Ulrich Schroeders
Biographic Data
| ID | 6212727 |
|---|---|
| NAME | Ulrich Schroeders |
| GIVEN NAMES | Ulrich |
| FAMILY NAME | Schroeders |
| SIGNATURE | SCHROEDERS U |
| AFFILIATIONS | University of Kassel |
| ORCID | 0000-0002-5225-1122 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Model Specification Search in Correlated Factor Models Using Bee Swarm Optimization
We introduce a Bee Swarm Optimization (BSO), a metaheuristic algorithm for correlated factor models that optimizes test construction by simultaneously determining the dimensionality and the optimal item set of a measure. In an extensive simulation study, we systematically varied the number of factors and indicators, the structural complexity, the magnitude of factor correlations, cross-loadings, and the extent of noise items. We benchmarked the B…
Predicting juvenile delinquency and criminal behavior in adulthood using machine learning
By violating social norms, deviant behavior is an important issue that affects society as a whole and has serious consequences for its individuals. Different scientific disciplines have proposed theories of deviant behavior that often fall short of predicting actual behavior. In this registered report, we used data from the longitudinal National Study of Adolescent to Adult Health (Add Health) to examine the predictability of juvenile delinquency…
Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization
Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a psychological measurement instrument. The algorithm assigns items to an unknown number of nested factors in…
The Nomological Net of Knowledge, Self-Reported Knowledge, and Overclaiming in Children
Research on self-reported knowledge and overclaiming in children is sparse. With the current study, we aim to close this gap by developing an overclaiming questionnaire measuring self-reported knowledge and overclaiming that is tailored to children. Moreover, we examine the nomological net of self-reported knowledge and overclaiming in childhood discussing three perspectives: Overclaiming as (a) a result of deliberate self-enhancement tendencies,…
Validation and generalizability of machine learning prediction models on attrition in longitudinal studies
Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus, models that effectively predict who most likely drops out in subsequent occasions might offer the opportu…
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus items), auxiliary or paradata (e.g., response times), or data-driven statistical techniques (e.g., Mahala…
A confirmatory examination of age‐associated personality differences
OBJECTIVE: The goal of this study was to examine age-associated personality differences using a measurement-invariant representation of the higher-order structure of the Five-Factor Model. METHOD: We reanalyzed the German NEO-PI-R norm sample (N = 11,724) and applied ant colony optimization in a multigroup confirmatory factor analysis setting in order to select three items per first-order factor that would optimize model fit and measurement invar…
Equivalence of Screen Versus Print Reading Comprehension Depends on Task Complexity and Proficiency
As reading and reading assessment become increasingly implemented on electronic devices, the question arises whether reading on screen is comparable with reading on paper. To examine potential differences, we studied reading processes on different proficiency and complexity levels. Specifically, we used data from the standardization sample of the German reading comprehension test ELFE II (n = 2,807), which assesses reading at word, sentence, and …
Equivalence of Reading and Listening Comprehension Across Test Media
Whether an ability test delivered on either paper or computer provides the same information is an important question in applied psychometrics. Besides the validity, it is also the fairness of a measure that is at stake if the test medium affects performance. This study provides a comprehensive review of existing equivalence research in the field of reading and listening comprehension in English as a foreign language and specifies factors that are…
Equivalence of Screen Versus Print Reading Comprehension Depends on Task Complexity and Proficiency
As reading and reading assessment become increasingly implemented on electronic devices, the question arises whether reading on screen is comparable with reading on paper. To examine potential differences, we studied reading processes on different proficiency and complexity levels. Specifically, we used data from the standardization sample of the German reading comprehension test ELFE II (n = 2,807), which assesses reading at word, sentence, and …
Equivalence of Reading and Listening Comprehension Across Test Media
Whether an ability test delivered on either paper or computer provides the same information is an important question in applied psychometrics. Besides the validity, it is also the fairness of a measure that is at stake if the test medium affects performance. This study provides a comprehensive review of existing equivalence research in the field of reading and listening comprehension in English as a foreign language and specifies factors that are…
Equivalence of Screen Versus Print Reading Comprehension Depends on Task Complexity and Proficiency
As reading and reading assessment become increasingly implemented on electronic devices, the question arises whether reading on screen is comparable with reading on paper. To examine potential differences, we studied reading processes on different proficiency and complexity levels. Specifically, we used data from the standardization sample of the German reading comprehension test ELFE II (n = 2,807), which assesses reading at word, sentence, and …
A confirmatory examination of age‐associated personality differences
OBJECTIVE: The goal of this study was to examine age-associated personality differences using a measurement-invariant representation of the higher-order structure of the Five-Factor Model. METHOD: We reanalyzed the German NEO-PI-R norm sample (N = 11,724) and applied ant colony optimization in a multigroup confirmatory factor analysis setting in order to select three items per first-order factor that would optimize model fit and measurement invar…
Validation and generalizability of machine learning prediction models on attrition in longitudinal studies
Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus, models that effectively predict who most likely drops out in subsequent occasions might offer the opportu…
Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus items), auxiliary or paradata (e.g., response times), or data-driven statistical techniques (e.g., Mahala…
The Nomological Net of Knowledge, Self-Reported Knowledge, and Overclaiming in Children
Research on self-reported knowledge and overclaiming in children is sparse. With the current study, we aim to close this gap by developing an overclaiming questionnaire measuring self-reported knowledge and overclaiming that is tailored to children. Moreover, we examine the nomological net of self-reported knowledge and overclaiming in childhood discussing three perspectives: Overclaiming as (a) a result of deliberate self-enhancement tendencies,…
Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization
Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a psychological measurement instrument. The algorithm assigns items to an unknown number of nested factors in…
Model Specification Search in Correlated Factor Models Using Bee Swarm Optimization
We introduce a Bee Swarm Optimization (BSO), a metaheuristic algorithm for correlated factor models that optimizes test construction by simultaneously determining the dimensionality and the optimal item set of a measure. In an extensive simulation study, we systematically varied the number of factors and indicators, the structural complexity, the magnitude of factor correlations, cross-loadings, and the extent of noise items. We benchmarked the B…
Predicting juvenile delinquency and criminal behavior in adulthood using machine learning
By violating social norms, deviant behavior is an important issue that affects society as a whole and has serious consequences for its individuals. Different scientific disciplines have proposed theories of deviant behavior that often fall short of predicting actual behavior. In this registered report, we used data from the longitudinal National Study of Adolescent to Adult Health (Add Health) to examine the predictability of juvenile delinquency…
Psychology (7 works) · Computer Science (5 works) · Developmental psychology (5 works) · Mathematics (5 works) · Artificial Intelligence (4 works) · Machine learning (4 works) · Social Psychology (4 works) · Statistics (3 works) · Structural equation modeling (3 works) · Advanced Multi-Objective Optimization Algorithms (2 works)