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Related Concept Videos

Qualitative Analysis03:46

Qualitative Analysis

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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...
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Qualitative Analysis01:10

Qualitative Analysis

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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:...
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
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How Data are Classified: Numerical Data00:59

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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...
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch01:15

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The history of therapeutic communication can be traced back to Florence Nightingale, who emphasized the importance of developing trusting relationships with patients. She taught that the presence of nurses with patients results in therapeutic healing.
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Is It Time to Share Qualitative Research Data?

James M DuBois1, Michelle Strait2, Heidi Walsh1

  • 1Department of Medicine, Washington University in St. Louis.

Qualitative Psychology (Washington, D.C.)
|January 22, 2019
PubMed
Summary
This summary is machine-generated.

Sharing qualitative research data offers benefits like verification and public trust. This paper explores scientific, ethical, and policy issues, proposing data sharing as the default with appropriate safeguards.

Keywords:
confidentialitydata sharingqualitative researchresearch ethics

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Area of Science:

  • Social Sciences
  • Research Ethics
  • Data Management

Background:

  • Increased calls for research data sharing, driven by policy and reproducibility concerns.
  • Current discussions predominantly focus on quantitative data, neglecting qualitative research data.
  • Need to address the unique challenges of sharing qualitative research data.

Purpose of the Study:

  • To examine the scientific, ethical, and policy issues surrounding the sharing of qualitative research data.
  • To explore the advantages, standard procedures, and concerns related to qualitative data sharing.
  • To propose guidelines and conditions for sharing qualitative research data.

Main Methods:

  • Review of scientific, ethical, and policy considerations for qualitative data sharing.
  • Examination of standard data archiving and sharing procedures (e.g., anonymization, data use agreements).
  • Analysis of specific concerns: participant relationships, re-identification risk, consent, ownership, and researcher burden.

Main Results:

  • Advantages of sharing qualitative data include enhanced verification, economical new research, educational support, and increased public trust.
  • Standard procedures like anonymization and data use agreements can mitigate some sharing risks.
  • Specific concerns require careful consideration, with options for withholding data when necessary.

Conclusions:

  • Qualitative data sharing should be the default practice.
  • Concerns can often be addressed through established data depositing practices and data use agreements.
  • Conditions for withholding data should be clearly defined when risks cannot be adequately managed.