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Methodology of Research and Statistical Techniques




                 Notes          These imprecise populations are not amenable to sampling in any of the ways below and to
                                which we could apply statistical theory.
                                As a remedy, we seek a sampling frame which has the property that we can identify every
                                single element and include any in our sample. The most straightforward type of frame is a list
                                of elements of the population (preferably the entire population) with appropriate contact
                                information. For example, in an opinion poll, possible sampling frames include:
                                •    Electoral register

                                •    Telephone directory
                                Not all frames explicitly list elements of the population. For example, a street map can be used
                                as a frame for a door-to-door survey; although it doesn’t show individual houses, we can
                                select streets from the map and then visit all houses on those streets. (One advantage of such
                                a frame is that it would include people who have recently moved and are not yet on the list
                                frames discussed above.)
                                The sampling frame must be representative of the population and this is a question outside
                                the scope of statistical theory demanding the judgment of experts in the particular subject
                                matter being studied. All the above frames omit some people who will vote at the next election
                                and contain some people who will not; some frames will contain multiple records for the same
                                person. People not in the frame have no prospect of being sampled. Statistical theory tells us
                                about the uncertainties in extrapolating from a sample to the frame. In extrapolating from
                                frame to population, its role is motivational and suggestive.
                                “To the scientist, however, representative sampling is the only justified procedure for choosing
                                individual objects for use as the basis of generalization, and is therefore usually the only
                                acceptable basis for ascertaining truth.” (Andrew A. Marino). It is important to understand
                                this difference to steer clear of confusing prescriptions found in many web pages.
                                In defining the frame, practical, economic, ethical, and technical issues need to be addressed.
                                The need to obtain timely results may prevent extending the frame far into the future.
                                The difficulties can be extreme when the population and frame are disjoint. This is a particular
                                problem in forecasting where inferences about the future are made from historical data. In
                                fact, in 1703, when Jacob Bernoulli proposed to Gottfried Leibniz the possibility of using
                                historical mortality data to predict the probability of early death of a living man, Gottfried
                                Leibniz recognized the problem in replying:
                                “Nature has established patterns originating in the return of events but only for the most part.
                                New illnesses flood the human race, so that no matter how many experiments you have done
                                on corpses, you have not thereby imposed a limit on the nature of events so that in the future
                                they could not vary.”
                                A frame may also provide additional ‘auxiliary information’ about its elements; when this
                                information is related to variables or groups of interest, it may be used to improve survey
                                design. For instance, an electoral register might include name and sex; this information can be
                                used to ensure that a sample taken from that frame covers all demographic categories of
                                interest.




                                  Did u know? The auxiliary information is less explicit; for instance, a telephone number
                                             may provide some information about location.






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