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

Stereotype Content Model

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...

Causes of Similarity-Dissimilarity Effect

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...

Factorial Design

Factorial Design

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...

Scaling

Scaling

In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...

You might also read

Related Articles

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

Sort by

Same author

A Quasi-Metric Approach to Multidimensional Unfolding for Reducing the Occurrence of Degenerate Solutions.

Multivariate behavioral research·2016

Same author

The limit of anemia tolerance during hyperoxic ventilation with pure oxygen in anesthetized domestic pigs.

European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes·2014

Same author

Hyperoxic ventilation increases the tolerance of acute normovolemic anemia in anesthetized pigs.

Critical care medicine·2006

Same author

Variability of fine particle dose and lung deposition of budesonide delivered through two multidose dry powder inhalers.

Current medical research and opinion·2005

Same author

An enema formulation of alicaforsen, an antisense inhibitor of intercellular adhesion molecule-1, in the treatment of chronic, unremitting pouchitis.

Alimentary pharmacology & therapeutics·2004

Same author

Clinical correlation with changing radiographic appearance during partial liquid ventilation.

Chest·2001

Same journal

Bayesian Machine Learning Tools for Alcohol Use Disorder Research: The bpaup R Package.

Multivariate behavioral research·2026

Same journal

A Unified Framework for Jointly modelling Response Times and Item Position Effects in Computer-Based Learning Assessments.

Multivariate behavioral research·2026

Same journal

Generalizability Theory Applied to Daily Relationship Quality: Substantive and Statistical Directions.

Multivariate behavioral research·2026

Same journal

A Modularized Higher-Order Diagnostic Classification Model for Clustered Attribute Hierarchies.

Multivariate behavioral research·2026

Same journal

Generalizing Causal Effects to a Target Population Without Individual-Level Data from the Target Population.

Multivariate behavioral research·2026

Same journal

betaselectr: Selective (and Proper) Standardization in Structural Equation Models.

Multivariate behavioral research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 27, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

A Multidimensional Scaling Model Accommodating Differential Stimulus Familiarity.

T H Bijmolt, W S DeSarbo, M Wedel

Multivariate Behavioral Research

|January 16, 2016

Summary

This summary is machine-generated.

This study presents a new multidimensional scaling method to create spatial maps of stimuli, accounting for how familiar people are with them. This approach improves understanding of perception by removing familiarity bias in judgment data.

More Related Videos

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Related Experiment Videos

Last Updated: Mar 27, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Area of Science:

Psychology
Marketing Science
Data Analysis

Background:

Multidimensional scaling (MDS) is widely used to map perceptions.
Subject familiarity with stimuli can bias dissimilarity judgments in MDS.
Existing MDS models often do not account for this familiarity bias.

Purpose of the Study:

To develop a novel MDS procedure to generate spatial representations of stimuli.
To unconfound stimulus spatial representations from subjects' familiarity with the stimuli.
To model the effect of stimulus unfamiliarity on dissimilarity judgments.

Main Methods:

Introduced a multidimensional scaling procedure incorporating stimulus familiarity data.
The model assumes unfamiliarity causes anchoring bias on the response scale.
Input data includes stimulus familiarity and pairwise dissimilarity judgments.

Main Results:

A Monte Carlo simulation assessed the procedure's parameter recovery accuracy.
Empirical applications demonstrated the model's utility in real-world positioning studies.
The method successfully generated spatial representations adjusted for familiarity.

Conclusions:

The proposed MDS procedure effectively removes familiarity bias from spatial representations.
This method offers a more accurate way to understand stimulus perception and positioning.
Validated through simulations and empirical studies on magazines and banks.