that knowledge in his or her life. Some even go so far as to claim that trait-based EI testing and abilities-based EI testing are separate concepts completely, rather than similar concepts testing the same construct (O’Connor, Little, 2003). Depending upon an individual’s personal emotional experiences and personality, answers given on an abilities-based test may not conform to the standardized answer which the test author’s sample population has deemed to be ‘correct’.
In addition, the scoring method used on the MSCEIT test is less than desirable and “has drawn considerable controversy” (Maul, 2012, p. 396). With regard to the consensus scoring method of the MSCEIT, it has been noted that “nothing inherent to the logic of consensus-based scoring of emotional stimuli indicates either that consensus determines the correctness of answers, or that consensus will reliably discover correct answers” (Maul, 2012, p. 397). Perhaps items are too easy to figure out, but it seems that they are not sensitive enough to differentiate the varying degrees of emotional intelligence, especially in the case of average and high EI scorers.
Furthermore, abilities-based EI testing, with minor exceptions, relies almost entirely on one test, the MSCEIT test. The Situational Test of Emotion Management (STEM) (2008) was an effort to create another abilities-based EI test. However, reliability tests are not very promising for the measurement, and its items are too similar to the MSCEIT test. It is, therefore, not a viable substitute for the MSCEIT test (Fiori et al., 2011).
Emotions are inherently individualistic and vary greatly from one individual to the next. Trait-based EI testing understands this and accounts for personality of individuals in its measures. In other words, “trait EI theory provides an operationalization that recognizes the inherent subjectivity of emotional experience” (Petrides, 2011, p.660).
As a result of the use of consensus scoring on the only major abilities-based test, the MSCEIT, as well as the impossibility to synthesize personal emotions in order to evaluate one’s maximum emotional intelligence, as the MSCEIT requires, I find abilities-based EI testing to be flawed and an improper measurement in researching an individual’s emotional intelligence.
For the future, I would suggest further studies be done on possible alternative ways to score the MSCEIT without relying on consensus scoring. In addition, perhaps the theories behind trait-based EI testing could be researched and developed further, in order to build on what is a, seemingly, promising foundation. Also, “reaction time and/or speed of processing” (Fiori et al., 2011, p. 333) by an individual answering items on an EI test could be considered when developing new scoring methods for EI tests.
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Appendix A
In my proposal, I would be administering two preexisting tests, the MSCEIT Emotional Intelligence Test and the TEIQue Emotional Intelligence Test, on three different occasions. I would be sure to obtain permission to use each test from its developers, prior to administering it.
In a clearly separated and designated section, I would preface the tests with my questions. I would explain that there are some precursory questions that need to be answered, preceding the MSCEIT test and the TEIQue test. I would then try to find two different correlations. One between these questions and the results of the MSCEIT test and another between these questions and the TEIQue test.
The preliminary survey questions would be as follows:
__Strongly Agree __Agree __Neutral __Disagree __Strongly Disagree
__Strongly Agree __Agree __Neutral __Disagree __Strongly Disagree
__Strongly Agree __Agree __Neutral __Disagree __Strongly Disagree
__Strongly Agree __Agree __Neutral __Disagree __Strongly Disagree