Evaluating the psychometric properties of the MindMi TM Psychological Assessment System

Transcription

1 Evaluating the psychometic popeties of the MindMi TM Psychological Assessment System Magda Moldovan*, MA, Dumitu Gigoe*, PhD * Psychometic Systems S.A. 1. ABSTRACT Reseach pupose: This study aims at testing the psychometic popeties of the MindMi System and calibating it fo Romanian population. The system contains seven psychological epots based on psychophysiological measuements. The system associates SPL (skin potential levels) and SPR (skin potential esponses) with a set of intemediate paametes. By advanced mathematical modeling, behavioal functions ae established, leading to identification of a psychological pofile. Subjects and data collection methods: Testing a sample of 625 people fom 4 counties in Romania allowed the investigation of esults and the testing of psychometic popeties in Romanian population. Stability ove time was tested in a sub-sample of 178 subjects that wee scanned with the MindMi TM System about two weeks apat. The data was collected with a device that scans the palm suface of the hands fo 5 minutes. Data analysis pocedues: The statistical analysis was pefomed with PASW Statistics 18 and investigated desciptive data (distibution, means, standad deviations, pecentiles, fequency in population), intenal consistency (Conbach s Alpha) and test-etest eliability (Peason Coelation, paied samples t test, Cohen s Kappa coefficient). Results: Conbach s Alpha coefficient anged between The test-etest coelation values wee significant fo each measued concept, anging fom = 0.27 to 0.58, p < Paied samples t test didn t eveal significant diffeences between the testing times at any of the measued concepts. Cohen s Kappa coefficient evealed a significant ovelap between the two tests, anging fom K = 0.24 to 0.35, p < INTRODUCTION Human pesonality has been continuously investigated as a configuation of taits that eflect an individual s way of acting, feeling, thinking and adjusting to the envionment. The continuous pocess of undestanding human natue and nutue is vital fo pedicting an individual s way of acting in specific contexts and in diffeent life aeas such as wok field, social inteactions, family functioning o attitudes towads health (Gigoe & Moldovan, 2015). As we ve shown in pevious aticles on this topic (Gigoe & Moldovan, 2015), pychological eseach is making pogess in linking pesonality taits with specific behavios and actions (Eysenck, 1991; Gay, 1987, 1991; Watson & Clak, 1992) looking fo individual diffeences in bain anatomy and physiology, in bodily functions and self-egulation pocesses, in sensation and peception, in infomation pocessing and thinking styles, in behavio and emotion egulation, intepesonal inteaction and so on (Bandua, 2006, Block, 2002). Using biological and physiological data (Nebylitsyn & Gay, 1972; Fowles, 1980; Cide, 2008; Canli, 2006), the connection between human pesonality taits and behavio is now investigated though individual diffeences in bain functioning (Cave & White, 1994). A cybenetic model of global pesonality taits (Van Egeen, 2009; Wiene, 1948) is also examining how specific pesonality taits exet contol ove human behavio. These taits ae seen as self-egulatoy contols that undelie behavio pattens athe than manifest behavio itself (Van Egeen, 2009; Cide, 2008). It seems that human beings mentally incopoate popensities of action into pesonality taits (Robins, John, Caspi, Moffit & Stouthame-Loeba, 1996; Schneila, 1959; Cave, 2005). These taits encode all the actions and contols necessay fo a peson to achieve a goal. 1

2 Vaious psychological taits have been investigated with psychophysiological measues (Cacioppo & Tassinay, 1990), including electodemal activity. Placing electodes on the skin suface, especially in the palma suface of the hand, is an ideal way to monito the autonomic nevous system (Öhman, Hamm & Hugdahl, 2000) though the sweat glands, which ae contolled by sympathetic neve activity. The electodemal esponse is seen as a peipheal manifestation of neual activation (Cide, 2008), entained by demands on cognitive capacity (Muay & Kochanska, 2002). Although eseach in the field has made significant pogess in explaining how pesonality and individual diffeences impact a peson s behavio and adjustment to specific contexts, measuing these aspects of pesonality is fa moe complicated. The invento of MindMi TM System, Dumitu Gigoe (Gigoe, 1998, 2013; Gigoe, Paaschiv, Ipate & Chivulescu, 2013), has expeimentally demonstated that all these psychological taits and indicatos can be measued though a non-invasive hand scanning device, using the active pinciple of sweat gland activity as a peipheal manifestation of neual activation (Gigoe, 2010; Gigoe, Ipate, Caiovan & Mateescu, 2013; Gigoe, Costache, Ştefan & Paaschiv, 2014). The MindMi TM System measues biopotentials fom the skin suface (skin potential esponse and skin potential level) though a dual hand scanne with monopola electodes. Following a continuous pocess of modelling, developing and shaping the initial pototype, based on testing esults (Talpoş, Sanislav & Gigoe, 2015; Gigoe & Petescu, 2015; Gigoe, 2013), the system gathes all the necessay data in 5 minutes. Afte the scan, the system uses the collected data to acquie psychological infomation though an innovative algoithmic pocedue. The algoithm combines multiple vaiables of key elevance fo thei coesponding pesonality taits (e.g. the amplitude, the lability of the electodemal esponse, the level of cotical aousal, and othes). This coe set of vaiables goes though a cybenetic modelling pocess, esulting in a numeous set of psychological indicatos that eflect cognitive, emotional and social abilities, but also specific aptitudes and tendencies. The psychological indicatos obtained ae futhe used to ceate extensive psychological epots that compise infomation about an examinee s pesonality, cognitive intelligence, emotional intelligence, and intepesonal o goup compatibility (Zahaia, Gigoe & Moldovan, 2017). MindMi TM System povides scoes fo specific psychological indicatos (e.g. ceativity), the statistical intepetation based on five intevals (vey low, low, modeate, high, vey high) elated to pecentages found in the geneal population below o above cetain scoes (pecentiles), and the conceptual explanation of these indicatos (Gigoe & Moldovan, 2015). The system contains seven psychological epots based on psychophysiological measuements. MindMi TM epots do not teat o diagnose, and the infomation obtained with the system must be integated with othe souces (e.g. inteview, othe psychological tests, pactical activities o assessment centes), and should be intepeted in the context of each specific assessment, depending on the assessment goal and domain of use. The system can be applied in individual o oganizational settings, without specific stimuli o tasks duing the assessment. The esults ae independent on the quality of communication between the examinee and the system use, and the only equiement is a coect positioning and maintainance of the hands in the ecommended position on the scanne, until the scan is complete (~5mins). This method can be applied only afte the examinee signs an infomed consent fom. Moe ecommandations and pecautions fo use ae descibed in the Use s Manual and Technical Manual of the instument. 3. RESEARCH PURPOSE This study aims at testing the psychometic popeties of the MindMi System and calibating it fo Romanian population. The system contains seven psychological epots based on psychophysiological measuements. The system associates SPL (skin potential levels) and SPR (skin potential esponses) with a set of intemediate 2

3 paametes. By advanced mathematical modeling, behavioal functions ae established, leading to identification of a psychological pofile. The study investigated desciptive data, intenal consistency and test-etest eliability of the esults. 4. SAMPLE AND DATA COLLECTION METHODS We collected a total of 1003 data sets (scans), fom 625 people living in Romania. The sample (Table 1) included subjects fom 4 counties in Romania (Cluj, Mueş, Iaşi, Bucueşti), aged between 6 and 73 yeas old (Figue 1). The paticipants mean age was 34.7 yeas (SD = 13.6) and 56.2% of the sample was female. Data was collected using a hand scanning device, with ~5 minutes/scan. Paticipants completed an infomed consent fom befoe the scan. Intenal consistency, data distibution and pecentiles fo the quantitative vaiables wee calculated on the total sample. The stability ove time was investigated on a sub-sample (178 subjects), that wee scanned twice, about two weeks apat. Table 1. Sample data % Mean age SD N (data sets) N (pesons) Total F M Fig. 1. Age distibution Age 5. DATA ANALYSIS PROCEDURES The online platfom can geneate 7 types of epots based on one scan, that povide esults fo: 62 Psychological Indicatos, Cognitive Intelligence Potential, Emotional Intelligence Potential, Talent, Pesonality, Goup Compatibility and Intepesonal Compatibility. The esults ae in the fom of quantitative vaiables (62 Psychological concepts measued in scoes, 8 Cognitive Intelligence scoes, 6 Emotional Intelligence scoes, 11 Talent scoes, pecentage fo fou tempeaments and two scoes epesenting ceebal fequencies in the Pesonality Repot) and categoical vaiables (assignation of the most active pesonality type at the time of testing, fom 16 available, and anking the othe 15 types in a descending ode; fou categoical vaiables with two levels each - intovet-extavet, sensoy-intuitive, eflexive-affective, peceptive-oganized, expessly identified in the Intepesonal Compatibility, and hidden but accounted fo in the Goup Compatibility. Thee ae also sections of desciptive text based on hidden quantitative data (back-end scoes fo the Undestanding, Oganization, Decision and Netwoking sections in the Intepesonal Compatibility, that decide when and 3

4 what text desciption is appopiate fo a specific pai). To facilitate the collection of all elevant data in one database fomat, a Maco Excel tool was used to expot the final epot esults diectly fom the aw data stings (aw scan file), into an Excel file. The statistical analysis was pefomed with PASW Statistics 18 and investigated desciptive data (distibution, means, standad deviations, pecentiles, fequency in population), intenal consistency (Conbach s Alpha) and test-etest eliability (Peason Coelation, paied samples t test, Cohen s Kappa coefficient). 6. RESULTS 6.1. Nomative data In the case of epots with quantitative vaiables (Talent epot, Potential of Cognitive and Emotional Intelligence, the 62 Psychological Indicatos), the data obtained on the peviously descibed sample led to intepeting data in five statistically calculated intevals (based on pecentiles): vey low, low, modeate, high and vey high, depending on the pecentages of the sample situated below o above a cetain scoe. A pecentile is a cetain pecentage of a set of data and is used to obseve how many of a given set of data fall within a cetain pecentage ange. The MindMi TM system automatically fits scoes in the coesponding statistical inteval (vey low, low, modeate, high o vey high), visually epesenting the scoe on the scale and positioning it in one of the five intevals (Figue 2). Fig. 2. Potential of Cognitive Intelligence: Pactical Intelligence - Example of Intepetation Fig. 3. Intevals and pecentiles used to intepet MindMi TM scoes Adapted fom mathbitsnotebook.com The pecentile noms wee built on five nomalized intevals, with the following pecentages: 6,7%, 24,2%, 38,2%, 24,2%, and 6,7% (Fig. 3,4). A scoe in the vey low inteval is intepeted as lowe than 6,7% of the population. A scoe in the low inteval is intepeted as highe than 6,7% of the population. A scoe in the 4

5 modeate inteval is intepeted as highe than 30,9% of the population (cumulative pecent). A scoe in the high inteval is intepeted as highe than 69,1% of the population. And a scoe in the vey high inteval is intepeted as highe than 93,3% of the population. The scoes and the intevals shown fo each psychological indicato ae based on the esults obtained in the nomative sample. A few examples ae shown in Tables 2,3,4,5. Table 2. Examples of Scoe intepetation: Talent Intevals Aptitudinal Potential Ambition Oiginality Table 3. Examples of Scoe intepetation: Cognitive Intelligence Potential Total Pactical Mathematical Intevals Cognitive Intelligence Intelligence Intelligence Fig. 4. Intevals and pecentages in population Table 4. Examples of Scoe intepetation: Emotional Intelligence Potential Total Intospective Relational Intevals Emotional Emotional Emotional Intelligence Intelligence Intelligence Vey low Vey low Vey low Low Low Low Modeate Modeate Modeate High High High Vey high Vey high Vey high Table 5. Examples of Scoe intepetation: 62 Psychological Indicatos Visualspatial Intevals Intevals Assetiveness Authoity Confomity Linguistic Mathematical Adaptation Emotional Impulse Intevals ability ability to stess comfot contol ability Vey low Vey low Vey low Low Low Low Modeate Modeate Modeate High High High Vey high Vey high Vey high In case of desciptive o categoical esults (Pesonality, Intepesonal Compatibility), the data obtained on the peviously descibed sample led to the distibutions pesented in Tables 6,7,8,9. Fequency Pecent Fequency Pecent EXTRAVERT ANALYST INTROVERT RESEARCHER Total COLLABORATOR Table 6. Pesonality: Extavet-Intovet distibution Fequency Pecent CHOLERIC PHLEGMATIC MELANCHOLIC SANGUINE Total Table 7. Pesonality: Main tempeament distibution COUNSELOR DIPLOMAT PERFORMER EXPERT EXPLORER INSPECTOR MANAGER POLITICIAN PRACTITIONER TEACHER PROMOTER SPECIALIST VISIONARY TOTAL Table 8. Pesonality type distibution Fequency Pecent EXTRAVERT INTROVERT Total Fequency Pecent INTUITIVE SENSORY Total Fequency Pecent AFFECTIVE REFLEXIVE Total Fequency Pecent ORGANIZED PERCEPTIVE Total Table 9. Intepesonal Compatibility: distibution of categoical vaiables 5

6 6.2. Reliability Intenal Consistency We calculated Conbach s Alpha coefficient fo the Talent indicatos (0.97), Cognitive Intelligence Potential (0.99) and Emotional Intelligence Potential (0.99), whee the epot contains a total scoe with sub-components. All Peason coelations between sub-components and the total scoe wee positive and significant (p <0.001), with values between 0.62 and The means and standad deviations fo each scoe, and the coelation of sub-scoes with total scoes ae pesented in Tables 10, 11, 12. Fo the 62 Psychological Indicatos, the Conbach s Alpha calculated fo the sub-categoies (cognitive, emotional, social and netwoking abilities, and othe abilities and aptitudes) was between 0.93 and Table 10. Talent m SD Aptitudinal Potential (total scoe) Alet Attention *0.93 Ambition *0.91 Stess-Adapting Abilities *0.94 Oiginality *0.93 Cuiosity and Inteest *0.89 Diligence *0.69 Reasoning *0.95 Self-confidence *0.86 Upightness *0.62 Leadeship *0.92 = Peason Coelation between sub-indicatos and total Aptitudinal Potential; *p<0.001 Table 11. Cognitive Intelligence Potential m SD Total Cognitive Intelligence Geneal Intelligence *0.97 Visual-Spatial Intelligence *0.96 Pactical Intelligence *0.95 Vebal Intelligence *0.97 Mathematical Intelligence *0.96 Intuitive Intelligence *0.98 Reasoning Claity *0.99 = Peason Coelation between sub-indicatos and total Cognitive Intelligence; *p<0.001 Table 12. Emotional Intelligence Potential m SD Total Emotional Intelligence Intospective Emotional Intelligence *0.97 Relational Emotional Intelligence *0.97 Self-image; Inne Comfot *0.99 Integative Adaptability *0.94 Stess esistance and impulsivity contol *0.99 = Peason Coelation between sub-indicatos and total Emotional Intelligence; *p<0.001 In the case of Pesonality and Intepesonal Compatibility Repots, Peason s coelations wee calculated between the pecentages of the fou tempeaments, between the pecentages of tempeaments and the extavet-intovet categoy, and between the ceebal fequencies displayed on both hemisphees, espectively. Significant positive coelations wee found between choleic and sanguine tempeament, and phlegmatic and melancholic tempeament ( anging fom 0.45 to 0.56, p <0.001). Choleic and sanguine tempeaments negatively and significantly coelated with phlegmatic and melancholic tempeaments ( anging fom to -0.82, p <0.001). Peason s coelation coefficients ae pesented in Table 13. Table 13. Peason Coelation between tempeaments Choleic Sanguine Phlegmatic Melancholic Choleic 0.56 * * * Sanguine * * Phlegmatic 0.45 * Melancholic *p<0.001 The 'intovet' and 'extavet' labels of the categoical vaiable shown in the Pesonality Repot coelated significantly with all fou tempeaments. Significant positive coelations wee found between the extavet label and choleic and sanguine tempeament, and also between the intovet label and phlegmatic and melancholic tempeament. 6

7 Table 14. Peason s Coelation between tempeaments and extavet-intovet label Choleic Sanguine Phlegmatic Melancholic Extavet 0.88 * 0.85 * * * Intovet * * 0.87 * 0.79 * *p<0.001 Significant negative coelations wee found between the extavet label and phlegmatic and melancholic tempeament, and also between the intovet label and choleic and sanguine tempeament. Peason s coelation coefficients ae pesented in Table 14. Numeic values of ceebal fequency in the left bain hemisphee significantly and positively coelated numeic values of ceebal fequency in the ight bain hemisphee ( = 0.77, p <0.001) Test-etest eliability Stability ove time was tested on a sub-sample of 178 subjects in Tâgu Mueş, which wee scanned with the MindMi System at about two weeks apat. Fo quantitative vaiables (Talent indicatos, Cognitive Intelligence Potential, Emotional Intelligence Potential, the 62 Psychological Indicatos), we calculated Peason coelations between T1 and T2. Mean diffeences between the two testing times (paied samples t test) wee also calculated. Thee wee no significant diffeences between the two testing times fo any of the measued concepts. The test-etest coelations (Tables 15, 16) wee positive and significant (p <0.001) fo each measued concept and anged between 0.29 and Table 15. Test-etest coelations Talent Cognitive Intelligence Potential Emotional Intelligence Potential Aptitudinal Potential *0.52 Total Cognitive Intelligence *0.52 Total Emotional Intelligence *0.56 Alet Attention *0.52 Geneal Intelligence *0.50 Intospective Emotional Intelligence *0.57 Ambition *0.38 Visual-Spatial Intelligence *0.48 Relational Emotional Intelligence *0.57 Stess-Adapting Abilities *0.48 Pactical Intelligence *0.42 Self-image; Inne Comfot *0.56 Oiginality *0.38 Vebal Intelligence *0.50 Integative Adaptability *0.48 Cuiosity and Inteest *0.46 Mathematical Intelligence *0.58 Stess esistance; impulsivity contol *0.59 Diligence *0.47 Intuitive Intelligence *0.51 Reasoning *0.50 Reasoning Claity *0.52 Self-confidence *0.44 Upightness *0.55 Leadeship *0.40 = Peason s Coelation between T1 and T2, N=178, *p<0.001 Table 16. Test-etest coelations, 62 Psychological Indicatos Cognitive abilities Emotional abilities Social and netwoking abilities Linguistic ability *0.44 Adaptation to stess *0.48 Oatoical ability *0.47 Visual-spatial ability *0.44 Emotional comfot *0.54 Assetiveness *0.50 Mathematical ability *0.47 Impulse contol *0.27 Authoity *0.53 Mental agility *0.50 Emotionality *0.51 Confomity *0.29 Attention *0.52 Empathy *0.40 Intepesonal tust *0.42 Concentation capacity *0.49 Impulsivity *0.32 Leadeship *0.40 Claity of thought *0.43 Relaxation *0.51 Respect fo othes *0.44 Decision-making *0.49 Emotional stability *0.45 Sociability *0.56 Cognitive flexibility *0.52 Sense of belonging to a goup *0.39 Lucidity *0.52 Toleance to opposing views *0.49 Memoy *0.43 =Peason s Coelation between T1 and T2, N=178, *p<

8 Othe abilities and aptitudes Othe abilities and aptitudes Othe abilities and aptitudes Adaptability *0.46 Thift *0.42 Peseveance *0.46 Self-assetion *0.35 Couage *0.46 Tustwothiness *0.55 Selflessness *0.57 Cuiosity *0.46 Cautiousness *0.42 Ambition *0.38 Dynamism *0.39 Patience *0.49 Righteous attitude *0.57 Geneosity *0.56 Realism *0.42 Self-pesevation *0.44 Diligence *0.47 Responsibility *0.52 Self-contol *0.50 Ego Indicato *0.46 Honesty *0.53 Self-confidence *0.44 Intuition *0.47 Foce of chaacte *0.50 Autonomy *0.48 Inventiveness *0.36 Vigilance *0.50 Mental calmness *0.57 Objectivity *0.42 Vitality *0.34 Ceativity *0.38 Optimism *0.52 Willpowe *0.42 = Peason s Coelation between T1 and T2, *p<0.001 Fo Pesonality and Intepesonal Compatibility Repots, Peason coelations wee calculated between T1 and T2 in the case of quantitative vaiables, the mean diffeences between the two tests (pai samples t test) wee investigated and, Cohen's Kappa coefficient was calculated in the case of categoical vaiables. Regading the Pesonality Repot (Table 17), the test-etest coelations wee positive and significant fo the 'Extavet' and 'Intovet' categoies espectively ( = 0.35, p <0.001). The test-etest coelations fo numeical scoes coesponding to the extavet - intovet categoy wee positive and significant ( = 0.38, p <0.001). Cohen's Kappa coefficient fo the extavet-intovet categoy evealed a significant consensus between the two tests (K = 0.35, p <0.001). Table 17. Test-etest coelations: Extavet-Intovet Label Numeical values Extavet *0.35 Extavet *0.38 Intovet *0.35 Intovet *0.38 = Peason coelation between T1 and T2, N=178, *p<0.001 The test-etest coelations wee positive and significant (Table 18) fo the pecentages of each tempeament displayed in the tempeamental configuation ( = , p <0.001). The paied samples t test found no significant diffeences between T1 and T2 fo the Choleic, Sanguine, Phlegmatic and Melancholic tempeaments (the esulting pecentages). Fo the main tempeament, Cohen's Kappa coefficient evealed a significant consensus between the two testing times (displaying the same tempeament at T1 and T2 on the fist position) (K = 0.28, p <0.001). Fo the seconday tempeament (the second one displayed in the hieachy), Cohen's Kappa coefficient evealed a significant consensus between the two testing times (K = 0.24, p <0.001). Positive and significant test-etest coelations wee also found (Table 19) fo the bain fequencies (numeical values) on each hemisphee ( = , p <0.001). Table 18. Test-etest coelations: Tempeament Choleic *0.33 Sanguine *0.28 Phlegmatic *0.26 Melancholic *0.32 = Peason coelation between T1 and T2, N=178, *p<0.001 Table 19. Test-etest coelations: Ceebal fequencies Left ceebal fequency *0.57 Right ceebal fequency *0.45 = Peason coelation between T1 and T2, N=178, *p<

9 Regading the Intepesonal Compatibility Repot, positive and significant test-etest coelations wee found fo the numeical values coesponding to the "Undestanding", "Oganization", "Decision" and "Netwoking" sections ( = , p <0.001). These numeical values ae not actually displayed in the epot but ae computed in the algoithm, and based on them, text vesions ae displayed o hidden in the espective categoies (Table 20). Table 20. Test-etest coelations: Intepesonal Compatibility Section Undestanding *0.56 Oganization *0.52 Decision *0.54 Netwoking *0.25 Positive and significant test-etest coelations have been found fo the numeical values coesponding to extavet-intovet, sensoy-intuitive, eflexiveaffective, and peceptive-oganized categoies ( anging fom 0.38 to 0.58, p <0.001). = Peason coelation between T1 and T2, N=178, *p<0.001 These numeic values ae not displayed in the epot but ae computed in the algoithm, and one label o anothe is displayed based on them. The Peason coelation coefficients ae shown in Table 21. Table 21. Test-etest coelations: Intepesonal Compatibility EXTRAVERT *0.38 AFFECTIVE *0.57 INTROVERT *0.38 REFLEXIVE *0.52 INTUITIVE *0.58 ORGANIZED *0.51 SENSORY *0.56 PERCEPTIVE *0.49 = Peason coelation between T1 and T2, N=178, *p<0.001 The Cohen's Kappa coefficient fo categoical vaiables was also calculated to detemine the consensus (ovelap) between the two testing times on the extavet-intovet, sensoy-intuitive, eflexiveaffective, oganized-peceptive bimodal categoies. The consensus between T1 and T2 efes to displaying the same mode in both tests (eg displaying the 'Extavet' mode at T1 and T2, espectively displaying the 'Intoveted' mode at T1 and T2). Cohen's Kappa coefficient evealed a significant consensus between the two testing times and anged between K = 0.27 and K = 0.35, p < Validity In a pilot study based on 20 subjects, data collected with MindMi scanning was compaed with data collected simultaneously with the EEG NeuoSky Headset. The aw data sets collected with the two instuments (electodemal potential vs. EEG) wee pocessed with the algoithm used by the MindMi system, to obtain the same set of final indicatos. The esults wee calculated and expoted to a database using an Excel maco file, and the esults of the two methods wee then statistically analyzed using PASW Statistics 18. Peason coelations between the MindMi TM system and NeuoSky Headset wee calculated fo quantitative vaiables, analyzing the esults collected with the two diffeent instuments, but pocessed with the same algoithm. Regading the Talent epot, positive and significant coelations between the two instuments wee found fo each indicato, with values anging fom 0.57 to 0.96 (p <0.01). Regading the Cognitive Intelligence Potential, positive and significant coelations wee found fo each indicato, with values anging fom 0.73 to 0.88 (p <0.001). Regading the Emotional Intelligence Potential, positive and significant coelations wee found fo each indicato, with values anging fom 0.66 to 0.90 (p<0.01). Regading the 62 Psychological indicatos, positive and significant coelations wee found fo 60 indicatos among the 62, with values anging fom 0.45 to 0.97 (p<0.05). These peliminay data equie eplication on a epesentative sample. 9

10 6.4. Gende diffeences Afte calculating the mean values of male and female gende scoes (independent samples t test), significant gende diffeences wee found in the 62 Psychological Indicatos (44 out of 62 indicatos, with mean diffeence anging fom 0.11 to 1.65), in the Talent indicatos (6 out of 11 indicatos, with mean diffeence anging fom 0.10 to 0.71), Cognitive Intelligence Potential (8 indicatos, with mean diffeence anging fom 1.66 to 2.64), and Emotional Intelligence Potential (6 indicatos, with mean diffeence anging fom 2.28 to 2.91). 7. SUMMARY AND CONCLUSIONS This study aimed to test the psychometic popeties of the MindMi System and to calibate it on the Romanian population. The system contains seven psychological epots based on psychophysiological measuements. The statistical analysis investigated desciptive data (distibution, means, standad deviations, pecentiles, fequency in population), eliability measues such as intenal consistency (Conbach s Alpha) and test-etest eliability (Peason coelation, paied samples t test, Cohen's Kappa). In the case of quantitative vaiables (Talent indicatos, Cognitive Intelligence Potential and Emotional Intelligence Potential, the 62 Psychological Indicatos), the data obtained on ou sample led to the intepetation of the scoes based on five calculated intevals (based on pecentiles): vey low, low, modeate, high and vey high, depending on the pecentage of the population that is below o above a cetain scoe. Pecentiles wee calculated on five nomalized intevals, with the following pecentages: 6.7%, 24.2%, 38.2%, 24.2% and 6.7%. Reliability has been investigated, testing ou instument fo intenal consistency and test-etest eliability. Conbach s Alpha coefficient anged between Positive and significant Peason coelations wee found between the two testing times (~two weeks apat) fo each measued concept, anging fom = 0.27 to = 0.58, p < The paied samples t test did not eveal any significant diffeences between the two testing times, fo any of the measued concepts. Cohen's Kappa coefficient evealed a significant ovelap between the two testing times and had values between K = 0.24 and K = 0.35, p < Consideing these esults, it is vey impotant to intepet the scoes and esults based on data obtained in a lage sample, that can be genealized to a lage scale in the geneal population. This way, we can undestand the natue of the esults offeed by this system, how fequent o divese some scoes ae and how this eflects on the esults intepetation. Futue diections will continue investigating aspects of validity, compaing the system with othe elevant instuments, and extending the simultaneous testing with NeuoSky EEG Headset, so we can have a elevant intepetation of esults on a epesentative sample. REFERENCES 1. Bandua, A. (2006). Towad a psychology of human agency. Pespectives on Psychological Science, 1, Block, J. (2002). Pesonality as an affect-pocessing system. Mahwah, NJ: Lawence Elbaum Associates. 3. Cacioppo, J.T., & Tassinay, L.G. (1990). Infeing Psychological Significance fom Physiological Signals. Ameican Psychological Association, 45(I), Canli, T. (2006), Biology of pesonality and individual diffeences, Guilfod Pess,

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