Introduction: For a qualitative study, the data of a questionnaire has to be analyzed and correlations/regressions have to be identified. The questionaire has 120 questions with numberic answers each (1,2,3,4,5; with 5 being the best) over 3 years. The questionnaire was sent to two groups: (1) Academia, (2) business. Max 50 answers in total. Each answer is available in a separate excel sheet. Additionally, every questionnaire has 5 custom fields on financial performance.
Hypthesis: Ethically operating companies are financially more successful. We measure ethical operations along 120 questions with a scale of 1-5 over 3 years. Financial performance is determined by 5 KPIs that are also measured the the same years. What we ideally see is that the 120 questions' score is higher in a particular year when the financial performance is better in the same year.
Research question: 1. Along two groups (academia and companies), can we prove the hypothes? 2. Which of the 120 questions impact the which of the financial KPIs? To which extend?
Tasks (not exclusive): 1. Load all data into a statistical tool (like JASP) and provide access. There will be multiple people working on the same dataset. Note that not all questions or KPIs must be filled out in each and every questionnaire. 2. check every questionnaire and harmonize the financial custom fields to capture year-over-year changes in percent rather than absolut values. Note that some questionnaires dont have full financial data due to confidentiallity reasons. 3. Perform correlation / regression analysis to prove the research question. 4. Have 1-2 checkpoints with me to review ideas and preliminary findings. Ideally via phone or online. 5. Document the findings for further academic use. Make sure findings are traceable.
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