# Sampling In Quantitative Research

1662 Words 7 Pages
INTRODUCTION; Sampling is an important component of any piece of research because of the significant impact that it can have on the quality of your results/findings. If you are new to sampling, there are a number of key terms and basic principles that act as a foundation to the subject. This article explains these key terms and basic principles. Rather than a comprehensive look at sampling, the article presents the sampling basics that you would need to know if you were an undergraduate or master 's level student about to perform a dissertation (or similar piece of research). It also provides links to other articles within the Sampling Strategy section of this website that you may find useful. Some of the key sampling terms you will come …show more content…
Types of sampling in quantitative researches

The purpose of sampling techniques is to help you select units (e.g., Facebook users) to be included in your sample (e.g., of 500 Facebook users). Broadly speaking, there are two groups of sampling technique: probability sampling and non-probability sampling techniques.

Probability Sampling refers to sampling when the chance of any given individual being selected is known and these individuals are sampled independently of each
The more representative the sample, the more confident the researcher can be that the results can be generalized to the target population.
One of the problems that can occur when selecting a sample from a target population is sampling bias. Sampling bias refers to situations where the sample does not reflect the characteristics of the target population.
Many psychology studies have a biased sample because they have used an opportunity sample that comprises university students as their participants (e.g. Asch).
OK, so you’ve thought up this brilliant psychological study and designed it perfectly. But who are you going to try it out on and how will you select your participants? There are various sampling methods. The one chosen will depend on a number of factors (such as time, money etc.).
CONCLUSION
In conclusion, it can be said that using a sample in research saves mainly on money and time, if a suitable sampling strategy is used, appropriate sample size selected and necessary precautions taken to reduce on sampling and measurement errors, then a sample should yield valid and reliable information. Sampling is based on

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