Anil Maheshwari
Biographic Data
| ID | 4871848 |
|---|---|
| NAME | Anil Maheshwari |
| GIVEN NAMES | Anil |
| FAMILY NAME | Maheshwari |
| SIGNATURE | MAHESHWARI A |
| ORCID | 0000-0002-1274-4598 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Public Opinion of the Partition - Results of the United Provinces Assembly Elections of 1946
,
Combining Text Mining and Manual Thematic Analysis to Understand Participant Experiences With Surveys
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
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…
Public Opinion of the Partition - Results of the United Provinces Assembly Elections of 1946
,
Combining Text Mining and Manual Thematic Analysis to Understand Participant Experiences With Surveys
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…
Combinatorics (1 work) · Data-Driven Disease Surveillance (1 work) · Ethics in Clinical Research (1 work) · Focus Groups and Qualitative Methods (1 work) · Geography (1 work) · Law (1 work) · Law (1 work) · Mathematics (1 work) · Opinion poll (1 work) · Partition (number theory (1 work)