​Research Data Collection and Analytical Capabilities

SITCON spol. s r.o. provides professional research services focused on data collection, processing, and analytical support for academic, institutional, and commercial research projects.

We implement research projects using several established data collection methodologies, ensuring high-quality datasets suitable for scientific analysis and publication.

Data Collection Methodologies

CAWI – Computer Assisted Web Interviewing

CAWI represents online questionnaire-based data collection conducted through structured online respondent panels.
This methodology enables:

• efficient collection of large datasets
• controlled sampling through verified respondent panels
• automated data validation and consistency checks
• preparation of structured datasets for further statistical analysis
• generation of basic tabulations and analytical outputs

Datasets obtained through CAWI surveys are suitable for academic research, statistical modelling, and publication purposes.


CATI – Computer Assisted Telephone Interviewing

CATI research involves telephone interviewing conducted by trained interviewers using a professional CATI system.
This method is particularly suitable when:

• reaching broader or less digitally accessible populations
• ensuring higher response rates
• addressing complex or sensitive questions that may require clarification
• maintaining controlled interview conditions

Telephone surveys enable controlled data collection with high reliability and interviewer supervision.


Mixed-Mode Research (Combined Data Collection)

For research projects requiring enhanced representativeness and data robustness, SITCON offers mixed-mode data collection combining CAWI and CATI methodologies.
The mixed-mode approach allows:

• improved sample representativeness
• access to diverse respondent groups
• reduction of sampling bias
• increased overall data quality and reliability

This approach is frequently used in academic, sociological, and international comparative research projects.


Data Quality Control

A multi-level data quality control system is implemented throughout all research projects.
Quality assurance procedures include:

• questionnaire logic validation
• duplicate respondent detection
• interview duration monitoring
• attention checks within questionnaires
• interviewer performance monitoring
• dataset validation before delivery

These procedures ensure that collected data meet the methodological standards required for academic and professional research.


Research Outputs

Research projects can include the following outputs:

• complete anonymized dataset (Excel / SPSS format)
• frequency tables and basic statistical summaries
• analytical report with interpretation of findings (upon request)

Prepared datasets are structured to enable further statistical analysis, academic publication, and international research collaboration.

Research Ethics and Data Protection

SITCON strictly follows ethical standards for research and personal data protection.
Key principles include:

• full anonymity of respondents
• compliance with GDPR regulations
• data processing in accordance with European data protection legislation
• delivery of datasets exclusively in anonymized form

These standards ensure ethical integrity and compliance with academic research requirements.