University Of Houston: Research Institution — Prolific Citations Library

Browse 2 peer-reviewed papers from University Of Houston spanning Crowdsourcing Research Methodology, Human-Computer Interaction (HCI) (2025). Research powered by Prolific's high-quality participant data.

This page lists 2 peer-reviewed papers from researchers at University Of Houston in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Caution when Crowdsourcing: Prolific as a Superior Platform Compared with MTurk

Authors: D OConnell, A Bautista

Year: 2025

Published in: ... Student Journal of ..., 2025 - journals.library.columbia.edu

Institution: University of Houston, Webster University

Research Area: Crowdsourcing Research Methodology, Human-Computer Interaction (HCI)

Discipline: Computational Social Science, Behavioral Research

Prolific outperforms MTurk in participant data quality and affordability for online survey-based research.

Methods: Data from participants recruited via MTurk and Prolific were analyzed for cost, attention measures, participation duration, and internal consistency.

Key Findings: Comparison of data quality and cost-effectiveness between MTurk and Prolific for online survey recruitment.

Citations: 1

Sample Size: 699
Repeated Measure Designs are Superior for (Most) Experimental Survey Research Applications

Authors: D Jordan, T Ollerenshaw, A Trexler

Year: 2025

Published in: 2025 - weekendu.uh.edu

Institution: University of Houston, Duke University

Research Area: Experimental Survey Research Methodology

Discipline: Social Science, Research Methodology

Repeated measure designs offer enhanced precision with minimal bias, suitable for various experiments despite slight attenuation of treatment effects.

Methods: Experimentally manipulated six classic political science experiments across three sample types, including extensions with proximity manipulation and sample-type variations.

Key Findings: Suitability and precision of repeated measure designs in survey experiments, including treatment effect estimations and design applicability across different sample types and methodologies.

Citations: 1

Sample Size: 13163