Descriptive and Comparative Analysis of Labor IQ in Indonesia by Gender, Age, Education, and Provincial Domicile

The study aimed to analyze variations in intelligence (IQ) across demographic factors, including gender, age, education, and geographical location, to explore their influence on IQ scores. Utilizing a cross-sectional quantitative research design and convenience sampling, data were analyzed using descriptive and cross-tabulation methods. The results showed no significant difference in IQ scores between males and females, challenging the initial hypothesis regarding gender differences. Additionally, no significant differences were found between age groups, contradicting the expectation that age would influence IQ, specifically through fluid and crystallized intelligence. In contrast, educational level showed a significant positive correlation with IQ scores, confirming the role of education in shaping intelligence. Geographical origin, particularly environmental factors such as access to education and nutrition, did not significantly affect IQ scores, likely due to the homogeneous socioeconomic conditions among the predominantly Java-based sample. These findings highlight the complexity of intelligence determinants and question prior assumptions about demographic influences on IQ

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Journal
Journal of The Community Development in Asia
Published
2024-09-20
DOI
https://doi.org/10.32535/jcda.v7i3.3515
Primary Topic
Entrepreneurship Studies and Influences
Type
article
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article

Descriptive and Comparative Analysis of Labor IQ in Indonesia by Gender, Age, Education, and Provincial Domicile

Alvin Benedict Setiawan, Gracia Amanda Sam Budisetyono, Bimo Wikantiyoso
Journal of The Community Development in Asia
Entrepreneurship Studies and Influences
article

Descriptive and Comparative Analysis of Labor IQ in Indonesia by Gender, Age, Education, and Provincial Domicile

Alvin Benedict Setiawan, Gracia Amanda Sam Budisetyono, Bimo Wikantiyoso
article en

Abstract

The study aimed to analyze variations in intelligence (IQ) across demographic factors, including gender, age, education, and geographical location, to explore their influence on IQ scores. Utilizing a cross-sectional quantitative research design and convenience sampling, data were analyzed using descriptive and cross-tabulation methods. The results showed no significant difference in IQ scores between males and females, challenging the initial hypothesis regarding gender differences. Additionally, no significant differences were found between age groups, contradicting the expectation that age would influence IQ, specifically through fluid and crystallized intelligence. In contrast, educational level showed a significant positive correlation with IQ scores, confirming the role of education in shaping intelligence. Geographical origin, particularly environmental factors such as access to education and nutrition, did not significantly affect IQ scores, likely due to the homogeneous socioeconomic conditions among the predominantly Java-based sample. These findings highlight the complexity of intelligence determinants and question prior assumptions about demographic influences on IQ

Journal of The Community Development in AsiaVol. 7(3)
Pancasila University (ID), Manning Applied Technology (United States) (US)
Openalex Percentile: Top 74%
Entrepreneurship Studies and Influences
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Descriptive and Comparative Analysis of Labor IQ in Indonesia by Gender, Age, Education, and Provincial Domicile — Alvin Benedict Setiawan, Gracia Amanda Sam Budisetyono, et al. · Journal of The Community Development in Asia (2024) | TGRS Research Map | TGRS