Budisetyono, Gracia Amanda Sam
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Descriptive & Comparative Analysis of Labor IQ in Indonesia by Age, Education, and Provincial Domicile Wikantiyoso, Bimo; Budisetyono, Gracia Amanda Sam; Setiawan, Alvin Benedict
Journal of The Community Development in Asia Vol 7, No 3 (2024): September 2024
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v7i3.3515

Abstract

This study aims to determine the average IQ score of the Indonesian population in order to provide a more accurate basis for setting reasonable IQ targets in the employee recruitment process. The research method used is descriptive quantitative and comparative quantitative research with cross-sectional and convenience sampling methods. A pilot test of the instrument was conducted to ensure the reliability and validity of the scale used, and the results showed a high level of reliability (Cronbach's Alpha = 0.935). Descriptive analysis involved respondents' profiles, demographics, and IQ scores, while cross tabulation analysis was conducted for demographic variables such as gender, province, age, and education level against IQ scores. T-test results showed significant differences in IQ scores by age group, education level, and province. Although previous findings indicated a difference in average IQ between men and women, further analysis of this study's data showed that there was no significant difference in IQ scores between the sexes. These results highlight the complexity of factors that influence intelligence and challenge previous findings of IQ differences between men and women.
Descriptive and Comparative Analysis of Labor IQ in Indonesia by Gender, Age, Education, and Provincial Domicile Wikantiyoso, Bimo; Budisetyono, Gracia Amanda Sam; Setiawan, Alvin Benedict
Journal of The Community Development in Asia Vol 7, No 3 (2024): September 2024
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v7i3.3515

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.