DATA COLLECTION AND PROCESSING
DATA COLLECTION
ECESR ensures the implementation of data collection on online dashboards. Online panels are characterized by excellent quality, in-depth profiling and a reliably high rate of feedback from panelists. The selection of panelists is always random using CAWI methodology. Due to the robustness of the panelist profile (more than 500 pieces of information), ECESR is able to accurately target the target group of respondents during data collection.
The benefit for the customers is not only the creation of a price quotation for the implementation of the data collection itself within 48 hours, but also the provision of prompt implementation of the data collection according to the needs of the customer.
ECESR panels have more than 100 000 registered members in the Visegrad Group countries and Austria. Throughout the entire data collection process, emphasis is placed on the highest possible quality. For this reason, ECESR actively communicates with the client before, during and after data collection to ensure maximum client satisfaction. Panelists are regularly contacted and verified so that the quality of the panel is always high and up-to-date.
DATA PROCESSING
In addition to programming the questionnaire itself and collecting the data, ECESR also offers several data processing services so that you receive the final data export in the structure you require. Due to the many years of experience of the centre members and their deep analytical skills, ECESR can process all types of data using a variety of tools and techniques. The most common tools we use are IBM SPSS Statistics, SAS and MS Excel. The outputs are delivered in IBM SPSS Statistics, MS Office Excel, Word and PowerPoint documents.
We mainly offer:
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Data cleansing (identification and removal of poor quality data)
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Sample size analysis
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Coding of open-ended questions (Verbatim Coding)
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Language translation of data exports
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Data weighting
Due to the fact that ECESR offers comprehensive services to its customers, we recommend you to take a look at data analysis and list of upcoming courses and seminars.