Guide - Dictionary of concepts

Particulars (personal data of the respondent) in the survey

Questions about the basic data about the person completing the survey are given a common name particulars, which is usually placed at the end of the questionnaire. Although additional questions seem redundant or irritating to respondents, they play a fundamental role in the advanced analysis of test results. 

Why? Because it is the particulars that allows the use of data on respondents to carry out an even more accurate and advanced analysis of the collected data. A reference to the characteristic part of the surveys, such as:

Research driven by companies to customers – enables segmentation of respondents and filtering of information.

Employee research – questions including for the department in which you work or for sex will allow not only for a more advanced analysis of results, but also for reporting results only to those responsible.

Candidate Experience research, but it is important that the metrics questions don’t allow the respondent to be identified, as in principle the surveys addressed to employees should be anonymous.

– Demographic and scientific research or for diploma theses, like master’s theses.

In these and other cases, when creating a questionnaire, it is often asked about the age, education or gender of the respondent. All questions of this type regarding sociodemographic data belong to the pool of questions called the particulars.

Questions about personal informations are usually placed at the end of the survey, because the request to provide this data at the beginning, may affect its outcome or change the perception of the further part by the respondents. Depending on the type or purpose of the survey, however, the particulars can also be placed at the beginning. Such situations usually concern a short questionnaire, in which the collection of personal data on gender, age or place of residence are the core of the questionnaire.

Examples of metric questions:

  • Sex,
  • Age,
  • Level of education,
  • Marital status,
  • Place of residence,
  • Occupation,
  • Income.

The type of questions you use depends on the kind of study. If you direct your questionnaire only to women, you don’t need to ask for this particulars question.

 Even if you don’t think that the particulars in your survey is needed, you may find that the variable questions (eg age of the respondent) has a significant impact on the results of the study at the stage of analyzing the data and preparing the report.

Personal questions are easily created on the platform – each of the popular types of particulars questions can be appropriately reduced so that respondents enter and select only the data you specify (eg in the age question you can set the range from 0 to 100 years, and in the question about the level of education enter all legally valid levels). Thanks to this, you will avoid typos, mistakes and different interpretations of a given metric question by respondents.

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