Sampling Procedures PDF

Sampling Research 10 Procedure learning targets: 1. Be familiar with the factors affecting sample selection; 2.Enumerate pluses and minuses of some random sampling techniques; and 3.Adopt the most appropriate sampling technique for a chosen research topic. sampling procedure choos...

Sampling Research 10 Procedure learning targets: 1. Be familiar with the factors affecting sample selection; 2.Enumerate pluses and minuses of some random sampling techniques; and 3.Adopt the most appropriate sampling technique for a chosen research topic. sampling procedure choosing the respondents or subjects from a large population to answer your research question. it is expected to speak about the entire population. factors affecting sample selection (Tuckman & Engel, 20212; Babbie, 2013; Edward, 2013) 1. Sample Size 2. Sampling Technique Probability sampling - random selection - gives all population members equal opportunity to be chosen to constitute the sample. - this is unbiased or an accurate manner of selecting the right people to represent the population 3. Heterogeneity of Population - composed of individuals with varied abilities. - have a wide variation among the people composing the population unlike homogeneous population where only one sampling will do. 4. Statistical techniques - the accuracy of the sample depends on how precise or accurate your methods are in calculating the numbers used in measuring the chosen sample or in giving certain value to each of 5. Time and Cost - sampling needs your attention, time, and effort as well as the money that you will spend on your materials. sampling methods 1. Probability Sampling - everybody in the population participates Different probability sampling techniques: a. Simple Random Sampling - choosing of respondents based on pure chance. b. Systematic Sampling - picking out from the list every 5th or every 8th member listed in the sampling frame until the completion of the desired total number of respondents.  Different probability sampling techniques: c. Stratified Sampling - choosing a sample that will later on be subdivided into strata, subgroups, or subsamples during the stage of the data analysis. d. Cluster Sampling - selecting respondents in clusters, rather than in separate individuals such as choosing 5 classes of 40 students each from a whole population of 5000 students sampling methods 2. Non-probability Sampling - succumbs to control, likes, or wishes of the researcher and to restrictions he/she imposed on the sampling procedure. Non-probability techniques: a. Quota Sampling - choosing specific samples that you know correspond to the population in terms of one, two, or more characteristics  Non-probability techniques: b. Voluntary Sampling - selecting people who are very much willing to participate as respondents in the research project. c. Purposive Sampling - choosing respondents whom you have judged as people with good background knowledge or with great enthusiasm about the research d. Availability Sampling - picking out people who are easy to find or locate and willing to establish contact with you.  Non-probability techniques: e. Snowball Sampling - selecting samples from several alternative samples, like drug dependents, human traffickers, street children, and others whose dwelling places are not easily located for they move from place to place.  advantages and disadvantages of the five basic sampling techniques sampling techniques advantages disadvantages mostaccurate; unavailable list of the Random entire population, influenced by prevention or random Sampling chance sampling by practical assures a large sample to considerations can be biased if strata Stratified subdivide on important are given false weights, Sampling variables ;needed when population is too large to list; unless the weighing can be combined with other procedure is used for techniques overall analysis  advantages and disadvantages of the five basic sampling techniques sampling techniques advantages disadvantages similar to random sometimes Systematic sampling; often permits bias Sampling easier than random sampling Cluster easy to collect data prone to bias on the subject when the number Sampling is small  advantages and disadvantages of the five basic sampling techniques sampling techniques advantages disadvantages available when presence of bias Quota random sampling is not controlled by Sampling impossible; quick to the quota system do Thank you....