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Surveys

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

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Using AI in Forward-Backward Translation of Questionnaires for Men Invited to Prostate Cancer Screening:

Sofie Meyer Andersen^1,2, Pia Kirkegaard^1,2, Krzysztof Tupikowski^3,4

¹Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus N, Denmark.

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Summary

This summary is machine-generated.

Artificial intelligence (AI) aids questionnaire translation, saving time and resources. Human review remains crucial for optimizing accuracy and cultural nuance in cross-cultural research.

Keywords:

AI artificial intelligence cognitive interviews cross-cultural research forward-backward translation health survey translation prostate cancer screening questionnaire adaptation

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Area of Science:

Medical research methodology
Health communication
Cross-cultural adaptation of instruments

Background:

Accurate translation is vital for research generalizability and cultural relevance.
Traditional World Health Organization (WHO) forward-backward translation is effective but time-consuming.
Artificial intelligence (AI) presents opportunities to enhance translation efficiency and reduce costs.

Purpose of the Study:

To explore the integration of AI into the WHO forward-backward translation process for questionnaires.
To assess AI's effectiveness in translating research instruments between English and Polish.

Main Methods:

Adapted WHO 4-step translation method using AI tools (ChatGPT, Bing Copilot) for English-to-Polish translation.
Independent review and correction by native Polish speakers of AI-generated translations.
AI-assisted back-translation from Polish to English, with expert panel review for discrepancies.
Cognitive interviews with native Polish speakers to ensure construct validity and usability.

Main Results:

AI facilitated initial translations with minor discrepancies, effectively managed by human reviewers.
Adjustments like changing "nieco" to "trochę" improved natural language use in the Attitude Scale.
Cognitive interviews confirmed the need for minor revisions for clarity and cultural appropriateness.

Conclusions:

AI can significantly streamline the translation process, offering substantial time and cost savings.
Human expertise remains indispensable for refining translations, ensuring cultural nuance, and optimizing accuracy.
AI-assisted translation shows promise for efficient cross-cultural research instrument adaptation.