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Dr. Maja Flaig



Project Manager

(CEval GmbH)

E-Mail: m.flaig(at)
Telefon:  +49 - (0)6 81 - 387539 - 72 
Sprechzeiten: By appointment
CEval GmbH
Dudweiler Landstraße 5
66123 Saarbrücken

Contact research



Quantitative methods

Professional Career

Project Manager, CEval GmbH, Saarbrücken


Postdoctoral Resaercher,
Hector Research Institute of Education Sciences and Psychology,
University of Tübingen


Doctoral student/ Postdoctoral Researcher Educational Psychology,
University of Trier


Ph.D. in Psychology (Dr. rer. nat.)
University of Trier
Master's Degree in Psychology, University of Trier
Bachelor's Degree in Psychology,University of Trier

On-going Projects

New challenges and developments – Fair trade and fair procurement in 2022. Follow-up to the study “Does fair trade change Society?”4/20223/2023Fairtrade Deutschland, Engagement Global Service für Entwicklungsinitiativen gGmbH mit ihrer Servicestelle Kommunen in der Einen Welt, Forum Fairer Handel, Weltladen-Dachverband

Project Manager: M.A. Sandra Bäthge

Contact Person: Dr. Stefan Silvestrini

Staff: Dr. Stefan Silvestrini, Dr. Maja Flaig


In 2015, leading stakeholders of the German fair trade movement commissioned a study on the impact of fair trade in Germany, which was carried out by CEval GmbH. The study investigated the impact of fair trade in four societal areas, i.e., civil society, consumers, retailers and producers, and politics and the public sector. Since 2015 the fairtrade sector as well as the framework conditions in which it operated have changed. This includes, in particular, the environment for a fair public procurement. Against that backdrop, Fairtrade Germany, Engagement Global – Service für Entwicklungsinitiativen (Service for Development Initiatives) with its Servicestelle Kommunen in der Einen Welt (SKEW - Service Agency Communities in One World) and in cooperation with Forum Fairer Handel (Forum Fair Trade) and Weltladen-Dachverband (umbrella organization of German world shops) mandated CEval GmbH with the implementation of an updated and extended version of the 2015 study. The objective is to investigate the impact of fair trade in Germany between 2016 and 2022 under the changed framework conditions and taking into account the increased role of the German municipalities for fair trade and fair public procurement. Based on the findings, recommendations on how to further increase the effectiveness of fair trade and how to further support a fair public procurement shall be derived. Methodologically, the study builds on the approach developed for the 2015 study and relies on qualitative contribution analysis. On the basis of a so-called theory of change and its underlying hypotheses, the study will investigate the changes that are intended by the fair trade community in the various areas of observation as well as the contributions that have been made by the fair trade community to these changes. In doing so, a mix of qualitative and quantitative methods of data collection and analysis will be applied. The starting point will be an extensive desk study of existing literature and secondary data, which will be complemented by empirical data collected by means of guided key informant interviews, (focus) group discussions and a semi-standardized survey.

Former Projects

Meta-Evaluation of MFA’s Decentralised Programme and Project Evaluations in 2017-20206/20213/2022Ministry of Foreign Affairs

Project Manager: Dr. Susanne Johanna Väth

Contact Person: Dr. Susanne Johanna Väth

Staff: Dr. Stefan Silvestrini, Dr. Hansjörg Gaus, Dr. Maja Flaig


Together with a consortium of Particip and Niras, CEval was again commissioned by the Ministry of Foreign Affairs of Finland (MFA) to conduct a meta-evaluation of decentralised evaluations of development cooperation programmes and projects covering 2017-2020. The purpose was to build upon and amend the findings of the previous meta-evaluation to generate more learnings on the use and usefulness of decentralised evaluations, investigate the developments since the previous meta-evaluation, and to see if the quality of evaluations has further increased. Thus, this meta-evaluation is responsible for two ‘firsts’ in MFA’s meta-evaluation tradition. It is the first to replicate the methodology of the previous meta-evaluation allowing for sound comparison of results. Furthermore, it is the first to take into consideration the perspective of primary users of evaluations to assess the actual use and usefulness of decentralised evaluations. New features were also added and analysis tools amended to accommodate changes and developments since the previous meta-evaluation. A multi-method approach of qualitative and quantitative analysis was conducted on both secondary and primary data to generate evidence-based findings, conclusion and recommendations. This meta-evaluation consists of three components: Component 1- Meta-evaluation of 80 decentralised evaluations to assess the methodological quality of the evaluation reports and corresponding ToRs. The recent meta-evaluation was also compared to the previous one to identify differences and trends and identify gaps regarding MFA’s evaluation capacity. Component 2 – Content assessment of 72 evaluation reports, that passed minimal quality standards, to assess the overall quality of the interventions. The assessment included quality of interventions according to the OECD DAC criteria, consideration of cross-cutting objectives (CCOs) i.e. gender equality, non-discrimination and climate sustainability, human rights-based approach (HRBA) and Finnish policy priority areas (PPAs). A qualitative synthesis of evaluators’ lessons and recommendations to improve quality of Finnish development cooperation was also performed. Component 3- Primary data of 26 interviewed MFA commissioners at embassy and headquarters level, and 119 survey responses from MFA commissioners and intervention implementers were collected to assess the actual use and usefulness of decentralized evaluations from their perspectives. Facilitating and hampering factors for usefulness, as wells as interviewees’ lessons and recommendations were also identified from this data.