Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Guidelines and Strategies for Safe Computer Charting

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:

The R Chart

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...

Pareto Chart

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

Interpreting R Charts

Interpreting R Charts

R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum values—of a sample...

Methods of Documentation IV: Focus Charting

Methods of Documentation IV: Focus Charting

Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:

The X̄ Chart

The X̄ Chart

The x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...

You might also read

Related Articles

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

Sort by

Same author

Comparing global and community indicators of safety and peace.

African journal of psychological assessment·2026

Same author

Survival outcomes of cervical cancer patients treated with external beam radiotherapy boost in Rwanda.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society·2026

Same author

Prevalence and Impact of Disorders of Gut-Brain Interaction in France: Results From the Rome Foundation Global Epidemiology Study.

Neurogastroenterology and motility·2026

Same author

Triple-stack geostatistical modeling for urban injury: Integrating grids, built environment, and Poisson kriging for pedestrian fatalities in Cali, Colombia.

Health informatics journal·2026

Same author

Prevalence and Burden of Fatigue Across Disorders of Gut-Brain Interaction: Results From the Rome Foundation Global Epidemiology Study.

Alimentary pharmacology & therapeutics·2026

Same author

Association of Air Pollution With Brain Health: A Cross-Sectional Analysis of Adults Living in Canada.

Stroke·2026

Search research articles

Related Experiment Video

Updated: May 9, 2026

Detection of Small GTPase Prenylation and GTP Binding Using Membrane Fractionation and GTPase-linked Immunosorbent Assay

Detection of Small GTPase Prenylation and GTP Binding Using Membrane Fractionation and GTPase-linked Immunosorbent Assay

Published on: November 11, 2018

The agreement chart.

Shrikant I Bangdiwala¹, Viswanathan Shankar

¹Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA. kant@unc.edu

BMC Medical Research Methodology

|July 30, 2013

Summary

Bangdiwala's agreement chart visually complements summary statistics for assessing measurement concordance in ordinal data. This graphical method aids researchers in understanding data relationships, but should not replace traditional statistics.

Area of Science:

Statistics
Medical Informatics
Data Visualization

Background:

Traditional summary measures like Cohen's kappa and Bangdiwala's B-statistic are used for assessing agreement in ordinal categorical data.
These single measures may not capture the full information present in the data.

Purpose of the Study:

To describe the construction and interpretation of Bangdiwala's agreement chart.
To illustrate the use of this chart for visually assessing concordance in clinical data.

Main Methods:

Development of Bangdiwala's agreement chart for visualizing concordance.
Application of the chart in several clinical examples to demonstrate its utility.

Main Results:

Agreement charts offer a richer visual understanding of concordance than summary statistics alone.

More Related Videos

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

Related Experiment Videos

Last Updated: May 9, 2026

Detection of Small GTPase Prenylation and GTP Binding Using Membrane Fractionation and GTPase-linked Immunosorbent Assay

Detection of Small GTPase Prenylation and GTP Binding Using Membrane Fractionation and GTPase-linked Immunosorbent Assay

Published on: November 11, 2018

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

Summary statistics condense data into a single characteristic, potentially losing nuances visible in charts.

Conclusions:

Bangdiwala's agreement chart should supplement, not replace, summary statistics like kappa or B-statistic.
The chart serves as a valuable initial tool for researchers to explore data relationships when assessing concordance.