Niklas Schulte
Biographic Data
| ID | 6196662 |
|---|---|
| NAME | Niklas Schulte |
| GIVEN NAMES | Niklas |
| FAMILY NAME | Schulte |
| SIGNATURE | SCHULTE N |
| AFFILIATIONS | University of Münster |
| ORCID | 0009-0004-5720-5178 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Status and the Self
OBJECTIVE: In popular discourse, personal success is often attributed to mindset. In psychological science, such claims correspond to self-related core beliefs-generalized self-representations. However, the lack of a comprehensive framework has prevented systematic investigation of their links to socioeconomic inequality. The present study aimed to provide the first systematic mapping of how socioeconomic status (SES) is reflected in individuals'…
Risk it, if you dare
The adoption of generative artificial intelligence (GenAI) is influenced by perceived risks, which can impact perceptions of performance, effort, and emotions. Understanding how different facets of risk drive functional and non-functional perceptions and lead to actual use would be crucial to improving its acceptance and adoption in knowledge work. By assessing performance, privacy, psychological, social, and time risk, and incorporating them int…
Do ethnic, migration‐based, and regional language varieties put applicants at a disadvantage? A meta‐analysis of biases in personnel selection
This meta‐analysis examined biases in personnel selection owing to applicants' use of non‐standard language such as ethnic and migration‐based language varieties or regional dialects. The analysis summarized the results of 22 studies with a total N of 3615 raters that compared applicants with an accent or dialect with applicants speaking standard language. The primary studies used different standard and non‐standard languages and assessed differe…
Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats
Forced-choice questionnaires can prevent faking and other response biases typically associated with rating scales. However, the derived trait scores are often unreliable and ipsative, making interindividual comparisons in high-stakes situations impossible. Several studies suggest that these problems vanish if the number of measured traits is high. To determine the necessary number of traits under varying sample sizes, factor loadings, and intertr…
On the Statistical and Practical Limitations of Thurstonian IRT Models
Forced-choice questionnaires have been proposed to avoid common response biases typically associated with rating scale questionnaires. To overcome ipsativity issues of trait scores obtained from classical scoring approaches of forced-choice items, advanced methods from item response theory (IRT) such as the Thurstonian IRT model have been proposed. For convenient model specification, we introduce the thurstonianIRT R package, which uses Mplus, la…
No prominent works on this page.
On the Statistical and Practical Limitations of Thurstonian IRT Models
Forced-choice questionnaires have been proposed to avoid common response biases typically associated with rating scale questionnaires. To overcome ipsativity issues of trait scores obtained from classical scoring approaches of forced-choice items, advanced methods from item response theory (IRT) such as the Thurstonian IRT model have been proposed. For convenient model specification, we introduce the thurstonianIRT R package, which uses Mplus, la…
Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats
Forced-choice questionnaires can prevent faking and other response biases typically associated with rating scales. However, the derived trait scores are often unreliable and ipsative, making interindividual comparisons in high-stakes situations impossible. Several studies suggest that these problems vanish if the number of measured traits is high. To determine the necessary number of traits under varying sample sizes, factor loadings, and intertr…
Do ethnic, migration‐based, and regional language varieties put applicants at a disadvantage? A meta‐analysis of biases in personnel selection
This meta‐analysis examined biases in personnel selection owing to applicants' use of non‐standard language such as ethnic and migration‐based language varieties or regional dialects. The analysis summarized the results of 22 studies with a total N of 3615 raters that compared applicants with an accent or dialect with applicants speaking standard language. The primary studies used different standard and non‐standard languages and assessed differe…
Status and the Self
OBJECTIVE: In popular discourse, personal success is often attributed to mindset. In psychological science, such claims correspond to self-related core beliefs-generalized self-representations. However, the lack of a comprehensive framework has prevented systematic investigation of their links to socioeconomic inequality. The present study aimed to provide the first systematic mapping of how socioeconomic status (SES) is reflected in individuals'…
Risk it, if you dare
The adoption of generative artificial intelligence (GenAI) is influenced by perceived risks, which can impact perceptions of performance, effort, and emotions. Understanding how different facets of risk drive functional and non-functional perceptions and lead to actual use would be crucial to improving its acceptance and adoption in knowledge work. By assessing performance, privacy, psychological, social, and time risk, and incorporating them int…
Computer Science (2 works) · Mathematics (2 works) · Psychology (2 works) · Social and Intergroup Psychology (2 works) · Social Psychology (2 works) · Statistics (2 works) · AI in Service Interactions (1 work) · Behavioral Health and Interventions (1 work) · Biology (1 work) · Cell Biology (1 work)