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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:...
Quantitative Analysis01:12

Quantitative Analysis

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 method...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...

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Related Experiment Video

Updated: Jun 8, 2026

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

Published on: December 3, 2020

Concurrent analysis: towards generalisable qualitative research.

Austyn Snowden1, Colin R Martin

  • 1School of Health, Nursing and Midwifery, University of the West of Scotland, Ayr, UK.

Journal of Clinical Nursing
|October 16, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces concurrent analysis, a novel qualitative method enhancing data integration for improved generalizability. This approach aims to increase the translation of research findings into practical applications in healthcare.

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

Last Updated: Jun 8, 2026

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

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05:26

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

Published on: January 7, 2019

Area of Science:

  • Qualitative Research Methodology
  • Interpretivist Research Principles

Background:

  • Existing qualitative methodologies have limitations in coherent data analysis.
  • A novel approach, concurrent analysis, is proposed to address these limitations.
  • The method is illustrated using constructivist grounded theory on mental health nurse prescribing.

Purpose of the Study:

  • To develop an original qualitative analysis method.
  • To enhance the generalizability of qualitative research findings.
  • To improve the translation of research into practice.

Main Methods:

  • Concurrent analysis using constructivist grounded theory.
  • Purposive sampling of 10 research articles and 13 interviews.
  • Concurrent analysis of interviews, reflective accounts, and literature data.

Main Results:

  • A theory on the process of becoming competent in mental health nurse prescribing was generated.
  • The generated theory was validated by 32 practicing mental health nurse prescribers.
  • Concurrent analysis produced a coherent and generalizable theory.

Conclusions:

  • Concurrent analysis enables consistent and iterative treatment of diverse qualitative data.
  • This methodology enhances the generalizability of qualitative research findings.
  • Increased generalizability can improve the impact of research on clinical practice.