Population Sampling Methods Yesenia VillarVillalobos IS 280 111209

Population Sampling Methods Yesenia Villar-Villalobos IS 280 11/12/09 Prof. Richardson

Defining a Population l “A population must be specific enough to provide readers a clear understanding of the applicability of your study to their particular situation and their understanding of that same population” (Dale, 2006)

How important is validity and reliability? Type of Sampling Methods Probability Nonprobability

Probability Sampling l “Gives all members of the population a known chance of being selected for inclusion in the sample and this does not depend upon previous events in the selection process” (Birchall, 2009) l Probability Sampling: – – Simple Random Systematic Stratified Cluster

Simple Random Sampling l l Define the population Determine percentage to be interviewed or studied Each individual has an equal chance of selection Random sample becomes representative of the larger whole

Systematic Sampling l l Every nth element from a list (sample interval) List must be in random order

Stratified Sampling l Classify the population in sub-populations (strata) based on well-known characteristics – l l Ex: Age, gender, socioeconomic status, etc. Randomly chose a sample from subpopulations Either proportional or disproportional

Cluster Sampling l l Randomly select groups (strata) rather than individuals Multi-stage sampling Useful when no elements within a population is available Final sample may not be representative of the population

Nonprobability Sampling l “Members are selected from the population in some nonrandom manner” (Barreiro, 2009) ● Nonprobabilty Sampling: – Convenience – Purposive – Quota

Convenience Sampling l l Exploratory research Inexpensive approximation – l Ex: preliminary research efforts to attain a gross estimate Saves time and money

Purposive Sampling l “The person who is selecting the sample is who tries to make the sample representative, depending on his opinion or purpose, thus being the representation subject” (Barreiro, 2009) l Subjective judgment (Judgment Sampling) l Requires researcher confidence that the sample truly represents an entire population

Quota Sampling l Nonprobability equivalent of stratified sampling l Convenience or judgment sampling to fill quota from specific sub-groups of a population – l Ex: Interviewer is instructed to interview 50 males between the ages of 18 -25 Useful when: – Time is limited – Money restraints – Detailed accuracy is not important

Calculating a Sample Size l Rule of thumb: “the larger the sample size, the more closely your sample data will match that from the population” (Birchall, 2009) l Key factors to consider: – – – How accurate you wish to be How confident you are in the results What budget you have available

Sample Size Calculators l http: //www. surveysystem. com/sscalc. htm l http: //www. ezsurvey. com/samplesize. html l http: //www. macorr. com/ss_calculator. htm

References l l Barriero, P. L. and Albandoz, J. P, “Population and sample. Sampling techniques, ” http: //optimierung. mathematik. unikl. de/mamaeusch/veroeffentlichungen/ver_texte/sampling _en. pdf. Birchall, Joanne, “Sampling and Samples, ” http: //www. market researchworld. net/index. php? option=com_content&task=view&i d=23&Itemid=41. Dale, Dennis, “Population Sampling Methods for Research Studies: Definitions and Uses, ” http: //www. associatedcontent. com/article/28368/population_sampling_methods_for_research. html. Stat. Pac Inc. , “Sampling Methods, ” http: //www. statpac. com/ surveys/sampling. htm.