Προβλήματα ανάμειξης μεθόδων συνεντεύξεων σε μεγάλη δειγματοληπτική έρευνα : το SHARE corona survey
Problems of mixing interview methods in large sample surveys : the case of SHARE Corona survey

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Keywords
Δειγματοληπτική έρευνα ; Σφάλμα και κόστος έρευνας ; Μέθοδοι συνεντεύξεων ; Μίξη μεθόδων συνεντεύξεων ; Προσωπική έρευνα (CAPI) ; Τηλεφωνική έρευνα (CATI)Abstract
Interview methods vary from survey to survey. Several methods have been identified in sample surveys over time. With the development and introduction of technology into our lives, came the modernization of these methods. More specifically, the use of computer and automated techniques actively contributed to the optimization of procedures, saving time and avoiding sampling errors, such as response error and measurement error. However, in each survey an effort is made to find the appropriate interview method or mix of interview methods based on the purpose of each survey and the greatest possible balance between error minimization and profit maximization.
This paper provides an extensive report on the mix of interview methods in the SHARE sample survey. This survey concerns European countries and Israel and includes people aged 50 and over. Traditionally, interviews were conducted using the computer-assisted personal interview (CAPI) method. The outbreak of the pandemic during the 8th wave of the survey, however, brought about the change in the method of data collection. Thus, personal interviews gave way to computer-assisted telephone interviews (CATI) so that the completion of the 8th wave became possible.
Participation rates and frequencies will be observed and compared between the most recent waves of the SHARE survey, with both in-person and telephone interviews. In addition, responses to common questions from the same participants will be compared during the 8th wave where the methods were switched.
The purpose of this research paper is to find the possible reasons for the different answers given regarding the subjective assessment of health and the total monthly income. Essentially, it will be assessed whether these differences arise from the mixing of the two interview methods in the 8th wave or whether they come from other factors (e.g., age, gender, country, educational level, differences in answers to other questions, new conditions due to the pandemic ).