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

Framing Effects03:26

Framing Effects

7.6K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.6K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

3.4K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.4K
Group Design02:01

Group Design

9.9K
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...
9.9K
Halo Effect01:27

Halo Effect

112
The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
112
Nursing Evaluation01:15

Nursing Evaluation

3.8K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.8K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.5K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.5K

You might also read

Related Articles

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

Sort by
Same author

Temporally Dynamic, Cohort-Varying Value-Added Models.

Psychometrika·2026
Same author

Solution-Focused Brief Intervention for Substance Use: Protocol for a Multisite Randomized Controlled Trial.

JMIR research protocols·2025
Same author

A Systematic Evaluation of Wording Effects Modeling Under the Exploratory Structural Equation Modeling Framework.

Multivariate behavioral research·2025
Same author

Cross-Cultural Validation of the Binge Eating Disorder Screener-7 (BEDS-7) Across 42 Countries.

The International journal of eating disorders·2025
Same author

From missing data to informative GPA predictions: Navigating selection process beliefs with the partial identifiability approach.

The British journal of mathematical and statistical psychology·2024
Same author

Psychometric properties and invariance testing of the Cannabis Refusal Self-Efficacy Scale in a Chilean sample.

The American journal of drug and alcohol abuse·2024

Related Experiment Video

Updated: Nov 4, 2025

A Tablet-Based Curriculum-Based Measurement Protocol for Kindergarten Writing
15:00

A Tablet-Based Curriculum-Based Measurement Protocol for Kindergarten Writing

Published on: February 7, 2025

859

Wording Effects in Assessment: Missing the Trees for the Forest.

Fernando P Ponce1, David Torres Irribarra1, Alvaro Vergés1

  • 1Escuela de Psicología, Pontificia Universidad Católica de Chile.

Multivariate Behavioral Research
|May 28, 2021
PubMed
Summary

This study introduces a latent profile model to analyze wording effects in psychological assessments, identifying subgroups of individuals affected by item wording. This approach offers a novel way to understand response patterns and improve measurement accuracy.

Keywords:
Rosenberg’s self-esteem scaleWording effectsconfirmatory factor analysisiteratively reweighted least squareslatent profile analysis

More Related Videos

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
06:33

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding

Published on: October 11, 2018

7.0K
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

991

Related Experiment Videos

Last Updated: Nov 4, 2025

A Tablet-Based Curriculum-Based Measurement Protocol for Kindergarten Writing
15:00

A Tablet-Based Curriculum-Based Measurement Protocol for Kindergarten Writing

Published on: February 7, 2025

859
Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
06:33

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding

Published on: October 11, 2018

7.0K
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

991

Area of Science:

  • Psychological Measurement
  • Quantitative Psychology
  • Statistical Modeling

Background:

  • Wording effects in psychological assessments are often analyzed using statistical models assuming population homogeneity.
  • Traditional methods like Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), often employing bifactor models, aim to separate trait variance from wording effects.
  • These approaches may overlook population heterogeneity, where specific subgroups exhibit differential responses based on item wording.

Purpose of the Study:

  • To present an alternative approach for analyzing wording effects by explicitly modeling population heterogeneity.
  • To introduce a latent profile model (a type of mixture model) as a tool to identify and characterize subgroups of respondents affected by item wording.
  • To examine the impact of these identified subgroups on the estimation of measurement models, specifically the Rosenberg's Self-Esteem Scale (RSES).

Main Methods:

  • Utilized a latent profile model to explicitly account for population heterogeneity in response patterns.
  • Applied the model to Rosenberg's Self-Esteem Scale (RSES) data from the LISS Panel (N=6,762) across three studies.
  • Compared the results with traditional one-factor and bifactor models to assess the impact on measurement model fit (global and individual).

Main Results:

  • Identified a distinct subgroup of participants who respond differentially based on item wording (positive vs. negative).
  • Demonstrated that this subgroup's responses significantly impact the estimation of the RSES measurement model.
  • Showed that the latent profile model provides a more nuanced understanding of wording effects compared to homogeneity-based models.

Conclusions:

  • Supports the interpretation of wording effects as a theoretically grounded differential response pattern to item phrasing.
  • Highlights the utility of latent profile modeling for distinguishing artifactual from substantive interpretations of wording effects.
  • Offers a valuable methodological tool for researchers seeking to improve the accuracy and comparability of psychological assessments.