DATA INTEGRATION NONPROBABILTY SAMPLES
DATA INTEGRATION NONPROBABILTY SAMPLES
Survey data integration refers to the combination of data coming from different surveys or sources.
Traditional probability sample surveys are suffering from low response rate and can be prohibitively expensive. New sources, including volunteer web surveys and big data (e.g. social media, google trends, sensors etc.) are emerging. Thus, an interesting field of research is the integration of traditional and non-traditional sources in order augment the information available, reducing the cost of the analysis.
Check my publication and coference presentation list for more insight on my work!
Moretti, A., Salvatore, C., and Kraemer, F. (2026). A Data Quality Framework for Integrated Data via Statistical Matching, International Journal of Population Data Science, 11(5), https://doi.org/10.23889/ijpds.v11i5.3694
Salvatore C., (2024). Inference with non-probability samples and survey data integration: a science mapping study. Metron, https://doi.org/10.1007/s40300-023-00243-6
Salvatore C., Biffignandi S., Sakshaug J., Wiśniowski A., Struminskaya B., (2023). Bayesian integration of probability and non-probability samples for logistic regression. Journal of Survey Statistics and Methodology, https://doi.org/10.1093/jssam/smad041 - Supplemented with a Shiny App
Salvatore C., Biffignandi S., Bianchi A., (2023). Augmenting Business Statistics Information by Combining Traditional Data with Textual Data: A Composite Indicator Approach, Metron