scholarly journals Stress, Stress Coping, and School Adaptation according to Myers-Briggs Type Indicator(MBTI) Personality Type in Freshmen Nursing Students

2013 ◽  
Vol 19 (2) ◽  
pp. 172-182 ◽  
Author(s):  
Young-Ran Lee ◽  
Sun-Hee Kim ◽  
Min Sun Chu
Keyword(s):  
Nursing Students ◽  
Personality Type ◽  
Stress Coping ◽  
Myers Briggs Type Indicator ◽  
School Adaptation ◽  
Type Indicator ◽  
Myers Briggs

scholarly journals The Relationship Between Personality Type And Leadership Focus

2006 ◽  
Vol 4 (1) ◽  
Author(s):  
Grant Sieff ◽  
Louis Carstens
Keyword(s):  
South African ◽  
Personality Type ◽  
Target Population ◽  
Personality Types ◽  
Leadership Role ◽  
Myers Briggs Type Indicator ◽  
Multiple Focus ◽  
Type Indicator ◽  
Myers Briggs ◽  
The Relationship

Optimising focus is a key success driver for many organisation leaders. The relationship between personality type and leadership focus is examined. Personality type is assessed with Form M of the Myers-Briggs Type Indicator instrument, and leadership focus is explored through the development and application of a Leadership Focus Questionnaire. South African executives form the target population for this study. Both functionalist and interpretive approaches are applied. Three primary theoretical hypotheses about leadership focus, concerning (1) optimising the balance of focus between external and internal priorities, (2) the fit between the leadership personality type and the organisation type, and (3) the capacity to manage a multiple focus, are considered. Results show that Extraverted personality types are more comfortable with the challenges of focus in the leadership role than are Introverted types, and Extraverted, Sensing, Thinking and Judging types experience a greater degree of fit with their organisations than do Introverted, Intuitive, Feeling and Perceiving types.

Psychology of the Scientist: XLVI: Correlation between Theoretical Orientation in Psychology and Personality Type

1982 ◽  
Vol 50 (3) ◽  
pp. 795-801 ◽  
Author(s):  
James J. Hart
Keyword(s):  
Theoretical Orientation ◽  
Personality Type ◽  
Myers Briggs Type Indicator ◽  
Type Indicator ◽  
Psychology Majors ◽  
Myers Briggs

In this study the question, “Are theoretical and methodological orientation an expression of psychology majors' personalities?” was asked. To answer this question, the Myers-Briggs Type Indicator and the Theoretical Orientation Survey were given to 181 junior and senior psychology majors. It was found that “objectively oriented psychology majors” tended to score high on Sensing on the Myers-Briggs, while “subjectively oriented psychology majors” tended to score high on Intuition.

scholarly journals Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®

2020 ◽  
Vol 4 (1) ◽  
pp. 9
Author(s):  
Mohammad Hossein Amirhosseini ◽  
Hassan Kazemian
Keyword(s):  
Machine Learning ◽  
Personality Development ◽  
Personality Type ◽  
Personality Types ◽  
Myers Briggs Type Indicator ◽  
Type Indicator ◽  
Machine Learning Approach ◽  
Myers Briggs ◽  
Reliable Methods ◽  
Vital Factor

Neuro Linguistic Programming (NLP) is a collection of techniques for personality development. Meta programmes, which are habitual ways of inputting, sorting and filtering the information found in the world around us, are a vital factor in NLP. Differences in meta programmes result in significant differences in behaviour from one person to another. Personality types can be recognized through utilizing and analysing meta programmes. There are different methods to predict personality types based on meta programmes. The Myers–Briggs Type Indicator® (MBTI) is currently considered as one of the most popular and reliable methods. In this study, a new machine learning method has been developed for personality type prediction based on the MBTI. The performance of the new methodology presented in this study has been compared to other existing methods and the results show better accuracy and reliability. The results of this study can assist NLP practitioners and psychologists in regards to identification of personality types and associated cognitive processes.

Correlations among Three Measures of Personality Type

1993 ◽  
Vol 77 (2) ◽  
pp. 650-650 ◽  
Author(s):  
Irving F. Tucker ◽  
Bonnie V. Gillespie
Keyword(s):  
Undergraduate Students ◽  
Personality Type ◽  
Myers Briggs Type Indicator ◽  
Computer Version ◽  
Keirsey Temperament Sorter ◽  
Type Indicator ◽  
Myers Briggs

Correlational comparisons were made between the Myers-Briggs Type Indicator and both the Keirsey Temperament Sorter and its computer version, Please Understand Me, for 103 undergraduate students in psychology. Values from .68 to .86 suggest that these three instruments were measuring the same constructs. Specific differences are discussed.

scholarly journals Tipe Kepribadian pada Mahasiswa Kelas Manajemen Universitas Bina Nusantara dengan Menggunakan Myers-Briggs Type Indicator (MBTI)

2014 ◽  
Vol 5 (1) ◽  
pp. 344
Author(s):  
Son Wandrial
Keyword(s):  
Personality Type ◽  
Personality Types ◽  
Myers Briggs Type Indicator ◽  
Type Indicator ◽  
Myers Briggs

This article was made to identify the personality type of students I teach using the MBTI models. There are 32 standard questions in the questionnaire, and students are asked to choose one of two available answers for each question. Furthermore, students return all questionnaires had been answered, and the researcher calculates and gives the scores to the answers given referring to the four types of the MBTI whether the student is in the category: Extrovert-Introvert, Sensing-Intutive, Thinking-Feeling, and Judging-Perceiving. There are 16 personality types in the MBTI. The question took from the book Richard L Daft. The results show the majority of students is extroversion type in approximately 60.31%, and the rest is introversion type and about 58.78% of students are sensing type.

scholarly journals Prediction Of Myers-Briggs Type Indicator Personality Using Long Short-Term Memory

2021 ◽  
Vol 21 (2) ◽  
pp. 104
Author(s):  
Mawadatul Maulidah ◽  
Hilman Ferdinandus Pardede
Keyword(s):  
Machine Learning ◽  
Short Term Memory ◽  
Personality Type ◽  
Myers Briggs Type Indicator ◽  
Short Term ◽  
Term Memory ◽  
Learning Speed ◽  
Type Indicator ◽  
Myers Briggs ◽  
Long Short Term Memory

Personality is defined as the mix of features and qualities that make up an individual's particular character, including thoughts, feelings, and behaviors. With the rapid development of technology, personality computing is becoming a popular research field by providing users with personalization. Many researchers have used social media data to automatically predict personality. This research uses a public dataset from Kaggle, namely the Myers-Briggs Personality Type Dataset. The purpose of this study is to predict the accuracy and F1-score values so that the performance for predicting and classifying Myers–Briggs Type Indicator (MBTI) personality can work optimally by using attributes from the MBTI dataset, namely posts and types. Predictive accuracy analysis was carried out using the Long Short-Term Memory (LSTM) algorithm with random oversampling technique with the Imblearn library for MBTI personality type prediction and comparing the performance of the method proposed in this study with other popular machine learning algorithms. Experiments show that the LSTM model using the RMSprop optimizer and learning speed of 10-3 provides higher performance in terms of accuracy while for the F1-score the LSTM model using the RMSprop Optimizer and learning speed of 10-2 gives a higher value than the proposed machine learning algorithm so that the model MBTI dataset using LSTM with random oversampling can help in identifying the MBTI personality type.

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