Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)

Forster and Neugebauer's (2024) invalidation study is invalid. Their conclusion that factorial survey (FS) experiments "are not suited for studying hiring behavior" (P. 901) is unjustified, because their claim that they conducted a field experiment (FE) and FS with "nearly identi...

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Main Author: Justin T. Pickett
Format: Article
Language:English
Published: Society for Sociological Science 2025-01-01
Series:Sociological Science
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Online Access:https://sociologicalscience.com/articles-v12-5-97/
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author Justin T. Pickett
author_facet Justin T. Pickett
author_sort Justin T. Pickett
collection DOAJ
description Forster and Neugebauer's (2024) invalidation study is invalid. Their conclusion that factorial survey (FS) experiments "are not suited for studying hiring behavior" (P. 901) is unjustified, because their claim that they conducted a field experiment (FE) and FS with "nearly identical" designs is false (P. 891). The two experiments included: (1) different factor levels (for three factors), (2) different unvalidated applicant names (to manipulate ethnicity), (3) different applicant photos, (4) different fixed factors (e.g., applicant stories about moving), and (5) different experimental settings (e.g., testing, instrumentation, and conditions of anonymity). In the current article, I discuss each of these major design differences and explain why it invalidates Forster and Neugebauer's (2024) comparison of their FE and FS findings. I conclude by emphasizing that social scientists are better served by asking why FE and FS findings sometimes differ than by assuming that any difference in findings across the experimental designs invalidates FS.
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spelling doaj-art-e373ab80f3504174994122fbeb1711cd2025-01-23T16:59:36ZengSociety for Sociological ScienceSociological Science2330-66962025-01-0112510.15195/v12.a5Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)Justin T. Pickett0University at Albany, SUNYForster and Neugebauer's (2024) invalidation study is invalid. Their conclusion that factorial survey (FS) experiments "are not suited for studying hiring behavior" (P. 901) is unjustified, because their claim that they conducted a field experiment (FE) and FS with "nearly identical" designs is false (P. 891). The two experiments included: (1) different factor levels (for three factors), (2) different unvalidated applicant names (to manipulate ethnicity), (3) different applicant photos, (4) different fixed factors (e.g., applicant stories about moving), and (5) different experimental settings (e.g., testing, instrumentation, and conditions of anonymity). In the current article, I discuss each of these major design differences and explain why it invalidates Forster and Neugebauer's (2024) comparison of their FE and FS findings. I conclude by emphasizing that social scientists are better served by asking why FE and FS findings sometimes differ than by assuming that any difference in findings across the experimental designs invalidates FS.https://sociologicalscience.com/articles-v12-5-97/factorial survey experimentfield experimenthiringsurvey methodologyrace/ethnicitybias
spellingShingle Justin T. Pickett
Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
Sociological Science
factorial survey experiment
field experiment
hiring
survey methodology
race/ethnicity
bias
title Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
title_full Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
title_fullStr Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
title_full_unstemmed Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
title_short Invalidating Factorial Survey Experiments Using Invalid Comparisons Is Bad Practice: Learning from Forster and Neugebauer (2024)
title_sort invalidating factorial survey experiments using invalid comparisons is bad practice learning from forster and neugebauer 2024
topic factorial survey experiment
field experiment
hiring
survey methodology
race/ethnicity
bias
url https://sociologicalscience.com/articles-v12-5-97/
work_keys_str_mv AT justintpickett invalidatingfactorialsurveyexperimentsusinginvalidcomparisonsisbadpracticelearningfromforsterandneugebauer2024