Trainings

TR / EN

We provide a set of 1 - 3 day social policy analysis workshops for policymakers, experts and researchers in the area.

You can register below and get in touch with us to arrange a time for the training sessions at your institution. All of our courses are provided in English or Turkish depending on the preference of the audience.

Introduction to Statistics for Policymakers Using STATA

To understand the impact of policies or programs implemented, policymakers regularly need to do the quantitative analysis themselves or they need to interpret the results presented to them. In order to do this at least a certain level of statistical knowledge is necessary. This 1-day class aims to provide policymakers with a basic set of statistical tools and quantitative analysis methods showing the logic behind these methods and interpretation of their results. Topics covered in the training include simple regression model, deriving ordinary least squares estimates, expected value, and variance of the OLS estimators, multiple regression analysis, t-tests, hypothesis testing, multiple regression analysis with binary variables, etc.  
The training is composed of a theoretical part for three-quarters of the day and for the rest of the day, the applications will be shown with a hands-on training using STATA (STATA is an interactive data management and statistical analysis software, which is popular among researchers and policy-makers in most social science disciplines).


Participants: The module targets policymakers, researchers, local government or development agency staff, monitoring and evaluation staff who are looking to gain knowledge and expertise in basic statistical tools and quantitative analysis methods as well as to learn about this commonly used statistical package.  (10-20 people)
Prerequisites:  Participants are expected to have a basic knowledge of statistics/econometrics.
Duration: 1 day

Impact Evaluation Methods - Theory and Applications

​Development programs and policies are typically designed to change outcomes. Whether or not these changes are actually achieved is a crucial public policy question but that is not often examined. More commonly, program managers and policymakers focus on controlling and measuring the inputs and immediate outputs of a program—how much money is spent, how many textbooks are distributed, rather than assessing whether programs have achieved their intended goals of improving well-being.  Impact evaluations are part of a broader agenda of evidence-based policymaking. 

 

This two-day technical course is designed to introduce concepts and methodologies in quantitative impact evaluation. The course uses country and program case studies to illustrate methodologies and introduces the following methodologies: (i) Randomized evaluations (ii) Matching methods, specifically propensity score matching (PSM), (iii) Double-difference (DD) methods, (iv) Instrumental variable (IV) methods (v) Regression discontinuity (RD) design. The course also includes a module on operationalizing and managing an impact evaluation.

Participants: The course targets policymakers, researchers and development specialists working for government ministries, municipalities and local development agencies, statistical agencies, and NGOs, looking to gain knowledge of impact evaluation methods. (10-20 people)
Prerequisites:  The course will require basic knowledge of statistics.
Duration: 3 days

Qualitative Methods for Social Research

Data collected from qualitative research methods serve two key functions for the successful design and execution of social policy interventions. Firstly, qualitative research methods provide project and policy designers and evaluators with a nuanced and thorough understanding of the needs of individuals, households, and communities as well as social relations and state-citizen relations.  Qualitative research methods are particularly useful in capturing target communities’ reactions to social policy programs and interventions. Secondly, data collected using qualitative research methods for monitoring and evaluation purposes help identify both the successful and problematic features of a policy or project.This seminar is intended to familiarize researchers with the more commonly used qualitative research methods. It will help them to utilize these methods in their own research, or evaluate the qualitative work that others have done.  Semi-structured interviews, in-depth interviews,  focus groups, participant observation, ethnographic work, qualitative data collection such as the use of images, personal experiences, biographical and historical methods are such methods that are used widely in social research, and which will be covered in this training at an introductory level.

 

This beginner-level course will also include a general introduction to data analysis software packages in particular NVIVO for qualitative researchers. NVivo is a qualitative data analysis software package, which is used widely among social scientists. It provides tools for qualitative analysis of large bodies of textual, graphical, audio and video data.  The section of the course is designed as a hands-on workshop where participants will get to explore the basic functions of NVIVO for qualitative data coding and analysis. Participants will also be introduced to useful online manuals, which they can use to self-teach advanced functions of the software packages.

 

Participants: The course targets anyone involved in conducting a needs assessment for policy and project design purposes, and those who are involved in policy or project monitoring and evaluation activities. (10-20 people)
Prerequisites:  No requirements
Duration: 1 day 

Please reload

impact evaluation turkey, qualitative analysis turkey, development analytics turkey, quantitative analysis  turkey, social policy turkey, qualitative research turkey, FGD turkey, focus group discussions turkey, policymakers training turkey, training turkey, ECD turkey, early childhood education turkey, Women's Empowerment turkey, childcare turkey, education turkey
impact evaluation MENA, qualitative analysis MENA, development analytics MENA, quantitative analysis  MENA, social policy MENA, qualitative research MENA, FGD MENA, focus group discussions MENA, policymakers training MENA, training turkey, ECD MENA, early childhood education MENA, Women's Empowerment MENA, childcare MENA, education MENA
impact evaluation middle east, qualitative analysis middle east, development analytics middle east, quantitative analysis  middle east, social policy middle east, qualitative research middle east, FGD middle east, focus group discussions middle east, policymakers training middle east, training turkey, ECD middle east, early childhood education middle east, Women's Empowerment middle east, childcare middle east, education middle east

تقييم الاثر ، التحليل النوعي ، التحليلات التنموية  ، تحليلات كمية ، اسياسات اجتماعية، البحث النوعي ، جلسات تركيز  ، مناقشات مجموعة التركيز ، تدريب صناع السياسة  ، تدريب  ، تعليم مبكر، ، تعليم الطفولة المبكرة  ، تمكين المرأة ، رعياة الطفولة ، التعليم 

Kalitatif , yapıcıların eğitimi, eğitim, erken çocukluk eğitimi, Kadınların Güçlendirilmesi, çocuk bakımı, eğitimanaliznicel analiz, sosyalpolitika, nitel araştırma, politika

CONTACT US

research@developmentanalytics.org

Emirgan Mah, Emirgan Mektebi Sokak. No:31, 34467 Sarıyer/İstanbul, Turkey

+90 (212) 277 86 41

 

9 Marlborough Court OX2 0QT Oxford, UK 

+44 7857006512

Development Analytics provides evidence based research for social program and policy development. Our main areas of study are poverty, education, health, social protection and the overall distributional impact of social policies. We specialize in large scale data analysis and statistical methods for social research. Our clients include central governments, international development organizations, NGOs (as well as corporate clients with a social responsibility vision). We provide our clients with research and tools to (i) understand and diagnose social problems, (ii) devise programs to tackle these issues and (iii) to measure and rigorously evaluate their results.