# Sampling Strategy Dissertation

The sample reflects the characteristics of the population from which it is drawn.

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In non-probability sampling, on the other hand, sampling group members are selected on non-random manner, therefore not each population member has a chance to participate in the study.

Non-probability sampling methods include purposive, quota, convenience and snowball sampling methods.

Usually, the population is too large for the researcher to attempt to survey all of its members.

A small, but carefully chosen sample can be used to represent the population.

The following observations need to be taken into account when determining sample size: a) The magnitude of sampling error can be diminished by increasing the sample size.

b) There are greater sample size requirements in survey-based studies than in experimental studies.The e-book explains all stages of the research process starting from the selection of the research area to writing personal reflection.Important elements of dissertations such as research philosophy, research approach, research design, methods of data collection and data analysis are explained in this e-book in simple words. (2003) “Essentials of Marketing Research”, 3rd edition, Prentice Hall [2] Source: Saunders, M., Lewis, P. In probability samples, each member of the population has a known non-zero probability of being selected.Probability methods include random sampling, systematic sampling, and stratified sampling.In probability sampling every member of population has a known chance of participating in the study.Probability sampling methods include simple, stratified systematic, multistage, and cluster sampling methods.The Figure 2 below illustrates specific sampling methods belonging to each category: Figure 2.Categorisation of sampling techniques The following table illustrates brief definitions, advantages and disadvantages of sampling techniques: My e-book, The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step approach contains a detailed, yet simple explanation of sampling methods.c) Large initial sample size has to be provisioned for mailed questionnaires, because the percentage of responses can be as low as 20 to 30 per cent.d) The most important factors in determining the sample size include subject availability and cost factors For example, for the same research of ‘ Sampling methods are broadly divided into two categories: probability and non-probability.

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