Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online

Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studi...
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Gespeichert in:

Autor*in:	Hartman, Rachel [verfasserIn] Moss, Aaron J. Rabinowitz, Israel Bahn, Nathaniel Rosenzweig, Cheskie Robinson, Jonathan Litman, Leib

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Amazon Mechanical Turk Data quality Age verification Online research

Anmerkung:	© The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Behavior research methods, instruments & computers - Austin, Tex. : Psychonomic Society Publ., 1984, 55(2022), 7 vom: 21. Sept., Seite 3313-3325
Übergeordnetes Werk:	volume:55 ; year:2022 ; number:7 ; day:21 ; month:09 ; pages:3313-3325

Links:	Volltext

DOI / URN:	10.3758/s13428-022-01944-y

Katalog-ID:	SPR053579585

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allfields	10.3758/s13428-022-01944-y doi (DE-627)SPR053579585 (SPR)s13428-022-01944-y-e DE-627 ger DE-627 rakwb eng Hartman, Rachel verfasserin (orcid)0000-0001-9714-3224 aut Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213 Moss, Aaron J. aut Rabinowitz, Israel aut Bahn, Nathaniel aut Rosenzweig, Cheskie aut Robinson, Jonathan aut Litman, Leib aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 55(2022), 7 vom: 21. Sept., Seite 3313-3325 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:55 year:2022 number:7 day:21 month:09 pages:3313-3325 https://dx.doi.org/10.3758/s13428-022-01944-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 55 2022 7 21 09 3313-3325
spelling	10.3758/s13428-022-01944-y doi (DE-627)SPR053579585 (SPR)s13428-022-01944-y-e DE-627 ger DE-627 rakwb eng Hartman, Rachel verfasserin (orcid)0000-0001-9714-3224 aut Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213 Moss, Aaron J. aut Rabinowitz, Israel aut Bahn, Nathaniel aut Rosenzweig, Cheskie aut Robinson, Jonathan aut Litman, Leib aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 55(2022), 7 vom: 21. Sept., Seite 3313-3325 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:55 year:2022 number:7 day:21 month:09 pages:3313-3325 https://dx.doi.org/10.3758/s13428-022-01944-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 55 2022 7 21 09 3313-3325
allfields_unstemmed	10.3758/s13428-022-01944-y doi (DE-627)SPR053579585 (SPR)s13428-022-01944-y-e DE-627 ger DE-627 rakwb eng Hartman, Rachel verfasserin (orcid)0000-0001-9714-3224 aut Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213 Moss, Aaron J. aut Rabinowitz, Israel aut Bahn, Nathaniel aut Rosenzweig, Cheskie aut Robinson, Jonathan aut Litman, Leib aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 55(2022), 7 vom: 21. Sept., Seite 3313-3325 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:55 year:2022 number:7 day:21 month:09 pages:3313-3325 https://dx.doi.org/10.3758/s13428-022-01944-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 55 2022 7 21 09 3313-3325
allfieldsGer	10.3758/s13428-022-01944-y doi (DE-627)SPR053579585 (SPR)s13428-022-01944-y-e DE-627 ger DE-627 rakwb eng Hartman, Rachel verfasserin (orcid)0000-0001-9714-3224 aut Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213 Moss, Aaron J. aut Rabinowitz, Israel aut Bahn, Nathaniel aut Rosenzweig, Cheskie aut Robinson, Jonathan aut Litman, Leib aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 55(2022), 7 vom: 21. Sept., Seite 3313-3325 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:55 year:2022 number:7 day:21 month:09 pages:3313-3325 https://dx.doi.org/10.3758/s13428-022-01944-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 55 2022 7 21 09 3313-3325
allfieldsSound	10.3758/s13428-022-01944-y doi (DE-627)SPR053579585 (SPR)s13428-022-01944-y-e DE-627 ger DE-627 rakwb eng Hartman, Rachel verfasserin (orcid)0000-0001-9714-3224 aut Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213 Moss, Aaron J. aut Rabinowitz, Israel aut Bahn, Nathaniel aut Rosenzweig, Cheskie aut Robinson, Jonathan aut Litman, Leib aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 55(2022), 7 vom: 21. Sept., Seite 3313-3325 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:55 year:2022 number:7 day:21 month:09 pages:3313-3325 https://dx.doi.org/10.3758/s13428-022-01944-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 AR 55 2022 7 21 09 3313-3325
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topic_title	Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online Amazon Mechanical Turk (dpeaa)DE-He213 Data quality (dpeaa)DE-He213 Age verification (dpeaa)DE-He213 Online research (dpeaa)DE-He213
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title_sort	do you know the wooly bully? testing era-based knowledge to verify participant age online
title_auth	Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online
abstract	Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity of research. Here, we propose and evaluate a way to verify the age of online respondents: a test of era-based knowledge. Across six studies (N = 1543), participants of various ages completed an age verification instrument. The instrument assessed familiarity with cultural phenomena (e.g., songs and TV shows) from decades past and present. We consistently found that our instrument discriminated between people of different ages. In Studies 1a and 1b, self-reported age correlated strongly with performance on the instrument (mean r = .8). In Study 2, the instrument reliably detected imposters who we knew were misrepresenting their age. For impostors, self-reported age did not correlate with performance on the instrument (r = .077). Finally, in Studies 3a, 3b, and 3c, the instrument remained robust with African Americans, people from low educational backgrounds, and recent immigrants to the United States. Thus, our instrument shows promise for verifying the age of online respondents, and, as we discuss, our approach of assessing “insider knowledge” holds great promise for verifying other identities within online studies. © The Psychonomic Society, Inc. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online
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author2	Moss, Aaron J. Rabinowitz, Israel Bahn, Nathaniel Rosenzweig, Cheskie Robinson, Jonathan Litman, Leib
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