1. Evidence Based Practice & Research in Nursing
University of Tabuk
Faculty of Applied Medical Sciences Department of Nursing
Evidence Based Practice & Research in Nursing
Level 8, Academic Year (AY) 1434—1435 H
Dr. Jay Qais Ablao

2. Population and Sampling Procedure

3. SAMPLING
Selecting a given number of persons, objects or events called subset from a given population by a specified selection process (Cooper,2003).

4. Advantages of Sampling
Makes possible the study of a large, heterogenous group
For economy
For speed
Accuracy
Saves the sources of data
Department of Nursing

5. Disadvantages of Sampling
If sampling is biased, or too small the conclusion may not be valid and reliable
The respondents must have a common characteristics which is the basis of the study.
If the population is very large and there are many sections and subsections, sampling procedure becomes very complicated.
If the researcher lacks necessary skills and know how in sampling procedure, sampling may become biased
Department of Nursing

7. Sloven Formula n= N 1+ Ne² where: n=number of samples N=population
e=sampling error (1%-10%)

8. GENERAL TYPES OF SAMPLING
PROBABILITY
NON-PROBABILITY
The sample is a proportion of the population and such sample is selected from the population by means of some way in which every element of the population has a chance of being included in the sample.
The sample is not a proportion of the population and there is no system in selecting the sample. The selection depends upon the situation.

9. NON – PROBABILITY SAMPLING
Accidental or Convenient Sampling
Respondents are selected because of their convenient accessibility.
Quota Sampling
Sampling in which the researcher selects respondents according to some fixed quota.
Purposive or Judgment Sampling
Subjects are chosen because of their specific characteristics
Snowball Sampling
Respondents are chosen based on referral
Department of Nursing

10. Non-Probability Advantages - Convenient - Economical Disadvantages
- Biased samples
- Some elements may have no chance to be included in the study

11. Department of Nursing Simple Random Sampling
Randomly or by chance selecting sample from the population.
Stratified Random Sampling
Dividing the population into strata based from important categories relevant to the research interest.
Cluster Sampling
Used in natural grouping
The entire population is divided into groups, or clusters, and a random sample of these clusters are selected. All observations in the selected clusters are included in the sample.
- Researcher chooses every nth
Sequential or Systematic Sampling
Department of Nursing

12. Probability Advantages - Less bias
- Every element has equal chance to be selected
Disadvantages
- Time consuming
- Expensive
- Inconvenient
- Impossible to obtain

13. Curriculum & Course Development Committee
References
Sherman, R. O. & Eggenberger, T. (2008). Transitioning internationally recruited nurses into clinical settings. Journal of Continuing Education in Nursing, 39(12),
Tombaugh, J. Mayfield, C., & Durand, R. (2011). Spiritual expression at work: exploring the active voice of workplace spirituality. Retrieved from
DEPARTMENT OF NURSING
Curriculum & Course Development Committee
Department of Nursing