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

McNemar's Test01:23

McNemar's Test

169
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
169
Response Surface Methodology01:16

Response Surface Methodology

95
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
95
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

5.7K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
5.7K
Cochran's Q Test01:17

Cochran's Q Test

242
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
242
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

160
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
160
The Availability Heuristic01:08

The Availability Heuristic

5.9K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
5.9K

You might also read

Related Articles

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

Sort by
Same author

Self- and informant-based comparison of Dark Triad scales in German adults.

Psychological assessment·2025
Same author

Bayesian Thurstonian IRT Modeling: Logical Dependencies as an Accurate Reflection of Thurstone's Law of Comparative Judgment.

Educational and psychological measurement·2025
Same author

Using the multidimensional nominal response model to model faking in questionnaire data: The importance of item desirability characteristics.

Behavior research methods·2024
Same author

Beta-binomial meta-analysis of individual differences based on sample means and standard deviations: Studying reliability of sum scores of binary items.

Psychological methods·2024
Same author

Estimating and Using Block Information in the Thurstonian IRT Model.

Psychometrika·2023
Same author

Age and gender differences in narcissism: A comprehensive study across eight measures and over 250,000 participants.

Journal of personality and social psychology·2023

Related Experiment Video

Updated: Jun 12, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

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

Published on: June 3, 2013

17.3K

Detecting Careless Responding in Multidimensional Forced-Choice Questionnaires.

Rebekka Kupffer1, Susanne Frick2,3, Eunike Wetzel1

  • 1University of Kaiserslautern-Landau, Germany.

Educational and Psychological Measurement
|September 25, 2024
PubMed
Summary
This summary is machine-generated.

Detecting careless responding in multidimensional forced-choice (MFC) surveys is crucial. This study adapted existing and created new indices, showing they effectively identify inattentive participants in MFC personality questionnaires.

Keywords:
careless respondingdata qualityinattentive respondinginsufficient effort respondingmultidimensional forced-choice formatresponse bias

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.9K
The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm
06:43

The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm

Published on: July 26, 2013

16.0K

Related Experiment Videos

Last Updated: Jun 12, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

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

Published on: June 3, 2013

17.3K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.9K
The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm
06:43

The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm

Published on: July 26, 2013

16.0K

Area of Science:

  • Psychological assessment
  • Survey methodology
  • Personality research

Background:

  • Multidimensional forced-choice (MFC) format is an alternative to traditional rating scales.
  • Detecting careless responding in MFC data is an under-researched area.
  • Existing methods for rating scales may not directly apply to MFC data.

Purpose of the Study:

  • Adapt existing indices for detecting careless responding to the MFC format.
  • Develop novel indices specifically for the MFC format.
  • Evaluate the effectiveness of these indices in identifying careless responding in MFC data.

Main Methods:

  • Adapted and developed several indices for detecting careless responding.
  • Applied these indices to a large online survey dataset (N=1,169) of MFC personality questionnaires.
  • Conducted a simulation study to assess index performance under varying conditions of carelessness.

Main Results:

  • Correlations among the adapted and new indices were lower than typically reported for rating scales.
  • Latent profile analysis indicated that 76-84% of the sample responded carefully.
  • The developed indices generally performed as intended in identifying careless responding patterns.

Conclusions:

  • Careless responding is a significant issue in the multidimensional forced-choice format.
  • The adapted and novel indices show promise for detecting such responding.
  • Recommendations for addressing careless responding in MFC data are discussed.