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

Types of Hypothesis Testing01:11

Types of Hypothesis Testing

27.9K
There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...
27.9K
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

5.8K
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
5.8K
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

6.2K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
6.2K
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

575
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
575
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

470
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
470
What is a Hypothesis?01:14

What is a Hypothesis?

14.7K
A hypothesis can be a simple sentence or statement about a property or any phenomenon observed or predicted for a population. It is usually a claim about a  property of the population. It can be stated for any field observations or experiments. A hypothesis statement cannot be said to be right or wrong as it is merely a statement. It needs to be tested through an elaborate data collection process and an appropriate statistical test. A hypothesis should be a general but not a vague...
14.7K

You might also read

Related Articles

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

Sort by
Same author

Family background consistently affects economic success across the life cycle: A research note on how brother correlations overlap over the life course.

The British journal of sociology·2024
Same author

Marginal and Conditional Confounding Using Logits.

Sociological methods & research·2023
Same author

The nature-nurture of academic achievement at the intersection between gender, family background, and school context.

Social science research·2023
Same author

Lives on track? Long-term earnings returns to selective school placement in England and Denmark.

The British journal of sociology·2021
Same author

Corrigendum to "College as equalizer? Testing the selectivity hypothesis" [Soc. Sci. Res. 80 (2019) 216-229].

Social science research·2020
Same author

Parental incarceration and child mortality in Denmark.

American journal of public health·2014
Same journal

Elementary school discipline lowers students' sense of belonging.

Social science research·2026
Same journal

Virtual charter students have worse labor market outcomes as young adults.

Social science research·2026
Same journal

What are we modeling? An evaluation of depressive symptom trajectory models from adolescence to early midlife in the Add Health cohort.

Social science research·2026
Same journal

Flexible work arrangements, gender ideology, and housework time among dual-earner couples.

Social science research·2026
Same journal

Mobility patterns predict increasing polarization between neighborhoods.

Social science research·2026
Same journal

State-level Gender Inequality and Couples' Relative Earnings Following Parenthood over Four Decades.

Social science research·2026
See all related articles

Related Experiment Video

Updated: Jan 26, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

10.2K

College as equalizer? Testing the selectivity hypothesis.

Kristian Bernt Karlson1

  • 1Department of Sociology, University of Copenhagen, Oester Farimagsgade 5, Building 16, DK-1014, Copenhagen K, Denmark.

Social Science Research
|April 9, 2019
PubMed
Summary
This summary is machine-generated.

College education appears to equalize opportunities and promote social mobility. Research indicates that the selectivity of college degree holders does not explain their high social mobility rates, supporting college as an equalizer.

Keywords:
CollegeEducationSelectivitySocial mobility

More Related Videos

Making, Testing, and Using Potassium Ion Selective Microelectrodes in Tissue Slices of Adult Brain
11:20

Making, Testing, and Using Potassium Ion Selective Microelectrodes in Tissue Slices of Adult Brain

Published on: May 7, 2018

12.7K
Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.7K

Related Experiment Videos

Last Updated: Jan 26, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

10.2K
Making, Testing, and Using Potassium Ion Selective Microelectrodes in Tissue Slices of Adult Brain
11:20

Making, Testing, and Using Potassium Ion Selective Microelectrodes in Tissue Slices of Adult Brain

Published on: May 7, 2018

12.7K
Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.7K

Area of Science:

  • Sociology
  • Economics
  • Education Policy

Background:

  • Stratification research suggests a weak association between occupational origins and destinations for college graduates.
  • This finding is often interpreted as evidence that higher education equalizes opportunities and enhances social mobility.

Purpose of the Study:

  • To test the hypothesis that the high social mobility among college degree holders is due to group selectivity.
  • To investigate whether college truly acts as an equalizer of opportunities.

Main Methods:

  • Utilized data from the National Longitudinal Survey of Youth 1979.
  • Employed inverse probability reweighting to control for the selectivity of college degree holders based on pre-college characteristics (cognitive ability, personality, future beliefs).

Main Results:

  • Found no statistical support for the selectivity hypothesis.
  • The analysis indicates that observable pre-college characteristics do not explain the social mobility of college graduates.

Conclusions:

  • College education appears to function as an equalizer of social and economic opportunities.
  • The findings align with previous indirect evidence supporting the role of higher education in promoting social mobility.