Paradata is used to improve the quality of analysis and data collection in F2F interviews. Its collection allows to increase the response rate by analyzing non-responses. Based on the binary logistic regression constructed for datasets including ESS 2010 (ESS-5) and 2018 (ESS-9) data in Germany, was found that a respondent's life circumstances, including the characteristics of their household, influence the consent of the ESS survey: the variables "house type" and "house condition" only partially predict the possibility of obtaining interview consent from the respondent. The chances of a successful interview were also assessed depending on the type of household and its physical condition.

Збір та аналіз параданих у масових опитуваннях дозволяє підвищити рівень якості отриманої інформації, зокрема за допомогою зменшення рівня невідповідей. Дослідження параданих дозволяє дізнатись, як ті, хто відмовляється брати участь у дослідження відрізняється від безпосередніх учасників. Виявлено важливість виміру життєвих обставин респондента за результатами дослідження ESS, в тому числі вплив характеристики нерухомості респондента на ймовірність участі в інтерв’ю. На прикладі ESS було проаналізовано методичні документи дослідження та масив параданих з метою дослідити, як характеристика помешкання респондента впливає на рівень невідповіді у дослідженні ESS. Основою аналізу стали парадані та керівництво для інтерв'юера ESS 2010 (ESS-5) та 2018 року (ESS-9) у Німеччині. Було виявлено, що методичні та супроводжувальні документи німецького ESS зазнали змін, які мають вирішити проблеми дослідження та спрямовані на допомогу інтерв’юеру у тому, щоб правильно визначити характеристики житла респондента, та прихильності респондента до інтерв’юера. Для аналізу впливу характеристики помешкання респондента на ймовірсть невідповіді на анкету було побудовано бінарну логістичну регресію. Виявлено, що змінні «тип будинку» та «стан будинку». лише частково пояснюють можливість встановити контакт з потенційним респондентом

The paper presents the results of adapting Warner’s Index of Status Characteristics to present-day empirical research in Ukraine, namely in Kyiv. An expert survey made it possible to conclude that such characteristics as occupation, dwelling area and house type can be used for constructing an adapted index, whereas a “source of income” should be replaced by “income level”. The author made Warner’s original scheme applicable to Ukraine’s current class structure, which, in turn, enabled an updated interpretation of the six classes suggested by W.Warner. The new stratification scheme has underlain an empirical interpretation of indicators pertaining to income level, occupation, dwelling area and house type. Another important point is the formulation of new rules for categorising respondents according to the calculated values of Warner’s Adapted Index of Status Characteristics.

The paper presents the results of empirical validation and verification of the reliability of the Adapted Warner status characteristic index (Warner’s AISC). Earlier, the adaptation of Warner’s ISС was carried out, and the level of theoretical (obvious and substantial) validity was checked. As a part of checking the level of empirical validity of Warner’s AISC, the level of validity by criteria and construct validity was measured. Two face-to-face surveys (2017–2018) were used as the empirical basis for the study. The validity by criteria was tested through holding a methodical experiment, that comparing two groups which differed significantly in terms of social status. Respondents in two different administrative districts of Kyiv were selected as such groups. The level of prestige of the district of residence differs significantly in terms of prestige. There were found that the mean value of Warner’s AISC in these groups differed significantly, which indicates a high level of validity by criterion. The relationships between the different indicators of the social status of respondents have been analyzed to test the level of validity of construct. Thus, the relationship between Adapted Warner’s Status characteristic index indicators and the results of the questions aimed at directly measuring the self-assessment of their position in society was analyze: 1) integral self-assessment of social status using a seven-point scale; 2) a subjective assessment of the financial situation, within the framework of which the respondent is asked to assess his own financial condition. The mean values of Warner’s AISC in the deferent groups by the level of self-esteem differ significantly. The results obtained speak in favor of the construct validity of Warner’s AISC. With regard to the reliability of the index, it has been concluded that it would be useful to measure the retest reliability of the instrument. Because of the causality characteristics of the composite index we can’t use assessment of usability. The validation results of the Adapted Warner status characteristic index indicate a high level of empirical validity of the instrument.