Our in-depth focus on advanced statistical modeling has brought us valuable experience with descriptive statistics, multivariate modeling, different types of regression, longitudinal modeling, structural equation modeling, types of modeling which incorporate a wide range of research questions.
Quantitative research is our passion, aiming at providing interesting insights based on data modeling. Our background is both technical and social, focusing on the relevance of using a specific statistical technique for answering a theoretical research question. We are fascinated by finding innovative analyses which add important pieces of information to the existing knowledge.
The most beautiful part of data analysis is its interdisciplinary nature. We are able to analyze data from various disciplines, such as economics, sociology or medicine, based on a correct definition of variables and specific required tasks.
ABOUT US: ENTHUSIASM AND HARD WORK
At DCI Quantitative Research you will find great enthusiasm mixed with hard work. The more challenging a research project is, the more in-depth thinking mixed with vivid hypothesis testing you will encounter.
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Q6. Let us say we have a dataset with individual dietary habits. For each individual, we know the number of days per month of eating fruits, vegetables, junk food and sweets. We run an exploratory factor analysis because we would like to know whether we can define types of food choices based on the actual […]
Q5. Let us say we have users located in 3 countries. In the first country, there are 10,000 users, in the second country there are 3,000 users and in the third country there are 20,000 users. After sampling the data, 33% of cases seem to belong to the first country. What can we say about […]
Q4. It is very important for babies to eat well as to be healthy. In order to eat well, the babies should be willing to eat if proper meals are provided. Which is the correct causal model for the paths described above? a) Eating well -> being healthy -> willing to eat -> providing proper […]
COO DCI Quantitative Research (LinkedIn profile)