Philipp Doebler
Biographic Data
| ID | 1751836 |
|---|---|
| NAME | Philipp Doebler |
| GIVEN NAMES | Philipp |
| FAMILY NAME | Doebler |
| SIGNATURE | DOEBLER P |
| AFFILIATIONS | TU Dortmund University |
| ORCID | 0000-0002-2946-8526 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Cross-course generalizability of SRL-aligned predictive models using digital learning traces
SRL-aligned digital trace indicators enable early prediction of exam risk in theory-intensive computer science courses. • Predictive models generalize only partially across courses and institutions, with substantial performance loss under base-rate shifts. • Elastic Net models generalize more robustly than high-performing ensemble methods despite lower in-sample accuracy. • Probability calibration improves the interpretability of predicted risk b…
Effects of Appearance Preoccupation and Safety Behaviors in Body Dysmorphic Disorder
We assessed relations of daily appearance-related preoccupation and safety behavior. • Adults with body dysmorphic disorder (BDD) and healthy controls were compared. • higher body dissatisfaction and conviction following appearance-related processes. • BDD participants endorsed higher negative affect following preoccupation and gazing. • Results for positive affect & delayed effects (≥ 30 min later) were not significant. Body dysmorphic disorder …
Fifty years later and still working
Automated scoring of divergent thinking tasks is a current hot topic in creativity research.Most of the debated approaches are unsupervised machine learning approaches and researchers seemingly just started to evaluate supervised approaches.Hence, rediscovering the seminal work of Paulus et al. (1970) came as a big surprise to us.More than fifty years ago, they derived prediction formulas for an automated scoring of the Torrance Test of Creative …
Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples
R and Python Code for: "Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples"
Reliable individual differences in researcher performance capacity estimates
Are latent variables of researcher performance capacity merely elaborate proxies of productivity? To investigate this research question, we propose extensions of recently used item-response theory models for the estimation of researcher performance capacity. We argue that productivity should be considered as a potential explanatory variable of reliable individual differences between researchers. Thus, we extend the Conway-Maxwell Poisson counts m…
Bayesian Thurstonian IRT Modeling
Thurstonian item response theory (Thurstonian IRT) is a well-established approach to latent trait estimation with forced choice data of arbitrary block lengths. In the forced choice format, test takers rank statements within each block. This rank is coded with binary variables. Since each rank is awarded exactly once per block, stochastic dependencies arise, for example, when options A and B have ranks 1 and 3, C must have rank 2 in a block of le…
Differential Item Functioning Analysis of Likert Scales
An important psychometric property in educational and psychological testing is differential item functioning (DIF), assessing whether different subgroups respond differently to particular items within a scale, despite having the same overall ability level. In fact, DIF occurs when respondents with the same underlying trait level have different probabilities of selecting specific response categories, depending on their subgroup membership. This st…
Investigating Differential Item Functioning of the Simplified Beck Depression Inventory Using Partial Credit Tree Model
Importance of students’ social resources for their academic achievement and well-being in elementary school
Based on the relationships motivation theory, it can be assumed that social interactions in elementary school are essential for students’ development and especially for their school success. Thus, this study examined how vital social resources, more precisely social interactions with peers and teachers, are for two central aspects of school success, namely academic achievement and well-being. To this end, the representative German PIRLS 2016 data…
Why summing up bibliometric indicators does not justify a composite indicator
Various bibliometric indicators have been used to assess the researchers’ impact, but composites of such indicators, namely a metric that combines various individual indicators to describe a complex construct, have received a strong critique thus far. We employ concepts from psychometrics to revisit a composite proposed by Ioannidis et al. (2020) that aimed to represent researcher impact. Based on a selected sample of highly cited researchers, ou…
Circumventing construct-irrelevant variance in international assessments using cognitive diagnostic modeling
Understanding Ability and Reliability Differences Measured with Count Items
In psychology and education, tests (e.g., reading tests) and self-reports (e.g., clinical questionnaires) generate counts, but corresponding Item Response Theory (IRT) methods are underdeveloped compared to binary data. Recent advances include the Two-Parameter Conway-Maxwell-Poisson model (2PCMPM), generalizing Rasch's Poisson Counts Model, with item-specific difficulty, discrimination, and dispersion parameters. Explaining differences in model …
Parent–child interactive behavior in a German sample of parents with and without a mental illness
Studies using observational measures often fail to meet statistical standards for both reliability and validity. The present study examined the psychometric properties of the Coding Interactive Behavior (CIB) System within a German sample of parent-child dyads. The sample consisted of 149 parents with and without a mental illness and their children [n experimental group (EG) = 75, n control group (CG) = 74] who participated in the larger Children…
Risks and protective measures for synthetic relationships
The Machines Take Over
Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter‐rater‐variance). Second, individual raters are prone to inconsistent scoring patterns (intra‐rater‐variance). In light of these issues, we present an approach for automated scoring of Divergent Thinking (DT)…
Prediction of Bike‐sharing Trip Counts
Regression models are commonly applied in the analysis of transportation data. This research aims at broadening the range of methods used for this task by modeling the spatial distribution of bike‐sharing trips in Cologne, Germany, applying both parametric regression models and a modified machine learning approach while incorporating measures to account for spatial autocorrelation. Independent variables included in the models consist of land use …
Rotate and Project
What to do when item response data are multidimensional but a unidimensional model is preferred in terms of statistical simplicity and ease of interpretability? The projection method for the compensatory logistic multidimensional item response model for dichotomous data leads to a two parameter logistic model with local item dependence. Despite the local item dependence, the model is unidimensional for many practical purposes. Here, Ip's projecti…
Reliability of researcher capacity estimates and count data dispersion
Item-response models from the psychometric literature have been proposed for the estimation of researcher capacity. Canonical items that can be incorporated in such models to reflect researcher performance are count data (e.g., number of publications, number of citations). Count data can be modeled by Rasch’s Poisson counts model that assumes equidispersion (i.e., mean and variance must coincide). However, the mean can be larger as compared to th…
Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading
Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, reasoning as well as risk factors, self-concept and self-esteem. Based on measurements in grades five to nine, this paper produces theory-based partially mediated latent growth models with multiple indic…
Individualized Assignments, Group Work and Discussions
Varied teaching techniques are an important aspect of a successful classroom. Student and classroom factors such as ability level, lower socioeconomic status and/or native language can interact with teaching techniques. Previous work suggests that each teaching technique may be more effective for different students or in different classroom situations, but few studies have directly examined which factors relate to effective teaching techniques. T…
Everyday emotional dynamics in major depression
The present study aimed to investigate the everyday emotional dynamics of depressed individuals, especially the role of emotional inertia, emotional context insensitivity, and emotional variability and instability. Using ecological momentary assessment, 40 currently depressed individuals and 40 healthy controls reported on their current emotional state and current activities 10 times a day for 4 consecutive days. There were no differences in the …
Introduction to the Rasch Poisson Counts Model
The Rasch Poisson Counts Model is the oldest Rasch model developed by the Danish mathematician Georg Rasch in 1952. Nevertheless, the model has had limited applications in psychoeducational assessment. With the rise of neurocognitive and psychomotor testing, there is more room for new applications of the model where other item response theory models cannot be applied. In this paper, we give a general introduction to the Rasch Poisson Counts Model…
Childhood maltreatment and characteristics of adult depression
BACKGROUND: Childhood maltreatment has been discussed as a risk factor for the development and maintenance of depression. AIMS: To examine the relationship between childhood maltreatment and adult depression with regard to depression incidence, severity, age at onset, course of illness and treatment response. METHOD: We conducted meta-analyses of original articles reporting an association between childhood maltreatment and depression outcomes in …
Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading
Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, reasoning as well as risk factors, self-concept and self-esteem. Based on measurements in grades five to nine, this paper produces theory-based partially mediated latent growth models with multiple indic…
Childhood maltreatment and characteristics of adult depression
BACKGROUND: Childhood maltreatment has been discussed as a risk factor for the development and maintenance of depression. AIMS: To examine the relationship between childhood maltreatment and adult depression with regard to depression incidence, severity, age at onset, course of illness and treatment response. METHOD: We conducted meta-analyses of original articles reporting an association between childhood maltreatment and depression outcomes in …
Everyday emotional dynamics in major depression
The present study aimed to investigate the everyday emotional dynamics of depressed individuals, especially the role of emotional inertia, emotional context insensitivity, and emotional variability and instability. Using ecological momentary assessment, 40 currently depressed individuals and 40 healthy controls reported on their current emotional state and current activities 10 times a day for 4 consecutive days. There were no differences in the …
Introduction to the Rasch Poisson Counts Model
The Rasch Poisson Counts Model is the oldest Rasch model developed by the Danish mathematician Georg Rasch in 1952. Nevertheless, the model has had limited applications in psychoeducational assessment. With the rise of neurocognitive and psychomotor testing, there is more room for new applications of the model where other item response theory models cannot be applied. In this paper, we give a general introduction to the Rasch Poisson Counts Model…
Individualized Assignments, Group Work and Discussions
Varied teaching techniques are an important aspect of a successful classroom. Student and classroom factors such as ability level, lower socioeconomic status and/or native language can interact with teaching techniques. Previous work suggests that each teaching technique may be more effective for different students or in different classroom situations, but few studies have directly examined which factors relate to effective teaching techniques. T…
Reliability of researcher capacity estimates and count data dispersion
Item-response models from the psychometric literature have been proposed for the estimation of researcher capacity. Canonical items that can be incorporated in such models to reflect researcher performance are count data (e.g., number of publications, number of citations). Count data can be modeled by Rasch’s Poisson counts model that assumes equidispersion (i.e., mean and variance must coincide). However, the mean can be larger as compared to th…
Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading
Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, reasoning as well as risk factors, self-concept and self-esteem. Based on measurements in grades five to nine, this paper produces theory-based partially mediated latent growth models with multiple indic…
Rotate and Project
What to do when item response data are multidimensional but a unidimensional model is preferred in terms of statistical simplicity and ease of interpretability? The projection method for the compensatory logistic multidimensional item response model for dichotomous data leads to a two parameter logistic model with local item dependence. Despite the local item dependence, the model is unidimensional for many practical purposes. Here, Ip's projecti…
The Machines Take Over
Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter‐rater‐variance). Second, individual raters are prone to inconsistent scoring patterns (intra‐rater‐variance). In light of these issues, we present an approach for automated scoring of Divergent Thinking (DT)…
Prediction of Bike‐sharing Trip Counts
Regression models are commonly applied in the analysis of transportation data. This research aims at broadening the range of methods used for this task by modeling the spatial distribution of bike‐sharing trips in Cologne, Germany, applying both parametric regression models and a modified machine learning approach while incorporating measures to account for spatial autocorrelation. Independent variables included in the models consist of land use …
Importance of students’ social resources for their academic achievement and well-being in elementary school
Based on the relationships motivation theory, it can be assumed that social interactions in elementary school are essential for students’ development and especially for their school success. Thus, this study examined how vital social resources, more precisely social interactions with peers and teachers, are for two central aspects of school success, namely academic achievement and well-being. To this end, the representative German PIRLS 2016 data…
Why summing up bibliometric indicators does not justify a composite indicator
Various bibliometric indicators have been used to assess the researchers’ impact, but composites of such indicators, namely a metric that combines various individual indicators to describe a complex construct, have received a strong critique thus far. We employ concepts from psychometrics to revisit a composite proposed by Ioannidis et al. (2020) that aimed to represent researcher impact. Based on a selected sample of highly cited researchers, ou…
Circumventing construct-irrelevant variance in international assessments using cognitive diagnostic modeling
Understanding Ability and Reliability Differences Measured with Count Items
In psychology and education, tests (e.g., reading tests) and self-reports (e.g., clinical questionnaires) generate counts, but corresponding Item Response Theory (IRT) methods are underdeveloped compared to binary data. Recent advances include the Two-Parameter Conway-Maxwell-Poisson model (2PCMPM), generalizing Rasch's Poisson Counts Model, with item-specific difficulty, discrimination, and dispersion parameters. Explaining differences in model …
Parent–child interactive behavior in a German sample of parents with and without a mental illness
Studies using observational measures often fail to meet statistical standards for both reliability and validity. The present study examined the psychometric properties of the Coding Interactive Behavior (CIB) System within a German sample of parent-child dyads. The sample consisted of 149 parents with and without a mental illness and their children [n experimental group (EG) = 75, n control group (CG) = 74] who participated in the larger Children…
Risks and protective measures for synthetic relationships
Fifty years later and still working
Automated scoring of divergent thinking tasks is a current hot topic in creativity research.Most of the debated approaches are unsupervised machine learning approaches and researchers seemingly just started to evaluate supervised approaches.Hence, rediscovering the seminal work of Paulus et al. (1970) came as a big surprise to us.More than fifty years ago, they derived prediction formulas for an automated scoring of the Torrance Test of Creative …
Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples
R and Python Code for: "Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples"
Reliable individual differences in researcher performance capacity estimates
Are latent variables of researcher performance capacity merely elaborate proxies of productivity? To investigate this research question, we propose extensions of recently used item-response theory models for the estimation of researcher performance capacity. We argue that productivity should be considered as a potential explanatory variable of reliable individual differences between researchers. Thus, we extend the Conway-Maxwell Poisson counts m…
Bayesian Thurstonian IRT Modeling
Thurstonian item response theory (Thurstonian IRT) is a well-established approach to latent trait estimation with forced choice data of arbitrary block lengths. In the forced choice format, test takers rank statements within each block. This rank is coded with binary variables. Since each rank is awarded exactly once per block, stochastic dependencies arise, for example, when options A and B have ranks 1 and 3, C must have rank 2 in a block of le…
Differential Item Functioning Analysis of Likert Scales
An important psychometric property in educational and psychological testing is differential item functioning (DIF), assessing whether different subgroups respond differently to particular items within a scale, despite having the same overall ability level. In fact, DIF occurs when respondents with the same underlying trait level have different probabilities of selecting specific response categories, depending on their subgroup membership. This st…
Investigating Differential Item Functioning of the Simplified Beck Depression Inventory Using Partial Credit Tree Model
Cross-course generalizability of SRL-aligned predictive models using digital learning traces
SRL-aligned digital trace indicators enable early prediction of exam risk in theory-intensive computer science courses. • Predictive models generalize only partially across courses and institutions, with substantial performance loss under base-rate shifts. • Elastic Net models generalize more robustly than high-performing ensemble methods despite lower in-sample accuracy. • Probability calibration improves the interpretability of predicted risk b…
Effects of Appearance Preoccupation and Safety Behaviors in Body Dysmorphic Disorder
We assessed relations of daily appearance-related preoccupation and safety behavior. • Adults with body dysmorphic disorder (BDD) and healthy controls were compared. • higher body dissatisfaction and conviction following appearance-related processes. • BDD participants endorsed higher negative affect following preoccupation and gazing. • Results for positive affect & delayed effects (≥ 30 min later) were not significant. Body dysmorphic disorder …
Psychology (15 works) · Computer Science (10 works) · Developmental psychology (7 works) · Econometrics (7 works) · Mathematics (7 works) · Statistics (7 works) · Clinical Psychology (6 works) · Psychometric Methodologies and Testing (6 works) · Psychometrics (6 works) · Artificial Intelligence (5 works)