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Related Concept Videos

Data Collection I01:30

Data Collection I

6.2K
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...
6.2K
Data Collection II01:29

Data Collection II

8.1K
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...
8.1K
Data Collection III01:05

Data Collection III

2.7K
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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
2.7K
Data Collection by Experiments01:13

Data Collection by Experiments

24.1K
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.”
An example of the experimental method is a public...
24.1K
Data Collection by Observations01:08

Data Collection by Observations

11.9K
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...
11.9K
Archival Research01:40

Archival Research

16.0K
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...
16.0K

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Related Experiment Video

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A Standardized Approach to Extra-Oral and Intra-Oral Digital Photography
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Data Collection in Dental Research: A Practitioner's Guide.

Tabitha Peter, Chandler Pendleton, Xian Jin Xie

    The International Journal of Oral & Maxillofacial Implants
    |June 21, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This tutorial provides best practices for data collection in scientific research, covering aim determination, study design, and documentation. It offers practical guidance and templates for dental researchers to improve data integrity.

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    Area of Science:

    • Health Sciences Research
    • Dental Research Methodology

    Background:

    • Effective data collection is crucial for the validity of any scientific investigation.
    • Existing research often lacks standardized, accessible guidelines for the initial stages of data collection.

    Purpose of the Study:

    • To outline best practices for key elements of the data collection process: specific aim determination, study design, and documentation.
    • To provide a tutorial-style guide with practical examples, particularly for dental research.
    • To offer resources, including templates and organized references, to aid researchers.

    Main Methods:

    • A tutorial approach is employed, detailing best practices for data collection.
    • Extended examples specific to dental research are used for illustration.
    • Supplemental materials include data collection templates and topic-organized references.

    Main Results:

    • The article successfully outlines three fundamental elements of data collection: aim, design, and documentation.
    • Tutorial sections conclude with summaries for reader convenience.
    • Templates and references are provided to facilitate the initiation of data collection processes.

    Conclusions:

    • Adherence to best practices in determining specific aims, designing studies, and meticulous documentation enhances data quality.
    • The principles discussed are directly applicable to dental research and generalizable to other health science fields.
    • The provided resources aim to streamline and improve the data collection process for researchers.