SAMPLING

SAMPLING

1. PROBABILITY

   • SIMPLE RANDOM SAMPLING
     • Sample that has been chosen randomly. This is used yo avoid unwanted effects.
   • SYSTEMATIC RANDOM SAMPLING
     • Sample that is frequently chosen by researchers for its simplicity and its periodic quality. The smpling as yo be randomly pick by the first item from the population. Then, the researcher will select each n'th subject from the list.
   • STRARIFIED RANDOM SAMPLING
     • Sampling method the uses the division of a population into smaller groups (strata). that are formed based on members' shared attributes or characteristics.
   • CLUSTER RANDOM SAMPLING
     • the researcher takes several steps in gathering his sample population.. the researcher selects groups or clusters, and then from each cluster, the researcher selects the individual subjects by either simple random or systematic random sampling. The researcher can even opt to include the entire cluster and not just a subset from it.
       • One-Stage Cluster Sample Recall the example given above; one-stage cluster sample occurs when the researcher includes all the high school students from all the randomly selected clusters as sample.
       • Two-Stage Cluster Sample From the same example above, two-stage cluster sample is obtained when the researcher only selects a number of students from each cluster by using simple or systematic random sampling.

2. NON PROBABILITY

   • QUOTA SAMPLING
     • Representative individuals are chosen out of a specific subgroup. For example, a researcher might ask for a sample of 100 females, or 100 individuals between the ages of 20-30
   • CONVENIENCE SAMPLING
     • the first available primary data source will be used for the research without additional requirements.

3. ITZIAR IBARRA A01066643 ALEJANDRA PAZ A01066683 CARINA VILLIVAÑA A01066702