Read e-book online Survey Measurement and Process Quality PDF

By Lars E. Lyberg, Paul P. Biemer, Martin Collins, Edith de Leeuw, Cathryn Dippo, Norbert Schwarz, Dennis Trewin

ISBN-10: 047116559X

ISBN-13: 9780471165590

ISBN-10: 1118490010

ISBN-13: 9781118490013

An in-depth examine present matters, new examine findings, and interdisciplinary trade in survey method and processing

Survey dimension and approach caliber extends the wedding of conventional survey concerns and non-stop caliber development additional than the other modern quantity. It records the present nation of the sector, studies new study findings, and promotes interdisciplinary alternate in questionnaire layout, information assortment, facts processing, caliber evaluate, and results of mistakes on estimation and analysis.

The book's 5 sections talk about a wide diversity of concerns and issues in every one of 5 significant parts, together with
* Questionnaire design--conceptualization, layout of score scales for potent dimension, self-administered questionnaires, and extra
* facts collection--new know-how, interviewer results, interview mode, little ones as respondents
* Post-survey processing and operations--modeling of class operations, coding in line with such platforms, modifying, integrating techniques
* caliber review and control--total caliber administration, constructing present top equipment, provider caliber, caliber efforts throughout corporations
* results of misclassification on estimation, research, and interpretation--misclassification and different dimension blunders, new variance estimators that account for dimension blunders, estimators of nonsampling mistakes elements in interview surveys

Survey size and technique caliber is an quintessential source for survey practitioners and executives in addition to a very good supplemental textual content for undergraduate and graduate classes and unique seminars.Content:
Chapter 1 Questionnaire layout: The Rocky street from recommendations to solutions (pages 27–45): Norbert Schwarz
Chapter 2 From Theoretical proposal to Survey query (pages 47–69): Joop J. Hox
Chapter three Why Are There so Few Formal Measuring tools in Social and Political learn? (pages 71–86): Anthony Heath and Jean Martin
Chapter four Social Cognition and Responses to Survey Questions between Culturally varied Populations (pages 87–113): Timothy Johnson, Diane O'Rourke, Noel Chavez, Seymour Sudman, Richard Warnecke, Loretta Lacey and John Horm
Chapter five lowering query Order results: The Operation of Buffer goods (pages 115–140): Michaela Wanke and Norbert Schwarz
Chapter 6 Designing score Scales for powerful size in Surveys (pages 141–164): Jon A. Krosnick and Leandre R. Fabrigar
Chapter 7 in the direction of a conception of Self?Administered Questionnaire layout (pages 165–196): Cleo R. Jenkins and Don A. Dillman
Chapter eight facts assortment equipment and Survey caliber: an summary (pages 197–220): Edith de Leeuw and Martin Collins
Chapter nine The influence of recent info assortment applied sciences on Survey facts caliber (pages 221–248): William L. Nicholls, Reginald P. Baker and Jean Martin
Chapter 10 constructing a Speech attractiveness software for Survey learn (pages 249–266): invoice Blyth
Chapter eleven comparing Interviewer Use of CAPI know-how (pages 267–285): Mick P. Couper, Sue Ellen Hansen and Sally A. Sadosky
Chapter 12 The influence of Interviewer and Respondent habit on facts caliber: research of interplay Coding in a Validation research (pages 287–310): Jennifer Dykema, James M. Lepkowski and Steven Blixt
Chapter thirteen results of Interview Mode on delicate Questions in a Fertility Survey (pages 311–329): Jared B. Jobe, William F. Pratt, Roger Tourangeau, Alison okay. Baldwin and Kenneth A. Rasinski
Chapter 14 youngsters as Respondents: equipment for bettering information caliber (pages 331–350): Jacqueline Scott
Chapter 15 a few elements of Post?Survey Processing (pages 351–370): Lars Lyberg and Daniel Kasprzyk
Chapter sixteen built-in keep an eye on structures for Survey Processing (pages 371–392): Jelke Bethlehem
Chapter 17 utilizing professional structures to version and enhance Survey class strategies (pages 393–414): Frederick Conrad
Chapter 18 modifying of Survey information: How a lot Is sufficient? (pages 415–435): Leopold Granquist and John G. Kovar
Chapter 19 the standard of Occupational Coding within the uk (pages 437–453): Pamela Campanelli, Katarina Thomson, Nick Moon and Tessa Staples
Chapter 20 Survey dimension and method development: innovations and Integration (pages 455–474): Cathryn S. Dippo
Chapter 21 non-stop caliber development in Statistical organizations (pages 475–500): David Morganstein and David A. Marker
Chapter 22 caliber regulations, criteria, guidance, and suggested Practices at nationwide Statistical firms (pages 501–522): Michael Colledge and Mary March
Chapter 23 enhancing the comparison of Estimates throughout enterprise Surveys (pages 523–539): invoice Gross and Susan Linacre
Chapter 24 comparing Survey information: Making the Transition from Pretesting to caliber evaluate (pages 541–571): James L. Esposito and Jennifer M. Rothgeb
Chapter 25 CATI web site administration in a Survey of carrier caliber (pages 573–588): Mary Batcher and Fritz Scheuren
Chapter 26 utilizing Statistical tools acceptable to Autocorrelated techniques to research Survey strategy caliber facts (pages 589–600): Piyasena Hapuarachchi, Mary March and Adam Wronski
Chapter 27 A overview of dimension errors results at the research of Survey information (pages 601–632): Paul P. Biemer and Dennis Trewin
Chapter 28 specific information research and Misclassification (pages 633–670): Jouni Kuha and Chris Skinner
Chapter 29 setting apart switch and dimension blunders in Panel Surveys with an software to exertions industry facts (pages 671–688): Frank van de Pol and Rolf Langeheine
Chapter 30 Estimating ordinary nutritional consumption Distributions: Adjusting for size blunders and Nonnormality in 24?Hour nutrition consumption information (pages 689–709): Sarah M. Nusser, Wayne A. Fuller and Patricia M. Guenther
Chapter 31 picking and Adjusting for remember blunders with software to Fertility Surveys (pages 711–732): Thomas W. Pullum and S. Lynne Stokes
Chapter 32 Estimators of Nonsampling mistakes in Interview–Reinterview Supervised Surveys with Interpenetrated Assignments (pages 733–751): Francesca Bassi and Luigi Fabbris
Chapter 33 Variance Estimation below Stratified Two?Phase Sampling with purposes to dimension Bias (pages 753–768): J. N. ok. Rao and R. R. Sitter

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Extra resources for Survey Measurement and Process Quality

Sample text

A. Mathiowetz, and S. ), Measurement Errors in Surveys, pp. 517-530, New York: John Wiley & Sons, Inc. A. (1929), "Contagious Bias in the Interview," American Journal of Sociology, Vol. 35, pp. 420-423. S. (1902), Poverty: A Study of Town Life, London: Longmans. Ruckmick, CA. (1930), "The Uses and Abuses of the Questionnaire Procedure," Journal of Applied Psychology, Vol. 14, pp. 32-41. C. (1991), "Conversation with a Purpose—or Conversation? P. M. E. A. Mathiowetz, and S. ), Measurement Errors in Surveys, pp.

Payne, and T. ), Survey and Statistical Computing, Amsterdam: Elsevier Science Publishers. Williams, D. (1942), "Basic Instructions for Interviewers," Public Opinion Quarterly, Vol. 6, pp. 634-641. Yates, F. (1949), Sampling Techniques for Censuses and Surveys, London: Griffin. SECTION A Questionnaire Design Survey Measurement and Process Quality, Edited by Lyberg, Biemer, Collins, de Leeuw, Dippo, Schwarz, Trewin. ISBN 0-471-16559-X © 1997 John Wiley & Sons, Inc. 1 INTRODUCTION According to textbook knowledge, research is conducted to answer theoretical or applied questions that the investigators—or their clients or funding agencies— consider of interest.

The rest of this book provides an ideal opportunity to do this. I would urge everyone to read not only the particular chapters close to their own concerns but a selection of those in which they feel they have no direct professional interest. The increasing specialization of survey research will otherwise mean that the raison d'etre of surveys will disappear from the vision of those most intimately involved in their development. , and Hinde, J. (1981), "Statistical Modelling of Data on Teaching Styles," Journal of the Royal Statistical Society, A, Vol.

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Survey Measurement and Process Quality by Lars E. Lyberg, Paul P. Biemer, Martin Collins, Edith de Leeuw, Cathryn Dippo, Norbert Schwarz, Dennis Trewin

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