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

Qualitative Analysis01:10

Qualitative Analysis

753
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
753
Quantitative Analysis01:12

Quantitative Analysis

685
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
685
Causality in Epidemiology01:21

Causality in Epidemiology

1.0K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.0K
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

747
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
747
Correlation and Causation01:27

Correlation and Causation

39.9K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
39.9K
Cochran's Q Test01:17

Cochran's Q Test

606
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
606

You might also read

Related Articles

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

Sort by
Same author

Wolf Presence Disrupts Seasonal Variation in Hair Cortisol Among Free-Ranging Beef Cattle.

Ecology and evolution·2026
Same author

The social circumstances of the maternal experience and its biobehavioral associations, in rhesus macaques (Macaca mulatta).

Animal reproduction science·2026
Same author

Delineating connectivity and quality of peer-peer pre-pubescent rhesus macaque (<i>Macaca mulatta</i>) relationships, by examining coupled social behaviours.

Royal Society open science·2025
Same author

Social induction and the developmental trajectory of participation in intergroup conflict by vervet monkeys.

Evolutionary human sciences·2025
Same author

People, places, things and communities: expanding behaviour settings theory in the twenty-first century.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2024
Same author

A practitioner's field guide to the behaviour settings method.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2024

Related Experiment Video

Updated: Oct 4, 2025

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.9K

Causal analysis as a bridge between qualitative and quantitative research.

Rosemary Blersch1,2, Neil Franchuk1, Miranda Lucas1

  • 1Barrett-Henzi Lab, Department of Psychology, University of Lethbridge, Lethbridge, AB, Canadablerschr@uleth.ca, neil.franchuk@uleth.ca,lucas@uleth.ca, christina.nord@uleth.ca, steph.varsanyi@uleth.ca, tyler.bonnell@uleth.cahttps://banzilab.github.io/.

The Behavioral and Brain Sciences
|February 10, 2022
PubMed
Summary
This summary is machine-generated.

This study advocates for integrating qualitative and quantitative methods in psychological research. Causal analysis and directed acyclic graphs can bridge these approaches for a more comprehensive understanding.

More Related Videos

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

3.9K
Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

6.3K

Related Experiment Videos

Last Updated: Oct 4, 2025

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.9K
Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

3.9K
Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

6.3K

Area of Science:

  • Psychology
  • Research Methodology

Background:

  • Qualitative methods are often undervalued in psychological research.
  • There is a debate on whether to prioritize qualitative or quantitative approaches.

Purpose of the Study:

  • To argue for the necessity of both qualitative and quantitative methods in psychological research.
  • To demonstrate how causal analysis can integrate these methodologies.
  • To foster interdisciplinary understanding in psychology.

Main Methods:

  • Utilizing causal analysis.
  • Employing directed acyclic graphs (DAGs) as a tool for integration.
  • Comparative analysis of qualitative and quantitative research paradigms.

Main Results:

  • Both qualitative and quantitative methods are essential for robust psychological research.
  • Directed acyclic graphs effectively bridge qualitative and quantitative approaches.
  • Integration enhances the depth and breadth of psychological inquiry.

Conclusions:

  • A balanced approach combining qualitative and quantitative research is optimal.
  • Directed acyclic graphs offer a powerful framework for methodological integration.
  • Fostering understanding between different psychological methodologies is crucial for scientific advancement.