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Related Concept Videos

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:...
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...
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...
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...
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...

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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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[Qualitative analysis: theory, steps and reliability].

Maria Cecília de Souza Minayo1

  • 1Centro Latino-Americano de Estudos de Violência e Saúde Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, RJ. maminayo@terra.com.br

Ciencia & Saude Coletiva
|March 28, 2012
PubMed
Summary

Reliable qualitative research analysis requires structuring terms like comprehend, interpret, experience, common sense, and social action. This study outlines 10 steps for robust qualitative analysis, from defining the scientific object to final narrative reporting.

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Area of Science:

  • Qualitative Research Methodology
  • Social Sciences Research
  • Scientific Inquiry

Context:

  • Grounded in benchmark authors and personal experience.
  • Addresses the need for structured qualitative analysis.
  • Highlights the importance of researcher empathy and diverse techniques in fieldwork.

Purpose:

  • To define criteria for reliable qualitative research analysis.
  • To present a 10-step framework for conducting qualitative research.
  • To emphasize the integration of actors' logic over mere speech in analysis.

Summary:

  • Proposes that reliable qualitative analysis hinges on 'comprehend,' 'interpret,' 'experience,' 'common sense,' and 'social action.'
  • Details 10 steps: scientific object construction, tool development, empathetic fieldwork, and analysis.
  • Advocates for a second-order construct analysis prioritizing actor logic and diversity.

Impact:

  • Enhances the rigor and reliability of qualitative research findings.
  • Provides a practical, step-by-step guide for researchers.
  • Contributes to a deeper understanding of social action and diverse perspectives in research.