Here is the synopsis of our sample research paper on Generalizability In Research. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
A 3 page paper that explains and discusses generalizablity of research results and the different kinds of sampling procedures. Bibliography lists 2 sources.
Page Count:
3 pages (~225 words per page)
File: ME12_PG692502.doc
Buy This Term Paper »
 
Unformatted sample text from the term paper:
the entire population based on the results of the research study. The subgroup on which the study is conducted is referred to as the sample. Researchers must collect an
adequate amount of information in order to make a generalization. They test a hypothesis in the study and if the hypothesis is supported by the data, they are allowed to
make a generalization to the wider population (Colorado State University, 2011). Generalizations are not considered to be conclusive or exhaustive because it is based on probability (Colorado State University, 2011).
In this way, most experiments do not prove anything but they do indicate whatever the results are. Experimental research that results in generalizations must be rigid in its design
and execution. Certain steps must always be followed and they must be followed accurately and honestly. There are three types of generalizablity and research studies are strongest when all
three exist. One type of generalizablity determines if the treatment being tested in the study will have the same results in different circumstance (Colorado State University, 2011). This would mean
the results are both flexible and adaptable. The second type is about the measurements used instead of the treatments and asks whether or not it will lead to the same
results if a different type of measurement is used (Colorado State University, 2011). The third type has to do with the subjects or the sample population and whether the results
would hold true with a similar but different group of people (Colorado State University, 2011). It is essential that sample or subset of the population in the experiment are selected
appropriately. The sample must really represent the larger population. There are two types of samples: probability samples and convenience or non-probability samples. Probability samples include all the characteristics of the
...