The GIC NORA research team offers to evaluate and analyse both qualitative and quantitative data. The quality of data analysis is ensured by a highly professional team of sociologists coming from the Faculty of Social Studies of Masaryk University.
Qualitative data analysis
Qualitative data analysis is employed with data gained from non-numerical data collections. Such data serve for a deeper undeŕstanding of the theme in question. The data are usually gained from individual interviews, focus groups, documents, reports and other sources.
This type of analysis provides a complex understanding and deeper information about the reality that is investigated. Thus the qualitative analysis helps us to answer questions „How“ and „Why“. In difference from quantitative analysis it focuses on interpretation of meanings, symbols and language of participating people.
The analysis is typically carried out in several subsequent steps. First, it is necessary to get acquainted profoundly with qualitative data. Specification of an analytical focus of selected themes and key questions follows. Identification of similar and consistent categories of behaviours, events, features, problems, topics and comments is conducted. In consequence, we compare contents and interpret groups arisen within one category and between categories.
Quantitative data analysis
In contrast to qualitative data analysis, quantitative analysis is characterised by a reductionist approach with the focus on representativity and numerical expression of results. We obtain data for quantitative analysis above all from standardised questionnaire surveys conducted by us but also gained from data archives and other sources (e.g. internal company data).
The quantitative methodological approach aims to confirm or contradict a statement (hypothesis) through specific methods of statistical analysis. Quantitative analysis enables us to obtain information about what opinion, standpoint, phenomenon is common in the analysed population and what is, on the contrary, not present. It enables us to measure their extent, compare in relation to the characteristics of respondents or compare data results among more subjects (e.g. companies). We obtain these results with the help of descriptive statistics and also advanced statistical methods, e.g. corellation analysis , factor and cluster analysis or regression analysis. We interpret analytical results with the help of gender and sociological theories.
We endeavour to combine both types of approaches – in the data collection, data analysis and interpretation. Only then we can balance weaknesses typical of one method against strengths characteristic of the other method.
Gender analysis completed:
Gender analysis of educational needs of employees in Karlova pekárna, s.r.o.
Carried out for the the company 4Progress s.r.o. within the project Podpora a rozvoj systému vzdělávání zaměstnanců firmy Karlova pekárna s.r.o., November 2013