Related Experiment Video
Updated: Jun 18, 2025
12:55
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
8.4K
Development and validation of meta-measurement instruments: A methodological approach.
Irene Llagostera-Reverter1, David Luna-Aleixós2, María Jesús Valero-Chillerón1
1Grupo de Investigación en Enfermería (GIENF-241), Universitat Jaume I, Castellón, Spain.
Enfermeria Clinica
|July 27, 2024
Summary
Developing nursing assessment meta-instruments can improve efficiency by consolidating multiple tools. This approach aims for parsimonious measurement while maintaining diagnostic capacity, addressing a gap in current nursing research.
Area of Science:
- Nursing
- Health Sciences
- Psychometrics
Background:
- Effective nursing assessment is crucial for patient care and safety.
- The proliferation of assessment tools can impede efficiency.
- Consolidating instruments into a meta-instrument offers a potential solution for enhanced efficiency.
Purpose of the Study:
- To propose a phased approach for constructing nursing assessment meta-instruments.
- To outline methodological alternatives for meta-instrument development.
- To emphasize the importance of validating psychometric properties and diagnostic capacity.
Main Methods:
- Literature review on meta-instrument construction and validation.
- Proposal of a phased construction framework.
- Discussion of methodological choices based on original instrument characteristics and study aims.
- Identification of checklists for psychometric evaluation.
Main Results:
- A structured proposal for meta-instrument development phases is presented.
- Various methodological options for construction and validation are discussed.
- Checklists for assessing psychometric properties and diagnostic capacity are highlighted.
Conclusions:
- Meta-instruments offer a strategy to enhance the efficiency of nursing assessments.
- Rigorous validation of psychometric properties and diagnostic capacity is essential.
- Further research is needed to address challenges in developing nursing assessment meta-instruments.
Related Concept Videos
01:15Data Validation
155
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:
Key parameters for method validation include:
155
01:29Reliability and Validity
12.7K
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.
12.7K
01:29Measures of Intelligence
7.1K
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.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.1K
01:15Systematic 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...
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
01:20Random and Systematic Errors
10.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
10.9K
03:37Uncertainty in Measurement: Accuracy and Precision
73.6K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
73.6K