Dietmar Angerer
Dietmar Angerer works at the LIfBi Research Data Center. He is responsible for editing and preparation the data of the National Educational Panel Study for Scientific Use Files. His tasks also include advising data users via training courses, online discussion forum and e-mail. His main interest lies in the automation and optimization of data preparation and data quality control processes.
Dr. Ann-Christin Bächmann
Ann-Christin Bächmann works as a postdoc in the department "Educational Decisions and Processes, Migration, Returns to Education". Her research interests lie in the area of social inequalities in education and the labour market as well as in occupational, gender and family research. In her dissertation she investigated the relevance of occupational gender segregation for gender inequalities in the German labour market. Recently, her research has focused, among other things, on care arrangements and parental well-being during the COVID 19 pandemic and on fathers' parental leave take-up in Germany. Her work has been published in journals such as European Sociological Review, Social Science Research and Gender, Work & Organization. She has many years of experience working with complex longitudinal administrative (such as SIAB, LIAB) and survey data (NEPS).
Dr. Daniel Fuss
Daniel Fuss is head of the Research Data Center at LIfBi. His main activities refer to the development and improvement of the research data infrastructure around the National Educational Panel Study and further studies conducted at the LIfBi. An important part of these activities includes the organization and implementation of user services such as workshops, data trainings, and summer schools.
Dr. Timo Gnambs
Timo Gnambs manages the research unit Educational Measurement at the LIfBI and is responsible for the scaling and psychometric analysis of competence data in the National Educational Panel Study (NEPS). His research interests focus on psychological assessment, psychometrics, and meta-analytic research methods. In collaboration with national and international partners, he also ventured into applied fields such as educational and media psychology. His work has been published in international peer-reviewed journals such as Assessment, Behavior Research Methods, or Computers in Human Behavior. A full list of publications is available at http://timo.gnambs.at.
Dr. Lydia Kleine
Lydia Kleine is part of the research unit "Research Data Center (FDZ)" at the LIfBi. She is responsible for conceptual and content-related support of the data training, as well as for part of the metadata and documentation. Her research interests include studies on the relationship between social inequality and educational success (especially social relations and educational decision making, effects of school entry age), as well as data citation and data reuse.
Tobias Koberg
Tobias Koberg is also member of the research unit "Research Data Center (FDZ)" at the LIfBi. He is mainly dealing with questions of research data anonymization, data protection, disclosure controls and procedures. His specific interests in providing research data infrastructure are in enriching survey data with regional indicators at different levels.
Dr. Jacqueline Kroh
Jacqueline Kroh works as a postdoc in the unit "Returns to Education" at LIfBi. Her research focuses on social inequalities in education, health, and well-being. In her work, she is mainly interested in modeling causal effects using panel data. Using data from the National Educational Panel Study she investigated the causal effect of education on health and well-being in children and adults. In addition, she examines the effect of the COVID19 pandemic on life satisfaction. She also has experiences in working with competency data with a particular focus on sociological issues, such as the influence of competencies on health and social inequality in competency development in post-compulsory education. She primarily applies methods of panel data analysis and mediation analysis, but also techniques of sequence data analysis and the instrumental variable approach.
Dr. Marie-Ann Sengewald
Marie-Ann Sengewald is a post-doctoral researcher for methods development at the LIfBi and the leader of a project on conceptual replications. Her research focuses on quantitative practices in the field of psychometrics, causal inference, and metascience, with a special interest on the interrelation of these research fields. For her work on latent covariates, she received the Marie-Schlei dissertation award 2020 from the Freie University Berlin. Using data from the National Educational Panel Study, she investigates methods for fair group comparisons; including detection of differential item functioning in test construction, correction for measurement error bias in subsequent analysis, and adjustment for selection bias due to confounding variables. In addition, she particularly aims for bridging the gap between methodological developments and the application in substantive fields, by hands-on example studies, guidelines, or tools. Her work has been published in journals such as The British Journal of Mathematical and Statistical Psychology, Psychometrika, and Psychological Methods.
Jana Welling
Jana Welling is a member of the research unit "Educational Measurement" at the LIfBI. She assists in the scaling and psychometric analysis of competence data in the National Educational Panel Study (NEPS). Using NEPS data, she investigates research questions regarding test-taking behavior, the use of process data, and issues related to gender roles.