What predicts variation in reliability and validity of online peer assessment? A large‐scale cross‐context study

Author:

Xiong Yao1,Schunn Christian D.2ORCID,Wu Yong3ORCID

Affiliation:

1. Roblox Corporation San Mateo California USA

2. Learning Research and Development Center University of Pittsburgh Pittsburgh Pennsylvania USA

3. School of Humanities Beijing University of Posts and Telecommunications Beijing China

Abstract

AbstractBackgroundFor peer assessment, reliability (i.e., consistency in ratings across peers) and validity (i.e., consistency of peer ratings with instructors or experts) are frequently examined in the research literature to address a central concern of instructors and students. Although the average levels are generally promising, both reliability and validity can vary substantially from context to context. Meta‐analyses have identified a few moderators that are related to peer assessment reliability/validity, but they have lacked statistical power to systematically investigate many moderators or disentangle correlated moderators.ObjectivesThe current study fills this gap by addressing what variables influence peer assessment reliability/validity using a large‐scale, cross‐context dataset from a shared online peer assessment platform.MethodsUsing multi‐level structural equation models, we examined three categories of variables: (1) variables related to the context of peer assessment; (2) variables related to the peer assessment task itself; and (3) variables related to rating rubrics of peer assessment.Results and ConclusionsWe found that the extent to which assessment documents varied in quality on the given rubric played a central role in mediating the effect from different predictors to peer assessment reliability/validity. Other variables that are significantly associated with reliability and validity included: Education Level, Language, Discipline, Average Ability of Peer Raters, Draft Number, Assignment Number, Class Size, Average Number of Raters, and Length of Rubric Description. The results provide information to guide practitioners on how to improve reliability and validity of peer assessments.

Publisher

Wiley

Subject

Computer Science Applications,Education

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