Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research and sampling choices. The style is concise and narrative; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it very approachable for any researcher.

Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.

Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

In a clear, readable style, this timely volume provides the information needed to design and execute audit samples for the appraisal, evaluation, and validation of financial and accounting data. With this material, auditors and analysts can accomplish such required functions as evaluating program performance and determining the reliability of financial records and statements more quickly and accurately. Designed as a practical, reliable, on-the-job reference -- with a minimum of statistical theory and formulas -- Practical Statistical Sampling for Auditors blends statistical sampling with other acceptable auditing techniques ... emphasizes the significance of error analysis and audit appraisal ... examines audit and statistical stratification ... advocates the use of minimum samples ... emphasizes the use of replication to support audit decisions ... and outlines the advantages and limitations of various audit sampling schemes. Further, Practical Statistical Sampling for Auditors offers such handy features as chapter summaries, computer printouts, real-life examples, a time-saving table of minimum sample sizes, an easy-to-use glossary, a detailed index, and numerous literature citations, helping auditors; accountants; program, budget, and management analysts; comptrollers; and financial managers to apply statistical methods in consonance with Auditing Standards. Book jacket.

New to the second edition: A section on Acceptance-on-Zero plans, additional screenshots from the newly-designed SQCOnline.com with several new calculators, and improved book design for enhanced readability. Practical Acceptance Sampling is a hands-on introduction to the inspection of products and services for quality assurance using statistically-based sampling plans. In today’s era of global supply chains, the path from raw materials to final product often takes place over multiple companies and across multiple continents. Acceptance sampling is key in the 21st century environment. Acceptance sampling plans provide criteria and decision rules for determining whether to accept or reject a batch based on a sample. They are therefore widely used by manufacturers, suppliers, contractors and subcontractors, and service providers in a wide range of industries. The book introduces readers to the most popular sampling plans, including Military Standards and civilian ISO and ANSI/ASQC/BS standards. It covers the design, choice and performance evaluation of different types of plans, including single- and double-stage plans, rectifying and non-rectifying plans, plans for pass/fail and continuous measurements, continuous sampling plans, and more. Practical Acceptance Sampling is suitable for courses on quality control and for quality practitioners with basic knowledge of statistics. It offers clear explanations, examples, end-of-chapter problems, and illustrations of state-of-the-art online resources. Methods are illustrated using Microsoft Excel, online calculators, and SQCOnline.com. However, any statistical software can be used with the book. A companion website to the book is available at www.SamplingBook.com

Practical Sampling Techniques for Infrared Analysis provides a single-source guide to sample handling for routine analysis in infrared spectroscopy using commercially available instrumentation and accessories. Following a review of infrared spectroscopic theory, chapters consider individual techniques such as transmission methodology (e.g., solution cells, KBr pellets), internal reflectance, diffuse reflectance, photoacoustic FT-IR, infrared microscopy, GC/FT-IR, and quantitative analysis. In addition, two chapters elaborate on both typical and unusual samples and problems encountered in industrial laboratories and the process by which a spectroscopist chooses the most effective technique. Various short courses on infrared analysis are also listed. Practical Sampling Techniques for Infrared Analysis will be an important guide for all professional analytical chemists and technicians.