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

Factorial Design02:01

Factorial Design

13.3K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.3K
Two-Way ANOVA01:17

Two-Way ANOVA

2.8K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.8K
One-Way ANOVA01:18

One-Way ANOVA

8.1K
One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
8.1K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

3.5K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.5K
Experimental Designs01:16

Experimental Designs

13.7K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
13.7K
Group Design02:01

Group Design

9.6K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.6K

You might also read

Related Articles

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

Sort by
Same author

Transcription Factor ATF4 Deletion Reprograms Glucose Metabolism in Clear Cell Renal Cell Carcinoma.

Cancers·2026
Same author

Ampyrone is a direct agonist of human tyrosinase and a potential therapeutic for hypopigmentation disorders.

JCI insight·2026
Same author

Targeting melanosome pH is an effective method for the treatment of oculocutaneous albinism.

bioRxiv : the preprint server for biology·2026
Same author

Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer.

Radiology. Imaging cancer·2026
Same author

NPC-SurvAI: A fully automated deep learning framework for prognostic prediction and risk stratification in patients with nasopharyngeal carcinoma.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025
Same author

A transformer-based prognostic signature integrating tumor and body composition CT images predicts postoperative recurrence in gastric cancer.

NPJ digital medicine·2025

Related Experiment Video

Updated: Sep 13, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K

An Aliasing Measure of Factor Effects in Three-Level Regular Designs.

Qiuying Chen1, Zhiming Li1, Zhi Li1

  • 1College of Mathematics and System Science, Xinjiang University, Urumqi 830017, China.

Entropy (Basel, Switzerland)
|July 29, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to assess factor aliasing in three-level regular designs. The proposed aliasing pattern and criterion aid in selecting optimal experimental designs, outperforming existing methods.

Keywords:
algorithmaliasing informationoptimal criterionregular design

More Related Videos

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

912

Related Experiment Videos

Last Updated: Sep 13, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

912

Area of Science:

  • Statistics
  • Experimental Design

Background:

  • Confounding in three-level regular designs differs between factor and component effects.
  • Factor effects' aliasing properties are more significant in experimental models.

Purpose of the Study:

  • Propose a novel three-level aliasing pattern to quantify factor aliasing.
  • Introduce a new criterion for selecting optimal three-level regular designs.

Main Methods:

  • Developed a new classification pattern for aliasing.
  • Introduced a new criterion for optimal design selection.
  • Analyzed relationships between the new criterion and existing ones (e.g., minimum aberration).

Main Results:

  • The proposed aliasing pattern and criterion provide a new way to evaluate factor aliasing.
  • Existing criteria's classification patterns can be represented as functions of the proposed pattern.
  • An aliasing algorithm and comprehensive design comparisons are presented.

Conclusions:

  • The new aliasing pattern and criterion offer a unified approach to understanding and selecting three-level regular designs.
  • This work provides a valuable tool for researchers in experimental design.