Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

233
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
233
Ethics in Research01:56

Ethics in Research

25.3K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
25.3K
Experimental Designs01:16

Experimental Designs

16.5K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
16.5K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.2K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.2K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

814
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
814
Stereotype Content Model02:16

Stereotype Content Model

15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Creating a developmental framework for evaluating RRI implementation in research organisations.

Evaluation and program planning·2023
Same author

Building an evidence base on organisational interventions to advance women in healthcare leadership.

EClinicalMedicine·2021
Same author

Acknowledging complexity in evaluation of gender equality interventions.

EClinicalMedicine·2020
Same author

Link Horizon Europe funding to real steps to gender equality.

Nature·2020
Same author

Understanding the Athena SWAN award scheme for gender equality as a complex social intervention in a complex system: analysis of Silver award action plans in a comparative European perspective.

Health research policy and systems·2020
Same author

Women Underrepresentation in R&I: A Sector Program Assessment of the Contribution of Gender Equality Policies in Research and Innovation.

Evaluation and program planning·2019

Related Experiment Video

Updated: Jan 2, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.3K

Developing a conceptual evaluation framework for gender equality interventions in research and innovation.

Evanthia Kalpazidou Schmidt1, Ebbe Krogh Graversen1

  • 1Department of Political Science, Aarhus University, Denmark.

Evaluation and Program Planning
|December 1, 2019
PubMed
Summary

This study introduces a conceptual framework for evaluating gender equality interventions in research and innovation. It emphasizes context-sensitive, theory-based approaches focusing on contribution rather than attribution for assessing policy impact.

Keywords:
ComplexityGender equality interventions and effectsGender sensitivityInnovative conceptual evaluation frameworkInstrumentationNon-linear approachR&ITheory-based evaluation

More Related Videos

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.5K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

954

Related Experiment Videos

Last Updated: Jan 2, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.3K
A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.5K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

954

Area of Science:

  • Social Sciences
  • Policy Studies
  • Gender Studies

Background:

  • Designing and assessing gender equality interventions requires nuanced approaches.
  • Existing evaluation methods often overlook systemic complexities and context.

Purpose of the Study:

  • To develop a conceptual evaluation framework for gender equality interventions in research and innovation.
  • To guide the design and assessment of intervention effects within complex systems.

Main Methods:

  • The framework embraces complexity, gender-sensitivity, and theory-based evaluation.
  • It adopts a non-linear concept focusing on contribution over attribution.
  • It systematically addresses linkages between inputs, implementation, and effects, considering context.

Main Results:

  • The framework integrates team, organizational, and system factors in policy design and evaluation.
  • It provides a method to understand the 'how' and 'why' of policy interventions.
  • It accounts for context sensitivity and methodological pluralism.

Conclusions:

  • The proposed evaluation framework serves as a reference for stakeholders in research and innovation.
  • It aids in designing and assessing gender equality interventions more effectively.
  • It supports the development of evidence, theoretical, and methodological bases for gender equality policies.