Jochen Ranger
Biographic Data
| ID | 7116008 |
|---|---|
| NAME | Jochen Ranger |
| GIVEN NAMES | Jochen |
| FAMILY NAME | Ranger |
| SIGNATURE | RANGER J |
| AFFILIATIONS | Martin Luther University Halle-Wittenberg |
| ORCID | 0000-0001-5110-1213 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Detecting Cheating in Large-Scale Assessment
Recent approaches to the detection of cheaters in tests employ detectors from the field of machine learning. Detectors based on supervised learning algorithms achieve high accuracy but require labeled data sets with identified cheaters for training. Labeled data sets are usually not available at an early stage of the assessment period. In this article, we discuss the approach of adapting a detector that was trained previously with a labeled train…
Disentangling Different Aspects of Change in Tests with the D-Diffusion Model
Diffusion-based item response theory models are measurement models that link parameters of the diffusion model (drift rate, boundary separation) to latent traits of test takers. Similar to standard latent trait models, they assume the invariance of the test takers' latent traits during a test. Previous research, however, suggests that traits change as test takers learn or decrease their effort. In this paper, we combine the diffusion-based item r…
Modeling Responses and Response Times in Tests With the Hierarchical Model and the Three-Parameter Lognormal Distribution
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels—one for the responses and one for the response times—that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a skew distribution with a support from zero to infinity. Such a support is unrealistic as the solution p…
Minimum Distance Estimation of Multidimensional Diffusion-Based Item Response Theory Models
Diffusion-based item response theory models are models for responses and response times on psychological tests, which can be used as measurement models in the same way as standard item response theory models (Tuerlinckx, Molenaar, & van der Maas, 2016 Tuerlinckx, F., Molenaar, D., & van der Maas, H. (2016). Diffusion-based item response theory modeling. In W. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory. London: C…
A Mixture Proportional Hazards Model With Random Effects for Response Times in Tests
In this article, a new model for test response times is proposed that combines latent class analysis and the proportional hazards model with random effects in a similar vein as the mixture factor model. The model assumes the existence of different latent classes. In each latent class, the response times are distributed according to a class-specific proportional hazards model. The class-specific proportional hazards models relate the response time…
Response Time Modeling Based on the Proportional Hazards Model
Response time data are regularly analyzed in psychology. When several response times are assessed per participant, it is common practice to use latent trait models in order to account for the dependency of the response times from the same participant. One such model is the proportional hazards model with random effects. Despite its popularity in survival analysis, this model is rarely used in psychology because of the difficulty of model estimati…
Assessing Personality Traits Through Response Latencies Using Item Response Theory
Recent studies have revealed a relation between the given response and the response latency for personality questionnaire items in the form of an inverted-U effect, which has been interpreted in light of schema-driven behavior. In general, more probable responses are given faster. In the present study, the relationship between the probability of the given response and the response latency was investigated. First, a probabilistic model was introdu…
Does Self-Consciousness Mediate the Relation between Self-Talk and Self-Knowledge
Building on Morin's understanding of the relations among self-talk, self-consciousness, and self-knowledge, this study examined the hypothesis that functional and dysfunctional self-consciousness mediate between self-talk and self-knowledge. A self-report questionnaire including 10 scales assessing different aspects of Self-talk, Self-consciousness, and Self-knowledge was administered to 200 German undergraduate university students (95 women, 105…
No prominent works on this page.
Does Self-Consciousness Mediate the Relation between Self-Talk and Self-Knowledge
Building on Morin's understanding of the relations among self-talk, self-consciousness, and self-knowledge, this study examined the hypothesis that functional and dysfunctional self-consciousness mediate between self-talk and self-knowledge. A self-report questionnaire including 10 scales assessing different aspects of Self-talk, Self-consciousness, and Self-knowledge was administered to 200 German undergraduate university students (95 women, 105…
Assessing Personality Traits Through Response Latencies Using Item Response Theory
Recent studies have revealed a relation between the given response and the response latency for personality questionnaire items in the form of an inverted-U effect, which has been interpreted in light of schema-driven behavior. In general, more probable responses are given faster. In the present study, the relationship between the probability of the given response and the response latency was investigated. First, a probabilistic model was introdu…
Response Time Modeling Based on the Proportional Hazards Model
Response time data are regularly analyzed in psychology. When several response times are assessed per participant, it is common practice to use latent trait models in order to account for the dependency of the response times from the same participant. One such model is the proportional hazards model with random effects. Despite its popularity in survival analysis, this model is rarely used in psychology because of the difficulty of model estimati…
A Mixture Proportional Hazards Model With Random Effects for Response Times in Tests
In this article, a new model for test response times is proposed that combines latent class analysis and the proportional hazards model with random effects in a similar vein as the mixture factor model. The model assumes the existence of different latent classes. In each latent class, the response times are distributed according to a class-specific proportional hazards model. The class-specific proportional hazards models relate the response time…
Modeling Responses and Response Times in Tests With the Hierarchical Model and the Three-Parameter Lognormal Distribution
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels—one for the responses and one for the response times—that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a skew distribution with a support from zero to infinity. Such a support is unrealistic as the solution p…
Minimum Distance Estimation of Multidimensional Diffusion-Based Item Response Theory Models
Diffusion-based item response theory models are models for responses and response times on psychological tests, which can be used as measurement models in the same way as standard item response theory models (Tuerlinckx, Molenaar, & van der Maas, 2016 Tuerlinckx, F., Molenaar, D., & van der Maas, H. (2016). Diffusion-based item response theory modeling. In W. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory. London: C…
Detecting Cheating in Large-Scale Assessment
Recent approaches to the detection of cheaters in tests employ detectors from the field of machine learning. Detectors based on supervised learning algorithms achieve high accuracy but require labeled data sets with identified cheaters for training. Labeled data sets are usually not available at an early stage of the assessment period. In this article, we discuss the approach of adapting a detector that was trained previously with a labeled train…
Disentangling Different Aspects of Change in Tests with the D-Diffusion Model
Diffusion-based item response theory models are measurement models that link parameters of the diffusion model (drift rate, boundary separation) to latent traits of test takers. Similar to standard latent trait models, they assume the invariance of the test takers' latent traits during a test. Previous research, however, suggests that traits change as test takers learn or decrease their effort. In this paper, we combine the diffusion-based item r…
Mathematics (7 works) · Computer Science (6 works) · Statistics (6 works) · Econometrics (5 works) · Artificial Intelligence (4 works) · Artificial Intelligence (4 works) · Item response theory (4 works) · Psychometrics (4 works) · Psychology (3 works) · Statistical Methods and Bayesian Inference (3 works)