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

What are Estimates?01:06

What are Estimates?

8.9K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.9K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

252
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
252
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

45.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.1K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.4K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.4K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.9K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.9K

You might also read

Related Articles

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

Sort by
Same authorSame journal

Editorial: Promoting replicability: empowering method and applied researchers in driving reliable results.

Frontiers in psychology·2026
Same author

The entactogen MDMA (3,4-methylenedioxymethamphetamine, "Ecstasy") disrupts helping behaviour while reinforcing electrophysiological indicators of potentially associated synaptic plasticity in male Sprague-Dawley rats.

Frontiers in pharmacology·2026
Same author

Preoperative assessment of meningioma grade using ADC ratios: A multi-observer analytical approach.

Neuro-Chirurgie·2025
Same author

Proposal of an alternative way of reporting the results of comparative simulation studies.

Frontiers in psychology·2025
Same author

Impulsivity traits moderate the longitudinal association between mental health and hazardous cannabis use in emerging adults.

Drug and alcohol review·2025
Same author

Validation and analysis of the metric properties of the Leadership Virtues Questionnaire in work and organizational psychologists and individuals who perform leadership functions in Chile.

PloS one·2024
Same journal

Adverse and positive childhood experiences in relation to adolescent mental health: sequential indirect associations.

Frontiers in psychology·2026
Same journal

Personality profiles and usage experience are associated with trust and dependence on generative AI: a latent profile analysis.

Frontiers in psychology·2026
Same journal

The mediating roles of the challenge appraisal in the relationship between the coach-athlete relationship and adolescent athletes' burnout.

Frontiers in psychology·2026
Same journal

Unpacking GenAI-enabled deep learning engagement: role perceptions, human-GenAI synergy strategies, and underlying mechanisms.

Frontiers in psychology·2026
Same journal

Violence exposure and cyberbullying among Chinese adolescents: the mediating role of moral disengagement.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

25.8K

The (Ir)Responsibility of (Under)Estimating Missing Data.

María P Fernández-García1, Guillermo Vallejo-Seco1, Pablo Livácic-Rojas2

  • 1Facultad de Psicología, Universidad de Oviedo, Oviedo, Spain.

Frontiers in Psychology
|May 8, 2018
PubMed
Summary
This summary is machine-generated.

Losing data in clinical psychology research can invalidate study results. This paper details causes, consequences, and expert-recommended methods for handling missing data effectively.

Keywords:
advice of the expertsmissing datapreventionrecommendations of the expertssensitivity analysiswarnings

More Related Videos

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

965
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

12.4K

Related Experiment Videos

Last Updated: Feb 11, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

25.8K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

965
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

12.4K

Area of Science:

  • Clinical Psychology
  • Research Methodology
  • Statistical Analysis

Background:

  • Missing data is a common challenge in research.
  • It can significantly impact statistical and substantive inferences.
  • Failure to address missing data can invalidate study findings.

Purpose of the Study:

  • To identify causes and consequences of missing data in clinical psychology research.
  • To summarize expert recommendations for handling missing data.
  • To demonstrate the detrimental effects of missing data on research outcomes.

Main Methods:

  • Review of expert recommendations for missing data procedures.
  • Simulation of missing data under Missing Completely At Random (MCAR) and Missing At Random (MAR) mechanisms.
  • Analysis of available data using listwise deletion in two distinct research designs (quasi-experimental and experimental).

Main Results:

  • Missing data can lead to complex data analysis challenges.
  • Specific procedures are recommended for recovering missing information.
  • Listwise deletion can produce biased results, especially with higher missing data rates.

Conclusions:

  • Adhering to expert advice is crucial for successful data analysis.
  • Understanding missing data mechanisms (MCAR, MAR) is important.
  • Proactive strategies are needed to mitigate the negative impact of missing data on research conclusions.