| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2020: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2019: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2018: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
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| Outline of Final Research Achievements |
The purpose of this study was to elucidate, from a multilayered micro-macro perspective, the mechanisms of the impact brought about by measurement errors in the generation process of social psychology data. The aim was to establish a methodology for correcting data in a valid manner through statistical modeling. We approached this 'old' theme with a 'new' perspective that responds to the dramatically changing data collection environment in contemporary social psychology research. This was achieved through statistical modeling - understanding the mechanism of data generation and expressing it through probability distributions - which is a method for predicting data. We conducted research on three themes: demand characteristics, latent attitude measurement, and time-series comparison using different samples, and achieved results in each area.
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