2016
DOI: 10.1016/j.ecns.2016.08.006
|View full text |Cite
|
Sign up to set email alerts
|

Generalizability Theory: An Introduction With Application to Simulation Evaluation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
18
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 10 publications
(18 citation statements)
references
References 15 publications
0
18
0
Order By: Relevance
“…As an illustration, medical education is one setting where G theory has been widely used (e.g., Prion et al, 2016). For example, when nursing students are examined on clinical skills, they might encounter ten structured clinical problems (or stations) that they are required to respond to in the presence of an examiner who rates their performance on a 1-10 scale for each problem.…”
Section: Generalizability Theorymentioning
confidence: 99%
“…As an illustration, medical education is one setting where G theory has been widely used (e.g., Prion et al, 2016). For example, when nursing students are examined on clinical skills, they might encounter ten structured clinical problems (or stations) that they are required to respond to in the presence of an examiner who rates their performance on a 1-10 scale for each problem.…”
Section: Generalizability Theorymentioning
confidence: 99%
“…G theory provides researchers with more information to better inform decisions regarding assessments. Two very approachable introductions to G theory are Prion et al and Bloch and Norman [22, 23].…”
Section: Methodsmentioning
confidence: 99%
“…Although attention to reliability and validity is increasingly being reported in the literature, often only coefficient a or interrater reliability statistics are provided to satisfy reliability testing, and usually only vague references are made to experts ensuring content validity. To our knowledge, only one article has described the use of G theory to identify a minimum number of scenarios or minimum number of raters to achieve high reliability in observation-based assessment in nursing (Prion, Gilbert, & Haerling, 2016). On the other hand, studies conducted in medical education using standardized patients and HPSs have successfully utilized G theory to determine the number of scenarios and number of raters needed for reasonable reliability estimates (Boulet & Murray, 2010;Boulet et al, 2003).…”
Section: Generalizability Theorymentioning
confidence: 99%