Construct Validity
Construct Validity - Related Videos
09:18
Feeding Experimentation Device (FED): Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents
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Cited by 9 •
2017
Feeding Experimentation Device (FED) is an open-source device for measuring food intake in mice. FED can also synchronize food intake measurements with other techniques via a real-time digital output. Here, we provide a step-by-step tutorial for the construction, validation, and usage of FED.
01:29
Reliability and Validity
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2020
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. Unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. To illustrate this concept, consider a kitchen...
10:08
Construction and Setup of a Bench-scale Algal Photosynthetic Bioreactor with Temperature, Light, and pH Monitoring for Kinetic Growth Tests
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Cited by 4 •
2017
This paper describes the assembly process and operation of a bench-scale photosynthetic bioreactor that can be used, in conjunction with other methods, to estimate pertinent kinetic growth parameters. This system continuously monitors the pH, light, and temperature using sensors, a data acquisition and control unit, and open-source data acquisition software.
13:48
Design and Construction of an Urban Runoff Research Facility
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Cited by 6 •
2014
This paper describes the design, construction, and function of a 1,000 m2 facility containing 24 individual 33.6 m2 field plots equipped for measuring total runoff volumes with time and collection of runoff subsamples at selected intervals for quantification of chemical constituents in the runoff water from simulated home lawns.
12:04
Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing
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Cited by 4 •
2018
The protocols described allow the construction, characterization and selection (against the target of choice) of a "domainome" library made from any DNA source. This is achieved by a research pipeline that combines different technologies: phage display, a folding reporter and next generation sequencing with a web tool for data analysis.
FAQs
Convergent evidence supports an interpretation when a measure relates to measures of theoretically related constructs. Discriminant evidence supports it when the measure remains separable from measures of distinct constructs. Considering both patterns is important because a strong association alone may not show that the measure captures the intended psychological construct rather than a neighboring or broader one.
Factor structure shows how responses organize within the measure, providing evidence about whether its components reflect the theorized construct. Response processes concern how people understand and answer the items or tasks, offering another perspective on what the measure is actually capturing. Together, these forms of evidence extend validity evaluation beyond correlations with other measures.
Weak construct validity makes it uncertain whether an observed result reflects the theoretical phenomenon under study. An apparent effect may instead arise because a test, measure, or experimental manipulation represents the construct poorly. Consequently, conclusions about abilities, traits, symptoms, or behaviors become less secure, even when the statistical pattern itself appears clear.
The evidence must match the role of the psychological tool. For a test or measure, researchers can examine predicted relationships, factor structure, and response processes. For an experimental manipulation, they must consider whether the manipulation represents the theoretical construct it is intended to change or probe. In each case, validity supports the interpretation assigned to the tool.
Researchers begin with theoretical predictions about how the test, measure, or manipulation should relate to other psychological variables. They then compare those predictions with observed relationships, looking for convergent evidence among related constructs and discriminant evidence among distinct ones. They may also examine factor structure and response processes to build a broader evidence base for interpretation.
It is especially important when researchers develop instruments, test theories, or interpret findings about abilities, traits, symptoms, and behaviors. In these settings, the central conclusions depend on whether the selected measure or manipulation represents the intended construct. Evaluating validity helps distinguish evidence about the psychological phenomenon from results attributable to weaknesses in measurement.
Construct validity clarifies whether repeated studies are examining the same theoretical phenomenon rather than superficially similar measurements. When measures and manipulations adequately represent their intended constructs, relationships observed across studies provide stronger support for theory testing and replication. If validity is weak, inconsistent findings may reflect differences or problems in measurement instead of genuine differences in the phenomenon.