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

Equity Theory01:26

Equity Theory

275
Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...
275
Psychology as a Science01:13

Psychology as a Science

3.8K
Psychology, as a scientific discipline, aims to understand the mind and behavior through rigorous and systematic methods. The foundation of psychological research is evidence-based, relying heavily on the scientific method to derive and validate knowledge. This structured approach ensures that findings are reliable, valid, and applicable to broader contexts.
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
3.8K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

1.2K
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...
1.2K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.0K

You might also read

Related Articles

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

Sort by
Same author

Equitable Group Work in Undergraduate Biology Courses: Leveraging a Complex Instruction Framework to Identify Pedagogical Strategies.

CBE life sciences education·2026
Same author

Can we Mitigate the Impacts of Test Anxiety Through Reappraisal Interventions? A Replication Study in Science Courses Across Multiple Institution Types in the United States.

CBE life sciences education·2026
Same author

Student Perceptions on the Value of an Ideologically Aware Curriculum.

CBE life sciences education·2025
Same author

Using anti-DEI policies to dismantle education: A new front in a really old battle.

PLoS biology·2025
Same author

Highlighting Counterstereotypical Scientists in Undergraduate Life Science Courses.

CBE life sciences education·2025
Same author

More than a token photo: humanizing scientists enhances student engagement.

Proceedings. Biological sciences·2025

Related Experiment Video

Updated: Jan 23, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K

With Big Data Comes Big Responsibilities for Science Equity Research.

Cissy J Ballen1, Henriette Tolstrup Holmegaard2

  • 1Department of Biological Sciences, Auburn University, Auburn, AL 36849, United States.

Journal of Microbiology & Biology Education
|June 5, 2019
PubMed
Summary

In nations with greater gender equality, fewer women pursue science, technology, engineering, and mathematics (STEM) degrees. This study highlights the paradoxical impact of societal progress on women in STEM fields.

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.6K
Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.8K

Related Experiment Videos

Last Updated: Jan 23, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.6K
Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

9.8K

Area of Science:

  • Social Sciences
  • Education Research
  • Gender Studies

Background:

  • Big data offers unprecedented insights into human behavior and performance.
  • However, large datasets have limitations and biases that require critical examination.
  • Understanding these limitations is crucial for accurate interpretation of research findings.

Purpose of the Study:

  • To explore the paradoxical relationship between national gender equality and women's pursuit of STEM degrees.
  • To critically assess the limitations and biases inherent in using big data for educational research.

Main Methods:

  • Analysis of a large, global dataset of high school students.
  • Cross-national comparative study examining gender equality metrics and STEM degree enrollment.

Main Results:

  • A paradoxical finding emerged: higher national gender equality correlated with fewer women pursuing STEM degrees than expected by aptitude.
  • This challenges conventional assumptions about the drivers of women's participation in STEM.

Conclusions:

  • The reasons behind this paradox require further investigation.
  • Critical consideration of big data's limitations is essential in educational research, especially concerning gender representation in STEM.