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By Jelke Bethlehem
1. The survey method -- 2. easy thoughts -- three. Questionnaire layout -- four. unmarried sampling designs -- five. Composite sampling designs -- 6. Estimators -- 7. info assortment -- eight. the standard of the consequences -- nine. The nonresponse challenge -- 10. Weighting adjustment -- eleven. on-line surveys -- 12. research and book -- thirteen. Statistical disclosure regulate
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Additional info for Applied survey methods : a statistical perspective
For reasons of simplicity, it is assumed that there is only one target variable Y in the survey. Of course, many surveys will have more than just one. Other variables than just the target variables will usually be measured in a survey. At ﬁrst sight, they may seem unrelated to the objectives of the survey. These variables are called auxiliary variables. They often measure background characteristics of the elements. Examples for a survey among persons could be gender, age, marital status, and region.
9) Good enough for a particular purpose. Any sample that shows that a phenomenon thought to be very rare or absent occurs with some frequency will do. 24 BASIC CONCEPTS Due to the many different meanings the term “representative” can have, it is recommended not to use it in practice unless it is made clear what is meant by it. In this book, the term “representative” is used only in one way: a sample is said to be representative with respect to a variable if its relative distribution in the sample is equal to its relative distribution in the population.
The values of these variables will be used to estimate a set of relevant population parameters. Together, the values of these parameters should provide sufﬁcient insight. Questions must be deﬁned to obtain the values of the variables. Together, these questions make up the questionnaire. So, the questionnaire is a measuring instrument. However, it is not a perfect measuring instrument. A measuring scale can be used for determining someone’s length, and the weight of a person can be determined by a weighing scale.
Applied survey methods : a statistical perspective by Jelke Bethlehem