The degree to which a measure obviously involves the performance being measured is termed as
logical validity
Understanding Measurement Validity
In the context of research and assessment, validity refers to the extent to which a measure accurately reflects the concept or performance it is intended to measure. There are different types of validity, each focusing on a specific aspect of measurement accuracy.
What is Logical Validity?
Logical validity, often considered a form of face validity, assesses how obvious or apparent it is that a measure is assessing what it is supposed to assess. It is a subjective judgment based on the appearance of the measure. If a measure looks like it is measuring the performance in question, it possesses logical validity.
For example, a test designed to measure skill in batting a cricket ball might include questions or tasks that involve striking a ball with a bat. On the face of it, this seems like a logical way to measure batting skill, thus having logical validity.
Analyzing the Options
Let's look at the provided options in relation to the question:
- simple validity: This is not a standard term used in the classification of measurement validity.
- content validity: This refers to the extent to which a measure covers all relevant aspects or dimensions of the construct being measured. It's about the representativeness of the content, not necessarily how obvious the relationship is.
- criterion validity: This involves assessing how well a measure predicts or correlates with an external criterion that is considered a standard. It's about the relationship with another variable, not the obviousness of the measurement itself.
- logical validity: As discussed, this directly relates to the degree to which a measure *obviously* or *logically* appears to involve the performance or concept being measured. This aligns perfectly with the question's description.
Based on the definitions, the term that describes the degree to which a measure obviously involves the performance being measured is logical validity.
Comparing Types of Validity
Here's a quick comparison of the relevant validity types:
| Validity Type | Focus | Ask Yourself... |
|---|---|---|
| Logical Validity (Face Validity) | Appearance; Obviousness | Does the measure *look like* it's measuring what it should? |
| Content Validity | Scope; Representativeness | Does the measure cover *all relevant aspects* of the concept? |
| Criterion Validity | Relationship with external standard | Does the measure *predict* or *correlate with* a known criterion? |
The question specifically asks about the "degree to which a measure obviously involves the performance being measured," which is the core definition of logical validity.
Revision Table: Key Validity Concepts
| Term | Definition | Key Characteristic |
|---|---|---|
| Validity | The extent to which a measure accurately assesses what it is intended to assess. | Accuracy of measurement |
| Logical Validity | The degree to which a measure *appears* to be relevant to the performance being measured. | Subjective judgment; surface appearance |
| Content Validity | The extent to which a measure covers the full range of the construct being measured. | Comprehensive coverage |
| Criterion Validity | The extent to which a measure is related to an external criterion. | Correlation with external variable |
Additional Information on Measurement Validity
While logical validity (or face validity) is the most superficial form of validity, it can still be important. A measure that lacks logical validity might not be taken seriously by participants or administrators, even if it is statistically sound in other ways. For example, a questionnaire designed to measure anxiety that contains questions completely unrelated to feelings of nervousness or worry would lack logical validity, making it difficult to use effectively.
Other types of validity, such as construct validity (which assesses if a measure accurately reflects the theoretical construct it is designed to measure), are also crucial for establishing the overall trustworthiness of a measurement tool. Logical validity is often a starting point, but it is not sufficient on its own to prove that a measure is truly accurate or useful.
Important Questions from General Steps in Research
- Give the correct sequence of phases in conducting any research
A. Construction of research design.
B. Disseminative phase
C. Conceptual phase
D. Analytic phase
E. Emperic phase
Choose the correct answer from the options given below : - The stages of 'development' of a relationship as given by mark Knapp are
(a) Integrating
(b) Bonding
(c) Experimenting
(d) Initiating
(e) Intensifying
Choose the correct answer from the options given below : - Arrange the steps of the scientific research process in their most logical and systematic order:
A. Formulation of testable hypotheses based on research gaps
B. Conducting a comprehensive literature review to understand the background
C. Preparing and presenting the research report with findings and recommendations
D. Defining the research problem clearly and precisely
E. Collecting high-quality data according to the research design
Choose the correct answer from the options given below: Which of the following sequences of research steps is nearer to scientific method?
A post-graduate degree holder student with 55% marks intends to pursue research for the award of Ph. D degree. What will be formal requirements in this regard? To indicate your correct answers choose from the code given below:
(a) Appearing is an admission test of a university
(b) Attending a coaching institute
(c) Consulting an expert teacher
(d) Submitting an application for enrollment
(e) Submitting a proposal for the research
(f) Discussing the research proposal with a peer group.
(g) Getting the opinion of the expert on the research theme.
(h) Getting the proposal approved by the relevant body of the university.
(i) Attending mandatory course work.
