There are various factors to consider when choosing a data collection methods as such the researcher must judiciously select the method methods for his own study keeping in view the following factors. A sample in which every unit has the same probability of selection is called a random sample.
If repetitions are permitted the sample is selected with replacement.
Factors affecting selection of sample design. Manufacturing is one of the key factors which determines product success as it directly refers to product quality and availability. Design for manufacturability dfm determines the process of ensuring optimum production efficiency and quality while taking care of potential product problems in the design phase itself. Availability of scientific information 2.
Subject selection will also vary if you use a cross sectional design which compares two different base groups. A over sized samples and b under sized samples. Cost and effort related to product redesigning process.
This constitutes the most important factor affecting the choice of a particular method. Research design is defined as a framework of methods and techniques chosen by a researcher to combine various components of research in a reasonably logical manner so that the research problem is efficiently handled. Availability of sufficient data 3.
It provides insights about ho. By addressing key issues before and during the design phase the training designer can both increase course effectiveness and speed. Dfm saves on time.
A host of factors influence the design of training. Nature scope and object of enquiry. In this case your research may look at the effects of pollution on the exercise levels of children with asthma compared to children without asthma.
Proper exposure to the data source 5. The method selected should be such that it suits the type of enquiry that is to be conducted by the researcher. The reciprocal of the sampling fraction is called the raising factor.
You want to measure enough people to capture all the variability needed to design your product but you don t want to waste time and money measuring people you don t need. Whether you are using a probability sampling or non probability sampling technique to help you create your sample you will need to decide how large your sample should be i e your sample size. If no repetitions are allowed it is termed as a simple random sample selected without replacement.
Factors affecting research design 1. These range from the conceptual such as a clear definition of training outcomes to the practical such as logistical considerations. Your sample size becomes an ethical issue for two reasons.
Selecting the appropriate sample size is a fundamental step in determining the anthropometric variability in a population so it is important that it is done right. One of the important factor while determining the size of the sample is the number of centers which means on the assumption that they are dealing with one set of the respondents. If the data is analyzed individually for different geographical areas then the minimum size of the sample is necessary for each area or the center.