Introduction
For the realization of the objectives of the study, procedures and data collection has to be done in a precise manner that will help the researcher achieve their goals easily. They include; data collection instruments, research design and data analysis techniques.
Research design
This study will employ the case study research design for a holistic analysis and description of a single entity. A case study research design is ideally suitable to describe and explain rather than predict a phenomenon. A case study research design will therefore enable the researcher to use smaller samples for an in-depth analysis of the study (Reisman, Gienapp, & Stachowiak, n.d.).
Sampling technique
This study will employ Stratified sampling technique. This is a technique that identifies sub-groups in the population and their proportions and select from each sub-group to form a sample. Stratified sampling will therefore be used to ensure that the target population is divided into different homogenous strata and that each stratum is represented in the sample in a proportion equivalent to its size in the accessible population (Reisman, Gienapp, & Stachowiak, n.d.).
Data Collection
Instrumentation
This study will use questionnaire and interviews. This has been guided by the nature of data to be collected, the time available as well as the objectives of the study. The researcher is mainly concerned with views
Data Analysis
Data analysis is essential for the researcher to be able to understand the study as well as be able to assign meaning to the produced statistics. An analysis of the collected data will be done so as to know the patterns of behaviors and their particular outcomes. Both quantitative and qualitative techniques will be used in the data analysis process (Reisman, Gienapp, & Stachowiak, n.d.).
Reference:
Reisman, J., Gienapp, A. & Stachowiak, S. (n.d.). A Handbook of Data Collection Tools: Companion To “A Guide To Measuring Advocacy And Policy” A Handbook For Data Collection Tools, 1-45.
