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

Introduction to Statistics01:17

Introduction to Statistics

54.1K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
54.1K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

9.4K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
9.4K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

2.7K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
2.7K
Introduction to Learning01:18

Introduction to Learning

598
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
598
Statistical Significance01:50

Statistical Significance

20.6K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.6K
Observational Learning01:12

Observational Learning

374
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
374

You might also read

Related Articles

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

Sort by
Same author

Effects of Statistical Learning on Stimulus Detection Speed Reflect Attention Rather Than Representational Changes.

Cognitive science·2026
Same author

Author Correction: Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models.

Nature communications·2026
Same author

Flexible statistical learning across modalities: Online and offline measures reveal different aspects of adaptation to changing regularities.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Conversational alignment as an individual difference.

Proceedings. Biological sciences·2026
Same author

Statistical learning performance is impacted by a previous learning experience: A predictive eye-movement study.

Cognition·2026
Same author

Multimodality as a safeguard of honesty in communication and language: from Animals to Humans.

The Behavioral and brain sciences·2026
Same journal

Misinformation as strategy: Epistemic consequences and the undermining of shared truth.

Trends in cognitive sciences·2026
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
See all related articles

Related Experiment Video

Updated: Oct 12, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

Is there such a thing as a 'good statistical learner'?

Louisa Bogaerts1, Noam Siegelman2, Morten H Christiansen3

  • 1Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.

Trends in Cognitive Sciences
|November 23, 2021
PubMed
Summary
This summary is machine-generated.

Statistical learning (SL) is often seen as a general ability, but evidence for a universal capacity is weak. Research should instead focus on how learning adapts to diverse statistical environments.

Keywords:
cognitive abilitiesindividual differencesstatistical learning

More Related Videos

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.4K

Related Experiment Videos

Last Updated: Oct 12, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.4K

Area of Science:

  • Cognitive Science
  • Psychology
  • Neuroscience

Background:

  • Individual differences in statistical learning (SL) are linked to cognitive abilities.
  • Current research often treats SL as a general capacity underlying various cognitive tasks.

Purpose of the Study:

  • To critically evaluate the evidence for a general statistical learning capacity.
  • To propose an alternative perspective on SL that considers environmental variability.

Main Methods:

  • Conceptual analysis of existing research on individual differences in SL.
  • Theoretical outlining of an alternative framework for understanding SL.

Main Results:

  • Evidence supporting a general SL capacity is currently considered meager.
  • Existing approaches may oversimplify the nature of SL by not accounting for environmental context.

Conclusions:

  • The concept of a single, general statistical learning ability may be insufficient.
  • Future research should explore how learning is domain-specific and tuned to environmental statistics.