Excerpt from Error Profile for Multiple-Frame Surveys This report will show that there are several sources of nonsampling error in these surveys. These sources include failure to associate properly reporting unit and sampling unit, and failure to communicate clearly and concisely via the questionnaire, domain determination, estimation, and nonresponse. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Extract: Multiple-frame surveys are susceptible to errors that stem from associating the over-lapping portions of the frames. Decreasing sampling error may improve precision, but it offers greater complications; nonsampling error would increase, leading to decreased accuracy and, perhaps, greater total error. This manuscript offers several procedures to improve consistency and accuracy of multiple-frame estimating by reducing nonsampling errors. Such procedures, when added to an optimum mix of sampling frames, would provide survey indications of greater reliability without increasing costs appreciably.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Scientists share their experience making surveys of large parts of the sky in the various wavelengths of radio, infrared, optical, and x-ray passbands, and using the mosaic cameras with high throughput digital detectors that are expected to come on line in the next few years for optical, infrared, and ultraviolet surveys. Some 120 papers cover reviews of general sky surveys, specific survey projects, the interstellar medium, galactic structure, extra-galactic astronomy, large-scale structure, data processing techniques, catalogues, multi-wavelength cross identification, and databases. Resolutions generated by the conference are also listed and discussed. No subject index. Annotation copyrighted by Book News, Inc., Portland, OR

A welcome and much-needed addition to the literature on survey data quality in social research, McNabb’s book examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse 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 nonsampling error. Most importantly, it gives readers the tools they need to understand, identify, address, and prevent the most prevalent and difficult-to-control types of survey errors.

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

The Bureau of Justice Statistics' (BJS) National Crime Victimization Survey (NCVS) measures the rates at which Americans are victims of crimes, including rape and sexual assault, but there is concern that rape and sexual assault are undercounted on this survey. BJS asked the National Research Council to investigate this issue and recommend best practices for measuring rape and sexual assault on their household surveys. Estimating the Incidence of Rape and Sexual Assault concludes that it is likely that the NCVS is undercounting rape and sexual assault. The most accurate counts of rape and sexual assault cannot be achieved without measuring them separately from other victimizations, the report says. It recommends that BJS develop a separate survey for measuring rape and sexual assault. The new survey should more precisely define ambiguous words such as "rape," give more privacy to respondents, and take other steps that would improve the accuracy of responses. Estimating the Incidence of Rape and Sexual Assault takes a fresh look at the problem of measuring incidents of rape and sexual assault from the criminal justice perspective. This report examines issues such as the legal definitions in use by the states for these crimes, best methods for representing the definitions in survey instruments so that their meaning is clear to respondents, and best methods for obtaining as complete reporting as possible of these crimes in surveys, including methods whereby respondents may report anonymously. Rape and sexual assault are among the most injurious crimes a person can inflict on another. The effects are devastating, extending beyond the initial victimization to consequences such as unwanted pregnancy, sexually transmitted infections, sleep and eating disorders, and other emotional and physical problems. Understanding the frequency and context under which rape and sexual assault are committed is vital in directing resources for law enforcement and support for victims. These data can influence public health and mental health policies and help identify interventions that will reduce the risk of future attacks. Sadly, accurate information about the extent of sexual assault and rape is difficult to obtain because most of these crimes go unreported to police. Estimating the Incidence of Rape and Sexual Assault focuses on methodology and vehicles used to measure rape and sexual assaults, reviews potential sources of error within the NCVS survey, and assesses the training and monitoring of interviewers in an effort to improve reporting of these crimes.