Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities

This study proposes a method of nonresponse assessment based on meta-analytical file-drawer techniques, also known as worst-case resistance testing (WCRT), and suitable for a wide range of data collection scenarios. A general method is devised to estimate the number of significantly different nonre...

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Main Authors: Stephen France, Frank G. Adams, V. Myles Landers
Format: Article
Language:English
Published: European Survey Research Association 2024-12-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/8182
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author Stephen France
Frank G. Adams
V. Myles Landers
author_facet Stephen France
Frank G. Adams
V. Myles Landers
author_sort Stephen France
collection DOAJ
description This study proposes a method of nonresponse assessment based on meta-analytical file-drawer techniques, also known as worst-case resistance testing (WCRT), and suitable for a wide range of data collection scenarios. A general method is devised to estimate the number of significantly different nonrespondents it would take to significantly alter the results of an analysis.  Estimates of nonrespondents can be plotted against effect sizes using “n-curves”, with similar interpretation to p-curves or power curves.  Variants of the general method are derived for tests of means and correlations. A sample using a well-established survey instrument from previous behavioral research is used to test the method. The results suggest that employing worst-case resistance testing can be used on its own or in conjunction with wave analysis to precisely flag nonresponse risks.
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publishDate 2024-12-01
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series Survey Research Methods
spelling doaj-art-791127dd5a8046cbb2d22fdab90f34cd2025-02-09T14:16:09ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612024-12-01183Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research RealitiesStephen France0Frank G. AdamsV. Myles LandersMississippi State University This study proposes a method of nonresponse assessment based on meta-analytical file-drawer techniques, also known as worst-case resistance testing (WCRT), and suitable for a wide range of data collection scenarios. A general method is devised to estimate the number of significantly different nonrespondents it would take to significantly alter the results of an analysis.  Estimates of nonrespondents can be plotted against effect sizes using “n-curves”, with similar interpretation to p-curves or power curves.  Variants of the general method are derived for tests of means and correlations. A sample using a well-established survey instrument from previous behavioral research is used to test the method. The results suggest that employing worst-case resistance testing can be used on its own or in conjunction with wave analysis to precisely flag nonresponse risks. https://ojs.ub.uni-konstanz.de/srm/article/view/8182Participant Nonresponse BiasWorst-Case Resistance TestingHypothesis TestingWave Analysis
spellingShingle Stephen France
Frank G. Adams
V. Myles Landers
Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
Survey Research Methods
Participant Nonresponse Bias
Worst-Case Resistance Testing
Hypothesis Testing
Wave Analysis
title Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
title_full Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
title_fullStr Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
title_full_unstemmed Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
title_short Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
title_sort worst case resistance testing a nonresponse bias solution for today s survey research realities
topic Participant Nonresponse Bias
Worst-Case Resistance Testing
Hypothesis Testing
Wave Analysis
url https://ojs.ub.uni-konstanz.de/srm/article/view/8182
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AT frankgadams worstcaseresistancetestinganonresponsebiassolutionfortodayssurveyresearchrealities
AT vmyleslanders worstcaseresistancetestinganonresponsebiassolutionfortodayssurveyresearchrealities