Pretested: meaning, definitions and examples

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pretested

 

[ priːˈtɛstɪd ]

Adjective
Context #1 | Adjective

research methodology

Pretested refers to something that has been tested or evaluated prior to its actual use or implementation. This practice is often employed in research and survey methodologies to ensure that the tools and processes are effective and reliable. By pretesting, researchers can identify potential issues or misunderstandings, allowing for adjustments to enhance clarity and effectiveness. This term is vital in fields where accurate data collection is essential, such as social sciences, marketing, and product development.

Synonyms

evaluated, pilot-tested, trialed.

Examples of usage

  • We conducted a pretested survey to gather accurate feedback.
  • The pretested materials received positive responses from participants.
  • Pretested questions helped refine the data collection process.
  • The research team analyzed the pretested results for improvements.

Translations

Translations of the word "pretested" in other languages:

🇵🇹 pré-testado

🇮🇳 पूर्व-परीक्षण

🇩🇪 vorgetestet

🇮🇩 pra-uji

🇺🇦 попередньо протестований

🇵🇱 wstępnie przetestowany

🇯🇵 事前テスト済み

🇫🇷 pré-testé

🇪🇸 pretestado

🇹🇷 ön test edilmiş

🇰🇷 사전 테스트된

🇸🇦 مسبق الاختبار

🇨🇿 předtestovaný

🇸🇰 predtestovaný

🇨🇳 预先测试的

🇸🇮 predtestirano

🇮🇸 fyrirprófað

🇰🇿 алдын ала тестіленген

🇬🇪 ამდი წინასწარ გაწვდილი

🇦🇿 öncədən test edilmiş

🇲🇽 pretestado

Etymology

The term 'pretested' has roots in the English language with the prefix 'pre-' meaning 'before' or 'prior to' and the word 'test', which derives from the Latin word 'testari', meaning to bear witness or to affirm. The combination of these words began to gain traction in the late 20th century as research methodologies in the social and behavioral sciences became more rigorous and evidence-based. The practice of pretesting emerged from the necessity to validate tools and measures before deploying them widely in studies. In essence, pretesting serves as a safeguard against methodological flaws and helps researchers ensure the applicability and understanding of their instruments. Its usage has expanded across various fields beyond academia, encompassing marketing and product development, where validating concepts with target audiences plays a crucial role.