Taiwan 2024 Presidential Election Voter Perception Analysis

A study from the Japanese Journal of Political Science analyzes voter choice during the 2024 Taiwan presidential election. It uses multinomial logistic regression to examine the effects of war-threat perception and candidate security perception. The dataset, authored by Yu, Yi-Ming, was last updated in March 2026.

Use Cases

• Modeling voting_choice based on war_threat_perception and candidate_security_perception using multinomial logistic regression.
• Analyzing the interaction effect between war_threat_perception and candidate_security_perception on support for different campaign strategies.
• Comparing voter response patterns between peace-oriented and confrontation-oriented candidates using perception survey data.

Strengths

• Analysis is grounded in affective intelligence theory and employs multinomial logistic regression.
• Study provides specific findings on the differential impact of war-threat perception across campaign types.

Limitations

• Dataset size, row count, and specific column details are unknown.
• The raw survey data, sample demographics, and geographic coverage within Taiwan are not specified.
• License and file formats are undisclosed, limiting immediate usability.

Provenance

Source

Japanese Journal of Political Science, author Yu, Yi-Ming.

Collection Method

Analysis of voter perception data using multinomial logistic regression; primary data collection method unspecified.

Time Range

2024 Taiwan presidential election period.

Freshness

null

Geography

Taiwan.