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

Steps in the Modeling Process01:14

Steps in the Modeling Process

372
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
372
Data Collection by Observations01:08

Data Collection by Observations

13.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
13.1K
Review and Preview01:13

Review and Preview

10.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.0K
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
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

999
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
999
Data Collection I01:30

Data Collection I

7.2K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.2K

You might also read

Related Articles

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

Sort by
Same author

Backbone 3.0: An R package for extracting network backbones.

PloS one·2026
Same author

Prevalence and predictors of childfree people in developing countries.

PloS one·2025
Same author

Recommendations for sharing network data and materials.

Network science (Cambridge University Press)·2025
Same author

How strong is strong? The challenge of interpreting network edge weights.

PloS one·2024
Same author

Understanding the developmental transition between parallel and social play during preschool: A multiplex social network analysis.

Developmental psychology·2024
Same author

Illustrating the importance of edge constraints in backbones of bipartite projections.

PloS one·2024

Related Experiment Video

Updated: Oct 12, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.8K

Collecting, modeling, and visualizing network data from educators: A tutorial.

Jennifer Watling Neal1, Zachary P Neal1

  • 1Department of Psychology.

School Psychology (Washington, D.C.)
|November 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a practical guide for analyzing educator social networks, crucial for understanding how relationships impact school-based program implementation and improving school psychology practices.

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K
Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

6.5K

Related Experiment Videos

Last Updated: Oct 12, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.8K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K
Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

6.5K

Area of Science:

  • Social network analysis in education.
  • Application of network science in school psychology.

Background:

  • Educator networks offer insights into implementing school-based programs.
  • Collecting and modeling network data presents challenges in school psychology.

Purpose of the Study:

  • To provide a step-by-step tutorial for collecting, modeling, and visualizing educator network data.
  • To address barriers hindering network methods in school psychology.

Main Methods:

  • Demonstration using a study on advice networks among middle and high school educators.
  • Step-by-step guidance on network data collection and analysis.
  • Visualization techniques for educator social networks.

Main Results:

  • The tutorial effectively guides researchers through network data processes.
  • The example study illustrates the utility of network analysis for intervention research.
  • Identified practical strategies for overcoming data collection and modeling challenges.

Conclusions:

  • Network analysis is a valuable tool for school psychology research.
  • This tutorial facilitates the adoption of network methods in educational settings.
  • Understanding educator networks can enhance the effectiveness of school-based interventions.