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Written with the needs and goals of a novice researcher in mind, this fully updated Third Edition provides an accurate account of how modern surveys are actually designed and conducted. Much more than a “how-to” guide, this up-to-date and accessible book presents the material in a social science context and teaches readers to think through decisions about sample design, questionnaire development, and data collection, rather than simply following prescriptive advice that may not be appropriate to particular practical situations. In addition to providing examples of alternative procedures, Designing Surveys shows how classic principles and recent research guide decision-making—from setting the basic features of the survey design to implementing instrument development, testing, and data collection. The new edition covers new developments in data collection technologies, provides a more comprehensive treatment of questionnaire development and pretesting, and includes completely new chapters on sample design and selection.
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"This book covers all aspects of environmental trace analysis from sampling through to preparation of the sample to the analytical techniques used to quantify the level of trace metals or organic compounds. The book is divided into two areas: sample preparation for inorganic analysis and sample preparation for organic analysis. This allows the reader to focus on key aspects related to the preparation of samples for their subsequent analysis. Selected case studies provide the reader with the opportunity to consider how the sample preparation approach can be optimized for their own area of expertise"--
Environmental chemistry --- Sampling --- Trace analysis --- Methodology
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Digital systems. --- Random sampling. --- Reverberation chambers. --- Safety. --- Sampling. --- Simulation. --- Statistical distributions.
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Written with the needs and goals of a novice researcher in mind, this fully updated third edition provides an accurate account of how modern survey research is actually conducted. In addition to providing examples of alternative procedures, Designing Surveys shows how classic principles and recent research guide decision-making from setting the basic features of the survey through development, testing, and data collection.
Methods in social research (general) --- Sampling (Statistics). --- Surveys. --- #SBIB:303H32 --- Surveys --- Sampling (Statistics) --- Random sampling --- Statistics of sampling --- Statistics --- Mathematical statistics --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Government surveys --- Mathematical geography
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Lead --- Air quality management --- Air --- Sampling --- Methodology. --- Pollution --- Standards
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Groundwater --- Water quality management --- Water-supply --- Sampling --- United States. --- California
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Jason Gibson finishes his explanation of estimating population means. He discusses how the confidence interval of the data is affected by the sample size of the study. He also provides an example problem to clarify this topic.
Population research. --- Population --- Sampling (Statistics) --- Analysis of means. --- Statistical methods.
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Jason Gibson demonstrates two more confidence-interval exercises with large sample levels, including one without an accompanying story.
Population research. --- Population --- Sampling (Statistics) --- Analysis of means. --- Statistical methods.
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McNabb's book examines the most common sources of non-sampling error: frame error; measurement error; response error, non-response error, and interviewer error. Offering the only comprehensive and non-technical treatment available, the book's focus on controlling error shows readers how to eliminate the opportunity for error to occur, and features revealing examples of past and current efforts to control the incidence and effects of non-sampling error.
Social surveys --- Sampling (Statistics) --- Social sciences --- Methodology. --- Statistical methods.
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