Lyberg / Biemer / Collins | Survey Measurement and Process Quality | Buch | 978-0-471-16559-0 | sack.de

Buch, Englisch, 808 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 1364 g

Lyberg / Biemer / Collins

Survey Measurement and Process Quality


1. Auflage 1997
ISBN: 978-0-471-16559-0
Verlag: Wiley

Buch, Englisch, 808 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 1364 g

ISBN: 978-0-471-16559-0
Verlag: Wiley


Der fünfte Band der Monographiereihe auf der Grundlage von Konferenzen, die mit Mitteln der American Statistical Association ausgerichtet wurden.

Lyberg / Biemer / Collins Survey Measurement and Process Quality jetzt bestellen!

Weitere Infos & Material


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.

Partial table of contents:

QUESTIONNAIRE DESIGN.

From Theoretical Concept to Survey Question (J. Hox).

Designing Rating Scales for Effective Measurement in Surveys (J.Krosnick & L. Fabrigar).

DATA COLLECTION.

Developing a Speech Recognition Application for Survey Research (B.Blyth).

Children as Respondents: Methods for Improving Data Quality (J.Scott).

POST SURVEY PROCESSING AND OPERATIONS.

Integrated Control Systems for Survey Processing (J.Bethlehem).

QUALITY ASSESSMENT AND CONTROL.

Continuous Quality Improvement in Statistical Agencies (D.Morganstein & D. Marker).

ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION.

Categorical Data Analysis and Misclassification (J. Kuha & C.Skinner).

Index.


Lars E. Lyberg, PhD, is Chief Scientist at Statistics Sweden. They both have co-edited, with others, Measurement Errors in Surveys, Survey Measurement and Process Quality, and Telephone Survey Methodology - all published by Wiley.

Paul P. Biemer is a distinguished Fellow at RTI International, and Assistant Director for Survey Research at the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.



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