Related Experiment Video
Updated: Aug 9, 2026

A Within-Subject Experimental Design using an Object Location Task in Rats
Published on: May 6, 2021
The meaning and suitability of various effect sizes for structured Rater x Ratee designs
Johannes Hönekopp1, Betsy Jane Becker, Frederick L Oswald
1Technische Universitat Chemnitz, Institut fur Psychologie, Chemnitz, Germany. johannes.hoenekopp@phil.tu-chemnitz.de
Abstract:
Four types of analysis are commonly applied to data from structured Rater x Ratee designs. These types are characterized by the unit of analysis, which is either raters or ratees, and by the design used, which is either between-units or within-unit design. The 4 types of analysis are quite different, and therefore they give rise to effect sizes that differ in their substantive interpretations. In most cases, effect sizes based on between-ratee analysis have the least ambiguous meaning and will best serve the aims of meta-analysts and primary researchers. Effect sizes that arise from within-unit designs confound the strength of an effect with its homogeneity. Nonetheless, the authors identify how a range of effect-size types such as these serve the aims of meta-analysis appropriately.
Related Concept Videos
Odds Ratio
Group Design
Friedman Two-way Analysis of Variance by Ranks
Response Surface Methodology
The process of RSM involves several key steps:
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Ratio Level of Measurement
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...
