Social enterprises in the EU
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Social enterprises in the EU (IVOR nr. 111) 2018/4.3.3:4.3.3 The analysis of the collected data
Social enterprises in the EU (IVOR nr. 111) 2018/4.3.3
4.3.3 The analysis of the collected data
Documentgegevens:
mr. A. Argyrou, datum 01-02-2018
- Datum
01-02-2018
- Auteur
mr. A. Argyrou
- JCDI
JCDI:ADS584636:1
- Vakgebied(en)
Ondernemingsrecht / Rechtspersonenrecht
Deze functie is alleen te gebruiken als je bent ingelogd.
The collected data from the five questions comprised numerical data collected by the Likert scale questions. Those were analysed using descriptive statistics, i.e. an analysis of the basic features of the provided numerical responses by way of using the ‘mode’ function. In the Likert scale data analysis, the mode function within Microsoft Excel was used. The mode function indicated the most frequent response per stakeholder group (see Table 4.3). Table 4.3 shows that for Question 1, if the most frequent response (Mode) is lesser than 3 points (r < 3), then the input from stakeholders is not used in the decision-making process. A response, which is equivalent to 3 points (r = 3) represents a neutral response. On the contrary, if the most frequent response is greater than 3 points (3 < r) then the input from the stakeholders is used a lot in decision-making. Similarly, in Question 2, if the most frequent response (Mode) is lesser than 3 points (r < 3), then the social enterprise is not transparent with the stakeholder group in question. A response, which is equivalent to 3 points (r = 3), represents a neutral response, whereas if the most frequent response is greater than 3 points (r > 3) then the social enterprise is transparent with the stakeholder group in question.
The data analysis was also supported by a basic visualisation and portrayal of the collected data in tables, which allowed the coding and categorisation of all the digressions, thoughts and perceptions identified in the responses provided in the open space following the Likert scale questions. Using the coding and categorisation techniques, patterns and commonly occurring data-categories were identified in the responses. These were later organised in tables, which enumerated the frequency of each code encountered in the data.