This training curriculum was developed by UN Women and the Statistical Institute for Asia and the Pacific (SIAP), under the guidance of the Subgroup on Gender Statistics Training, within the Asia-Pacific Network of Statistical Training Institutes. It has been designed to guide trainers on how to conduct related training. The syllabus can also be used by learners who wish to know more about this topic and people who are generally interested in gender statistics.
A self-paced e-learning course developed by SIAP, ESCAP and UN Women is also available here.
What is gender data and how to use it for SDG Monitoring?
This is an introductory module on gender statistics targeted to both experts and non-experts. No advanced knowledge of statistics is necessary. However, it would be good for the learner to have an idea of what the Sustainable Development Goals (SDGs) are, including their targets and indicators.
- Statisticians and other experts that wish to understand what gender statistics are and how these can be integrated across different areas of statistics
- Policy makers and decision makers in general, who are looking to enhance their use of gender data for evidence-based decision-making
- Academicians who wish to focus or inform their research through the use of gender data
- Civil Society organizations that wish to enhance their use of gender data for advocacy or communication purposes
- Media personnel interested in integrating gender data into their media products, and presenting a more accurate and comprehensive picture
- Anyone who wishes to find out what gender data is and how to use it
Gender data literacy and avoiding common mistakes
This is an introductory module on gender statistics targeted to non-experts in the area of statistics. No advanced knowledge of statistics is necessary. However, it would be good for the learner to have an idea of what the Sustainable Development Goals are, including their targets and indicators. It is also recommended that the learner has gone through Module 1 and understands well the definitions of gender, sex, and gender indicators.
- Statisticians that wish to understand the specificities around select areas of gender statistics, such as violence against women and time use (for expert statisticians, however, it is recommended to skip through the initial part of the module, as some of the content might already be known)
- Policy makers and decision makers in general who are looking to enhance their understanding and use of gender data for evidence-based decision making
- Academicians who wish to focus or inform their research through the use of gender data
- Civil Society organizations who wish to enhance their use of gender data for advocacy or communication purposes
- Media personnel interested in integrating gender data into their media products, and broadcasting a more accurate and comprehensive picture
- Anyone who wishes to find out how to use gender data
Calculating gender statistics for SDG monitoring
This module is primarily targeted to experts since it requires the learner to have some knowledge of statistics. Non-expert audiences can benefit from it as well, although some knowledge of basic gender statistical concepts will be required. It would be good for learners to be familiar with the content of Modules 1,2 and 9 as well as to have a good understanding of what the Sustainable Development Goals are, including their targets and indicators.
- Statisticians and other experts that wish to calculate gender statistics to monitor the SDGs from a gender perspective
- Policy makers and decision makers in general who are looking to understand the methodological details behind each of the SDG indicators and to interpret them accurately to use data for evidence-based decision making
- Academicians who wish to replicate calculations for gender-related SDG indicators for their own academic research
- Civil Society organizations who wish to better understand and interpret gender-related SDG data
- Media personnel interested in accurately interpreting and integrating gender data from select SDG indicators into their media products
- Anyone who wishes to find out how to compute and accurately interpret some of the gender-related SDG indicators
User-Producer Dialogue
This module is targeted to both experts and non-experts. No advanced knowledge on statistics is necessary. However, it would be good for the learner to have an idea of what the Sustainable Development Goals (SDGs) are, including their targets and indicators, as well as to have a basic level of gender data literacy and an understanding of how the production of SDG data takes place globally. Thus, it is recommended that the learner has completed Modules 1, 2 and 3 before completing this module.
- Statisticians and other experts that wish to understand their audience’s needs to better cater to these with their gender data and statistical products.
- Policy makers and decision makers who are looking to better understand the gender data available, and to learn about effective ways to influence gender data production in their own national contexts.
- Academicians who wish to convey their needs to data producers and learn about existing and upcoming data releases.
- Civil Society organizations who wish to create communication channels with data producers in order to obtain gender data that better suits their needs.
- Media personnel interested in finding out more about gender data production, releases and interpretation, in order to better integrate gender data into their media products, and influence the overall production of gender statistics relevant to them
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Note to trainer: Depending on the pace of trainer and trainees, it is expected that training for this module can be delivered in 15 to 30 minutes, with an additional 30 minutes needed to practice conducting dialogue.
Methods for gender data collection and estimation
This module is mainly targeted at expert statisticians and data producers. In order to fully benefit from this module, it is important that the learner have some knowledge of statistical processes, including data collection processes. This module builds heavily on existing information on data collection and estimation. Because a wide range of information on this topic was already available, the module does not cover the topic in detail. Thus, it is important that the learner refer to the materials listed in the “additional resources” file in order to obtain comprehensive information on this topic.
- Statisticians and other experts who wish to understand how to integrate a gender perspective into all stages of the data collection and estimation process and to understand the principles of gender sensitivity.
- Academics who wish to focus or inform their research through the use of gender data or want to analyse data in a gender-sensitive way.
- Civil Society organizations that wish to gain knowledge of the gender biases in data collection and estimation processes for advocacy or communication purposes.
- Anyone who wishes to find out how to avoid and overcome gender biases in statistical processes and integrate a gender-sensitive perspective into the collection and estimation of gender data.
Analyzing microdata with a gender angle
This is an intermediate module on gender statistics mainly targeted to applied statisticians and gender policy analysts involved in gender data analyses. No advanced knowledge on statistics is necessary. However, it would be helpful for the trainee to have basic knowledge of statistical estimation, significance testing and regression modeling.
- Statisticians and other experts that wish to analyze data generated from household surveys with a gender angle.
- Policy makers and decision makers who are looking to conduct their own data analysis to enhance their use of gender data for evidence-based decision making
- Academicians who wish to use to this module as teaching materials for gender analysis in classrooms.
- Civil Society organizations who wish to enhance their skills in analyzing gender data for advocacy or communication purposes
- Anyone who has plans to give trainings on analysis of survey data with a gender perspective
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Note to trainer: This module is conducted through hands-on exercises by analyzing the Multiple Indicator Cluster Survey (MICS) micro-data for illustration purposes. It also assumes that trainees do not have previous experience using R or STATA and applying regression models. Depending on the trainees' familiarity with R, STATA or other statistical software and knowledge of regression modeling, it is expected that training for this module can be delivered in 2 to 3 hours. This is module is practically oriented with the aim of giving trainees some exposure to regression data analysis (logistic regression). Trainees should refer to the list of existing resources provided in this module for deeper understanding of theoretical assumptions on some of the statistical methodologies introduced in this module.
Multilevel disaggregation analysis to monitor the SDGs from a Leave No One Behind perspective
This module contains information about survey data analysis and is suitable for learners who are familiar with basic statistical concepts and have some understanding of coding using statistical software, preferably STATA. Additionally, it is recommended that the learner have some basic understanding of the Sustainable Development Goals, including their targets and indicators.
- Statisticians and other experts that wish to learn about analyzing gender data and generating estimates in line with the Leaving No One Behind (LNOB) principle of the 2030 Agenda.
- Academicians who wish to focus or inform their research through the use of multiply disaggregated data.
- Data journalists and civil society organizations that wish to use gender data to highlight findings for specific groups of women and girls.
- Anyone who wishes to find out how to analyze gender data from a LNOB perspective.
E-training programme on using SDMX for gender data
Go to the training programmeFinding the right gender data and conducting basic analysis
This is a module containing introductory information on global and national sources of gender data as well as on select simple data analysis tools. It is primarily targeted to non-experts. No advanced knowledge on statistics is necessary. However, it would be good for the learner to have an idea of what the Sustainable Development Goals are, including their targets and indicators. It is advisable for the learner to have previously completed Modules 1 and 2.
- Policy makers and decision makers in general who are looking to use good quality gender data for evidence-based decision making
- Academicians who wish to focus or inform their research through the use of gender data and want to enhance their knowledge of reliable sources of macro as well as micro gender data.
- Civil Society organizations who wish to enhance their use of gender data for advocacy or communication purposes
- Media personnel interested in integrating gender data into their media products, and wish to know where they can find good quality gender data and how to perform basic data analysis
- Anyone who wishes to find out where to find the right gender data and how to conduct simple analysis
Communicating gender data
This module is targeted to both experts and non-experts on gender statistics. Data producers will benefit from this module as it will provide the necessary tools to generate effective gender data communication products. Data users can learn how to utilize existing data to convey messages effectively, or how to correctly interpret the data that are communicated to them. No advanced knowledge of statistics is necessary. However, it is strongly recommended that learners have completed modules 1, 2 and 9.
- Statisticians and other experts who wish to understand how to create effective communication products with gender statistics
- Policymakers and decision-makers who are looking to use gender data to generate more effective communication products
- Academics and researchers who wish to enhance their communication skills to disseminate their gender data analysis
- Civil Society organizations that wish to enhance their use of gender data for advocacy or communication purposes
- Media personnel interested in integrating gender data into their media products and who wish to communicate gender-sensitive data-driven stories to audiences
- Anyone who wishes to find out how to use and communicate gender data effectively.
Using gender data for policy making
This module includes introductory information on how to use gender statistics for policy making. Data users can benefit from this module by learning how to understand gender data and consider data analysis and findings for policy formulation. No advanced knowledge on statistics is necessary.
- Policy makers and decision makers in general who are looking to use good quality gender data for evidence-based decision making
- Academicians who wish to focus or inform their research through the use of gender data and want to enhance their knowledge of reliable sources of macro as well as micro gender data.
- Civil Society organizations who wish to enhance their use of gender data for advocacy or communication purposes
- Anyone who wishes to find out where to find the right gender data and how to conduct simple analysis
