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 Analysis03:46

Qualitative Analysis

For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
Qualitative Analysis01:10

Qualitative Analysis

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:...
Cochran's Q Test01:17

Cochran's Q Test

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 distribution,...
Nominal Level of Measurement00:56

Nominal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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...

You might also read

Related Articles

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

Sort by
Same author

Martin Lipscomb: 'Questioning the Use Value of Qualitative Research Findings' (2012).

Nursing philosophy : an international journal for healthcare professionals·2025
Same author

The Everyday Phenomenology of Bedside Insight: A Response to Shira Birnbaum.

Nursing inquiry·2024
Same author

The fictionalist paradigm: A commentary.

Nursing philosophy : an international journal for healthcare professionals·2019
Same author

Reading concept analysis: Why Draper has a point.

Nursing philosophy : an international journal for healthcare professionals·2019
Same author

Meaning, lived experience, empathy and boredom: Max van Manen on phenomenology and Heidegger.

Nursing philosophy : an international journal for healthcare professionals·2018
Same author

Phenomenology and qualitative research: Amedeo Giorgi's hermetic epistemology.

Nursing philosophy : an international journal for healthcare professionals·2018
Same journal

The Generativity of Variability for Evidence-Based Practice.

Nursing philosophy : an international journal for healthcare professionals·2026
Same journal

'Just Human Things That You Do': Experiments Towards an Abolitionist Ethic of Care Among Healthcare Workers Caring for Pregnant Patients in Immigration Custody.

Nursing philosophy : an international journal for healthcare professionals·2026
Same journal

Nursing in Capitalist Healthcare: The Ethical Dichotomy Between the Vocation of Nursing and the Healthcare-Industrial Complex.

Nursing philosophy : an international journal for healthcare professionals·2026
Same journal

Producing Mobility, Withholding Authority: Epistemic Drain and Nursing Sovereignty in Nepal.

Nursing philosophy : an international journal for healthcare professionals·2026
Same journal

"It Was My Vowels": Camp, Voice, and the Theatrics of Professional Legitimacy in Immigrant Nursing.

Nursing philosophy : an international journal for healthcare professionals·2026
Same journal

Camp, Seriousness and Professional Comportment in Nursing.

Nursing philosophy : an international journal for healthcare professionals·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Qualitative interviewing as measurement.

John Paley1

  • 1Senior Lecturer, Department of Nursing and Midwifery, University of Stirling, Stirling, UK. j.h.paley@stir.ac.uk

Nursing Philosophy : an International Journal for Healthcare Professionals
|April 27, 2010
PubMed
Summary
This summary is machine-generated.

Attributing beliefs is a form of measurement, not requiring numerical scales. This measurement theory of belief attribution offers a new perspective on understanding human aptitudes and reality.

More Related Videos

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

Related Experiment Videos

Last Updated: Jun 13, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

Area of Science:

  • Philosophy of Mind
  • Cognitive Science
  • Measurement Theory

Background:

  • The attribution of beliefs and propositional attitudes is a complex cognitive process.
  • Existing frameworks often struggle to provide a unified, objective understanding of belief attribution.

Purpose of the Study:

  • To propose and defend a novel view of belief attribution as a form of measurement.
  • To explore the philosophical and methodological implications of this measurement-theoretic approach.

Main Methods:

  • Application of measurement theory principles to belief attribution.
  • Analysis of the homomorphism requirement in measurement.
  • Addressing objections related to the semantic nature of beliefs and introspection.

Main Results:

  • Belief statements are proposed to measure people's aptitudes, analogous to how maps measure geographical locations.
  • The measurement-theoretic view challenges constructivist theories and offers an alternative to Cartesian philosophies in qualitative research.
  • This perspective implies objective reality is more knowable than subjective experience.

Conclusions:

  • Understanding belief attribution through measurement theory provides a robust framework for cognitive science and philosophy.
  • This approach supports an objective, reality-prior-to-meaning ontology, moving away from subjective interpretations.