Hi,
I am using a scale to test on a population of 1,000, but I have re-worded some of the questions to make them simpler, and I will need to have these translated into Spanish. I would like to pilot test the questionnaire before administering it to my sample, and I understand best practices would be to administer the re-worded questions with the original scale, and test for reliability and validity. I am concerned about using the recommended 100 (10%) of my participants on my population, as I know that I cannot use the pilot data with the final data. Can I use a representative sample to do the pilot testing, or do I have to use the same sample?
Thank you for any thoughts on any of this process...
If you can get a sample that bears the distinctive characteristics of your actual sample for the pilot study, it would be best since you don't want to risk the 10% pilot data from a section of your actual sample in the final data analysis. Best regards
You should study the book of statistics well, how to take a sample that is representative of the community.
Hi
1. Possible with one condition .
2. Research studies are usually carried out on sample of subjects rather than whole populations. The most challenging aspect of fieldwork is drawing a random sample from the target population to which the results of the study would be generalized. The key to a good sample is that it has to be typical of the population from which it is drawn. When the information from a sample is not typical of that in the population in a systematic way, we say that error has occurred. In actual practice, the task is so difficult that several types of errors, i.e. sampling error, non-sampling error, Response error, Processing error,… In addition, the most important error is the Sampling error, which is statistically defined as the error caused by observing a sample instead of the whole population. The underlying principle that must be followed if we are to have any hope of making inferences from a sample to a population is that the sample be representative of that population. A key way of achieving this is through the use of “randomization”.
3. The following papers are good examples for your questions, because both are based on pilot study and the samples came from the target population.
1- A. M. Al-Sarmi and Z. A. Al-Hemyari (2014). Quantitative and qualitative indicators to assess
the performance of higher education institutions. Int. J. of Information and Decision sciences,
Vol.6, No. 4, pp.369-392 (Inderscience).
2- Z. A. Al-Hemyari and A. M. Al-Sarmi (2014). Statistical characteristics of performance indicators. Int. J. of Quality and Innovation. Vol.2, No.3-4, pp. 385-309 (Inderscience).
Regards,
Thank you so much for your thorough response! I will absolutely read these resources.
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