Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Aditya Maheshwari

Biographic Data

ID831197
NAMEAditya Maheshwari
GIVEN NAMESAditya
FAMILY NAMEMaheshwari
SIGNATUREMAHESHWARI A
ORCID0000-0002-0716-939X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Combining Text Mining and Manual Thematic Analysis to Understand Participant Experiences With Surveys

    Open Access•Amelie Nordstrom, Aditya Maheshwari et al.•ARTICLE•International Journal of…•2025•Cited by: 2•References: 32

    Participant engagement in large-scale surveys is vital to health and social science research. Understanding the factors that affect participant engagement requires methods that can meaningfully interpret participant feedback. Open-ended survey questions can capture these kinds of nuanced responses, but can be challenging to analyze at scale. To address this challenge, this study combines computational text mining with a manual thematic analysis t…

  • Combining Text Mining and Manual Thematic Analysis to Understand Participant Experiences With Surveys

    Open Access•Amelie Nordstrom, Aditya Maheshwari et al.•ARTICLE•International Journal of…•2025•Cited by: 2•References: 32

    Participant engagement in large-scale surveys is vital to health and social science research. Understanding the factors that affect participant engagement requires methods that can meaningfully interpret participant feedback. Open-ended survey questions can capture these kinds of nuanced responses, but can be challenging to analyze at scale. To address this challenge, this study combines computational text mining with a manual thematic analysis t…

  • Combining Text Mining and Manual Thematic Analysis to Understand Participant Experiences With Surveys

    Open Access•Amelie Nordstrom, Aditya Maheshwari et al.•ARTICLE•International Journal of…•2025•Cited by: 2•References: 32

    Participant engagement in large-scale surveys is vital to health and social science research. Understanding the factors that affect participant engagement requires methods that can meaningfully interpret participant feedback. Open-ended survey questions can capture these kinds of nuanced responses, but can be challenging to analyze at scale. To address this challenge, this study combines computational text mining with a manual thematic analysis t…

Data-Driven Disease Surveillance (1 work) · Ethics in Clinical Research (1 work) · Focus Groups and Qualitative Methods (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae