Steffen Zitzmann
Dados Biográficos
| ID | 1661356 |
|---|---|
| NOME | Steffen Zitzmann |
| PRENOMES | Steffen |
| SOBRENOME | Zitzmann |
| ASSINATURA | ZITZMANN S |
| AFILIAÇÕES | MSH Medical School Hamburg – University of Applied Sciences and Medical University |
| ORCID | 0000-0002-7595-4736 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 33 |
| TOTAL DE CITAÇÕES | 5 |
| TOTAL COMO AUTOR | 33 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2015 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Fast-Track Your Abstract Screening
Research syntheses, such as systematic reviews and meta-analyses, are crucial for synthesizing research to support evidence-based decision-making. However, the abstract-screening phase, during which researchers evaluate titles and abstracts for inclusion, is highly time-consuming and often results in cognitive biases and fatigue. To address these challenges, machine-learning-assisted tools, particularly those using active learning, have gained pr…
Regarding caveats on reliability evidence
Bayesian Hierarchical Moderated Factor Analysis for Testing Measurement Invariance in Multilevel Data
How should pretest measures be included in multilevel models when examining the effects of teacher or school variables on learning
Comparing machine learning methods for predicting dark triad personality traits using social media text data
The Dark Triad (DT) personality traits, characterized by manipulativeness, callousness, and egocentrism, are linked to both negative outcomes such as aggression and delinquency, as well as positive outcomes like career success. This study aims to compare different machine learning models for predicting DT traits − Narcissism, Machiavellianism, and Psychopathy − using social media text data from Facebook status updates and personality questionnair…
Effects of online teacher professional development on teacher-, classroom-, and student-level outcomes
Teachers’ professional development is crucial for effective classroom practice. Due to its advantages, many teachers have participated in online professional development (OPD) in recent years. Numerous studies have investigated the participation and effect of first- to 12th-grade in-service teachers’ OPD participation on the teacher, classroom practice, or student level. However, a comprehensive meta-analysis of these studies is missing. This met…
Problematic Use of Video Games, Social Media, and Alcohol
Background/Objectives: The problematic use of video games (PG), social media (PSMU), and alcohol (PAU) is widespread from adolescence onwards. According to theoretical models, personality traits are relevant for these problematic behavioral patterns; however, only very few longitudinal studies are available. The aim of this longitudinal study was to investigate for the first time whether Big Five personality dimensions (BFPD) are predictors for t…
Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework
The waning willpower
Research has shown that current mental fatigue and self-control capacity play a crucial role in the goal-directed regulation of emotion, motivation, and cognition. However, we still do not fully understand if the emergence of fatigue during the exercise of cognitive performance indicates a person's trait fatigue vulnerability. In this longitudinal study, we repeatedly measured the self-reported perceived control capacity of N = 2,094 trainees ove…
Investigating the impact of perceived mental fatigue on sustained attention performance
110 tenth graders, while they completed the d2-R test of sustained attention. By statistically controlling for social desirability, we examined relationships between perceived fatigue and the initial levels and slopes of three latent growth-curves capturing changes in the d2-R test's performance measures. Individuals with higher fatigue exhibited lower concentration performance, a weaker decline in processing speed, and a higher error rate over t…
Studying Between-Subject Differences in Trends and Dynamics
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…
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget
Planning longitudinal studies can be challenging as various design decisions need to be made. Often, researchers are in search for the optimal design that maximizes statistical power to test certain parameters of the employed model. We provide a user-friendly Shiny app OptDynMo available at https://shiny.psychologie.hu-berlin.de/optdynmo that helps to find the optimal number of persons (N) and the optimal number of time points (T) for which the p…
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores
We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from two consecutive measurements and then subtract these scores from one another, (b) the ad-hoc approach, which is similar to the former approach but uses regression scores instead of scale scores, and (c) Kelley’s approach, which computes the change score d…
To Be Long or To Be Wide
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect these approaches to perform similarly. However, the two data formats yield data matrices with different numbers of columns and rows, and their cols : rows is related to the magnitude of eigenvalue bias in sample covariance matrices. Previous studies have s…
Epistemic virtue in higher education
Epistemic virtues are character traits conducive to principled ways of thinking, leading to a life of flourishing. Recent years have witnessed an emergence of theoretical accounts describing how they develop. However, few if any studies have conducted rigorous empirical investigation into the mechanisms of intellectual virtue development. In this study, we review several significant frameworks before utilizing a randomized, pretest/posttest contr…
Two-way immersion promotes additional language learning
Multilingualism is often associated with advantages for acquiring additional languages. Theoretical approaches explain these advantages by assuming a Common Underlying Proficiency or a Metalinguistic Awareness. At the State Europe School in Berlin, students from different language backgrounds receive instruction in German and a partner language according to two-way immersion (TWI). It is unclear how this bilingual instruction affects the acquisit…
Novick Meets Bayes
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…
Cultural diversity climate in school
This first-of-its-kind meta-analysis (N = 79 studies; 56,552 students; k = 640 effects) provides a comprehensive assessment of five cultural diversity climate approaches that capture different ways of addressing cultural diversity in K-12 schools. We examined how intergroup contact theory's optimal contact conditions, multiculturalism climate, colorblind climate, critical consciousness climate, and polyculturalism climate were associated with chi…
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized estimation approach designed for scenarios with both a small number of groups and small group sizes, an…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory
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…
Individualized teacher frame of reference and student self-concept within and between school subjects
Helm F, Wolff F, Möller J, Zitzmann S, Marsh HW, Dicke T. Individualized teacher frame of reference and student self-concept within and between school subjects. Journal of Educational Psychology . 2023;115(2):309-329
Does Respect Foster Tolerance? (Re)analyzing and Synthesizing Data From a Large Research Project Using Meta-Analytic Techniques
Our own prior research has demonstrated that respect for disapproved others predicts and might foster tolerance toward them. This means that without giving up their disapproval of others’ way of life, people can tolerate others when they respect them as equals (outgroup respect–tolerance hypothesis). Still, there was considerable variation in the study features. Moreover, the studies are part of a larger research project that affords many additio…
The “situative nature” of competence and value beliefs and the predictive power of autonomy support
In their situated expectancy-value theory, Eccles and Wigfield (2020) assume students' competence and value beliefs to be situation-specific and thereby to be "situative" in nature.Even though motivation research has gradually been developing an understanding of this situative nature, for instance, by disentangling time-consistent and fluctuating proportions of competence and value beliefs at the analytical level of the individual, most studies s…
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models
Cross-lagged panel models have been commonly applied to investigate the dynamic interplay of variables. In such discrete-time models, the size of the cross-lagged effects depends on the length of the time interval between the measurement occasions. Continuous-time modeling allows to explore this interval dependence of cross-lagged effects and thus to identify the maximal “peak” cross-lagged effects. To detect these peak effects, sufficient statis…
Sample Size Recommendations for Continuous-Time Models
Autoregressive modeling has traditionally been concerned with time-series data from one unit ( N = 1). For short time series ( T T, another source of information is often available for model estimation, that is, the persons ( N > 1). In this work, we illustrate the N / T compensation effect: With an increasing number of persons N at constant T , the model estimation performance increases, and vice versa, with an increasing number of time points T…
The meaning of respect under varying context conditions
The concept of respect figures prominently in several theories on intergroup relations. Previous studies suggested that the experience of being respected is primarily related to the feeling of being recognized as an equal, as opposed to social recognition of needs or achievements. Those studies focused, however, on either minority groups or ad hoc groups, thereby possibly giving equality recognition an advantage. This article extends previous fin…
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized estimation approach designed for scenarios with both a small number of groups and small group sizes, an…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory
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…
Dynamics of respect
In (post-)modern, plural societies, consisting of numerous subgroups, mutual respect between groups plays a central role for a constructive social and political life. In this article, we examine whether group members’ perception of being respected by outgroups fosters respect for these outgroups. In Study 1, we employed a panel sample of supporters of the Tea Party movement in the United States (N = 422). In Study 2, we employed a panel sample of…
A Bayesian Approach to More Stable Estimates of Group-Level Effects in Contextual Studies
Multilevel analyses are often used to estimate the effects of group-level constructs. However, when using aggregated individual data (e.g., student ratings) to assess a group-level construct (e.g., classroom climate), the observed group mean might not provide a reliable measure of the unobserved latent group mean. In the present article, we propose a Bayesian approach that can be used to estimate a multilevel latent covariate model, which correct…
A Computationally More Efficient and More Accurate Stepwise Approach for Correcting for Sampling Error and Measurement Error
Over the last decade or two, multilevel structural equation modeling (ML-SEM) has become a prominent modeling approach in the social sciences because it allows researchers to correct for sampling and measurement errors and thus to estimate the effects of Level 2 (L2) constructs without bias. Because the latent variable modeling software Mplus uses maximum likelihood (ML) by default, many researchers in the social sciences have applied ML to obtai…
A Meta-Analysis of Relations Between Achievement and Self-Concept
According to the internal/external frame of reference model, academic achievement has a strong impact on people’s self-concept, both within and between subjects. We conducted a series of meta-analyses of k = 505 data sets containing the six bivariate correlations between achievement and self-concept in two subjects. Negative paths from achievement to noncorresponding self-concept, indicating dimensional comparison effects, were strongest when the…
Dynamics of respect
In (post-)modern, plural societies, consisting of numerous subgroups, mutual respect between groups plays a central role for a constructive social and political life. In this article, we examine whether group members’ perception of being respected by outgroups fosters respect for these outgroups. In Study 1, we employed a panel sample of supporters of the Tea Party movement in the United States (N = 422). In Study 2, we employed a panel sample of…
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models
Cross-lagged panel models have been commonly applied to investigate the dynamic interplay of variables. In such discrete-time models, the size of the cross-lagged effects depends on the length of the time interval between the measurement occasions. Continuous-time modeling allows to explore this interval dependence of cross-lagged effects and thus to identify the maximal “peak” cross-lagged effects. To detect these peak effects, sufficient statis…
Sample Size Recommendations for Continuous-Time Models
Autoregressive modeling has traditionally been concerned with time-series data from one unit ( N = 1). For short time series ( T T, another source of information is often available for model estimation, that is, the persons ( N > 1). In this work, we illustrate the N / T compensation effect: With an increasing number of persons N at constant T , the model estimation performance increases, and vice versa, with an increasing number of time points T…
On the Performance of Bayesian Approaches in Small Samples
This journal recently published a systematic review of simulation studies on the performance of Bayesian approaches for estimating latent variable models in small samples. The authors of this review highlighted that Bayesian approaches can perform poorly (i.e., by exhibiting bias) when the prior distributions are not thoughtfully constructed on the basis of previous knowledge. In this comment, we question whether the bias is the most important cr…
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores
In the analysis of hierarchical data, multilevel structural equation modeling (multilevel SEM) has become the standard in the social sciences. To estimate these models, maximum likelihood (ML) approaches have been applied because they are the default in latent variable software. However, one drawback of ML is that it tends to suffer from estimation problems such as nonconvergence when the sample size is small to moderate, and the results that com…
Moderators of dimensional comparison effects
Wolff F, Zitzmann S, Möller J. Moderators of dimensional comparison effects: A comprehensive replication study putting prior findings on five moderators to the test and going beyond. Journal of Educational Psychology . 2021;113(3):621-640
The meaning of respect under varying context conditions
The concept of respect figures prominently in several theories on intergroup relations. Previous studies suggested that the experience of being respected is primarily related to the feeling of being recognized as an equal, as opposed to social recognition of needs or achievements. Those studies focused, however, on either minority groups or ad hoc groups, thereby possibly giving equality recognition an advantage. This article extends previous fin…
Does Respect Foster Tolerance? (Re)analyzing and Synthesizing Data From a Large Research Project Using Meta-Analytic Techniques
Our own prior research has demonstrated that respect for disapproved others predicts and might foster tolerance toward them. This means that without giving up their disapproval of others’ way of life, people can tolerate others when they respect them as equals (outgroup respect–tolerance hypothesis). Still, there was considerable variation in the study features. Moreover, the studies are part of a larger research project that affords many additio…
The “situative nature” of competence and value beliefs and the predictive power of autonomy support
In their situated expectancy-value theory, Eccles and Wigfield (2020) assume students' competence and value beliefs to be situation-specific and thereby to be "situative" in nature.Even though motivation research has gradually been developing an understanding of this situative nature, for instance, by disentangling time-consistent and fluctuating proportions of competence and value beliefs at the analytical level of the individual, most studies s…
Individualized teacher frame of reference and student self-concept within and between school subjects
Helm F, Wolff F, Möller J, Zitzmann S, Marsh HW, Dicke T. Individualized teacher frame of reference and student self-concept within and between school subjects. Journal of Educational Psychology . 2023;115(2):309-329
Studying Between-Subject Differences in Trends and Dynamics
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…
Finding the Optimal Number of Persons ( N ) and Time Points ( T ) for Maximal Power in Dynamic Longitudinal Models Given a Fixed Budget
Planning longitudinal studies can be challenging as various design decisions need to be made. Often, researchers are in search for the optimal design that maximizes statistical power to test certain parameters of the employed model. We provide a user-friendly Shiny app OptDynMo available at https://shiny.psychologie.hu-berlin.de/optdynmo that helps to find the optimal number of persons (N) and the optimal number of time points (T) for which the p…
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores
We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from two consecutive measurements and then subtract these scores from one another, (b) the ad-hoc approach, which is similar to the former approach but uses regression scores instead of scale scores, and (c) Kelley’s approach, which computes the change score d…
To Be Long or To Be Wide
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect these approaches to perform similarly. However, the two data formats yield data matrices with different numbers of columns and rows, and their cols : rows is related to the magnitude of eigenvalue bias in sample covariance matrices. Previous studies have s…
Epistemic virtue in higher education
Epistemic virtues are character traits conducive to principled ways of thinking, leading to a life of flourishing. Recent years have witnessed an emergence of theoretical accounts describing how they develop. However, few if any studies have conducted rigorous empirical investigation into the mechanisms of intellectual virtue development. In this study, we review several significant frameworks before utilizing a randomized, pretest/posttest contr…
Two-way immersion promotes additional language learning
Multilingualism is often associated with advantages for acquiring additional languages. Theoretical approaches explain these advantages by assuming a Common Underlying Proficiency or a Metalinguistic Awareness. At the State Europe School in Berlin, students from different language backgrounds receive instruction in German and a partner language according to two-way immersion (TWI). It is unclear how this bilingual instruction affects the acquisit…
Novick Meets Bayes
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…
Cultural diversity climate in school
This first-of-its-kind meta-analysis (N = 79 studies; 56,552 students; k = 640 effects) provides a comprehensive assessment of five cultural diversity climate approaches that capture different ways of addressing cultural diversity in K-12 schools. We examined how intergroup contact theory's optimal contact conditions, multiculturalism climate, colorblind climate, critical consciousness climate, and polyculturalism climate were associated with chi…
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized estimation approach designed for scenarios with both a small number of groups and small group sizes, an…
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory
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…
Effects of online teacher professional development on teacher-, classroom-, and student-level outcomes
Teachers’ professional development is crucial for effective classroom practice. Due to its advantages, many teachers have participated in online professional development (OPD) in recent years. Numerous studies have investigated the participation and effect of first- to 12th-grade in-service teachers’ OPD participation on the teacher, classroom practice, or student level. However, a comprehensive meta-analysis of these studies is missing. This met…
Problematic Use of Video Games, Social Media, and Alcohol
Background/Objectives: The problematic use of video games (PG), social media (PSMU), and alcohol (PAU) is widespread from adolescence onwards. According to theoretical models, personality traits are relevant for these problematic behavioral patterns; however, only very few longitudinal studies are available. The aim of this longitudinal study was to investigate for the first time whether Big Five personality dimensions (BFPD) are predictors for t…
Psychology (18 obras) · Mathematics (16 obras) · Statistics (16 obras) · Computer Science (14 obras) · Social Psychology (12 obras) · Econometrics (11 obras) · Multilevel model (9 obras) · Psychometric Methodologies and Testing (9 obras) · Developmental psychology (7 obras) · Mental Health Research Topics (6 obras)