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Related Concept Videos

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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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Observational Studies01:11

Observational Studies

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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...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Cross-Sectional Research01:50

Cross-Sectional Research

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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...
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Related Experiment Video

Updated: Sep 16, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Open science for qualitative research.

Crystal N Steltenpohl1, Brinna Mawhinney2,3, Veli-Matti Karhulahti4

  • 1Center for Open Science, Charlottesville, Virginia, USA crystal@cos.io.

BMJ Evidence-Based Medicine
|July 11, 2025
PubMed
Summary

Open scholarship practices, including data sharing and preregistration, offer valuable ways to enhance research transparency and rigor. Researchers using qualitative methods should consider these practices based on their specific project needs and field.

Keywords:
EthicsHealth Services ResearchMethods

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Area of Science:

  • Social Sciences
  • Qualitative Research

Background:

  • Open scholarship (open research, open science) is increasingly relevant across the research lifecycle.
  • The practical application of open scholarship varies significantly based on field, methodology, and resources.

Purpose of the Study:

  • To guide qualitative researchers in selecting applicable open scholarship practices.
  • To highlight specific practices such as data sharing, preregistration, negative case analysis, audit trails, and member checking.

Main Methods:

  • Literature review and synthesis of open scholarship principles.
  • Consideration of factors influencing practice adoption in qualitative research.

Main Results:

  • Identification of key open scholarship practices relevant to qualitative research.
  • Emphasis on aligning practice selection with research epistemology, context, community, and methodology.

Conclusions:

  • Qualitative researchers can benefit from adopting specific open scholarship practices.
  • Informed decision-making regarding open scholarship engagement is crucial for research integrity and impact.