Design, evaluation, and analysis of questionnaires for survey research / Willem E. Saris and Irmtraud N. Gallhofer.

By:

Saris, Willem E

Contributor(s):

Gallhofer, Irmtraud N

Material type: Text

TextSeries: Wiley series in survey methodologyPublication details: New Jersey : John Wiley : c2014.Edition: 2nd edDescription: xvii, 355 p. : ill. ; 25 cmISBN:

9781118634615 (cloth)

Subject(s):

DDC classification:

300.723 23 Sa245

Contents:

Preface -- Introduction -- The three-step procedure to design requests for an answer -- Concepts-by-postulation and concepts-by-intuition -- From social science concepts-by-intuition to assertions -- The formulation of requests for an answer -- Choices involved in questionnaire design -- Specific survey research features of requests for an answer -- Response alternatives -- The structure of open-ended and closed survey items -- Survey items in batteries -- Mode of data collection and other choices -- The effects of survey characteristics on data quality -- Criteria for the quality of survey measures -- Estimation of reliability, validity and method effects -- Split ballot mtmm designs -- Mtmm experiments and the quality of survey questions -- Applications in social science research -- The sqp 2.0 program for prediction of quality and the -- Improvement of measurement -- The quality of measures for concepts-by-postulation -- Correction for measurement errors -- Coping with measurement error in cross-cultural research -- References -- Index.

Summary: The Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting–edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition , the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi–Trait Multi–Method experiments.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	300.723 Sa245 (Browse shelf(Opens below))	Available		C26264

Total holds: 0

Includes bibliographical references and index.

Preface --
Introduction --
The three-step procedure to design requests for an answer --
Concepts-by-postulation and concepts-by-intuition --
From social science concepts-by-intuition to assertions --
The formulation of requests for an answer --
Choices involved in questionnaire design --
Specific survey research features of requests for an answer --
Response alternatives --
The structure of open-ended and closed survey items --
Survey items in batteries --
Mode of data collection and other choices --
The effects of survey characteristics on data quality --
Criteria for the quality of survey measures --
Estimation of reliability, validity and method effects --
Split ballot mtmm designs --
Mtmm experiments and the quality of survey questions --
Applications in social science research --
The sqp 2.0 program for prediction of quality and the --
Improvement of measurement --
The quality of measures for concepts-by-postulation --
Correction for measurement errors --
Coping with measurement error in cross-cultural research --

References --
Index.

The Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting–edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition , the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi–Trait Multi–Method experiments.

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