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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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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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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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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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Experimental Designs01:16

Experimental Designs

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Agile Mentorship: A Longitudinal Exploratory Analysis.

Heidi Lindroth1,2,3, Caroline Shumaker3,4,5, Britain Taylor3,6

  • 1Division of Nursing Research, Department of Nursing, Mayo Clinic, Rochester, Minnesota.

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|August 4, 2023
PubMed
Summary
This summary is machine-generated.

The agile mentorship process enhances mentee academic success by addressing communication gaps and mismatched goals. This scalable framework supports effective mentoring relationships and personal growth in healthcare professionals.

Keywords:
agile sciencebehavior changementorshipmodel development

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Area of Science:

  • Healthcare Education
  • Mentorship and Professional Development

Background:

  • Effective mentorship is crucial for mentee academic success and satisfaction.
  • Current mentorship models often suffer from miscommunication, undefined roles, and goal misalignment.
  • Need for improved mentorship frameworks in healthcare environments.

Purpose of the Study:

  • To introduce and illustrate the agile mentorship process.
  • To address limitations of existing mentorship models using agile science principles.
  • To support effective mentoring relationships and mentee growth in healthcare.

Main Methods:

  • Qualitative analysis of 18 months of mentee reflections (n=56) from one clinician-scientist.
  • Two iterative cycles of exploratory content and relational analysis.
  • Inductive and deductive coding approaches with an ontological lens.

Main Results:

  • Four main themes emerged: Identification of shortcomings, adaptive perspective, managing relationships, and personal growth.
  • Personal growth included subthemes: Awareness, continual reflection, and toolkit development.
  • Mentee reflections illustrated significant personal growth within the agile mentorship process.

Conclusions:

  • The agile mentorship process provides a scalable, sustainable, and adaptable framework for career development.
  • The model effectively supports mentee growth and addresses common mentorship challenges.
  • Further evaluation is needed to assess the longitudinal impact on mentee performance and satisfaction.