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Journal articles on the topic 'Myers-Briggs Type Indicator'

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Published: 4 June 2021

Last updated: 31 July 2024

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1

PANAIT, Cristian, and Vasile BUCINSCHI. "MYERS-BRIGGS TYPE INDICATOR INFLUENCE IN TEAM BUILDINGS." Review of the Air Force Academy 16, no. 1 (August 1, 2018): 89–94. http://dx.doi.org/10.19062/1842-9238.2018.16.1.13.

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2

Dash, Edward F. "Myers-Briggs Type Indicator Debate." Journal of Counseling & Development 68, no. 3 (January 2, 1990): 344. http://dx.doi.org/10.1002/j.1556-6676.1990.tb01389.x.

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3

German, Michael, Shawn Zardouz, Mehdi Sina-Khadiv, Edward Wu, and Hamid Djalilian. "Otolaryngology Applicant Myers-Briggs Type Indicator." Otolaryngology–Head and Neck Surgery 143, no. 2_suppl (August 2010): P51. http://dx.doi.org/10.1016/j.otohns.2010.06.042.

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4

de Feber, Miesche. "De Myers Briggs Type Indicator in supervisie." Supervisie en Coaching 27, no. 1 (March 2010): 32–38. http://dx.doi.org/10.1007/bf03089393.

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5

Feber, Miesche. "De Myers Briggs Type Indicator in supervisie." Supervisie en coaching 2010, no. 1 (November 2010): 32–38. http://dx.doi.org/10.1007/s12492-010-0006-z.

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6

Logan, Glenn. "Myers-Briggs Type Indicator-Pro or Con?" Journal of Counseling & Development 68, no. 3 (January 2, 1990): 344. http://dx.doi.org/10.1002/j.1556-6676.1990.tb01390.x.

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7

Harasym, P. H., E. J. Leong, B. B. Juschka, G. E. Lucier, and F. L. Lorscheider. "Relationship between Myers-Briggs Type Indicator and Gregorc Style Delineator." Perceptual and Motor Skills 82, no. 3_suppl (June 1996): 1203–10. http://dx.doi.org/10.2466/pms.1996.82.3c.1203.

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The relationship between the Myers-Briggs Type Indicator and Gregorc Style Delineator, and achievement was examined by administering these instruments to 259 first-year nursing students enrolled in an introductory human anatomy and physiology course. A principal component factor analysis using a varimax rotation of the scores from the two psychometric instruments, achievement examinations, and an over-all grade point average indicated that each learning style from the Gregorc Style Delineator corresponds to certain traits on the Myers-Briggs Type Indicator. An individual who had a preference for the learning style of Concrete Sequential tended to have the traits of sensing and judging on the Myers-Briggs Type Indicator, while an individual who used the learning style of Concrete Random tended to have the traits of intuition and perceiving on the Myers-Briggs Type Indicator. One who had a preference for the learning style of Abstract Sequential tended to use the trait of thinking while another who used the learning style of Abstract Random tended to have the trait of feeling. The factor analysis also indicates no relationship of any scores of the traits on the Myers-Briggs Type Indicator or learning styles of the Gregore Style Delineator with the examination scores achieved in the human anatomy and physiology course or to the students' over-all grade point average. However, factor analysis indicates that the Myers-Briggs Type Indicator traits of Judging vs Perceiving collapsed into the Sensing vs Intuition scale, and that the Gregore Style Delineator consists of two bipolar scales that are different from those proposed by Gregorc.

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8

Pittenger, David J. "The Utility of the Myers-Briggs Type Indicator." Review of Educational Research 63, no. 4 (December 1993): 467–88. http://dx.doi.org/10.3102/00346543063004467.

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An evaluation of the Myers-Briggs Type Indicator is made using a “unified view” of test validity (e.g., Messick, 1981 ). The Myers-Briggs Type Indicator is an assessment of personality based on Jung’s theory of types. During the past decade, the test has received considerable attention and use in a variety of applied settings. The unified view of validation requires that validity be considered as an approach that requires many sources of corroboration. This procedure contrasts with previous procedures that tended to focus on single validation procedures (e.g., construct validation). A review of the available literature suggests that there is insufficient evidence to support the tenets of and claims about the utility of the test.

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Pittenger, David J. "Cautionary comments regarding the Myers-Briggs Type Indicator." Consulting Psychology Journal: Practice and Research 57, no. 3 (2005): 210–21. http://dx.doi.org/10.1037/1065-9293.57.3.210.

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10

Healy, Charles C., and Geoffrey A. Woodward. "The Myers-Briggs Type Indicator and Career Obstacles." Measurement and Evaluation in Counseling and Development 31, no. 2 (July 1, 1998): 74–85. http://dx.doi.org/10.1080/07481756.1998.12068954.

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11

COSTELLO, KEVIN. "The Myers-Briggs Type Indicator ??? A Management Tool." Nursing Management (Springhouse) 24, no. 5 (May 1993): 46???51. http://dx.doi.org/10.1097/00006247-199305000-00010.

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12

Boyle, Gregory J. "Myers-Briggs Type Indicator (MBTI): Some Psychometric Limitations." Australian Psychologist 30, no. 1 (March 1995): 71–74. http://dx.doi.org/10.1111/j.1742-9544.1995.tb01750.x.

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13

Sipps, Gary J., Ralph A. Alexander, and Larry Friedt. "Item Analysis of the Myers-Briggs Type Indicator." Educational and Psychological Measurement 45, no. 4 (December 1985): 789–96. http://dx.doi.org/10.1177/0013164485454009.

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14

Thompson, Bruce, and Gloria M. Borrello. "Construct Validity of the Myers-Briggs Type Indicator." Educational and Psychological Measurement 46, no. 3 (September 1986): 745–52. http://dx.doi.org/10.1177/0013164486463032.

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15

Janowsky, D., S. Morter, and L. Hong. "The myers briggs type indicator and psychiatric diagnosis." Biological Psychiatry 39, no. 7 (April 1996): 527. http://dx.doi.org/10.1016/0006-3223(96)84044-3.

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Brown, F. William, and Michael D. Reilly. "The Myers‐Briggs type indicator and transformational leadership." Journal of Management Development 28, no. 10 (October 23, 2009): 916–32. http://dx.doi.org/10.1108/02621710911000677.

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17

McCaulley, Mary H., and Charles R. Martin. "Career Assessment and the Myers-Briggs Type Indicator." Journal of Career Assessment 3, no. 2 (March 1995): 219–39. http://dx.doi.org/10.1177/106907279500300208.

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18

Carlson, John G. "Recent Assessments of the Myers-Briggs Type Indicator." Journal of Personality Assessment 49, no. 4 (August 1985): 356–65. http://dx.doi.org/10.1207/s15327752jpa4904_3.

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19

Jones, AC, FJ Courts, PL Sandow, and RE Watson. "Myers-Briggs Type Indicator and dental school performance." Journal of Dental Education 61, no. 12 (December 1997): 928–33. http://dx.doi.org/10.1002/j.0022-0337.1997.61.12.tb03175.x.

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20

Muralidharan, Rohith, Neenu Kuriakose, and Sangeetha J. "Myers-Briggs Personality Prediction." Indian Journal of Data Mining 3, no. 1 (December 30, 2023): 11–19. http://dx.doi.org/10.54105/ijdm.b1630.053123.

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The Myers-Briggs Type Indicator (MBTI) is one of the most commonly used tool for assessing an individual's personality. This tool allows us to identify the psychological proclivity in the way they take decisions and perceive the world. MBTI has it’s applications spread across several fields which include career development and personal growth. This test consists of a set of questions which are specifically designed to evaluate and measure an individual's choices based on four dichotomies - Extraversion (E) vs. Introversion (I), Sensing (S) vs. Intuition (N), Thinking (T) vs. Feeling (F), and Judging (J) vs. Perceiving (P). Myers-Briggs Personality Prediction project aims to develop and deploy a system using machine learning which is capable of predicting one's MBTI personality type based on their online written interactions such as social media posts, comments, blogs etc. This project has significant implications for various applications, including improving customer experience, optimizing team dynamics, and developing personalized coaching programs. Through this project, we hope to gain a deeper understanding of how language use and personality type are related and to develop a robust tool for personality prediction.

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21

Haidar, Mohamad, Faisal Ridha, John Ling, Mashal Akhter, Laura Kueny, Osama Sabbagh, Chaesik Kim, and Katrina Chin Loy. "Myers-Briggs Type Indicator Personality Types of Ophthalmology Residents." Journal of Academic Ophthalmology 13, no. 02 (July 2021): e158-e162. http://dx.doi.org/10.1055/s-0041-1732346.

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Abstract Objective This study attempts to use the Myers-Briggs Type Indicator (MBTI) to analyze personality types among current and recent ophthalmology residents. We aimed to evaluate the prevalence rates of each specific personality type in ophthalmology, and whether these changed by level of training, training program, or fellowship selection. The study aimed to evaluate whether certain personality types are more prevalent in ophthalmology as a unique medical specialty. This can help understand specialty choice and potentially predict trends in specialty selection. Study Design After obtaining institutional review board approval from Howard University Hospital, an electronic version of the MBTI questionnaire, form M, was sent to participants. In addition to the questionnaire, participants responded to four questions inquiring about home program, postgraduate training level, subspecialty interest, and work environment (if applicable). The anonymous responses of the surveys were automatically scored on google forms, and the results were analyzed by using StatView statistical analysis. Setting This study was conducted at Howard University, Georgetown University, George Washington University, University of Texas Medical Branch at Galveston, and Kresge Eye Institute. Participants A total of 66 current residents and recent graduates of five residency programs were involved in this study. Main Outcomes and Measures This study evaluated four-letter personality type from each participant. Results Ophthalmology residents were statistically more likely to be identified in the categories of extroversion (E) than introversion (I) (p = 0.049), thinking (T) than feeling (F) (p = 0.027), and judging (J) than perceiving (P) (p = 0.007), with no statistically significant difference between sensing (S) and intuition (N). ENTP, ESTJ, and ISTJ were the most common personality types, each comprising 13.6% of the sample population. The ratio of J:P was found to increase as training level increased, beginning with postgraduate 2nd year until graduate level. Conclusion Certain personality types are more common among ophthalmology residents in our cohort from five different training programs. It is possible that individual types change over the course of residency training and career. Understanding that these findings exist can be used as a baseline for future research in terms of potential predictors for applicants, of resident knowledge base, and personality changes over the course of one's training.

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22

MURRAY, JOHN B. "REVIEW OF RESEARCH ON THE MYERS-BRIGGS TYPE INDICATOR." Perceptual and Motor Skills 70, no. 3 (1990): 1187. http://dx.doi.org/10.2466/pms.70.3.1187-1202.

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23

Murray, John B. "Review of Research on the Myers-Briggs Type Indicator." Perceptual and Motor Skills 70, no. 3_suppl (June 1990): 1187–202. http://dx.doi.org/10.2466/pms.1990.70.3c.1187.

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24

Unchae Jeong. "Myers-Briggs Type Indicator and Realms of Fundamental Epic." Classical Literature and Education ll, no. 19 (February 2010): 79–101. http://dx.doi.org/10.17319/cle.2010..19.79.

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25

Opt, Susan K., and Donald A. Loffredo. "Communicator Image and Myers—Briggs Type Indicator Extraversion—Introversion." Journal of Psychology 137, no. 6 (November 2003): 560–68. http://dx.doi.org/10.1080/00223980309600635.

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26

Houghton, A. "Using the Myers-Briggs type indicator for career development." BMJ 320, no. 7248 (June 3, 2000): 2. http://dx.doi.org/10.1136/bmj.320.7248.s2-7248.

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27

Thorne, B. Michael, Julia Houston Fyfe, and Thomas G. Carskadon. "The Myers-Briggs Type Indicator and Coronary Heart Disease." Journal of Personality Assessment 51, no. 4 (December 1987): 545–54. http://dx.doi.org/10.1207/s15327752jpa5104_6.

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28

Lowenthal, Werner. "Use of Myers-Briggs Type Indicator in Pharmacy Education." American Journal of Pharmaceutical Education 52, no. 2 (1988): 122–24. http://dx.doi.org/10.1016/s0002-9459(24)03001-8.

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29

Jain, Vijay K., and Rakesh Lall. "Nurses' Personality Types Based on the Myers-Briggs Type Indicator." Psychological Reports 78, no. 3 (June 1996): 938. http://dx.doi.org/10.2466/pr0.1996.78.3.938.

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30

Lamm, Alexa J., and Ricky W. Telg. "Using the Myers-Briggs Personality Type Indicator to Strengthen Extension Programs." EDIS 2015, no. 7 (October 9, 2015): 4. http://dx.doi.org/10.32473/edis-wc233-2015.

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A person’s personality affects the way he or she learns best. Extension programs can use an understanding of different learning styles and preferences to reach the greatest number of people. This EDIS document is the second in the Teaching to Different Personality Types series, and covers the Myers-Briggs Type Indicator (MBTI®). Written by Alexa J. Lamm and Ricky W. Telg, and published by the UF Department of Agricultural Education and Communication, September 2015. (Photo credit: Rawpixel Ltd/iStock/Thinkstock.com) AEC571/WC233: Using the Myers-Briggs Personality Type Indicator to Strengthen Extension Programs (ufl.edu)

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31

Girelli, Steven A., and Jayne E. Stake. "Bipolarity in Jungian Type Theory and the Myers--Briggs Type Indicator." Journal of Personality Assessment 60, no. 2 (April 1993): 290–301. http://dx.doi.org/10.1207/s15327752jpa6002_7.

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32

Gridley, Mark C. "Myers-Briggs Personality Types of Art Collectors." Psychological Reports 94, no. 2 (April 2004): 736–38. http://dx.doi.org/10.2466/pr0.94.2.736-738.

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27 art collectors (13 men, 14 women) completed the Myers-Briggs Type Indicator. Their age range was 37 to 86 years and the mean 59.5 yr. Seventy percent were classified as Intuition types instead of Sensation types (versus its 25% incidence in the general population). This corresponds to personality profiles of artists and the disproportionately high incidence of high scores on the related Openness to Experience factor in studies of creative personalities, thereby supporting the contention that persons creating art and appreciating art have personality traits in common.

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33

Chen, Feixiong, Xinyi Shen, Yimin Liu, Yi Wang, Zitao Zhang, and Muyin Wang. "Myers-Briggs Type Indicator analysis using decision-tree-related methods." Applied and Computational Engineering 2, no. 1 (March 22, 2023): 899–913. http://dx.doi.org/10.54254/2755-2721/2/20220564.

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Myers-Briggs Type Indicator (MBTI) is currently one of the most widely used personality testing tools. MBTI has important value in the field of psychology and career planning. In this essay, a system that can predict people's MBTI features based on their social media posts is proposed. The dataset used in this paper is derived from the online posts of peo-ple with different MBTI personality types. After these posts are preprocessed, they will be analyzed using methods related to decision trees such as random forest and XGBoost. The results from these methods will be compared to other common methods, such as neural networks. The essay measures the ability of the different methods by using the classifying accuracy in the four different dimensions of MBTI. The decision-tree-related methods achieved generally higher accuracy in the task than other types of methods such as neural networks. Methods such as random forest achieved accuracy over 85% on the second la-bel (N/S), and at least 60% accuracy on other labels.

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34

Furnham, Adrian, and John Crump. "The Myers-Briggs Type Indicator (MBTI) and Promotion at Work." Psychology 06, no. 12 (2015): 1510–15. http://dx.doi.org/10.4236/psych.2015.612147.

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35

Setyaedhi, Hari Sugiharto. "Gambaran Kepribadian Pengurus OSIS Berdasarkan Myers Briggs Type Indicator (MBTI)." Indonesian Psychological Research 2, no. 1 (January 14, 2020): 13–21. http://dx.doi.org/10.29080/ipr.v2i1.196.

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Penelitian ini bertujuan untuk mengetahui gambaran tipe kepribadian peserta didik yang mereka miliki sebagai pengurus OSIS di sekolah. Metode penelitian ini menggunakan metode kualitatif. Populasi penelitian ini adalah pengurus OSIS SMA dari seluruh Indonesia yang mewakili provinsi dan sekolah. Subyek penelitian sebanyak 235 pengurus OSIS dari seluruh SMA di Indonesia yang mengikuti kegiatan Kawah Kepemimpinan Pelajar (KKP). Metode pengumpulan data dengan kuesioner Myers-Briggs Type Indicator (MBTI) dan dikonfirmasi melalui wawancara. Hasil penelitian menunjukkan bahwa tipe kepribadian peserta didik yang menjadi pengurus OSIS adalah: 42% peserta didik mempunyai tipe kepribadian Extravert, Sensing, Thinking, Judging (ESTJ), 11% peserta didik berkepribadian Extravert, Sensing, Thinking, Perceiving (ESTP), dan sebanyak 10% Introvert, Sensing, Thinking, Judging (ISTJ). Keterpaduan pengurus dengan tipe ESTJ, ESTP, dan ISTJ dan tipe lainnya diharapkan dapat menjadi kombinasi yang pas dalam kepengurusan OSIS, dapat saling mengisi kekurangan. Sebagai temuan tambahan, diketahui bahwa analisis data tipe kepribadian berdasarkan jenis kelamin, menunjukkan bahwa tidak ada perbedaan yang signifikan antara pria dan wanita dalam kepribadian pengurus OSIS. Penelitian ini bertujuan untuk mengetahui gambaran tipe kepribadian peserta didik yang mereka miliki sebagai pengurus OSIS di sekolah. Metode penelitian ini menggunakan metode kualitatif. Populasi penelitian ini adalah pengurus OSIS SMA dari seluruh Indonesia yang mewakili provinsi dan sekolah. Subyek penelitian sebanyak 235 pengurus OSIS dari seluruh SMA di Indonesia yang mengikuti kegiatan Kawah Kepemimpinan Pelajar (KKP). Metode pengumpulan data dengan kuesioner Myers-Briggs Type Indicator (MBTI) dan dikonfirmasi melalui wawancara. Hasil penelitian menunjukkan bahwa tipe kepribadian peserta didik yang menjadi pengurus OSIS adalah: 42% peserta didik mempunyai tipe kepribadian Extravert, Sensing, Thinking, Judging (ESTJ), 11% peserta didik berkepribadian Extravert, Sensing, Thinking, Perceiving (ESTP), dan sebanyak 10% Introvert, Sensing, Thinking, Judging (ISTJ). Keterpaduan pengurus dengan tipe ESTJ, ESTP, dan ISTJ dan tipe lainnya diharapkan dapat menjadi kombinasi yang pas dalam kepengurusan OSIS, dapat saling mengisi kekurangan. Sebagai temuan tambahan, diketahui bahwa analisis data tipe kepribadian berdasarkan jenis kelamin, menunjukkan bahwa tidak ada perbedaan yang signifikan antara pria dan wanita dalam kepribadian pengurus OSIS.

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36

Janowsky, David S., Elliot Hong, Shirley Morter, and Laura Howe. "Myers Briggs Type Indicator Personality Profiles in Unipolar Depressed Patients." World Journal of Biological Psychiatry 3, no. 4 (January 2002): 207–15. http://dx.doi.org/10.3109/15622970209150623.

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37

Allen, Judy. "Using the Myers Briggs Type Indicator — part of the solution." British Journal of Nursing 3, no. 9 (May 12, 1994): 473–77. http://dx.doi.org/10.12968/bjon.1994.3.9.473.

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38

GRANDY, THOMAS G., GARY H. WESTERMAN, ROMER A. OCANTO, and CHARLENE G. ERSKINE. "PREDICTING DENTISTS' CAREER CHOICES USING THE MYERS-BRIGGS TYPE INDICATOR." Journal of the American Dental Association 127, no. 2 (February 1996): 253–58. http://dx.doi.org/10.14219/jada.archive.1996.0178.

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39

Gilotra, NishaA, IkeS Okwuosa, Adam Shpigel, Ruth Tamrat, Deirdre Flowers, Kimberly Skarupski, DavidM Yousem, and StuartD Russell. "Description of Heart Failure Patients' Myers-Briggs Type Indicator Profiles." Health Behavior and Policy Review 4, no. 2 (March 1, 2017): 189–98. http://dx.doi.org/10.14485/hbpr.4.2.10.

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40

McCaulley, Mary H. "Myers-Briggs Type Indicator: A bridge between counseling and consulting." Consulting Psychology Journal: Practice and Research 52, no. 2 (2000): 117–32. http://dx.doi.org/10.1037/1061-4087.52.2.117.

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41

Kean, Rita C., Carol Mehlhoff, and Robert Sorensen. "Using the Myers-Briggs Type Indicator to Assess Student Needs." Clothing and Textiles Research Journal 6, no. 2 (January 1988): 37–42. http://dx.doi.org/10.1177/0887302x8800600206.

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Lea Williams, Dianna. "Frequencies of Myers Briggs Type Indicator (MBTI) Among Military Leaders." Journal of Leadership Studies 5, no. 3 (March 1999): 50–56. http://dx.doi.org/10.1177/107179199900500305.

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43

Saggino, Aristide, Colin Cooper, and Paul Kline. "A confirmatory factor analysis of the Myers–Briggs Type Indicator." Personality and Individual Differences 30, no. 1 (January 2001): 3–9. http://dx.doi.org/10.1016/s0191-8869(00)00004-0.

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44

Gilotra, Nisha A., Ike S. Okwuosa, Adam Shpigel, Ruth Tamrat, Deirdre Flowers, Kimberly Skarupski, David Yousem, and Stuart D. Russell. "Myers Briggs Type Indicator and Outcomes in Heart Failure Patients." Journal of Cardiac Failure 21, no. 8 (August 2015): S131. http://dx.doi.org/10.1016/j.cardfail.2015.06.376.

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45

CARLSON, JOHN G. "Affirmative: In Support of Researching the Myers-Briggs Type Indicator." Journal of Counseling & Development 67, no. 8 (April 1989): 484–86. http://dx.doi.org/10.1002/j.1556-6676.1989.tb02124.x.

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46

Kennedy, R. Bryan, and D. Ashley Kennedy. "Using the myers-briggs type indicator® in career counseling." Journal of Employment Counseling 41, no. 1 (March 2004): 38–43. http://dx.doi.org/10.1002/j.2161-1920.2004.tb00876.x.

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47

Corman, Lawrence S., and Richard G. Platt. "Correlations among the Group Embedded Figures Test, the Myers-Briggs Type Indicator and Demographic Characteristics: A Business School Study." Perceptual and Motor Skills 66, no. 2 (April 1988): 507–11. http://dx.doi.org/10.2466/pms.1988.66.2.507.

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Prior studies have yielded estimates for relations between the Group Embedded Figures Test, the Myers-Briggs Type Indicator, and demographic characteristics. This study presents findings for 107 men and 119 women enrolled in business school. Correlations between the Embedded Figures and Sensing-Intuition scale of the Myers-Briggs Type Indicator were significant as were values of Judgment-Perception with both Sensing-Intuition and Thinking-Feeling. Scores on the two tests show these students perform differently from the normative population.

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48

Brugger, Peter, and Alfred T. Baumann. "Repetition Avoidance in Responses to Imaginary Questions: The Effect of Respondents' Belief in ESP." Psychological Reports 75, no. 2 (October 1994): 883–93. http://dx.doi.org/10.2466/pr0.1994.75.2.883.

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42 subjects were given the Myers-Briggs Type Indicator which demands checking either one of two response variants for each of 81 questions. Before, they had completed an imaginary questionnaire version, that is, checked 81 times either “a” or “b” without seeing any questions. Three main findings emerged. (1) Over all subjects, repetitions of the same response alternative were significantly avoided only in the imaginary version, indicating that item content in the Myers-Briggs Type Indicator overrode response stereotypy. (2) On the imaginary version, repetition avoidance was significant for those subjects who said they believed in extrasensory perception (ESP) but not for nonbelievers, corroborating previous reports of an association between belief in ESP and repetition avoidance. (3) In comparison to nonbelievers, believers in ESP scored higher on the dimension “feeling” (as opposed to “thinking”) of the Myers-Briggs Type Indicator. This result is in line with the assumption that belief in ESP is associated with a style of thinking more typical for the right hemisphere.

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49

Mawadatul Maulidah. "KLASIFIKASI KEPRIBADIAN MENGGUNAKAN ALGORITMA MACHINE LEARNING." Jurnal Informatika Dan Tekonologi Komputer (JITEK) 3, no. 1 (April 14, 2023): 66–73. http://dx.doi.org/10.55606/jitek.v3i1.1292.

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Myers-Briggs Personality Type (MBTI) is a popular personality metric that uses four dichotomies as indicators of personality traits. This study uses a public dataset from Kaggle, namely the Myers-Briggs Personality Type Dataset, the model tested is several machine learning classification models with the help of imlearn under-over sampling techniques for classifying MBTI personality types. This study aims to classify the Myers-Briggs Type Indicator (MBTI) personality type based on text from user posts on the social media platform Reddit. The dataset used in this study consists of around 8,000 posts collected from the MBTI subreddit. Several text processing methods such as tokenization, punctuation removal, and stemming are used to process the raw data before it is entered into the model. The experimental results show that the LSTM model using Adam's optimizer and a learning rate of 0.01 produces good performance with an accuracy of 80.73 compared to other machine learning models. In addition to the LSTM model, XG Boost is also a classification model with the highest accuracy based on 16 personality types producing an accuracy of 60.09 and Logistic Regression with the NS dimension as the best accuracy value of 87.21%.

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Shi, Ru, and Yebing Yang. "Exploring the Construct Validity of the Chinese Version of the Myers-Briggs Type Indicator-G." Social Behavior and Personality: an international journal 37, no. 5 (August 1, 2009): 591–99. http://dx.doi.org/10.2224/sbp.2009.37.5.591.

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Abstract:

The construct validity of the Chinese version of the Myers-Briggs Type Indicator (Myers & Briggs, 1962) was examined by conducting two analyses – factor analysis and correlation analysis on four different personality tests in their revised Chinese versions and comparing the corresponding results. A sample of 998 undergraduates in China was used: 798 males and 200 females ranging in age from 19 to 23. Four Chinese-version personality questionnaires, Myers-Briggs Type Indication Form G, the Minnesota Multiphasic Personality Inventory-2, 16 Personality Factors and Eysenck Personality Questionnaire, were used. The results showed that either a 4- or a 5-factor design appears to be the best choice for the Chinese version of the MBTI, the SN scale can be further divided into two parts, with one dealing with the problem “where to gather or perceive information”, and the other involving attitudes towards, and methods for selecting, information. The JP scale was largely unitary in nature compared with the 3 other scales of the MBTI.

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