Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

14.4K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.4K
Data Validation01:03

Data Validation

7.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.2K
Data Validation01:15

Data Validation

3.6K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
3.6K
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

9.5K
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
9.5K
Significance Testing: Overview01:04

Significance Testing: Overview

13.1K
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
13.1K
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

30.1K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
30.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Motivation and perceived learning in serious games: Reflexive thematic analysis of educational escape room experiences.

Medical teacher·2026
Same author

Environmental sustainability in palliative care: a narrative review.

Annals of palliative medicine·2026
Same author

Providing a safety net: a qualitative study on supporting medical students during goals of care discussions.

Canadian medical education journal·2026
Same author

A Longitudinal Assessment for Continuing Certification of Anesthesiologists: Utilization, Performance, and Perception of MOCA Minute.

Anesthesiology·2026
Same author

Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.

AEM education and training·2026
Same author

Queensland adult ECMO retrieval service: A description of the service and analysis of outcomes.

Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine·2026

Related Experiment Video

Updated: Apr 12, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K

A contemporary approach to validity arguments: a practical guide to Kane's framework.

David A Cook1,2, Ryan Brydges3,4, Shiphra Ginsburg3,4

  • 1Mayo Clinic Online Learning, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Medical Education
|May 20, 2015
PubMed
Summary

This study introduces Kane's framework for assessment validation, emphasizing key inferences for defensible decisions in medical education. It provides a practical guide for educators to apply this robust approach to various assessment tools.

More Related Videos

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

1.2K

Related Experiment Videos

Last Updated: Apr 12, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K
Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

1.2K

Area of Science:

  • Medical Education
  • Psychometrics
  • Assessment Validation

Background:

  • Assessment validation is crucial in medical education, but prior frameworks lacked clarity and prioritization.
  • Kane's framework offers a structured approach by focusing on key inferences from observation to decision.

Purpose of the Study:

  • To provide an accessible introduction to Kane's framework for educators.
  • To demonstrate the framework's applicability across diverse assessment tools and activities.

Main Methods:

  • The study outlines Kane's four key inferences: Scoring, Generalisation, Extrapolation, and Implications.
  • It emphasizes collecting evidence to support these inferences, prioritizing questionable assumptions.

Main Results:

  • Validation involves articulating claims, testing assumptions, and building a validity argument.
  • Kane's framework applies to both quantitative and qualitative assessments, and individual tests or programs.

Conclusions:

  • Validation centers on evaluating claims and inferences linking scores to their intended use.
  • The 'Implications' inference and its associated decisions are paramount in the validity argument.