Computer-assisted personal interviewing

Definition

Computer-assisted personal interviewing (CAPI) is a data collection method where an interviewer uses a computer to ask questions and record responses during face-to-face interactions with respondents. This technique enhances the efficiency and accuracy of data gathering by minimizing errors associated with manual data entry and allowing for complex question routing, which can adapt based on previous answers. CAPI is increasingly popular in survey methodologies due to its ability to handle large datasets and provide real-time data analysis.

5 Must Know Facts For Your Next Test

1. CAPI improves the reliability of survey responses by reducing the likelihood of interviewer bias through standardized computer prompts.
2. This method allows for immediate data validation, helping interviewers catch inconsistencies or errors in real-time.
3. CAPI can integrate multimedia elements like images or videos into surveys, enhancing respondent engagement and comprehension.
4. Compared to traditional paper-based interviews, CAPI can significantly speed up the data collection process, making it more efficient.
5. Using CAPI can also facilitate better follow-up questions, as the software can determine which questions to ask based on earlier responses.

Review Questions

• How does computer-assisted personal interviewing improve the accuracy of survey data compared to traditional methods?
  • Computer-assisted personal interviewing enhances accuracy by minimizing human errors in data recording and providing standardized questions that reduce interviewer bias. The use of a computer allows for real-time validation of responses, ensuring that inconsistencies are caught immediately. Additionally, CAPI can adapt questions based on prior answers, leading to more relevant and precise data collection, which ultimately improves the quality of the survey findings.
• Evaluate the advantages and disadvantages of using CAPI in survey methodologies.
  • The advantages of using CAPI include increased efficiency in data collection, reduced error rates due to automated checks, and the ability to incorporate multimedia elements that can enhance engagement. However, disadvantages may include the need for technology training for interviewers, potential technical issues during interviews, and concerns about privacy when using electronic devices. Balancing these factors is crucial for researchers when choosing CAPI as a method for gathering survey data.
• Synthesize how CAPI may influence future trends in survey methodologies and data analysis.
  • As technology continues to advance, computer-assisted personal interviewing is likely to shape future trends in survey methodologies by promoting greater use of digital tools that streamline data collection processes. The integration of artificial intelligence could further enhance adaptive questioning and real-time analytics. This evolution may lead to increased reliance on remote interviews through platforms that utilize CAPI techniques, enabling broader reach and accessibility. Ultimately, these changes could transform how researchers analyze data by allowing for quicker insights and more dynamic response handling.

Related terms

Survey Methodology: The systematic approach to designing surveys that includes the selection of sampling methods, question formulation, and data collection techniques.

Data Entry: The process of inputting or capturing data from various sources into a computer system for processing and analysis.

Interview Techniques: Strategies and methods used by interviewers to effectively communicate and gather information from respondents during interviews.