Simon Grund
Biographic Data
| ID | 1177215 |
|---|---|
| NAME | Simon Grund |
| GIVEN NAMES | Simon |
| FAMILY NAME | Grund |
| SIGNATURE | GRUND S |
| AFFILIATIONS | Universität Hamburg |
| ORCID | 0000-0002-1290-8986 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Exploring paths of change
The emotion regulation (ER) strategies that teachers use impact their personal well-being. As teachers gain job experience, they may select different, more adaptive strategies. Previous research has often focused on individual ER strategies, neglecting the combined use of multiple strategies. We set out to understand how teachers use a range of different strategies to regulate negative emotions, measured at the daily level across two measurement …
Synthetic data as a method for increasing reproducibility and transparency in educational research
Open data are often regarded as an important step towards improving the reproducibility and transparency of educational science. Yet, data sharing remains rare, and without open data, statistical analyses often remain irreproducible. In this article, we provide an introduction to synthetic data, a statistical technique based on multiple imputation (MI) that can be used to create simulated copies of the data that can be shared even when the origin…
How Strongly Is Teachers’ Burnout Related to Teacher Absenteeism, Teacher–Student Interactions, and Student Motivation and Achievement
Teacher burnout is assumed to impair the cognitive, motivational, and social functioning of teachers, thereby hindering their professional behavior. Although this is a rapidly growing field of research, a systematic research synthesis is still lacking. Therefore, we meta-analytically summarized primary studies on the work-related correlates of teacher burnout symptoms in terms of absenteeism, the quality of teacher–student interactions (i.e., emo…
Static versus dynamic representational and decorative pictures in mathematical word problems
Interestingness is in the eye of the beholder – the impact of formative assessment on students’ situational interest in chemistry classrooms
Students’ interest is considered an important learning outcome, but it is also a relevant predictor for student learning, and future vocational choices. According to numerous studies, however, students’ interest in STEM fields usually declines during the course of secondary education. From the perspective of science education, it is therefore necessary to foster or at least maintain students’ interest. Despite the variety of approaches that have …
Response Surface Analysis with Missing Data
Response Surface Analysis (RSA) is gaining popularity in psychological research as a tool for investigating congruence hypotheses (e.g., consequences of self-other agreement, person-job fit, dyadic similarity). RSA involves the estimation of a nonlinear polynomial regression model and the interpretation of the resulting response surface. However, little is known about how best to conduct RSA when the underlying data are incomplete. In this articl…
Multiple Imputation of Missing Data for Multilevel Models
Multiple imputation (MI) is one of the principled methods for dealing with missing data. In addition, multilevel models have become a standard tool for analyzing the nested data structures that result when lower level units (e.g., employees) are nested within higher level collectives (e.g., work groups). When applying MI to multilevel data, it is important that the imputation model takes the multilevel structure into account. In the present paper…
Multiple Imputation of Multilevel Missing Data
The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledge or a high degree of familiarity with certain statistical software. In the missing data literature, pan has been recommended for MI of multilevel data. In this article, we provide an introduction to MI of multilevel missing data using the R package pan, and we discuss …
Multiple Imputation of Multilevel Missing Data
The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledge or a high degree of familiarity with certain statistical software. In the missing data literature, pan has been recommended for MI of multilevel data. In this article, we provide an introduction to MI of multilevel missing data using the R package pan, and we discuss …
Multiple Imputation of Multilevel Missing Data
The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledge or a high degree of familiarity with certain statistical software. In the missing data literature, pan has been recommended for MI of multilevel data. In this article, we provide an introduction to MI of multilevel missing data using the R package pan, and we discuss …
Multiple Imputation of Missing Data for Multilevel Models
Multiple imputation (MI) is one of the principled methods for dealing with missing data. In addition, multilevel models have become a standard tool for analyzing the nested data structures that result when lower level units (e.g., employees) are nested within higher level collectives (e.g., work groups). When applying MI to multilevel data, it is important that the imputation model takes the multilevel structure into account. In the present paper…
Response Surface Analysis with Missing Data
Response Surface Analysis (RSA) is gaining popularity in psychological research as a tool for investigating congruence hypotheses (e.g., consequences of self-other agreement, person-job fit, dyadic similarity). RSA involves the estimation of a nonlinear polynomial regression model and the interpretation of the resulting response surface. However, little is known about how best to conduct RSA when the underlying data are incomplete. In this articl…
Interestingness is in the eye of the beholder – the impact of formative assessment on students’ situational interest in chemistry classrooms
Students’ interest is considered an important learning outcome, but it is also a relevant predictor for student learning, and future vocational choices. According to numerous studies, however, students’ interest in STEM fields usually declines during the course of secondary education. From the perspective of science education, it is therefore necessary to foster or at least maintain students’ interest. Despite the variety of approaches that have …
Static versus dynamic representational and decorative pictures in mathematical word problems
Exploring paths of change
The emotion regulation (ER) strategies that teachers use impact their personal well-being. As teachers gain job experience, they may select different, more adaptive strategies. Previous research has often focused on individual ER strategies, neglecting the combined use of multiple strategies. We set out to understand how teachers use a range of different strategies to regulate negative emotions, measured at the daily level across two measurement …
Synthetic data as a method for increasing reproducibility and transparency in educational research
Open data are often regarded as an important step towards improving the reproducibility and transparency of educational science. Yet, data sharing remains rare, and without open data, statistical analyses often remain irreproducible. In this article, we provide an introduction to synthetic data, a statistical technique based on multiple imputation (MI) that can be used to create simulated copies of the data that can be shared even when the origin…
How Strongly Is Teachers’ Burnout Related to Teacher Absenteeism, Teacher–Student Interactions, and Student Motivation and Achievement
Teacher burnout is assumed to impair the cognitive, motivational, and social functioning of teachers, thereby hindering their professional behavior. Although this is a rapidly growing field of research, a systematic research synthesis is still lacking. Therefore, we meta-analytically summarized primary studies on the work-related correlates of teacher burnout symptoms in terms of absenteeism, the quality of teacher–student interactions (i.e., emo…
Computer Science (4 works) · Data mining (3 works) · Missing data (3 works) · Multilevel model (3 works) · Statistical Methods and Bayesian Inference (3 works) · Early Childhood Education and Development (2 works) · Imputation (statistics) (2 works) · Machine learning (2 works) · Mathematics (2 works) · Psychology (2 works)