3.0: Conduct small-scale research, information gathering and data collection to generate knowledge to support the project
3.1: Project execution phase:
3.1.2: The 2nd method for information gathering, data collection and material resourcing is SR (Secondary Research) i.e. information / data to support PR questions:
Image supporting Q9. PR
3.1.4: Qualitative and quantitative research methods.
3.1: Project execution phase:
- Selecting appropriate methods of information gathering, data collection and material resourcing.
3.1.1: The 1st method for information gathering, data collection and material resourcing is PR (Primary Research) i.e. Survey Monkey.
Example questions: (Click) hyperlinked - Gender Pay Gap Survey (2019):
Example questions: (Click) hyperlinked - Gender Pay Gap Survey (2019):
- PR Q4: What is the living wage used by the Living Wage Foundation and how is it calculated?
- PR Q9: Do employers have to publish an explanation of their gender pay gap figures?
- PR Q10: Does an employer have to pay holiday pay to its casual workers?
3.1.2: The 2nd method for information gathering, data collection and material resourcing is SR (Secondary Research) i.e. information / data to support PR questions:
Image supporting Q9. PR
Image supporting Q10. PR
3.1.3: The 3rd method for information gathering, data collection and material resourcing is TR (Tertiary Research) i.e. information / data to support PR & SR via case studies or interview (Videos)
- Qualitative data collection tools Table 9:
3.2: Field work:
- Selecting a sample of the consumer market, businesses or individuals (those who meet certain characteristics relevant to the research theme) is used to gather data (qualitative or quantitative).
- Sampling approaches and techniques, including probability and non-probability sampling.
3.3: Ethics, reliability and validity:
- All research should be conducted ethically – how is this achieved and reported?
The general principle
- Research should also be reliable (similar results achieved from a similar sample) and valid (the research should measure what it aimed to measure). Triangulation
- Using data collection tools such as interviews and questionnaires.
- Using analytical techniques such as trend analysis, coding or typologies.