Showing 6,281 - 6,300 results of 21,342 for search '(( significantly ((a decrease) OR (linear decrease)) ) OR ( significant decrease decrease ))', query time: 0.64s Refine Results
  1. 6281

    Flow chart. by Shujuan Hu (22656045)

    Published 2025
    Subjects:
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    Experimental design of this study. by Renya Kawakami (20469088)

    Published 2024
    “…In fact, naive old males exhibited significantly higher paternity success compared with old males who had previously mated. …”
  16. 6296

    All relevant data of this study. by Renya Kawakami (20469088)

    Published 2024
    “…In fact, naive old males exhibited significantly higher paternity success compared with old males who had previously mated. …”
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    Preference for the EIA – conjoint results. by Mehdi Mourali (10170245)

    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. …”
  19. 6299

    Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

    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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    Sample attribute table. by Mehdi Mourali (10170245)

    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. …”