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

Introduction to R

Introduction to R

R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's functionality,...

Behavioral Genetics and Its Designs

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

Statistical Package for the Social Sciences (SPSS)

Statistical Package for the Social Sciences (SPSS)

The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

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...

You might also read

Related Articles

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

Sort by

Same author

A sequential approach for noninferiority or equivalence of a linear contrast under cost constraints.

Psychological methods·2023

Same author

Sample size planning for replication studies: The devil is in the design.

Psychological methods·2022

Same author

Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure.

Psychological methods·2020

Same author

Indirect Effects in Sequential Mediation Models: Evaluating Methods for Hypothesis Testing and Confidence Interval Formation.

Multivariate behavioral research·2019

Same author

Common language effect size for correlations.

The Journal of general psychology·2019

Same author

Sequential accuracy in parameter estimation for population correlation coefficients.

Psychological methods·2019

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Methods for the behavioral, educational, and social sciences: an R package.

¹Inquiry Methodolgy Program, Indiana University, Bloomington, Indiana 47405, USA. kkiii@indiana.edu

Behavior Research Methods

|January 11, 2008

Summary

The Methods for the Behavioral, Educational, and Social Sciences (MBESS) package provides specialized statistical tools for R users. It offers functions for confidence intervals and sample size planning crucial for social science research.

More Related Videos

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

A User-friendly and Powerful R Analysis of Large-scale Datasets

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Related Experiment Videos

Last Updated: Jul 8, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

A User-friendly and Powerful R Analysis of Large-scale Datasets

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Area of Science:

Behavioral, Educational, and Social Sciences
Statistical Computing
Quantitative Psychology

Background:

The behavioral, educational, and social sciences often employ unique statistical techniques.
Existing statistical software may lack specialized functions for these disciplines.
The R programming environment is widely used for statistical analysis.

Purpose of the Study:

To introduce the Methods for the Behavioral, Educational, and Social Sciences (MBESS) package for R.
To highlight the utility of MBESS for researchers in the social sciences.
To provide access to advanced statistical methods not readily available elsewhere.

Main Methods:

Development of an open-source R package named MBESS.
Implementation of functions for confidence interval formation (noncentral t, F, chi2).
Inclusion of methods for standardized effect size confidence intervals and sample size planning (power analysis, accuracy in parameter estimation).

Main Results:

MBESS offers a comprehensive suite of functions tailored to social science research needs.
The package facilitates the calculation of confidence intervals for various statistical parameters.
MBESS supports critical sample size planning from both power analytic and accuracy perspectives.

Conclusions:

The MBESS package enhances statistical analysis capabilities for researchers in the behavioral, educational, and social sciences.
It provides accessible, specialized tools to support rigorous quantitative research.
MBESS is an ongoing project committed to expanding its offerings for methodologists and substantive researchers.