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New framework enhances robustness analysis for survey-based research

By PulseAugur Editorial · [2 sources] ·

This paper introduces a novel framework for analyzing the robustness of survey-based research findings. It integrates Structural Equation Modelling (SEM) with Double Machine Learning (DML) and ordinary least squares (OLS) regression to assess how stable relationships remain across different estimation techniques. The methodology, demonstrated on a FinTech Digital Customer Intimacy model, helps researchers identify which findings are consistently supported and which require more cautious interpretation. AI

IMPACT Provides a more rigorous approach to validating findings in survey-based research, potentially increasing confidence in results derived from machine learning techniques.

RANK_REASON The item is an academic paper detailing a new methodology for statistical analysis. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework enhances robustness analysis for survey-based research

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The item is an academic paper detailing a new methodology for statistical analysis. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ranga Chimhundu ·

    From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research

    Structural equation modelling (SEM) is widely used in survey-based business and information systems research to assess latent constructs and theory-driven structural relationships. However, SEM path significance is obtained within a particular model specification and may not show…

  2. arXiv stat.ML TIER_1 English(EN) · Ka Ching Chan, Qiana Liu, Sanjib Tiwari, Ranga Chimhundu ·

    From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research

    arXiv:2607.00512v1 Announce Type: cross Abstract: Structural equation modelling (SEM) is widely used in survey-based business and information systems research to assess latent constructs and theory-driven structural relationships. However, SEM path significance is obtained within…

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