Intercultural research relies extensively on survey-based methodologies to measure attitudes, behaviors, cognition, and social values across nations. However, most survey instruments are developed within Western cultural frameworks and translated into other linguistic and cultural contexts without proper adaptation. This results in systematic bias, construct invalidity, and inaccurate cross-cultural comparisons. This study examines key sources of intercultural survey bias, including linguistic translation errors, culturally inappropriate scales, response style tendencies, sampling inequities, and socio-cognitive interpretation differences. Using hypothetical comparative datasets, we analyze how these biases distort results and propose a layered framework for culturally valid survey design.