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 I01:30

Data Collection I

6.4K
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...
6.4K
Data Validation01:03

Data Validation

5.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.2K
Data Collection III01:05

Data Collection III

2.9K
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...
2.9K
Data Collection by Observations01:08

Data Collection by Observations

12.3K
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...
12.3K
Ethical Standards I01:25

Ethical Standards I

905
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
905
Data Collection II01:29

Data Collection II

8.4K
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...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Private Equity in Behavior Analysis: A Reckoning.

Perspectives on behavior science·2025
Same author

A Primer on Private Equity Ownership in ABA.

Behavior analysis in practice·2025
Same author

Evaluating the Effects of Compound Stimuli on Stimulus Control during Match-to-Sample Procedures.

Behavior analysis in practice·2025
Same author

Choice versus no choice: Practical considerations for increasing choices.

Journal of applied behavior analysis·2024
Same author

The Scope of Practice of Applied Behavior Analysis in State Licensure Laws.

Behavior analysis in practice·2024
Same author

A Practitioner's Guide to Measuring Procedural Fidelity.

Behavior analysis in practice·2024
Same journal

Incorporating Qualitative Data when Training Behavior Analysts.

Behavior analysis in practice·2026
Same journal

Measurement of Emotions Tacting for Empathic Responding (METER): An Example of a Process for Creating an Inclusive Assessment of Emotion Recognition using Validated and Diverse Facial Expression Stimuli.

Behavior analysis in practice·2026
Same journal

Correction: Introduction to "Embracing Qualitative Research in Behavior Analysis: Lessons of Qualitative Research in/and Practice"-Part 2, Personal, Professional, and Pedagogical Perspectives.

Behavior analysis in practice·2026
Same journal

Conditioned Motivating Operations: Examples and Practical Considerations.

Behavior analysis in practice·2026
Same journal

Addressing Pervasive Myths About Qualitative Research to Promote Methodological Diversity in Applied Behavior Analysis.

Behavior analysis in practice·2026
Same journal

Practical Resources for Embedding Opportunities to Practice Dissemination-Related Skills Into Coursework and Supervision Experiences.

Behavior analysis in practice·2026
See all related articles

Related Experiment Video

Updated: Aug 14, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Toward an Understanding of Data Collection Integrity.

Cody Morris1, Alissa A Conway2, Jessica L Becraft3

  • 1Department of Psychology, Salve Regina University, 100 Ochre Point Ave, Newport, RI 02840 USA.

Behavior Analysis in Practice
|January 9, 2023
PubMed
Summary
This summary is machine-generated.

Data collection integrity is crucial in behavior analysis for informed decisions. This study identifies risk factors and strategies to improve data collection practices among behavior analysts.

Keywords:
Data accuracyData collectionData collection integrityTreatment integrity

More Related Videos

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.3K
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

12.1K

Related Experiment Videos

Last Updated: Aug 14, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.3K
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

12.1K

Area of Science:

  • Behavior Analysis
  • Clinical Psychology
  • Data Management

Background:

  • Data collection is fundamental to behavior analysis, guiding clinical decisions.
  • Data collection integrity (DCI) ensures data accuracy, and its compromise can lead to flawed interventions.
  • Limited research exists on factors affecting DCI in behavior analytic practice.

Purpose of the Study:

  • To evaluate risk factors associated with data collection integrity issues.
  • To identify interventions and strategies for enhancing DCI.
  • To contribute empirical data to the under-researched area of DCI.

Main Methods:

  • An online survey was administered to 232 Board-Certified Behavior Analysts (BCBAs) and Board-Certified Behavior Analysts-Doctoral (BCBA-Ds).
  • Participants provided information on demographics, data collectors, data collection systems, training, and DCI strategies.
  • Data were collected using Qualtrics™ survey platform.

Main Results:

  • The study identified numerous potential risk factors that may compromise DCI in behavior analytic practice.
  • Findings suggest that DCI issues may be more prevalent than previously understood.
  • Specific areas of concern regarding data collection were highlighted by participants.

Conclusions:

  • The prevalence of risk factors indicates a need for proactive DCI strategies.
  • Recommendations are provided to mitigate DCI issues and improve data quality.
  • Further research and practical applications are suggested to bolster DCI in behavior analysis.