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Survey Measurement and Process Quality [Other digital carrier]

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  • Formaat: Other digital carrier, 808 pages, kõrgus x laius x paksus: 152x101x5 mm, kaal: 725 g
  • Ilmumisaeg: 30-Aug-2012
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118490010
  • ISBN-13: 9781118490013
Teised raamatud teemal:
Survey Measurement and Process Quality
  • Formaat: Other digital carrier, 808 pages, kõrgus x laius x paksus: 152x101x5 mm, kaal: 725 g
  • Ilmumisaeg: 30-Aug-2012
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118490010
  • ISBN-13: 9781118490013
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781118490013.html
Märksõnad:
An in-depth look at current issues, new research findings, andinterdisciplinary exchange in survey methodology andprocessing

Survey Measurement and Process Quality extends the marriage oftraditional survey issues and continuous quality improvementfurther than any other contemporary volume. It documents thecurrent state of the field, reports new research findings, andpromotes interdisciplinary exchange in questionnaire design, datacollection, data processing, quality assessment, and effects oferrors on estimation and analysis.

The book's five sections discuss a broad range of issues and topicsin each of five major areas, including
* Questionnaire design--conceptualization, design of rating scalesfor effective measurement, self-administered questionnaires, andmore
* Data collection--new technology, interviewer effects, interviewmode, children as respondents
* Post-survey processing and operations--modeling of classificationoperations, coding based on such systems, editing, integratingprocesses
* Quality assessment and control--total quality management,developing current best methods, service quality, quality effortsacross organizations
* Effects of misclassification on estimation, analysis, andinterpretation--misclassification and other measurement errors, newvariance estimators that account for measurement error, estimatorsof nonsampling error components in interview surveys

Survey Measurement and Process Quality is an indispensable resourcefor survey practitioners and managers as well as an excellentsupplemental text for undergraduate and graduate courses andspecial seminars.
Aus dem Inhalt: Introduction; QUESTIONNAIRE DESIGN: Questionnaire Design
The Rocky Road from Concepts to Answers; From Theoretical Concepts to Survey
Question; Why are There So Few Formal Measuring Instruments in Social and
Political Research?; Social Cognition and Responses to Survey Question Among
Culturally Diverse Population; Reducing Question Order Effects: The Operation
of Buffer Items; Designing Rating Scales for Effective Measurement in Survey;
Towards a Theory of Self-Administered Questionnaire Design; DATA COLLECTION:
Data Collection Methods and Survey Quality: An Overview; The Effect of New
Data Collection Technologies on Survey Data Quality; Speech Recognition
Applications for Survey Research; Evaluating Interviewer Use of CAPI
Technology; The Effect of Interviewer and Respondent Behavior on Data
Quality: Analysis of Interaction Coding in a Validation Study; Effects of
Interview Mode on Sensitive Questions in a Fertility Survey; Children as
Respondents: Methods for Improving Data Quality: POST SURVEY PROCESSING AND
OPERATIONS: Some Aspects of Post Survey Processing; Integrated Control
Systems for Using Expert Systems to Model and Improve Survey Classification
Processes; Editing of Survey Data: How Much is Enough?; The Quality of
Occupational Coding in the United Kingdom; QUALITY ASSESSMENT AND CONTROL:
Survey Measurement and Process Improvement: Concepts and Integration;
Continuous Quality Improvement in Statistical Agencies; Quality Policies,
Standards, Guidelines, and Recommended Practices at National Statistical
Agencies; Improving the Comparability of Estimates Across Business Surveys;
Evaluating Survey Data: Making the Transition from Pretesting to Quality
Assessment; CATI Site Management in a Survey of Service Quality; Using
Statistical Methods Applicable to Autocorrelated Processes to Analyse Survey
Process Quality Data; ERROR EFFECTS ON ESTIMATION ANALYSES, AND
INTERPRETATION: A Review of Measurement Error Effects on the Analysis of
Survey Data; Categorical Data Analysis and Misclassification; Separating
Change and Measurement Error in Panel Surveys with an Application to Labor
Market Data; Estimating Usual Dietary Intake Distributions: Adjusting for
Measurement Error and Nonnormaility in 24-hour Food Intake Data; Identifying
and Adjusting for Recall Error with Application to Fertility Surveys;
Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys
with Interpenetrated Assignments; Variance Estimation Under Two-Phase
Stratified Sampling with Applications to Measurement Bias.