Timo Seitz
Biographic Data
| ID | 9252030 |
|---|---|
| NAME | Timo Seitz |
| GIVEN NAMES | Timo |
| FAMILY NAME | Seitz |
| SIGNATURE | SEITZ T |
| AFFILIATIONS | University of Mannheim |
| ORCID | 0000-0002-7375-4511 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Faking in High-Stakes Personality Assessments
When personality assessments are employed in high-stakes contexts, there is the risk that test-takers provide overly positive descriptions of themselves. This response bias is known as faking and has often been addressed in latent variable models through an additional dimension capturing each test-taker’s faking degree. Such models typically assume a homogeneous response strategy for all test-takers, with substantive traits and faking jointly inf…
“What If Applicants Fake Their Responses?”
Self-report personality tests used in high-stakes assessments hold the risk that test-takers engage in faking. In this article, we demonstrate an extension of the multidimensional nominal response model (MNRM) to account for the response bias of faking. The MNRM is a flexible item response theory (IRT) model that allows modeling response biases whose effect patterns vary between items. In a simulation, we found good parameter recovery of the mode…
Disentangling Qualitatively Different Faking Strategies in High-Stakes Personality Assessments
High-stakes personality assessments are often compromised by faking, where test-takers distort their responses according to social desirability. Many previous models have accounted for faking by modeling an additional latent dimension that quantifies each test-taker’s degree of faking. Such models assume a homogeneous response strategy among all test-takers, reflected in a measurement model in which substantive traits and faking jointly influence…
No prominent works on this page.
“What If Applicants Fake Their Responses?”
Self-report personality tests used in high-stakes assessments hold the risk that test-takers engage in faking. In this article, we demonstrate an extension of the multidimensional nominal response model (MNRM) to account for the response bias of faking. The MNRM is a flexible item response theory (IRT) model that allows modeling response biases whose effect patterns vary between items. In a simulation, we found good parameter recovery of the mode…
Disentangling Qualitatively Different Faking Strategies in High-Stakes Personality Assessments
High-stakes personality assessments are often compromised by faking, where test-takers distort their responses according to social desirability. Many previous models have accounted for faking by modeling an additional latent dimension that quantifies each test-taker’s degree of faking. Such models assume a homogeneous response strategy among all test-takers, reflected in a measurement model in which substantive traits and faking jointly influence…
Faking in High-Stakes Personality Assessments
When personality assessments are employed in high-stakes contexts, there is the risk that test-takers provide overly positive descriptions of themselves. This response bias is known as faking and has often been addressed in latent variable models through an additional dimension capturing each test-taker’s faking degree. Such models typically assume a homogeneous response strategy for all test-takers, with substantive traits and faking jointly inf…
Personality (3 works) · Personality Traits and Psychology (3 works) · Cognitive Abilities and Testing (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Dimension (graph theory) (2 works) · Econometrics (2 works) · Item response theory (2 works) · Mathematics (2 works) · Personality test (2 works)