Assertion (A): Extraneous Variables can influence the results of a research study.
Reason (R): Extraneous variables are not controlled by the researcher.
The assertion states that extraneous variables can influence the results of a research study. This statement is fundamentally true in research methodology. Extraneous variables are any variables that are not intentionally part of the study but could potentially affect the outcome (the dependent variable). If these variables are not managed or controlled, they can introduce bias or error, thus influencing the observed results. For instance, in a study testing a new teaching method's effect on student scores, factors like prior student knowledge, classroom distractions, or even the time of day could be extraneous variables that impact the test scores, regardless of the teaching method's effectiveness.
The reason given is that extraneous variables are not controlled by the researcher. This statement accurately describes a key characteristic of extraneous variables that makes them problematic. While researchers strive to control all potential influences, by definition, extraneous variables are those that are outside the scope of the independent variable being manipulated but may still affect the dependent variable. If a researcher successfully controls a variable, it ceases to be an *extraneous* influence on the outcome. Therefore, the very nature of an uncontrolled variable that potentially affects results is what defines it as an extraneous variable.
The assertion highlights the potential impact of extraneous variables on research outcomes. The reason explains *why* this influence occurs: because these variables are typically not controlled by the researcher. When an extraneous variable is left uncontrolled, it can systematically or randomly alter the dependent variable, leading to results that do not solely reflect the effect of the independent variable. Therefore, the fact that extraneous variables are often uncontrolled is the direct reason they can influence study results. This means Reason (R) provides a correct explanation for Assertion (A).
Both Assertion (A) and Reason (R) are accurate statements. Furthermore, Reason (R) correctly explains why Assertion (A) is true. The uncontrolled nature of extraneous variables is precisely what allows them to exert an influence on the findings of a research study.
Design used in experimental research in which groups are randomly formed and that controls most sources of invalidity is known as
‘Which of the following are the complete experimental research designs?
(A) Factorial design
(B) One group after-only design
(C) Before-after design with one experiment and two control groups
(D) Latin square design
(E) One-group before-after design
Choose the correct answer from the options given below:
Given below are two statements
Statement I An explanatory correlational design explains the degree of association among two or more. variables
Statement II In prediction correlational design, the investigator identifies variables that will positively predict an out come
Choose the correct answer.