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Mixed mode data collection: PAPI and CAPI comparison
Pilecká, Jarmila ; Buchtík, Martin (advisor) ; Hendl, Jan (referee)
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
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Testing the Van der Veer et al. Fear-based Xenophobia Scale
Kunc, Michal ; Buchtík, Martin (advisor) ; Chylíková, Johana (referee)
The paper offers a brief theoretical reflection of the concept of xenophobia and a brief review of quantitative research on the topic. It uses reliability analysis, Confirmatory factor analysis and Mokken scale analysis to test the reliability and internal validity of the 9- tem van der Veer Et al. Fear-based xenophobia scale on a sample representative for the Czech Republic. It then uses the scale's results to forma n index which is then used to confirm several hypotheses to examine the construct's external validity. It reaches the conclusion that the scale is reliable and valid and suitable for use on the Czech population, however its results are too easily affected by the ordering of item options, and its results should therefore be used as an index to analyze other variables, not as a standalone source of information. Powered by TCPDF (www.tcpdf.org)
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Mixed mode data collection: PAPI and CAPI comparison
Pilecká, Jarmila ; Buchtík, Martin (advisor) ; Hendl, Jan (referee)
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
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