UGC NET Questions (Paper – 1)

A moderator variable influences the nature of the relationship between an independent and a dependent variable by strengthening, weakening or even reversing the effect under different conditions. For example, the impact of a teaching method on achievement might differ depending on students’ prior knowledge, which acts as a moderator. Recognising moderators helps researchers understand under what circumstances a treatment works best. Hence, a variable that alters the strength or direction of a relationship is correctly called a moderator variable.

Option A:
An intervening, or mediating, variable explains the mechanism through which an independent variable affects a dependent variable, focusing on the process rather than on altering the strength of the relation, so it is conceptually distinct from a moderator.

Option B:
Moderator variables are incorporated into analysis through interaction terms, allowing researchers to test whether the effect of the independent variable changes across levels of the moderator. This property aligns exactly with the description in the stem, making this option correct.

Option C:
The dependent variable represents the outcome or response being measured and does not modify the relationship between other variables; instead, it is influenced by them.

Option D:
Extraneous variables are uncontrolled factors that may influence the dependent variable and threaten internal validity, but they are not intentionally studied as variables that systematically change the strength or direction of the main relationship.

Statements A, B and C accurately define control, moderator and mediator variables, and F adds an important implication. A is true because researchers hold control variables constant to prevent them from confounding the relationship between independent and dependent variables. B correctly states that moderator variables change the strength or direction of this relationship, and C is right that mediators explain how or why an effect occurs. F is also true since identifying such variables helps develop more refined theoretical models, whereas D and E are false because not all extraneous variables are mediators and moderators are often crucial in educational research.

Option A:
Option A omits statement F and therefore fails to acknowledge how identifying mediators and moderators enriches theoretical understanding. Although A, B and C are correct, leaving out F means the combination does not include all the true statements identified in the item. Consequently, it is incomplete.

Option B:
Option B wrongly includes statement D, which asserts that all extraneous variables are mediators. Many extraneous variables do not function as mediators in a causal chain; they may simply add noise or bias. By grouping D with otherwise correct statements, this option becomes conceptually inaccurate.

Option C:
Option C is correct because it selects statements A, B, C and F, all of which align with standard definitions and implications in research design. It excludes D and E, which misrepresent extraneous variables and the relevance of moderators. Therefore this combination contains all and only the true statements.

Option D:
Option D omits statement A and includes D, making it doubly problematic. It loses the essential notion of a control variable and adopts the false idea that all extraneous variables are mediators. Such a combination cannot be considered correct.

Statements A, B, C and E correctly define important kinds of variables in research, while statement D is wrong. Statement A is true because the independent variable is manipulated or selected by the researcher to see its effect on the dependent variable. Statement B correctly identifies the dependent variable as the outcome that is expected to change when the independent variable is varied, and statement C accurately describes extraneous variables as influences on the dependent variable that are not of primary interest. Statement E is also correct since moderator variables interact with the independent and dependent variables to modify the strength or direction of their relationship, whereas statement D is false because control of extraneous variables is important irrespective of sample size.

Option A:
Option A treats both B and D as wrong, but this is not accurate. While D is indeed incorrect, B is a correct description of the dependent variable as the outcome that responds to changes in the independent variable. By misclassifying a true statement as wrong, this option fails to identify the wrong statement set properly and therefore cannot be the correct answer.

Option B:
Option B classifies C and D as wrong statements. Although D is wrong, C is correct because extraneous variables are exactly those variables that may unintentionally influence the dependent variable even though they are not the main focus of the study. Since this option marks a correct statement as wrong and omits the correct status of A, B and E, it is invalid.

Option C:
Option C combines A, B and D and implicitly treats all three as wrong. Both A and B are actually accurate definitions of independent and dependent variables, respectively. Including these correct statements with D, which is wrong, leads to an incorrect grouping of wrong statements, so this option cannot be chosen.

Option D:
Option D correctly identifies D as the only wrong statement. It recognises that even large samples cannot substitute for proper control of extraneous variables because uncontrolled influences can still bias results. By leaving A, B, C and E untouched as correct statements and singling out D, this option best answers the instruction to select the wrong statements.