Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Collection II01:29

Data Collection II

9.7K
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...
9.7K
Data Collection I01:30

Data Collection I

7.9K
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...
7.9K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

935
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
935
Data Collection by Experiments01:13

Data Collection by Experiments

27.2K
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...
27.2K
Data Collection by Survey01:07

Data Collection by Survey

8.8K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
8.8K
Data Collection III01:05

Data Collection III

4.0K
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...
4.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Controlling MoS<sub>2</sub> Nanosheet Size and Network Conductivity through Alkylammonium Ion Selection.

ACS applied materials & interfaces·2026
Same author

Exploring Clinical Decision-Making in Static Computer-Assisted Guided Implant Placement: A Survey of Clinicians in Australia and New Zealand.

Australian dental journal·2026
Same author

The Electrical and Morphological Characteristics of Networks of Mechanically Exfoliated Nanosheets.

Small science·2025
Same author

Decoupling Junction and Nanosheet Transport in Graphene Networks via Simple DC Temperature-Dependent Measurements.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Electronic properties and circuit applications of networks of electrochemically exfoliated 2D nanosheets.

Nature communications·2025
Same author

Using Electrical Impedance Spectroscopy to Separately Quantify the Effect of Strain on Nanosheet and Junction Resistance in Printed Nanosheet Networks.

Small (Weinheim an der Bergstrasse, Germany)·2024
Same journal

Guideline Quick View: Environmental Hygiene.

AORN journal·2026
Same journal

Air Quality as a Cornerstone of Sterile Technique.

AORN journal·2026
Same journal

Brief Limb-Focused Prewarming in Adults Undergoing General Anesthesia: A Randomized Trial.

AORN journal·2026
Same journal

Clinical Issues - July 2026.

AORN journal·2026
Same journal

The Power of Learning From Mishaps and Missteps.

AORN journal·2026
Same journal

Embracing the Future of Care.

AORN journal·2026
See all related articles

Related Experiment Video

Updated: Jan 25, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.1K

A Practical Guide to Performance Improvement: Data Collection and Analysis.

Anthony Dawson

    AORN Journal
    |April 27, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This article details performance improvement (PI) data collection and analysis, emphasizing its importance for successful project outcomes. Learn essential methods for data gathering, analysis, and presentation in PI initiatives.

    Keywords:
    Pareto chartcause and effect diagramdata collectionperformance improvementsample size

    More Related Videos

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
    12:08

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

    Published on: August 13, 2014

    25.0K
    Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
    08:36

    Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

    Published on: August 8, 2019

    12.7K

    Related Experiment Videos

    Last Updated: Jan 25, 2026

    A Practical Guide to Phylogenetics for Nonexperts
    12:00

    A Practical Guide to Phylogenetics for Nonexperts

    Published on: February 5, 2014

    36.1K
    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
    12:08

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

    Published on: August 13, 2014

    25.0K
    Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
    08:36

    Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

    Published on: August 8, 2019

    12.7K

    Area of Science:

    • Healthcare Management
    • Quality Improvement Science

    Background:

    • Effective performance improvement (PI) relies heavily on robust data collection and analysis.
    • Understanding data management is crucial for successful PI project outcomes.

    Purpose of the Study:

    • To elucidate performance improvement (PI) data collection processes.
    • To present various tools for data analysis and visualization in PI projects.
    • To guide readers on determining data requirements, collection, analysis, and presentation formats.

    Main Methods:

    • Discussion of data collection methodologies relevant to PI.
    • Overview of analytical and display tools for PI data.
    • Inclusion of practical examples for implementing data collection and analysis tools.

    Main Results:

    • Readers will gain a comprehensive understanding of PI data processes.
    • Knowledge of how to select and utilize appropriate data collection and analysis tools.
    • Insight into presenting data effectively throughout a PI project lifecycle.

    Conclusions:

    • Proficiency in data collection and analysis is vital for effective PI.
    • The article serves as a guide for PI team members to enhance project success through data utilization.
    • Readers will be better equipped to manage and interpret data in PI initiatives.