Search alternatives:
small decrease » small increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
small decrease » small increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
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282
Preference for the EIA – conjoint results.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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283
Marginal means – Pooled across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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284
Sample attribute table.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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285
Subgroup analysis – Political affiliation.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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286
Sample scenario description.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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287
AMCEs – Pooled across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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288
Methodological flowchart.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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289
Preference for the EIA vs. ETA across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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290
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291
Estimated marginal mean values representative of the average time on ball and the relative frequency of ball touches and releases per minute of match duration, performed by profess...
Published 2025Subjects: “…tailed statistical significance…”
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292
Estimated marginal mean (± SE) age group differences in the average time on ball performed by professional soccer players on a match day for each position.
Published 2025Subjects: “…tailed statistical significance…”
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293
Estimated marginal mean values representative of the inter-positional differences in average time on ball and the relative frequency of ball touches and releases per minute of matc...
Published 2025Subjects: “…tailed statistical significance…”
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294
Estimated marginal mean (± SE) age group differences in the relative frequency of releases per minute, performed by professional soccer players on a match day for each position.
Published 2025Subjects: “…tailed statistical significance…”
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295
Estimated marginal mean (± SE) age group differences in the relative frequency of ball touches per minute, performed by professional soccer players on a match day for each position...
Published 2025Subjects: “…tailed statistical significance…”
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296
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297
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298
One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer
Published 2025“…In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
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299
One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer
Published 2025“…In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
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300
Advanced experimental investigation of explosive characteristics in premixed syngas/air mixtures using a narrow gap disk burner
Published 2025“…The results show that the folding of the flame front is enhanced as the Φ decreases. However, the change in fold degree is negligible when the Φ decreases from 1.6 to 1.2. …”