Science of Surveys


Step 5: Survey Administration: Personal Interviews

Personal interviews allow for a one-to-one conversation with the respondent. These are typically conducted on location to capitalize on the proximity of respondents (at a mall, store, or company).

Advantages
Disadvantages
Rich Data- Allows for the most in depth-content any other survey method Cost- Personal interviews are more costly than any other survey method.
Follow up- Interviewers can use "follow-up" questions to probe deeper into their responses or to clarify confusing answers. Difficult to standardize- Since everyone has slightly different views and interests, the data you receive back will be difficult to compare across respondents.
Product demonstration- If the survey relates to a product, respondents can experience the product directly in front of surveyor. Time Consuming- Because respondents need special attention for each personal interview, personal interviews require a great deal of time to complete.
Longer survey possible- People may be willing to talk with respondents longer in person than in other methods. Difficult to obtain randomized sample- doing personal interviews on location will produce a survey sample that have demographics that is specific to that location.
Targeted sample- If survey relates to a specific situation (e.g., satisfaction with a store) it will be easier to find qualified respondents eager to participate on location (outside of the store) as opposed to via mail or internet. Difficult to analyze data- Since the data you will receive is more qualitative (descriptive) than quantitative (numerical), it will be harder to analyze and produce results (unless force choice response options are used)

So which method to choose? That answer will be different for each survey project. To obtain some assistance in deciding which will be best, contact us and we will be happy to assist you.

  1. Determine goals and specify objectives
  2. Conduct question brainstorming and pre-testing
  3. Prepare the questionnaire layout and data format
  4. Sample Selection
  5. Survey administration
  6. Data compilation and analysis
  7. Reporting of Results