Kabir Wealth Code: The combined effect of emotional awareness (EA) and intelligence quotient (IQ)

Background: Intelligence quotient (IQ) is a measure of intellectual ability of performing, comprehension, and learning. Previous studies reported that intelligence measures predict various measures of job performance and income. Emotional awareness (EA) is the measure of emotional capacity to recognize and make sense of one’s emotions, as well as those of others. A high level of emotional awareness (EA) indicates one can learn from expressed emotions quickly. Both IQ and EA are important for personal and professional success.Objective: This study tests the hypothesis that the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional awareness (ability to recognize and make sense of emotions).Method: The population’s average intelligence quotient (IQ), emotional awareness (EA), and indices of good governance, which include corruption perception index and educational expenses for each country, were obtained from public data sources. The outcome variable was per capita gross national income. All the variables that are statistically significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not statistically significant.Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. Intelligence quotient (IQ) and emotional awareness (EA) were found to be highly correlated, at 0.77 and 0.32 respectively, with the per capita gross national income. The independent effects of intelligence quotient (IQ) and emotional awareness (EA) were found significant in the multivariate model after adjusting for measures of good governance. The R square value for the final multivariate model was 0.82. The corruption perception index (CPI) and educational expenses were strongly correlated with other measures of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariate model. Conclusion: The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence. The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence.

Wealth Code Unlocked: The Combined Effect of Emotional Intelligence and Intelligence Quotient

Background: Intelligence quotient (IQ) is a measure of intellectual ability of performing, comprehension, and learning. Previous studies reported that intelligence measures predict various measures of job performance and income. Emotional awareness (EA) is the measure of emotional capacity to recognize and make sense of one’s emotions, as well as those of others. A high level of emotional awareness (EA) indicates one can learn from expressed emotions quickly. Both IQ and EA are important for personal and professional success. Objective: This study tests the hypothesis that the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional awareness (ability to recognize and make sense of emotions). Method: The population’s average intelligence quotient (IQ), emotional awareness (EA), and indices of good governance, which include corruption perception index and educational expenses for each country, were obtained from public data sources. The outcome variable was per capita gross national income. All the variables that are statistically significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not statistically significant. Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. Intelligence quotient (IQ) and emotional awareness (EA) were found to be highly correlated, at 0.77 and 0.32 respectively, with the per capita gross national income. The independent effects of intelligence quotient (IQ) and emotional awareness (EA) were found significant in the multivariate model after adjusting for measures of good governance. The R square value for the final multivariate model was 0.82. The corruption perception index (CPI) and educational expenses were strongly correlated with other measures of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariate model. Conclusion: The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence.

LANDASAN PENYUSUNAN PROGRAM PEMBELAJARAN MATEMATIKA BAGI SISWA TUNAGRAHITA RINGAN

Mentally retarded children or also called children with intellectual disability are children with below average intelligence who experience obstacles in adaptive behavior in the form of taking care of themselves and carrying out activities of daily living. Children with intellectual disability need special education and services to help them achieve optimal development. Children with mild intellectual disability require three basic skills, such as reading, speaking and arithmetic. The implementation of learning in the classroom, especially in learning mathematics requires learning modifications, so that they are in accordance with the individual conditions of intellectual disability students. Intellectual disability students have obstacles to think about something abstract, so in the preparation of learning programs the teacher is expected to; (1) understanding the characteristics of mild intellectual disability students, (2) conducting assessments, (3) being creative in modifying learning methods.

Personal Growth Initiative and Self-Regulated Learning in Students with Low Intelligence Potential

Students with low intelligence potential, have limitations in academic matters. Unlike students with average intelligence, students with low intelligence will find difficulties in completing their academic tasks. Frequently, when their intelligence potentials have not been identified and are included in a regular class, they have to meet the same demands with other students who have normal/average intelligence. Therefore, they struggle to complete the given academic tasks. Their efforts to manage thoughts, feelings and behavior to achieve goals are called Self Regulated Learning (SRL). This study aims to determine the relationship of Personal Growth Initiative (PGI) and Self Regulated Learning in students with low intelligence potential. The research method used is quantitative correlational. The data collection tool used is the PGI and SRL Likert scale; the results of the filling scale are analyzed by product moment correlation statistical techniques. The results show a positive relationship between PGI and SRL (r = 0.677, sig. 0.032) with a contribution of 45.8%. The implication that can be drawn from this research is that it provides proper psychological treatment to students with low intelligence potential so that they can stay motivated in learning process.

Principles of Kabir Wealth Curve

The authors developed a wealth curve (bell curve) that can predict a group of individual’s wealth based on the crossover interaction effect of the average intelligence quotient (one's ability to perform, comprehend and learn) and emotional awareness (emotional ability to recognize and make sense of emotions). To move towards the right on the X-axis of the Kabir wealth curve (e.g. accumulate more wealth), individuals have to improve emotional awareness and choose a professional career path that lands higher income. Similarly, those facing social injustice can accumulate more wealth by improving emotional awareness, which will help them navigate challenging environments.

Principles of Kabir Wealth Curve

The authors developed a wealth curve that can predict a group of individual’s wealth based on the crossover interaction effect of the average intelligence quotient (one's ability to perform, comprehend and learn) and emotional intelligence (emotional awareness and emotional ability to express and handle interpersonal relationships judiciously and empathically).

Decoding State Vaccination Rates Using Intelligence Quotient, Income, and Political Affiliation

The objective of the study was to evaluate the risk factors associated with lower COVID-19 vaccination rates in the United States. The study evaluated the effect of red-blue political affiliation, and the effect of the US state's average intelligence quotient (IQ) and per capita income on states vaccination rates. The study found that states with concomitantly lower income along with lower intelligence quotient (IQ) are less vaccinated while the states with higher income have higher vaccination rates even among those with lower intelligence quotients. These findings stayed significant after adjusting for red-blue political affiliation where states with red political affiliation have lower vaccination rates. Further study is needed to evaluate how to stop online misinformation among low-income low intelligence quotient states and whether such an effort will increase overall vaccination rates in the United States.

Wealth Code Unlocked: The Combined Effect of Emotional Intelligence and Intelligence Quotient

Intellectual quotient (IQ) is a measure of intellectual “ability” of performing, comprehension, and learning. Previous study reported that intelligence measures predict various measures of job performance and income. Emotional intelligence (EI) is the capacity of awareness, controlling and expression of one's emotions, seeking more feedback, and managing one's emotion to handle interpersonal relationships judiciously and empathically. These characteristics are also important for personal and professional success. Objective: This study tests a hypothesis whether the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional intelligence (emotional ability to express and handle interpersonal relationships). Method: The population average intelligence quotient, emotional intelligence, and indices of good governance, which include corruption perception index and educational expenses for each country were obtained from public data sources. The outcome variable for this study was the average national income rank. All the variables that are significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not significant. Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. The product of intelligent quotient (IQ) scores and emotional intelligence (EI) were found highly correlated at -0.75 ( p <0.05) with the national average income rank. The independent effect of intelligence quotient (IQ) and emotional intelligence (EI) was found not significant when their interaction effect (the product of IQ and EI) was introduced in the model. The R square value for the multivariate model with the interaction effect of intelligence quotient (IQ) and emotional intelligence (EI) was the highest at 0.73. The final model also included measures of good governance such as educational expense and corruption perception index (CPI). The corruption perception index (CPI) and educational expense were strongly correlated with measurements of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariable model. Conclusion: The study concludes the effect of emotional intelligence and intelligence quotient are complementary to each other and holds the key to predicting average national income or wealth rank. This study also implies a nation may build more wealth if educational institutes focus on developing emotional intelligence (EI) and intelligence quotient (IQ).

Sex Differences in Autism Spectrum Disorder: Focus on High Functioning Children and Adolescents

Autism Spectrum Disorder (ASD) has historically been studied, known, and diagnosed in males. Females tend to remain unidentified, especially those with average intelligence abilities. This sex/gender difference might be partially explained by biological risk factors, but it is probably also bound to methodological issues. The present study aims to examine phenotypic characteristics (cognitive, emotive, socio-communicative, and academic) of a group of 54 females with ASD matched to a group of 55 males with ASD (3–18 years), all without cognitive impairment. Results suggest that there are subtle, yet potentially meaningful, quantitative, and qualitative phenotypic differences between females and males that common screening tests are not always sensitive enough to recognize. Further studies to improve practice and course for the assessment of females, reducing sex/gender-based inequities in ASD care, are required.

Intelligence and Academic Achievement as Predictors of Reading Disability: A Comparative Study

Children at risk of dyslexia face problems in academic achievement and they were often viewed as children with low intelligence. The purpose of the study was to investigate the relationship between academic achievement and intelligence. The study also aimed to find out academic achievement and intelligence as predictors of children at risk of dyslexia. The study was conducted from September 2020 to November 2020. Sample of 268 students exhibiting problems in reading, writing or mathematical expression was selected from 1532 students with the help of teachers. Dyslexia screening test Junior (DST-J) was used for screening (Nicolson & Fawcett, 1996). Standard Progressive Matrices (SPM) (Raven, Raven, & Court, 1998) were used to assess intelligence. Academic record of all the students was obtained based on their performance in last examination. Results showed children had above average intelligence. Further, academic achievement showed significant positive relationship with intelligence (r=.32, p<.001). Moreover, intelligence and academic achievement were found to be significant predictors of performance of children at risk of dyslexia. Results concluded that children should be given intervention to improve their academic performance.