T Ollerenshaw: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by T Ollerenshaw in Experimental Survey Research Methodology (2025). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by T Ollerenshaw in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

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