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

Quantitative Analysis01:12

Quantitative Analysis

358
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...
358
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

133
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
133
Group Design02:01

Group Design

9.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.0K
Qualitative Analysis01:10

Qualitative Analysis

364
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:...
364
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

29.7K
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...
29.7K
Study Design in Statistics01:15

Study Design in Statistics

8.3K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.3K

You might also read

Related Articles

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

Sort by
Same author

Invisible pain, visible change: the impact of multidisciplinary treatment on women with fibromyalgia.

Clinical and experimental rheumatology·2026
Same author

Corrigendum to "Glutaminase deficiency provides insight to the role of glutamine accumulation and neurotoxicity" [Mol. Genet. Metab. 148(2) (2026) 109906].

Molecular genetics and metabolism·2026
Same author

The AI inversion model: a linear negative-constraint framework for auditable alignment in medical decision-making.

BMC medical ethics·2026
Same author

Determinants of influenza vaccination uptake in older adults: findings from a retrospective cross-sectional study.

BMC public health·2026
Same author

Bridging the gap: disparities in perceptions of the "second victim" phenomenon between Israeli policymakers and frontline nurses.

Human resources for health·2026
Same author

Short-term safety and reactogenicity of same-day COVID-19 and influenza vaccination in very old, community-dwelling adults.

European geriatric medicine·2026

Related Experiment Video

Updated: Aug 6, 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

6.8K

Converting qualitative data into quantitative values using a matched mixed-methods design: A new methodological

Inbal Halevi Hochwald1, Gizell Green2, Yael Sela3

  • 1School of Nursing, Max Stern Yezreel Valley College, The Yezreel Valley, Israel.

Journal of Advanced Nursing
|March 20, 2023
PubMed
Summary
This summary is machine-generated.

Quantifying qualitative data using quantitative-qualitative values (QQVs) in mixed-methods research (MMR) enhances analysis. This study details a matched MMR design for converting interview data, aiding result comparison and discussion.

Keywords:
burdenconversion of qualitative data into quantitative valuesend-stage dementiafamily caregiversmatched mixed-methods researchnursing research

More Related Videos

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K
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

3.8K

Related Experiment Videos

Last Updated: Aug 6, 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

6.8K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K
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

3.8K

Area of Science:

  • Mixed-Methods Research (MMR)
  • Qualitative Data Analysis
  • Quantitative Data Conversion

Background:

  • Mixed-methods research (MMR) integrates qualitative and quantitative data for comprehensive analysis.
  • Quantifying qualitative data offers opportunities for deeper insights and result reinforcement.
  • Limited guidance exists for researchers on converting qualitative data into quantitative values.

Purpose of the Study:

  • To describe the conversion of qualitative interview data into quantitative-qualitative values (QQVs).
  • To compare QQVs with matched questionnaire data within a mixed-methods research design.
  • To discuss the benefits and implications of using a matched MMR design for data integration.

Main Methods:

  • Qualitative data from 46 semi-structured interviews were systematically converted into QQVs.
  • A matched mixed-methods research (MMR) design was employed, collecting data from the same participants.
  • QQVs were generated for key themes and compared against scores from validated questionnaires.

Main Results:

  • No significant differences were found between QQV scores and questionnaire scores for 'satisfaction with care' and 'end-of-life care discussions'.
  • A significantly higher QQV score was observed for the theme of 'burden' compared to questionnaire scores.
  • The methodology facilitated direct comparison between qualitative and quantitative findings on the same topics.

Conclusions:

  • A matched MMR design enables the generation and comparison of QQVs with questionnaire data.
  • This approach enhances the integration and presentation of mixed-methods findings.
  • Discrepancies between QQV and questionnaire scores provide valuable opportunities for in-depth discussion within MMR.