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

Censoring Survival Data01:09

Censoring Survival Data

270
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
270
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

3.7K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
3.7K
Data Collection by Survey01:07

Data Collection by Survey

7.2K
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...
7.2K
Mismatch Repair01:20

Mismatch Repair

5.3K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
5.3K
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

4.8K
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
4.8K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K

You might also read

Related Articles

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

Sort by
Same authorSame journal

Should We Keep or Remove Outliers?

The Journal of nursing education·2026
Same author

Check for Outliers.

The Journal of nursing education·2026
Same author

Sub-lethal effects of natural cyanobacterial blooms on fish: Enzymatic activity and swimming performance in Gasterosteus aculeatus.

Harmful algae·2025
Same author

Questionable Research Practices: HARKing.

The Journal of nursing education·2025
Same author

Questionable Research Practices: Cherry Picking.

The Journal of nursing education·2025
Same author

Questionable Research Practices: <i>p</i>-Hacking.

The Journal of nursing education·2025

Related Experiment Video

Updated: Oct 4, 2025

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
07:10

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

10.2K

Missing Data.

Abdulaziz Abaoud, John M Taylor

    The Journal of Nursing Education
    |February 3, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Missing data can invalidate nursing research findings. Researchers should prevent, thoroughly describe, and use modern techniques to handle missing data, ensuring study validity.

    More Related Videos

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    14.7K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.4K

    Related Experiment Videos

    Last Updated: Oct 4, 2025

    Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
    07:10

    Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

    Published on: March 13, 2020

    10.2K
    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    14.7K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.4K

    Area of Science:

    • Nursing Research
    • Quantitative Methods
    • Mixed Methods

    Background:

    • Missing data can significantly impact the validity of conclusions in nursing research.
    • A review of recent publications in the Journal of Nursing Education indicates that missing data is often not adequately addressed.
    • This oversight poses a threat to the rigor of quantitative and mixed methods studies in nursing.

    Purpose of the Study:

    • To highlight the critical issue of missing data in nursing research.
    • To advocate for improved practices in handling missing data among nurse researchers.
    • To encourage the adoption of robust methodologies for addressing missing data.

    Main Methods:

    • The study involved a review of quantitative and mixed methods articles published in the Journal of Nursing Education.
    • The review focused on the extent to which missing data was acknowledged and addressed by authors.
    • The authors recommend specific strategies for researchers, reviewers, and editors.

    Main Results:

    • The review suggests that missing data is frequently overlooked in published nursing research.
    • Current practices often fail to adequately mitigate the potential negative impacts of missing data.
    • There is a need for greater attention to data completeness and analytical techniques.

    Conclusions:

    • Addressing missing data is crucial for maintaining the integrity and validity of nursing research findings.
    • Researchers must proactively manage missing data and employ advanced statistical methods.
    • Journal editors and reviewers play a vital role in enforcing rigorous standards for handling missing data.