Preview

Data Collection Methods and Sampling Methods

Good Essays
Open Document
Open Document
1141 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Data Collection Methods and Sampling Methods
Cluster Sampling
Cluster sampling, also called block sampling. In cluster sampling, the population that is being sampled is divided into groups called clusters. Instead of these subgroups being homogeneous based on selected criteria as in stratified sampling, a cluster is as heterogeneous as possible to matching the population. A random sample is then taken from within one or more selected clusters. For example, if an organization has 30 small projects currently under development, an auditor looking for compliance to the coding standard might use cluster sampling to randomly select 4 of those projects as representatives for the audit and then randomly sample code modules for auditing from just those 4 projects. Cluster sampling can tell us a lot about that particular cluster, but unless the clusters are selected randomly and a lot of clusters are sampled, generalizations cannot always be made about the entire population. For example, random sampling from all the source code modules written during the previous week, or all the modules in a particular subsystem, or all modules written in a particular language may cause biases to enter the sample that would not allow statistically valid generalization.

Advantages ü There is no need to have a sampling frame for the whole population. ü usually less costly comparing to random sampling such as stratified ü researcher can increase sample size with this technique
Disadvantages
ü Selection may be biased since the sampling is not random ü Technique is the least representative of the population ü This is also probability sampling with a possibility of high sampling error
Quota Sampling
In quota sampling, the population is first segmented into mutually exclusive sub-groups, just as in stratified sampling. Then judgment is used to select the subjects or units from each segment based on a specified proportion. For example, an interviewer may be told to sample 200 females and 300 males between the age of 45 and 60.



Bibliography: David S. Moore and George P. McCabe (February 2005). "Introduction to the practice of statistics" (5th edition). W.H. Freeman & Company. Freedman, David; Pisani, Robert; Purves, Roger (2007). Statistics (4th ed.). New York: Norton[->0]. www.wikipedia.org/wiki/Data_collection [->0] - http://en.wikipedia.org/wiki/W._W._Norton_%26_Company

You May Also Find These Documents Helpful

  • Better Essays

    References: Benson, P. G., McClave, J. T., & Sincich, T. (2011). Statistics for Business and Economics (11th ed.). Boston, MA: Prentice Hall.…

    • 1859 Words
    • 8 Pages
    Better Essays
  • Satisfactory Essays

    Cafs irp

    • 440 Words
    • 2 Pages

    Sampling is that part of statistical practice concerned with the selection of an unbiased or random subset of individual observations…

    • 440 Words
    • 2 Pages
    Satisfactory Essays
  • Satisfactory Essays

    dq 1 module one

    • 585 Words
    • 2 Pages

    Sampling is a sub collection of subjects in a population, for a specific study. There were five techniques discussed in the “visual learner: statistics” four were probability techniques and one was nonprobability.…

    • 585 Words
    • 2 Pages
    Satisfactory Essays
  • Better Essays

    References: Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic statistics for business and economics (7th ed.). New York, NY: McGraw-Hill/Irwin.…

    • 2042 Words
    • 9 Pages
    Better Essays
  • Good Essays

    The purpose of sampling is that if a researcher decides to research a group, a group can be very large that the information obtained may not be completely accurate. A researcher can get better information by breaking down the groups into smaller groups and researching them (Monette, 2011). An example of sampling in this case is the large group would be people with PTSD and it can be broken down smaller like researching veterans with PTSD. By breaking the group down for sampling, the data can be obtained more quickly and it is a feasible way of collection. There are types of sampling called probability and nonprobability.…

    • 908 Words
    • 3 Pages
    Good Essays
  • Good Essays

    Simple Random Sampling

    • 1351 Words
    • 6 Pages

    Stratified Random Sampling: Divide the population into "strata". There can be any number of these. Then choose a simple random sample from each stratum. Combine those into the overall sample. That is a stratified random sample. (Example: Church A has 600 women and 400 women as members. One way to get a stratified random sample of size 30 is to take a SRS of 18 women from the 600 women and another SRS of 12 men from the 400 men.)…

    • 1351 Words
    • 6 Pages
    Good Essays
  • Good Essays

    Set3 1

    • 842 Words
    • 7 Pages

    A sampling procedure that assures each element in the population of an equal chance of being included in the sample is called:…

    • 842 Words
    • 7 Pages
    Good Essays
  • Good Essays

    Amu Quiz 1- Math 302

    • 1504 Words
    • 7 Pages

    What type of sampling is being employed if the population is divided into economic classes and…

    • 1504 Words
    • 7 Pages
    Good Essays
  • Good Essays

    External Validity

    • 910 Words
    • 4 Pages

    • to describe stages in the process of sampling, and the possible intrusion of ‘bias’…

    • 910 Words
    • 4 Pages
    Good Essays
  • Good Essays

    Misleading Graphs

    • 590 Words
    • 3 Pages

    References: Bluman, A. G. (2009). Elementary statistics: A step by step approach, (7th ed.). New York, NY: McGraw-Hill. Retrieved from University of Phoenix e-Book collection.…

    • 590 Words
    • 3 Pages
    Good Essays
  • Good Essays

    The purpose of sampling is to study a part of a whole group been studied. According to Monette, Sullivan, & DeJong, 2011, some groups are just two big and sampling allows the study of a workable number of cases from the large group to derive findings that are relevant to all members of the group (Chapter 6, The Purpose of Sampling). One example of probability sample is Simple Random Sampling (SRS), such as trying to do a research project that calls for a national sample of 2,000 households. SRS is considered the basic sampling procedure on which statistical theory is based. (Monette, Sullivan, & DeJong, 2011). An example of nonprobability sample is Ronald Feldman and Timothy Caplinger (1977) that were interested in factors that bring about behavior changes…

    • 1100 Words
    • 4 Pages
    Good Essays
  • Good Essays

    Wienclaw, R. A. (2008). Theoretical Statistics. In , Theoretical Statistics -- Research Starters Business (p. 1). Great Neck Publishing. Retrieved from EBSCOhost.…

    • 888 Words
    • 4 Pages
    Good Essays
  • Satisfactory Essays

    WorlDSTARRHIPHOP

    • 822 Words
    • 5 Pages

    Sample: The protion of any population that is selected for study and from which generalization are made about the larger population…

    • 822 Words
    • 5 Pages
    Satisfactory Essays
  • Better Essays

    Bp Products

    • 1088 Words
    • 5 Pages

    References: Lind, D.A., Marchal, W.G., & Wathen, S.A. (2011). Basic statistics for business and economics (7th ed.). Retrieved from The University of Phoenix eBook Collection database…

    • 1088 Words
    • 5 Pages
    Better Essays
  • Powerful Essays

    Kendall, M. and A. Stuart (1973). The Advanced Theory of Statistics (3 ed.), Volume 2. Gri¢ n.…

    • 14782 Words
    • 60 Pages
    Powerful Essays

Related Topics