مشخصات کتاب

Survey Measurement and Process Quality

ویرایش:  
 
سری:  
ISBN (شابک) : 9780471165590, 9781118490013 
ناشر:  
سال نشر: 1997 
تعداد صفحات: 784 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 15 مگابایت 

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توضیحاتی درمورد کتاب به خارجی

An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processing

Survey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis.

The book's five sections discuss a broad range of issues and topics in each of five major areas, including
* Questionnaire design--conceptualization, design of rating scales for effective measurement, self-administered questionnaires, and more
* Data collection--new technology, interviewer effects, interview mode, children as respondents
* Post-survey processing and operations--modeling of classification operations, coding based on such systems, editing, integrating processes
* Quality assessment and control--total quality management, developing current best methods, service quality, quality efforts across organizations
* Effects of misclassification on estimation, analysis, and interpretation--misclassification and other measurement errors, new variance estimators that account for measurement error, estimators of nonsampling error components in interview surveys


Survey Measurement and Process Quality is an indispensable resource for survey practitioners and managers as well as an excellent supplemental text for undergraduate and graduate courses and special seminars.Content:
Chapter 1 Questionnaire Design: The Rocky Road from Concepts to Answers (pages 27–45): Norbert Schwarz
Chapter 2 From Theoretical Concept to Survey Question (pages 47–69): Joop J. Hox
Chapter 3 Why Are There so Few Formal Measuring Instruments in Social and Political Research? (pages 71–86): Anthony Heath and Jean Martin
Chapter 4 Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations (pages 87–113): Timothy Johnson, Diane O'Rourke, Noel Chavez, Seymour Sudman, Richard Warnecke, Loretta Lacey and John Horm
Chapter 5 Reducing Question Order Effects: The Operation of Buffer Items (pages 115–140): Michaela Wanke and Norbert Schwarz
Chapter 6 Designing Rating Scales for Effective Measurement in Surveys (pages 141–164): Jon A. Krosnick and Leandre R. Fabrigar
Chapter 7 Towards a Theory of Self?Administered Questionnaire Design (pages 165–196): Cleo R. Jenkins and Don A. Dillman
Chapter 8 Data Collection Methods and Survey Quality: An Overview (pages 197–220): Edith de Leeuw and Martin Collins
Chapter 9 The Effect of New Data Collection Technologies on Survey Data Quality (pages 221–248): William L. Nicholls, Reginald P. Baker and Jean Martin
Chapter 10 Developing a Speech Recognition Application for Survey Research (pages 249–266): Bill Blyth
Chapter 11 Evaluating Interviewer Use of CAPI Technology (pages 267–285): Mick P. Couper, Sue Ellen Hansen and Sally A. Sadosky
Chapter 12 The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study (pages 287–310): Jennifer Dykema, James M. Lepkowski and Steven Blixt
Chapter 13 Effects of Interview Mode on Sensitive Questions in a Fertility Survey (pages 311–329): Jared B. Jobe, William F. Pratt, Roger Tourangeau, Alison K. Baldwin and Kenneth A. Rasinski
Chapter 14 Children as Respondents: Methods for Improving Data Quality (pages 331–350): Jacqueline Scott
Chapter 15 Some Aspects of Post?Survey Processing (pages 351–370): Lars Lyberg and Daniel Kasprzyk
Chapter 16 Integrated Control Systems for Survey Processing (pages 371–392): Jelke Bethlehem
Chapter 17 Using Expert Systems to Model and Improve Survey Classification Processes (pages 393–414): Frederick Conrad
Chapter 18 Editing of Survey Data: How Much Is Enough? (pages 415–435): Leopold Granquist and John G. Kovar
Chapter 19 The Quality of Occupational Coding in the United Kingdom (pages 437–453): Pamela Campanelli, Katarina Thomson, Nick Moon and Tessa Staples
Chapter 20 Survey Measurement and Process Improvement: Concepts and Integration (pages 455–474): Cathryn S. Dippo
Chapter 21 Continuous Quality Improvement in Statistical Agencies (pages 475–500): David Morganstein and David A. Marker
Chapter 22 Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies (pages 501–522): Michael Colledge and Mary March
Chapter 23 Improving the Comparability of Estimates Across Business Surveys (pages 523–539): Bill Gross and Susan Linacre
Chapter 24 Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment (pages 541–571): James L. Esposito and Jennifer M. Rothgeb
Chapter 25 CATI Site Management in a Survey of Service Quality (pages 573–588): Mary Batcher and Fritz Scheuren
Chapter 26 Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data (pages 589–600): Piyasena Hapuarachchi, Mary March and Adam Wronski
Chapter 27 A Review of Measurement Error Effects on the Analysis of Survey Data (pages 601–632): Paul P. Biemer and Dennis Trewin
Chapter 28 Categorical Data Analysis and Misclassification (pages 633–670): Jouni Kuha and Chris Skinner
Chapter 29 Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data (pages 671–688): Frank van de Pol and Rolf Langeheine
Chapter 30 Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24?Hour Food Intake Data (pages 689–709): Sarah M. Nusser, Wayne A. Fuller and Patricia M. Guenther
Chapter 31 Identifying and Adjusting for Recall Error with Application to Fertility Surveys (pages 711–732): Thomas W. Pullum and S. Lynne Stokes
Chapter 32 Estimators of Nonsampling Errors in Interview–Reinterview Supervised Surveys with Interpenetrated Assignments (pages 733–751): Francesca Bassi and Luigi Fabbris
Chapter 33 Variance Estimation Under Stratified Two?Phase Sampling with Applications to Measurement Bias (pages 753–768): J. N. K. Rao and R. R. Sitter

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