Replication Data for: "Spelling Correction with Large Language Models to Reduce Measurement Error in Open-Ended Survey Responses" in Research & Politics (doi:10.7910/DVN/UQUJDM)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: "Spelling Correction with Large Language Models to Reduce Measurement Error in Open-Ended Survey Responses" in Research & Politics

Identification Number:

doi:10.7910/DVN/UQUJDM

Distributor:

Harvard Dataverse

Date of Distribution:

2024-12-09

Version:

1

Bibliographic Citation:

Kellstedt, Paul, 2024, "Replication Data for: "Spelling Correction with Large Language Models to Reduce Measurement Error in Open-Ended Survey Responses" in Research & Politics", https://doi.org/10.7910/DVN/UQUJDM, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: "Spelling Correction with Large Language Models to Reduce Measurement Error in Open-Ended Survey Responses" in Research & Politics

Identification Number:

doi:10.7910/DVN/UQUJDM

Authoring Entity:

Kellstedt, Paul (Texas A&M University)

Distributor:

Harvard Dataverse

Access Authority:

Kellstedt, Paul

Depositor:

Kellstedt, Paul

Date of Deposit:

2024-12-09

Holdings Information:

https://doi.org/10.7910/DVN/UQUJDM

Study Scope

Keywords:

Social Sciences

Abstract:

Zipped replication archive for our article in Research & Politics: "Spelling Correction with Large Language Models to Reduce Measurement Error in Open-Ended Survey Responses" (2024-12-09)

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

LLMs-R&P-Replication.zip

Notes:

application/zip