An experimental study of countermeasures against threats: real-world effects meet treatment effects

Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjec...
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Autor*in:	Chytilek, Roman [verfasserIn] Mareš, Miroslav Drmola, Jakub Hrbková, Lenka Mlejnková, Petra Špačková, Zuzana Tóth, Michal

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Security Experiments Contamination Pre-treatment Treatment effect

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature B.V. 2022

Übergeordnetes Werk:	Enthalten in: Quality & quantity - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967, 56(2022), 6 vom: 22. Feb., Seite 4825-4840
Übergeordnetes Werk:	volume:56 ; year:2022 ; number:6 ; day:22 ; month:02 ; pages:4825-4840

Links:	Volltext

DOI / URN:	10.1007/s11135-022-01354-4

Katalog-ID:	SPR04842207X

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allfields	10.1007/s11135-022-01354-4 doi (DE-627)SPR04842207X (SPR)s11135-022-01354-4-e DE-627 ger DE-627 rakwb eng Chytilek, Roman verfasserin (orcid)0000-0002-2900-7746 aut An experimental study of countermeasures against threats: real-world effects meet treatment effects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213 Mareš, Miroslav (orcid)0000-0002-7102-3205 aut Drmola, Jakub (orcid)0000-0003-4275-2115 aut Hrbková, Lenka (orcid)0000-0003-3755-3322 aut Mlejnková, Petra (orcid)0000-0002-4430-6269 aut Špačková, Zuzana (orcid)0000-0001-8349-5106 aut Tóth, Michal (orcid)0000-0002-9026-1313 aut Enthalten in Quality & quantity Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967 56(2022), 6 vom: 22. Feb., Seite 4825-4840 (DE-627)320426874 (DE-600)2003280-8 1573-7845 nnns volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840 https://dx.doi.org/10.1007/s11135-022-01354-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 6 22 02 4825-4840
spelling	10.1007/s11135-022-01354-4 doi (DE-627)SPR04842207X (SPR)s11135-022-01354-4-e DE-627 ger DE-627 rakwb eng Chytilek, Roman verfasserin (orcid)0000-0002-2900-7746 aut An experimental study of countermeasures against threats: real-world effects meet treatment effects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213 Mareš, Miroslav (orcid)0000-0002-7102-3205 aut Drmola, Jakub (orcid)0000-0003-4275-2115 aut Hrbková, Lenka (orcid)0000-0003-3755-3322 aut Mlejnková, Petra (orcid)0000-0002-4430-6269 aut Špačková, Zuzana (orcid)0000-0001-8349-5106 aut Tóth, Michal (orcid)0000-0002-9026-1313 aut Enthalten in Quality & quantity Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967 56(2022), 6 vom: 22. Feb., Seite 4825-4840 (DE-627)320426874 (DE-600)2003280-8 1573-7845 nnns volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840 https://dx.doi.org/10.1007/s11135-022-01354-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 6 22 02 4825-4840
allfields_unstemmed	10.1007/s11135-022-01354-4 doi (DE-627)SPR04842207X (SPR)s11135-022-01354-4-e DE-627 ger DE-627 rakwb eng Chytilek, Roman verfasserin (orcid)0000-0002-2900-7746 aut An experimental study of countermeasures against threats: real-world effects meet treatment effects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213 Mareš, Miroslav (orcid)0000-0002-7102-3205 aut Drmola, Jakub (orcid)0000-0003-4275-2115 aut Hrbková, Lenka (orcid)0000-0003-3755-3322 aut Mlejnková, Petra (orcid)0000-0002-4430-6269 aut Špačková, Zuzana (orcid)0000-0001-8349-5106 aut Tóth, Michal (orcid)0000-0002-9026-1313 aut Enthalten in Quality & quantity Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967 56(2022), 6 vom: 22. Feb., Seite 4825-4840 (DE-627)320426874 (DE-600)2003280-8 1573-7845 nnns volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840 https://dx.doi.org/10.1007/s11135-022-01354-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 6 22 02 4825-4840
allfieldsGer	10.1007/s11135-022-01354-4 doi (DE-627)SPR04842207X (SPR)s11135-022-01354-4-e DE-627 ger DE-627 rakwb eng Chytilek, Roman verfasserin (orcid)0000-0002-2900-7746 aut An experimental study of countermeasures against threats: real-world effects meet treatment effects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213 Mareš, Miroslav (orcid)0000-0002-7102-3205 aut Drmola, Jakub (orcid)0000-0003-4275-2115 aut Hrbková, Lenka (orcid)0000-0003-3755-3322 aut Mlejnková, Petra (orcid)0000-0002-4430-6269 aut Špačková, Zuzana (orcid)0000-0001-8349-5106 aut Tóth, Michal (orcid)0000-0002-9026-1313 aut Enthalten in Quality & quantity Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967 56(2022), 6 vom: 22. Feb., Seite 4825-4840 (DE-627)320426874 (DE-600)2003280-8 1573-7845 nnns volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840 https://dx.doi.org/10.1007/s11135-022-01354-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 6 22 02 4825-4840
allfieldsSound	10.1007/s11135-022-01354-4 doi (DE-627)SPR04842207X (SPR)s11135-022-01354-4-e DE-627 ger DE-627 rakwb eng Chytilek, Roman verfasserin (orcid)0000-0002-2900-7746 aut An experimental study of countermeasures against threats: real-world effects meet treatment effects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2022 Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213 Mareš, Miroslav (orcid)0000-0002-7102-3205 aut Drmola, Jakub (orcid)0000-0003-4275-2115 aut Hrbková, Lenka (orcid)0000-0003-3755-3322 aut Mlejnková, Petra (orcid)0000-0002-4430-6269 aut Špačková, Zuzana (orcid)0000-0001-8349-5106 aut Tóth, Michal (orcid)0000-0002-9026-1313 aut Enthalten in Quality & quantity Dordrecht [u.a.] : Springer Science + Business Media B.V, 1967 56(2022), 6 vom: 22. Feb., Seite 4825-4840 (DE-627)320426874 (DE-600)2003280-8 1573-7845 nnns volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840 https://dx.doi.org/10.1007/s11135-022-01354-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 6 22 02 4825-4840
language	English
source	Enthalten in Quality & quantity 56(2022), 6 vom: 22. Feb., Seite 4825-4840 volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840
sourceStr	Enthalten in Quality & quantity 56(2022), 6 vom: 22. Feb., Seite 4825-4840 volume:56 year:2022 number:6 day:22 month:02 pages:4825-4840
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Security Experiments Contamination Pre-treatment Treatment effect
isfreeaccess_bool	false
container_title	Quality & quantity
authorswithroles_txt_mv	Chytilek, Roman @@aut@@ Mareš, Miroslav @@aut@@ Drmola, Jakub @@aut@@ Hrbková, Lenka @@aut@@ Mlejnková, Petra @@aut@@ Špačková, Zuzana @@aut@@ Tóth, Michal @@aut@@
publishDateDaySort_date	2022-02-22T00:00:00Z
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author	Chytilek, Roman
spellingShingle	Chytilek, Roman misc Security misc Experiments misc Contamination misc Pre-treatment misc Treatment effect An experimental study of countermeasures against threats: real-world effects meet treatment effects
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topic_title	An experimental study of countermeasures against threats: real-world effects meet treatment effects Security (dpeaa)DE-He213 Experiments (dpeaa)DE-He213 Contamination (dpeaa)DE-He213 Pre-treatment (dpeaa)DE-He213 Treatment effect (dpeaa)DE-He213
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title	An experimental study of countermeasures against threats: real-world effects meet treatment effects
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title_full	An experimental study of countermeasures against threats: real-world effects meet treatment effects
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author_browse	Chytilek, Roman Mareš, Miroslav Drmola, Jakub Hrbková, Lenka Mlejnková, Petra Špačková, Zuzana Tóth, Michal
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title_sort	experimental study of countermeasures against threats: real-world effects meet treatment effects
title_auth	An experimental study of countermeasures against threats: real-world effects meet treatment effects
abstract	Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. © The Author(s), under exclusive licence to Springer Nature B.V. 2022
abstractGer	Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. © The Author(s), under exclusive licence to Springer Nature B.V. 2022
abstract_unstemmed	Abstract The experimental study of positions on policies and measures against various new types of threat is fast becoming a mainstream research practice. In this article we argue as follows: in security studies in particular, there is a risk that the experimental treatment is contaminated by subjects’ previous experience of the real world (‘contamination’), and this may substantially complicate the assessment of the size of the experimental treatment’s causal effect. We discuss ways to decrease the risk of uncontrolled contamination. Using two experimental case studies we show two typical cases of contamination in security studies (one, where the contamination of all treatments was extremely high, and another, where the level of contamination was unknown and might have varied across the experimental groups) and consider what this implies for the substantive results of the experiments. An analysis of contamination should become a routine, especially when reporting security experiments. © The Author(s), under exclusive licence to Springer Nature B.V. 2022
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title_short	An experimental study of countermeasures against threats: real-world effects meet treatment effects
url	https://dx.doi.org/10.1007/s11135-022-01354-4
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author2	Mareš, Miroslav Drmola, Jakub Hrbková, Lenka Mlejnková, Petra Špačková, Zuzana Tóth, Michal
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up_date	2024-07-03T19:07:04.458Z
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An experimental study of countermeasures against threats: real-world effects meet treatment effects

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