Presentation on theme: "Collecting Data Sensibly"— Presentation transcript:
1Collecting Data Sensibly How to Avoid BiasthroughRandom Sampling
2The Process of Analyzing Data Planning and Conducting a StudyUnderstand the Nature of the ProblemDecide What to Measure and How to Measure ItCollect the Data Sensibly (use SRS)Summarize the Data & Perform a Preliminary AnalysisDo the Formal Data AnalysisInterpret the Results
3BiasBias results when the tendency of the data collected differs from the actual population in some systematic way.Bias is introduced by the way in which a sample is selected so that increasing the size of the sample does nothing to reduce the bias.
4Types of BiasSelection BiasMeasurement BiasNonresponsive Bias
5Selection BiasSelection Bias is the tendency for samples to differ from the corresponding population as a result of systematic exclusion of some part of the population.Example: Taking a sample of opinion in a community by selecting participants from phone numbers in the local phone book would systematically exclude people who choose to have unlisted numbers, people who do not have phones, and people who have moved into the community since the telephone directory was published.ie: The Literary Digest Poll of 1948
6Measurement BiasMeasurement Bias is the tendency for samples to differ from the corresponding population because the method of observation tends to produce values that differ from the true value.Example: Taking a sample of weights of a type of apple when the scale consistently gives a weigh that is 0.2 ounces high.
7Nonresponsive BiasNonresponse Bias is the tendency for samples to differ from the corresponding population because data is not obtained from all individuals selected for inclusion in the sample..Example: In a study that ask questions of a personal nature, many individuals that are selected might refuse to answer the survey questions. This occurs quite often when the questions are of a highly personal nature or when the individual feels that certain response might prove personally damaging.
9Sampling Frame 01 Alabama 26 Mont 02 Alaska 27 Nebr 03 Arizona 28 Neva A common method of selecting a random sample is to first create a list, called a sampling frame of the individuals in the population. Each item on the list can then be identified by a number, and a table random digits or a random number generator can be used to select the sample.01Alabama26Mont02Alaska27Nebr03Arizona28Neva04Arkansas29New H
10SRS – Simple Random Sampling A Simple Random Sample of size n is a sample that is selected in a way that ensures that every different possible sample of the desired size has the same chance of being selected.This Method Uses:Random Number TableComputer Generator (Random #’s)
11Stratified SamplingA entire population is divided into subpopulations called strata.Stratified sampling entails selecting a separate simple random sample from each of the strata.Example: Teachers in a large urban school district are given tenure by subject. The sample is taken by choosing random samples from each of the tenure areas.
12Systematic SamplingSystematic sampling is a procedure that can be used when it is possible to think of the population of interest as consisting of a list or some other sequential arrangement.Select every 15th item…
13Cluster SamplingA entire population is divided into non- overlapping subgroups called clusters.Cluster sampling entails selecting clusters at random and all individuals in the selected clusters are included in the sample.
14Example of ClustersExample: In a large university, a professor wanting to find out about student attitudes randomly selects a number of classes to survey and he includes all the students in those classes.Note: The ideal situation occurs when it is reasonable to assume that each cluster reflects the general population. If that is not the case or when clusters are small, a large number of clusters must be selected to get a sample that reflects the population.
15Systematic ExampleExample: In a large university, a professor wanting to select a sample of students to determine the student’s age, might take the student directory (an alphabetical list) and randomly choose one of the first 20 students) and then take every 20th student from that point on.
16Convenience SamplingConvenience sampling is using and easily available or convenient group to form a sample.Example: A “voluntary response sample” is often taken by television news programs. Viewers are encouraged to go to a website and “vote” yes or no on some issue. The commentator then would announce the results of the survey.
17Convenience Sampling Bottom Line! DON’T GO THERE , this is a recipe for disaster!