Related Experiment Video
Updated: Feb 9, 2026
08:51
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
6.1K
The Person-Fit Statistic in an Unfolding Model Context
1University of Groningen, Groningen, The Netherlands.
Applied Psychological Measurement
|June 9, 2018
Summary
This study evaluated a person-fit statistic for the generalized graded unfolding model. It effectively identified midpoint response styles but struggled with extreme response styles in simulations.
Area of Science:
- Psychometrics
- Educational Measurement
Background:
- Person-fit analysis traditionally uses dominance response models.
- Limited application of person-fit statistics with unfolding models.
Purpose of the Study:
- To assess a log likelihood-based parametric person-fit statistic within the generalized graded unfolding model.
- To evaluate its effectiveness in detecting response style patterns.
Main Methods:
- Utilized a simulation study.
- Applied a parametric person-fit statistic based on log likelihood.
- Framework: Generalized Graded Unfolding Model.
Main Results:
- The person-fit statistic performed well in detecting midpoint response style patterns.
- The statistic showed lower performance in detecting extreme response style patterns.
Conclusions:
- The evaluated person-fit statistic is promising for identifying specific response styles in unfolding models.
- Further research may be needed to improve detection of extreme response styles.
Related Concept Videos
01:13Induced-fit Model
89.4K
Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
89.4K
01:09Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
7.0K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
7.0K
01:37The Unfolded Protein Response
6.4K
The ER is the hub of protein synthesis in a cell. It has robust systems to quality control protein folding and also for degradation of terminally misfolded proteins. Under normal conditions, a small proportion of misfolded proteins that cannot be salvaged need to be transported to the cytoplasm by the ER-associated degradation or ERAD pathways. However, if the ERAD cannot handle the misfolded proteins, the cell activates the unfolded protein response or UPR to adjust the protein folding...
6.4K
01:50Statistical Significance
22.1K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.1K
01:30Self Within Cultural Contexts
241
Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
241
00:57Inclusive Fitness
42.1K
Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
42.1K