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

Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.1K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

1.4K
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...
1.4K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

37.9K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
37.9K
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

181
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
181
Data Collection by Survey01:07

Data Collection by Survey

6.4K
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...
6.4K
Surveys02:16

Surveys

14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K

You might also read

Related Articles

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

Sort by
Same author

Understanding workplace peer support among healthcare assistants providing palliative and end-of-life care at home: A realist review.

Palliative medicine·2026
Same author

Nurses' experiences of 'failing to fail': barriers and enablers in clinical nursing education - a qualitative study.

Journal of research in nursing : JRN·2026
Same author

The integration of cognitive behavioural therapy in undergraduate nurse education: a scoping review.

Nurse education today·2026
Same author

Examining Compassionate Workplace Interventions for Employees Navigating Serious Illness, Caregiving, Death, or Bereavement: Protocol for a Scoping Review.

JMIR research protocols·2026
Same author

Health care assistants in out of hours community palliative care: multiple qualitative organisational case studies.

BMC palliative care·2026
Same author

Exploring the role and responsibilities, motivations, and career aspirations of clinical research nurses: a qualitative study.

Journal of research in nursing : JRN·2026
Same journal

Managing Emotion in Clinical Supervision Through Oller-Vallejo's Model of Ego States.

Journal of psychiatric and mental health nursing·2026
Same journal

The Royal College of Nursing Position on Protecting the Fields of Nursing in the United Kingdom: Implications for Mental Health Nursing.

Journal of psychiatric and mental health nursing·2026
Same journal

Allyship in Psychiatric and Mental Health Services: A Scoping Review and Thematic Analysis.

Journal of psychiatric and mental health nursing·2026
Same journal

Facing the Crowd With a Racing Heart: A Lived Experience of Social Anxiety in Nursing Education.

Journal of psychiatric and mental health nursing·2026
Same journal

Conversion Practices in Eating Disorder Treatment: A Lived Experience Narrative.

Journal of psychiatric and mental health nursing·2026
Same journal

Clinician Well-Being as a Mental Health Equity Issue: Reflections From Crisis Care Systems in Ireland and Indonesia.

Journal of psychiatric and mental health nursing·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

5.8K

Data Measurement, Instruments and Sampling.

Paul Slater1, Felicity Hasson1

  • 1Institute of Nursing and Health Research, Ulster University, Coleraine, UK.

Journal of Psychiatric and Mental Health Nursing
|December 10, 2024
PubMed
Summary
This summary is machine-generated.

Accurate quantitative research relies on precise data measurement, appropriate instrument selection, and unbiased sampling methods. Understanding these core concepts ensures reliable, valid data for robust statistical analysis and interpretation.

Keywords:
data managementinstrumentsquantitativesampling

More Related Videos

Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.4K
Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.3K

Related Experiment Videos

Last Updated: Jun 5, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

5.8K
Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.4K
Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.3K

Area of Science:

  • Quantitative Research Methodologies
  • Data Collection and Analysis

Background:

  • Data measurement, instrument selection, and sampling are foundational pillars in quantitative research.
  • Effective data collection necessitates a clear understanding of these fundamental research elements.

Purpose of the Study:

  • To define and elucidate the critical concepts of data measurement, instrument selection, and sampling in quantitative research.
  • To emphasize the importance of these elements for ensuring data quality and research integrity.

Main Methods:

  • Conceptual review of data measurement principles, including precision and accuracy.
  • Analysis of criteria for effective instrument selection, focusing on reliability and validity.
  • Explanation of sampling techniques for representative and generalizable population subsets.

Main Results:

  • Data measurement involves assigning precise numeric values or categories to variables.
  • Instrument selection requires choosing tools that ensure data reliability and validity.
  • Sampling provides a bias-free subset for generalizable population representation.

Conclusions:

  • A thorough understanding of data measurement, instrument selection, and sampling is essential for valid and reliable quantitative data.
  • These principles underpin the integrity of statistical analysis and the interpretability of research findings.