The question of whether the results of a study can be generalized beyond the specific research context. relates to
External validity
In research, validity refers to the accuracy and credibility of the study's findings. There are different types of validity that researchers consider to ensure their results are meaningful and applicable.
Let's explore the validity types mentioned in the options:
The question asks about the concept related to whether the results of a study can be generalized beyond the specific research context. Let's match this with our understanding of the validity types:
Therefore, the ability to generalize study results beyond the specific research context directly relates to the concept of external validity.
| Validity Type | Primary Focus | Related to Generalization? |
|---|---|---|
| Measurement Validity | Accuracy of measurement | No |
| Internal Validity | Cause-and-effect within study | No |
| External Validity | Generalizability of results | Yes |
| Ecological Validity | Realism of research setting | Partially (a type of external validity) |
The question specifically asks about generalizing results beyond the specific research context. This definition aligns perfectly with external validity.
| Term | Definition | Relevance |
|---|---|---|
| Validity | Accuracy and credibility of research findings. | Essential for reliable research. |
| External Validity | Ability to generalize results to other populations, settings, and times. | Crucial for applying research findings in the real world. |
| Internal Validity | Confidence that the independent variable caused the observed effect. | Important for establishing causal relationships. |
High external validity is crucial because it determines how useful the research findings are outside the laboratory or specific study conditions. If a study has low external validity, its results might only apply to the specific group of participants studied, in that particular setting, and at that specific time. Researchers often strive to balance internal and external validity, as sometimes increasing one can make it harder to achieve the other. For example, a highly controlled laboratory experiment might have very high internal validity (strong cause-effect conclusion) but low external validity (results may not apply to complex real-world situations).
Given below are two statements:
Statement I: A discrete variable can represent only finite set of values.
Statement II: A continuous variable can be broken into subparts including fractions.
In the light of the above statements, choose the correct answer from the options given below:
Match the items of List I with the items of List II and choose the correct answer from the code given below.
List I | List II | ||
(a) | Extraneous variable | (i) | Variables in between cause and effect |
(b) | Independent variable | (ii) | Variable to be affected by manipulated variable |
(c) | Intervening variable | (iii) | Variable which is manipulated |
(d) | Dependent variable | (iv) | Uncontrolled variable having significant effect on unmanipulated variable |
The term 'categorical' variables is used for the data measured on
Given below are two statements: one is labelled as Assertion A and other is labelled as Reason R
Assertion A: Experimental research allows you to eliminate the influence of many extraneous factors.
Reason R: In experimental research variables are actively manipulated and environment is as controlled as possible
In the light of the above statements. Choose the correct answer from the options given below:
In much of social research, the variables used are