Best Sample Size for Dissertations

Survey is now a basic tool in social sciences and in some fields of specialization which reliance is from the take procedures. Little or unacceptable knowledge will be gained if the model size is poorly designed and executed no matter how good the questions are and no matter how impressive the analysis is (Kalton, 1987, p. 4). The of the essence(predicate) question of how to determine the size of the attempt is vital for estimating the parameters (Singh and Chaudhary, 1986, p. 38). Our common sense would suggest that a thumping strain size will be better than a small one since an increase in sample size will decrease the sampling error.This is not always the case because, for example, having a broad sample size with a sampling frame with very similar types of respondents will just be a waste of time. Determining the best sample size will olibanum depend on the compromise of mulish constraints (i. e. money, time, ethical issues) and theoretical considerations. For the simplic ity of analysis, given that there are no practical constraints, the following are the rule of thumb 1. ) If the population is about 50 or less, it is best to sample the whole population 2. If you have to sample a population of 50 or more, then emphasise to sample around 30 and 3. ) If you will be using stratified sampling, aim to have at least five sampling units from each stratum or category (White, 2002, p. 65-66). With the load of work sermon requires researchers can not help but to consider the practical constraints. The credibleness of the study can thus be sacrificed so it must be the goal of the researcher to find ways to maintain credibility while considering constraints.Researcher bias is another issue that may hinder the determination and use of sample size because unless it is a purposive sampling, samples should represent the whole population as much as possible. For example, a bias researcher will decide a sample size that is easy for him to gather and that is panor ama for his/her desired results. There can never be a perfect or right sample size but there is always a best sample size depending on the record of your study and on the given population.