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Related Concept Videos

Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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Related Experiment Video

Updated: Jul 27, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Engaging Students, Faculty, and External Professionals with a Data-Centered Group Capstone Project.

Andre R Neveu1, Angela M Smith1

  • 1Department of Economics, James Madison University, 800 S. Main Street, Harrisonburg, VA 22807 USA.

Eastern Economic Journal
|June 5, 2023
PubMed
Summary
This summary is machine-generated.

This data-centered capstone project empowers students to collect, analyze, and present research data. It fosters teamwork, communication, and data interpretation skills through flexible, self-directed learning experiences.

Keywords:
Capstone projectEconomic educationExperiential learningExternal stakeholdersStudent agency

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Area of Science:

  • Educational methodology
  • Capstone project design
  • Experiential learning

Background:

  • Traditional capstone projects often lack student autonomy.
  • Need for effective pedagogical approaches in higher education.
  • Importance of practical data handling skills for graduates.

Purpose of the Study:

  • To outline a data-centered capstone project structure.
  • To enhance student engagement and learning outcomes.
  • To integrate external stakeholder involvement.

Main Methods:

  • Student-led topic selection and research direction.
  • Data collection, analysis, and multimodal presentation by student groups.
  • Incorporation of external stakeholders (alumni, industry professionals).

Main Results:

  • Cultivation of teamwork, effective communication, and data interpretation abilities.
  • Development of a flexible project framework adaptable to various focuses and deliverables.
  • Positive student engagement and skill development observed.

Conclusions:

  • The data-centered capstone model offers a robust framework for skill development.
  • Flexibility and stakeholder involvement enhance the educational value.
  • This project structure effectively prepares students for real-world data challenges.