Related Experiment Video
Updated: Apr 21, 2026
06:19
Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
3.0K
Presenting qualitative data through the co-construction of a model.
The Practising Midwife
|October 21, 2014
Summary
Student midwives enhanced their qualitative research skills by analyzing and presenting collective experiences from non-midwifery placements. This innovative session improved their understanding of evidence-based practice in midwifery.
Area of Science:
- Midwifery Education
- Qualitative Research Methods
Background:
- Pre-registration midwifery curricula aim to develop research skills for evidence-based practice.
- Student midwives often have varied experiences from non-midwifery placements.
Purpose of the Study:
- To evaluate an innovative teaching session designed to enhance student midwives' understanding of qualitative data analysis and presentation.
- To explore how shared student experiences can serve as 'empirical data' for learning research skills.
Main Methods:
- Facilitation of a spontaneous, innovative session based on student experiences.
- Analysis and presentation of qualitative data derived from collective student experiences.
- Evaluation of the learning process and student understanding.
Main Results:
- Students related existing research knowledge to their collective experiences.
- The session enhanced students' understanding of presenting qualitative research.
- Students demonstrated improved appreciation and application of evidence in practice.
Conclusions:
- Innovative, experience-based sessions can effectively teach qualitative research skills to student midwives.
- Connecting academic learning with practical experiences improves research competency in midwifery education.
- Sharing diverse experiences facilitates a deeper understanding of research methodologies.
More Related Videos
05:26Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
Published on: January 7, 2019
6.6K
06:18Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
Published on: December 3, 2020
3.2K
Related Concept Videos
03:46Qualitative Analysis
21.5K
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...
For instance, group IV...
21.5K
01:10Qualitative Analysis
1.7K
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:...
There are two main approaches to qualitative analysis:...
1.7K
01:30Typical Model Studies
735
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
735
01:03Data Validation
6.4K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
6.4K
01:12Modeling and Similitude
792
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
792
01:16Models, Theories, and Laws
7.4K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
7.4K