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Related Concept Videos

Data Validation01:03

Data Validation

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...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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Measures of Intelligence01:29

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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Concepts of Health and Illness01:29

Concepts of Health and Illness

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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Thoughts about conceptual models and measurement validity.

Jacqueline Fawcett1

  • 1Department of Nursing, University of Massachusetts Boston, USA.

Nursing Science Quarterly
|April 12, 2013
PubMed
Summary
This summary is machine-generated.

Ensuring measurement validity in nursing is crucial. This essay highlights the need to align conceptual models with research tools for stronger nursing research and practice.

Related Experiment Videos

Last Updated: May 12, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

  • Nursing Research
  • Measurement Validity
  • Theoretical Frameworks

Background:

  • Measurement validity is essential in nursing research and practice.
  • Existing focus often emphasizes linking middle-range theory concepts to measurement tools.
  • The congruence between conceptual models and research instruments requires greater attention.

Purpose of the Study:

  • To emphasize the importance of measurement validity in nursing.
  • To highlight the interconnectedness of conceptual, theoretical, and empirical aspects.
  • To advocate for enhanced focus on the alignment between conceptual models and measurement tools.

Main Methods:

  • Conceptual analysis of measurement validity.
  • Literature review on theoretical and empirical connections.
  • Discussion of conceptual models in nursing research.

Main Results:

  • Measurement validity relies on strong connections across conceptual, theoretical, and empirical domains.
  • The link between conceptual model concepts and measurement tools is often underexplored.
  • Improved congruence can enhance the quality of nursing research and practice.

Conclusions:

  • Strengthening the alignment between conceptual models and research instruments is vital for robust nursing research.
  • A holistic approach to measurement validity is necessary.
  • Further attention to conceptual model-instrument congruence will advance nursing science and practice.