Applied Survey Methods: A Statistical Perspective (Wiley by Jelke Bethlehem

By Jelke Bethlehem

An entire, hands-on advisor to using statistical tools for acquiring trustworthy and useful survey researchApplied Survey tools offers a accomplished define of the total survey method, from layout to booklet. Filling a spot within the present literature, this different booklet describes either the speculation and sensible functions of survey examine with an emphasis at the statistical elements of survey methods.The booklet starts off with a quick historical evaluate of survey study tools by means of a dialogue that info the wanted first steps for engaging in a survey, together with the definition of a aim inhabitants, the choice of a sampling body, and the description of a questionnaire with a number of examples that come with universal blunders to prevent within the wording of questions. during the e-book, the writer presents an obtainable dialogue at the methodological difficulties which are linked to the survey approach, outlining genuine information and examples whereas additionally supplying perception at the way forward for survey learn. bankruptcy assurance explores some of the points of the survey method and the accompanying numerical recommendations, including:Simple and composite sampling designsEstimatorsData assortment and editingThe caliber of resultsThe non-response problemWeighting changes and methodsDisclosure controlThe ultimate bankruptcy addresses the becoming approval for internet surveys, and the linked methodological difficulties are mentioned, together with recommendations to universal pitfalls. workouts are supplied all through with chosen solutions incorporated on the finish of the publication, whereas a comparable website beneficial properties extra recommendations to routines and a downloadable demo model of the Blaise approach of computer-assisted interviewing. entry to the freely on hand SimSam software program can also be on hand at the similar website and offers readers with the instruments had to simulate samples from finite populations in addition to visualize the results of pattern measurement, non-response, and using various estimation procedures.Applied Survey equipment is a superb ebook for classes on survey learn and non-response in surveys on the upper-undergraduate and graduate degrees. it's also an invaluable reference for training statisticians and survey methodologists who paintings in either executive and personal examine sectors.

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Extra resources for Applied Survey Methods: A Statistical Perspective (Wiley Series in Survey Methodology)

Example text

Employees are invited to complete the questionnaire and to send it back to the management. Explain why this is, or is not, a good way to obtain an estimate of the readership of the newsletter. 5 The second-order inclusion probability is equal to a. The unconditional probability that both the elements are selected in the sample. b. The conditional probability that an element is selected in the sample, given that another element is selected in the sample. c. The unconditional probability that an element is selected in the sample twice.

Samples have to be drawn by means of an objective probability mechanism that guarantees that every element in the population has exactly the same probability of being selected. Such a mechanism will be called a randomizer (see Hemelrijk, 1968). 10 A randomizer is a machine (electronic or mechanical) with the following properties: . . It can be used repeatedly. It has N possible outcomes that are numbered 1, 2, . , N, where N is known. It produces one of the N possible outcomes every time it is activated.

It is sometimes said that questionnaire design is an art and not a skill. Nevertheless, long years of experience have led to a number of useful rules. A number of these rules are described in this chapter. They deal with question texts, question types, and the structure of the questionnaire. Also, some attention is paid to testing a questionnaire. 2 FACTUAL AND NONFACTUAL QUESTIONS Kalton and Schuman (1982) distinguish factual and nonfactual questions. Factual questions are asked to obtain information about facts and behavior.

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