Usage of mixed mode is popular among researchers mainly because of its flexibility and possibility of lowered costs, time and response bias. Therefore engagement in analysis of potential differences and problems is necessary mainly in mapping effects of these combinations. My diploma thesis focuses on possibilities of equivalence of mixed mode PAPI and CAPI collection of data. I use Multi-Group Confirmatory Factor Analysis (MG CFA) for analysing the equivalence of measurement. This is quite unusual method for analysing a mixed-mode and few researchers used it till now. Most of the studies focused on differences in answers of respondents caused by mode effect or cognitive process of answering the questions. Key words: Mixed mode design, equivalence, confirmatory factor analysis, CAPI and PAPI, mode effect