Non-Probability sampling methods Author: Nick Sanyal Last modified by: Nick Sanyal Created Date: 9/18/2007 2:54:39 PM Document presentation format: On-screen Show (4:3) Other titles: Now customize the name of a clipboard to store your clips. See our Privacy Policy and User Agreement for details. Abdul Shafwan T H We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. See our Privacy Policy and User Agreement for details. SOME TERMS TO REMEMBER . See our User Agreement and Privacy Policy. Prepared by; N O N P R O B A B I L I T Y S A M P L I N G Danilo C. Olaer, Jr., R.N. As of this date, Scribd will manage your SlideShare account and any content you may have on SlideShare, and Scribd's General Terms of Use and Privacy Policy will apply. Scribd will begin operating the SlideShare business on December 1, 2020 See our User Agreement and Privacy Policy. This sampling method depends heavily on the expertise of the researchers. If you continue browsing the site, you agree to the use of cookies on this website. One of the most noteworthy features of the method of nonprobability sampling, also known as nonrandom sampling, is that there isn't any specific probability that any given person will be in the sample set. Learn more. 2nd M.A IR&PS You can change your ad preferences anytime. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Sampling The process of selecting a portion of the population to represent the entire population. Probability versus Nonprobability Probability Samples: each member of the population has a known non-zero probability of being selected Methods include random sampling, systematic sampling, and stratified sampling. If you continue browsing the site, you agree to the use of cookies on this website. – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 3ed6da-NjgwO Non-probability sampling in social science. When you want to do more than simply make inferences about a population! Non-probability sampling Unequal chance of being included in the sample (non-random) Non random or non - probability sampling refers to the sampling process in which, the samples are selected for a specific purpose with a pre-determined basis of selection. Now customize the name of a clipboard to store your clips. . Graduate Student. You can change your ad preferences anytime. Clipping is a handy way to collect important slides you want to go back to later. Graduate Student 2. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. 1. If you continue browsing the site, you agree to the use of cookies on this website. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Nonprobability Sampling 1. Looks like you’ve clipped this slide to already. 1. N O N P R O B A B I L I T Y S A M P L I N G Danilo C. Olaer, Jr., R.N. Non-probability sampling 5. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Nonprobability Sampling . Scribd will begin operating the SlideShare business on December 1, 2020 If you wish to opt out, please close your SlideShare account. Definition: Non-probability sampling is defined as a sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. As of this date, Scribd will manage your SlideShare account and any content you may have on SlideShare, and Scribd's General Terms of Use and Privacy Policy will apply. If you wish to opt out, please close your SlideShare account. If you continue browsing the site, you agree to the use of cookies on this website. . Non-Probability sampling methods. Conclusion. Element Sample The entire aggregation of cases in which a researcher is interested. It is a less stringent method. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. While probability sampling is based on the principle of randomization where every entity gets a fair chance to be a part of the sample, non-probability sampling relies on the assumption that the characteristics are evenly distributed within the population, which make the sampler believe that any sample so selected would represent the whole population and the results drawn would … Looks like you’ve clipped this slide to already. * Probability sampling includes: Simple Random Sampling, Systematic Sampling, Stratified Random Sampling, Cluster Sampling Multistage Sampling. Sampling techniques Systematic & Purposive sampling, Sampling techniques: Systematic & Purposive Sampling, Sampling methods- Random, Systematic and Snowball, No public clipboards found for this slide. Clipping is a handy way to collect important slides you want to go back to later. What is non-probability sampling? Central University of Kerala. In other words, you don't know which person from a population will be chosen for the sample. Sampling techniques: Systematic & Purposive Sampling, Sampling techniques Systematic & Purposive sampling, No public clipboards found for this slide. Learn more.
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