please use this author in most all the definition (saunders et al, 2012) you can have a look at the previous research chapter3 in form of a picture.
3.2 RESEARCH PHILOSOPHY
philosophy be based on interpretivism
3.3 RESEARCH APPROACH
inductive is the research approach
3.4 TYPE OF DATA
The research philosophy be based on interpretivism, inductive is the research approach and the type of data used in order to answer the research question was qualitative. This research also considered interviews data collection however, it is not approved by the company.
3.5 RESEARCH STRATEGY – CASE STUDY
The research strategy will be case study
3.6 DATA COLLECTION METHOD
The data collection will be based on primary resources collection due to the magnitude and prestige of the organisation. Question will be held with some of the company works that kindly accepted to cooperate for the study propose to completed the form. And also give reason why researcher chose this data collection method (the reason the researcher chose is method is because An inexpensive method that is useful where literacy rates are high and respondents are co-operative and also the researcher couldn’t have asses to interview)
Survey Sample Method to be use on this study is Non-Probability Samples, non-probability sampling is one of provides range of alternative techniques for survey sampling. give reason why researcher chose this sampling method.
3.7 DESIGN OF DATA COLLECTION
The design of the questions was based on the design framework develop by the researcher (I will send you the questions through email)
3.8 DATA ANALYSIS
A second, more recent, approach to qualitative analysis is gaining popularity in health – related research, namely Framework Analysis (Ritchie and Spencer, 1994). In contrast to grounded theory, Framework Analysis was explicitly developed in the context of applied policy research. Applied research aims to meet specific information needs and provide outcomes or recommendations, often within a short timescale.
Framework Analysis has 5 key stages (PLEASE JUST DEFIND THEM)
· Step 1. Get to know your data.
· Step 2. Focus the analysis.
· Step 3. Categorize information
· Step 4. Identify patterns within and between categories.
· Step 5. Interpretation – bringing It all together (Renner, M. 2003)
3.9 RESEARCH VALIDITY
3.10 RESEARCH RELIABILITY
3.11 ETHICAL CONSIDERATION
3.12 CONCLUSION OF THE CHAPTER