Julian F Lohmann
Biographic Data
| ID | 2818936 |
|---|---|
| NAME | Julian F Lohmann |
| GIVEN NAMES | Julian F |
| FAMILY NAME | Lohmann |
| SIGNATURE | LOHMANN J F |
| AFFILIATIONS | Christian-Albrechts-Universität zu Kiel |
| ORCID | 0000-0002-5864-9692 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Pursuing fair writing assessment: Halo effects in primary school foreign language writing in grade six
Assessing the writing competence of pupils learning English as a foreign language (EFL) at primary school is associated with specific challenges because of learners’ limited language resources. This study investigates the extent to which characteristics of their texts trigger so-called halo effects. Halo effects are an assessment bias where the quality of one feature unintentionally influences the evaluation of other aspects. The study examines h…
Evaluating a Bayesian Approach for Estimating Moderator Effects in Parameter-Based Meta-Analytic Structural Equation Modeling
Meta-analytic structural equation modeling (MASEM) enables meta-analytic investigations of multivariate models. A common research objective in meta-analyses is identifying study-level moderators that explain heterogeneity across primary studies. Several MASEM approaches have been extended to include moderators; however, research evaluating and comparing these approaches remains scarce. The present study discusses several parameter-based moderated…
Bayesian Hierarchical Moderated Factor Analysis for Testing Measurement Invariance in Multilevel Data: Model Development, Simulation Studies, and Experience Sampling Application
Testing teacher judgments comprehensively: Accuracy, halo, frame of reference, strategy, and personality effects in holistic and analytic assessments of student essays
Sources and Correlates of Self‐Respect: From System and Ingroup Respect to Prosocial Behaviour
Previous research has shown that self‐respect (i.e., believing that one possesses the same basic rights as others) has a positive impact on concern of one's own rights and the rights of others. Little is known about what sources feed self‐respect and what role it plays in prosocial behaviour. In two studies (an experimental and a preregistered cross‐sectional study), we hypothesized and found that both respect from the ingroup (i.e., one's work g…
Development of grammatical and lexical skills in argumentative EFL writing at upper secondary level in Germany and Switzerland
The ability to write argumentative essays is an important requirement in EFL curricula in Germany and Switzerland, with grammar and lexis serving as indispensable elements of this task. The literature shows that acquiring advanced grammatical and lexical skills is challenging for students, especially genre-specific lexical abilities. In this longitudinal study, we investigate how grammatical and lexical skills develop in two educational systems a…
Data extraction by generative artificial intelligence: Assessing determinants of accuracy using human-extracted data from systematic review databases
Psychological science requires reliable measures. Within systematic literature reviews, reliability hinges on high interrater agreement during data extraction. Yet, the extraction process has been time-consuming. Efforts to accelerate the process using technology have shown limited success until generative artificial intelligence (genAI), particularly large language models (LLMs), accurately extracted variables from medical studies. Nonetheless, …
Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals
The recently proposed continuous-time latent curve model with structured residuals (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle unequally spaced measurement occasions and describes processes independently of the length of the time intervals used i…
Language quality, content, structure: What analytic ratings tell us about EFL writing skills at upper secondary school level in Germany and Switzerland
Argumentative writing in English as a foreign language (EFL) is an important skill in upper secondary education in Germany and Switzerland. This article provides insights into students’ EFL writing skills in the aspects of language quality, content, and structure (N = 2314 TOEFL argumentative essays from two time-points, beginning and end of Year 11). These essays were analyzed by trained human raters using analytic assessment rubrics for each as…
Novick Meets Bayes: Improving the Assessment of Individual Students in Educational Practice and Research by Capitalizing on Assessors’ Prior Beliefs
The assessment of individual students is not only crucial in the school setting but also at the core of educational research. Although classical test theory focuses on maximizing insights from student responses, the Bayesian perspective incorporates the assessor's prior belief, thereby enriching assessment with knowledge gained from previous interactions with the student or with similar students. We propose and illustrate a formal Bayesian approa…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration
This paper introduces Dynamic Intellectual Investment Trait and State Theory, an extension of Intellectual Investment Trait Theory. Our theory extension (a) centers on dynamic within-person effects of cognitive performance states on intellectual investment personality states and vice versa (i.e., reciprocal effects), (b) integrates within-person dynamics and developmental trajectories in cognitive abilities and intellectual investment traits, and…
Socioeconomic Status and Self-Regard: Income Predicts Self-Respect Over Time
Past research has shown that the socioeconomic status (e.g., income or education) is associated with people's self-evaluation, such as global self-esteem. In the present research, we argue that socioeconomic status also affects people's belief of possessing the same rights as others (i.e., self-respect). In a cross-sectional study ( N = 298) and a longitudinal study ( N = 379), we investigated the relationships between income and education with t…
Socioeconomic Status and Self-Regard: Income Predicts Self-Respect Over Time
Past research has shown that the socioeconomic status (e.g., income or education) is associated with people's self-evaluation, such as global self-esteem. In the present research, we argue that socioeconomic status also affects people's belief of possessing the same rights as others (i.e., self-respect). In a cross-sectional study ( N = 298) and a longitudinal study ( N = 379), we investigated the relationships between income and education with t…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration
This paper introduces Dynamic Intellectual Investment Trait and State Theory, an extension of Intellectual Investment Trait Theory. Our theory extension (a) centers on dynamic within-person effects of cognitive performance states on intellectual investment personality states and vice versa (i.e., reciprocal effects), (b) integrates within-person dynamics and developmental trajectories in cognitive abilities and intellectual investment traits, and…
Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals
The recently proposed continuous-time latent curve model with structured residuals (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle unequally spaced measurement occasions and describes processes independently of the length of the time intervals used i…
Language quality, content, structure: What analytic ratings tell us about EFL writing skills at upper secondary school level in Germany and Switzerland
Argumentative writing in English as a foreign language (EFL) is an important skill in upper secondary education in Germany and Switzerland. This article provides insights into students’ EFL writing skills in the aspects of language quality, content, and structure (N = 2314 TOEFL argumentative essays from two time-points, beginning and end of Year 11). These essays were analyzed by trained human raters using analytic assessment rubrics for each as…
Novick Meets Bayes: Improving the Assessment of Individual Students in Educational Practice and Research by Capitalizing on Assessors’ Prior Beliefs
The assessment of individual students is not only crucial in the school setting but also at the core of educational research. Although classical test theory focuses on maximizing insights from student responses, the Bayesian perspective incorporates the assessor's prior belief, thereby enriching assessment with knowledge gained from previous interactions with the student or with similar students. We propose and illustrate a formal Bayesian approa…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration
This paper introduces Dynamic Intellectual Investment Trait and State Theory, an extension of Intellectual Investment Trait Theory. Our theory extension (a) centers on dynamic within-person effects of cognitive performance states on intellectual investment personality states and vice versa (i.e., reciprocal effects), (b) integrates within-person dynamics and developmental trajectories in cognitive abilities and intellectual investment traits, and…
Socioeconomic Status and Self-Regard: Income Predicts Self-Respect Over Time
Past research has shown that the socioeconomic status (e.g., income or education) is associated with people's self-evaluation, such as global self-esteem. In the present research, we argue that socioeconomic status also affects people's belief of possessing the same rights as others (i.e., self-respect). In a cross-sectional study ( N = 298) and a longitudinal study ( N = 379), we investigated the relationships between income and education with t…
Development of grammatical and lexical skills in argumentative EFL writing at upper secondary level in Germany and Switzerland
The ability to write argumentative essays is an important requirement in EFL curricula in Germany and Switzerland, with grammar and lexis serving as indispensable elements of this task. The literature shows that acquiring advanced grammatical and lexical skills is challenging for students, especially genre-specific lexical abilities. In this longitudinal study, we investigate how grammatical and lexical skills develop in two educational systems a…
Data extraction by generative artificial intelligence: Assessing determinants of accuracy using human-extracted data from systematic review databases
Psychological science requires reliable measures. Within systematic literature reviews, reliability hinges on high interrater agreement during data extraction. Yet, the extraction process has been time-consuming. Efforts to accelerate the process using technology have shown limited success until generative artificial intelligence (genAI), particularly large language models (LLMs), accurately extracted variables from medical studies. Nonetheless, …
Pursuing fair writing assessment: Halo effects in primary school foreign language writing in grade six
Assessing the writing competence of pupils learning English as a foreign language (EFL) at primary school is associated with specific challenges because of learners’ limited language resources. This study investigates the extent to which characteristics of their texts trigger so-called halo effects. Halo effects are an assessment bias where the quality of one feature unintentionally influences the evaluation of other aspects. The study examines h…
Evaluating a Bayesian Approach for Estimating Moderator Effects in Parameter-Based Meta-Analytic Structural Equation Modeling
Meta-analytic structural equation modeling (MASEM) enables meta-analytic investigations of multivariate models. A common research objective in meta-analyses is identifying study-level moderators that explain heterogeneity across primary studies. Several MASEM approaches have been extended to include moderators; however, research evaluating and comparing these approaches remains scarce. The present study discusses several parameter-based moderated…
Bayesian Hierarchical Moderated Factor Analysis for Testing Measurement Invariance in Multilevel Data: Model Development, Simulation Studies, and Experience Sampling Application
Testing teacher judgments comprehensively: Accuracy, halo, frame of reference, strategy, and personality effects in holistic and analytic assessments of student essays
Sources and Correlates of Self‐Respect: From System and Ingroup Respect to Prosocial Behaviour
Previous research has shown that self‐respect (i.e., believing that one possesses the same basic rights as others) has a positive impact on concern of one's own rights and the rights of others. Little is known about what sources feed self‐respect and what role it plays in prosocial behaviour. In two studies (an experimental and a preregistered cross‐sectional study), we hypothesized and found that both respect from the ingroup (i.e., one's work g…
Psychology (6 works) · Computer Science (4 works) · Mathematics education (4 works) · Mental Health Research Topics (4 works) · Bayesian probability (3 works) · Psychometric Methodologies and Testing (3 works) · Writing and Handwriting Education (3 works) · Applied Psychology (2 works) · Argumentative (2 works) · Cognitive psychology (2 works)