Table Presentation and Regression Interpretation

Last registered on February 25, 2025
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Pre-Trial

Trial Information

General Information

Title
Table Presentation and Regression Interpretation
RCT ID
AEARCTR-0015414
Initial registration date
February 20, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
February 25, 2025, 10:31 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Name
Michaela Slotwinski
Affiliation
University of Zurich
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Other Primary Investigator(s)

PI Name
Jakob Schmidhäuser
PI Affiliation
ZEW Mannheim
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PI Name
Kurt Schmidheiny
PI Affiliation
University of Basel
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Additional Trial Information

Status
In development
Start date
2025-02-24
End date
2028-12-31
Keywords
Behavior
Additional Keywords
processing statistical information, visual cue, statistical significance
JEL code(s)
C0, C1, Y1
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The goal of this study is to better understand and document how the visual presentation of regression results (in tables) affects their comprehension, perception, and processing efficiency.
External Link(s)

Registration Citation

Citation
Schmidheiny, Kurt, Jakob Schmidhäuser and Michaela Slotwinski. 2025. "Table Presentation and Regression Interpretation." AEA RCT Registry. February 25. https://doi.org/10.1257/rct.15414-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
We will randomly expose study participants to different formats of regression result presentations.
Intervention Start Date
2025-02-24
Intervention End Date
2025-05-01

Primary Outcomes

Primary Outcomes (end points)
Interpretation of statistical significance of results; Interpretation of substantiveness of results;Feeling of certainty;Interpretation efficiency
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We randomize participants who enter the study and who pass the screening questions to one of four conditions.
Experimental Design Details
Not available
Randomization Method
Individual-level randomization performed with Qualtrics.
Randomization Unit
Randomization on the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1
Sample size: planned number of observations
We are aiming for a sample size of at least 300 students. We do not have a predetermined number of observations planned, as invitations to the study will be sent university's mass mailing system and use screening criteria. It will ultimately depend on the response rate.
Sample size (or number of clusters) by treatment arms
We expect around 1/4 of observations in each condition.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
The Human Subjects Committee of the Faculty of Economics, Business Administration and Information Technology at the University of Zurich
IRB Approval Date
2024-12-19
IRB Approval Number
OEC IRB # 2024-107
Analysis Plan

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