Titlebook: Studying Human Populations; An Advanced Course i Nicholas T. Longford Textbook 2008 Springer-Verlag New York 2008 Analysis.Experiment.causa

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it der ressourcenorientierten Grundhaltung vertraut mache, ernte ich meist spontan Zustimmung. Dass und warum eine solche Haltung für die zu Betreuenden entwicklungsfördernd ist, erscheint den Allermeisten auf Anhieb einleuchtend. Eine Praktikerin drückte es so aus: „Ressourcen sind die Basis jeder

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Sampling Methods,lation. By sampling design, we set the joint probabilities associated with these observations. In Sections 3.7 and 3.7.1, pursuing efficient estimation of population quantities, we bring into play regression and related models, making use of the experience with them in the infinite population setting of Chapters 1 and 2.

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Sampling Methods,vey. Sampling theory treats the values of variables as constants, and chance decides whether or not they are observed for any given member of the population. By sampling design, we set the joint probabilities associated with these observations. In Sections 3.7 and 3.7.1, pursuing efficient estimatio

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Incomplete Data,relevant variables are recorded with precision for each selected unit. A sound principle in conducting studies is to ensure good representation of the relevant population by a planned (deliberate) design, a controlled sampling mechanism, and to collect all the data as planned. This chapter describes

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Imperfect Measurement, not, this is an unrealistic or even patently flawed assumption, but one without which our ability to make inferences would be severely curtailed. This chapter deals with the general problem of imperfect measurement, which includes measurement with error and using a variable that is a substitute for

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Experiments and Observational Studies,nvolved. They tend to incur high expenditure per subject (unit), but have greater potential to collect more information in relatively small samples. In contrast, observational studies involve much less control, their expense per unit tends to be lower, but inferences are more difficult to make, and