Chapter 7
This presentation is the property of its rightful owner.
Sponsored Links
1 / 18

Chapter 7 PowerPoint PPT Presentation


  • 58 Views
  • Uploaded on
  • Presentation posted in: General

Chapter 7. The Logic Of Sampling Key Terms. Nonprobability sampling Technique in which samples are selected in a way that is not suggested by probability theory.

Download Presentation

Chapter 7

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Chapter 7

Chapter 7

The Logic Of SamplingKey Terms


Chapter 7

  • Nonprobability samplingTechnique in which samples are selected in a way that is not suggested by probability theory.


Chapter 7

  • Purposive (judgmental) samplingSelecting a sample based on the knowledge of a population, it's elements and the purpose of the study.


Chapter 7

  • Snowball samplingResearcher collects data on members of the target population that can be located, then asks those individuals to provide the information to locate other members.


Chapter 7

  • Quota samplingUnits are selected into a sample on the basis of prespecified characteristics, so the total sample will have the same distribution of characteristics assumed to exist in the population being studied.


Chapter 7

  • Probability samplingSamples are selected in accord with probability theory, typically involving some random selection mechanism.


Chapter 7

  • RepresentativenessQuality of a sample having the same distribution of characteristics as the population from which it was selected.


Chapter 7

  • EPSEMEqual probability of selection method.

  • ElementUnit about which information is collected and that provides the basis of analysis.


Chapter 7

  • PopulationThe theoretically specified aggregation of study elements.

  • Study populationAggregation of elements from which the sample is actually selected.


Chapter 7

  • Random selectionEach element has an equal chance of selection independent of any other event in the selection process.

  • Sampling unitElement or set of elements considered for selection in some stage of sampling.


Chapter 7

  • ParameterSummary description of a given variable in a population.

  • StatisticSummary description of a variable in a sample.


Chapter 7

  • Sampling errorThe degree of error to be expected of a given sample design.

  • Confidence levelExpression of the accuracy of sample statistics.


Chapter 7

  • Confidence intervalRange of values within which a population parameter is estimated to lie.

  • Sampling frameList or quasi list of elements from which a probability sample is selected.


Chapter 7

  • Simple random samplingBasic sampling method assumed in the statistical computations of social research.

  • Systematic samplingEvery kth element in the total list is chosen for inclusion in the sample.


Chapter 7

  • Sampling intervalStandard distance between elements selected in the sample.

  • Sampling ratioProportion of elements in the population that are selected.


Chapter 7

  • StratificationGrouping of units composing a population into homogenous groups before sampling.


Chapter 7

  • Cluster samplingA multistage sampling in which natural groups are sampled initially with the members of each selected group being subsampled afterward.


Chapter 7

  • PPSProbability proportionate to size.

  • WeightingGiving some cases more weight than others.


  • Login