Related Experiment Video
Updated: Aug 29, 2025
08:29
An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
Published on: March 31, 2022
4.6K
Advances in transparency and reproducibility in the social sciences.
Jeremy Freese1, Tamkinat Rauf1, Jan Gerrit Voelkel1
1Stanford University, United States.
Social Science Research
|September 4, 2022
Summary
Research transparency and reproducibility are crucial for restoring trust in science. Advances in quantitative social science, including preregistration and data-sharing, are paving the way for greater openness and accountability.
Area of Science:
- Social Sciences
- Research Integrity
Background:
- Concerns regarding a scientific credibility crisis highlight the need for enhanced research transparency and reproducibility.
- These issues are particularly relevant for quantitative social science, where advancements have been ongoing.
Purpose of the Study:
- To discuss key developments in research transparency and reproducibility within quantitative social science.
- To explore the extension of these principles to qualitative research.
- To emphasize the role of accountability and inclusiveness in achieving scientific openness.
Main Methods:
- Review of advancements in research transparency and reproducibility.
- Discussion of specific practices such as preregistration, data-sharing, and open access.
- Analysis of the impact on qualitative research.
Main Results:
- Several key developments in transparency and reproducibility predate recent concerns about scientific credibility.
- Practices like preregistration, data-sharing, open access, and clear contribution policies are central to this movement.
- Quantitative efforts are influencing transparency in qualitative research.
Conclusions:
- Mutual accountability is vital for effective science.
- Openness is essential for fostering accountability.
- Scholarly inclusiveness is important for practical implementation of openness.
Related Concept Videos
00:52Social Proof
28.2K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
28.2K
01:56Ethics in Research
23.6K
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.
23.6K
01:04Social Facilitation
32.5K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.5K
01:22Statistical Package for the Social Sciences (SPSS)
501
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
501
02:40The Scientific Method
61.0K
Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
61.0K
01:15Systematic Error: Methodological and Sampling Errors
2.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
2.1K