UGC NET Questions (Paper – 1)

A is correct because logical following means the conclusion must necessarily hold if the statements are true. D is also correct since the test requires ignoring outside knowledge, and E is true as some items use several statements jointly. B is wrong because factual truth in real life does not guarantee that the conclusion is logically implied by the given statements. C is wrong because conclusions that go beyond the given information are usually treated as not following, even if they appear plausible. Therefore, B and C only are the wrong statements.

Option A:
Option A recognises only B as wrong and ignores C, which also mischaracterises strong conclusions by equating them with extra information. Hence it does not capture all incorrect statements.

Option B:
Option B picks only C as wrong and overlooks B, which conflates real-world truth with logical implication. This again fails to identify the full set of wrong statements.

Option C:
Option C is correct because it groups together B and C, the two statements that mislead about how logical following is judged, while leaving A, D and E as the accurate descriptions of statement–conclusion reasoning.

Option D:
Option D incorrectly adds D to the list of wrong statements, even though D is true about ignoring outside knowledge, and so misclassifies a correct rule.

A research question is an interrogative statement that expresses what the researcher wants to know, framed in a way that can be investigated systematically. It provides direction for selecting methods, participants and analysis strategies. Good research questions are specific, feasible and significant. Because the stem describes a clear, focused and answerable interrogative statement that guides investigation, it is referring to a research question.

Option A:
A hypothesis is a declarative, testable proposition about relationships between variables that often arises from refining a research question. While related, a hypothesis is not itself interrogative. Since the stem emphasises an interrogative form, hypothesis is not the best answer.

Option B:
Objectives are declarative statements of what the researcher intends to achieve, typically beginning with verbs like “to examine” or “to compare.” They are not phrased as questions but as aims. Therefore, objective does not fit the interrogative nature highlighted in the stem.

Option C:
A proposition is a general statement that asserts a possible relationship or regularity, often used in theory development. It may be broader or less directly testable than a research question. The stem, however, focuses on a clear and answerable question guiding a specific investigation, pointing more precisely to a research question.

Option D:
Research questions translate broad topics into manageable inquiries that can be addressed with empirical methods. They play a crucial role in aligning literature review, method selection and analysis. This guiding function matches the stem’s description, confirming research question as the correct completion.

Demographic dividend refers to the economic opportunity that arises when a country’s working-age population is large relative to the dependent population (children and elderly). If accompanied by investments in health, education and jobs, this age structure can boost productivity and growth.

Option A:
Option A is incorrect because a rising share of elderly people usually increases dependency and fiscal pressure rather than creating a dividend.

Option B:
Option B is incorrect since a sudden rise in births initially increases child dependency and delays any potential dividend.

Option C:
Option C is correct as it links the concept to economic growth potential created by a favourable age structure, provided appropriate policies are in place.

Option D:
Option D is incorrect because child welfare alone is not enough; without employment and human capital for the growing youth cohort, the dividend may never materialise.

Upadhi is introduced to explain why an apparently universal relation between hetu and sadhya fails in some cases. It identifies a hidden condition on which the association actually depends, thereby revealing that the original vyapti was overgeneralised. By bringing the upadhi to light, logicians refine the universal so that it becomes truly exceptionless. In this way, upadhi plays a key role in clarifying the boundaries of valid inference.

Option A:
Option A is correct because upadhi literally means "subsidiary condition" and marks the factor that must be added to the hetu for a genuine, unrestricted vyapti to hold. Recognising it prevents fallacious reasoning based on misleadingly broad generalisations.

Option B:
Option B, trairupya, refers to the three marks of a valid hetu and does not itself name a limiting condition on vyapti.

Option C:
Option C, paksa dharma, simply designates a property possessed by the paksha and may or may not involve hidden conditions; it is a descriptive term rather than a diagnostic one.

Option D:
Option D, samsaya, denotes doubt as a mental state that prompts inquiry but is not the technical device for delimiting universals.

A pilot study is a trial run conducted with a small sample resembling the target population to check whether research procedures, tools and logistics work as intended. It helps identify ambiguities in questions, timing issues, recruitment difficulties and other practical problems. Findings from the pilot are used to refine instruments and plans before launching the full-scale study. Thus, the small-scale preliminary study described in the stem is correctly called a pilot study.

Option A:
Pilot studies often reveal unexpected challenges, such as low response rates or confusing instructions, allowing researchers to make adjustments that improve data quality in the main study. This testing of feasibility and procedures matches the stem, making this option correct.

Option B:
Experimental studies are full-scale investigations that manipulate variables to test hypotheses rather than small preliminary tests of feasibility. They come after methods have been refined.

Option C:
Correlational studies examine relationships among variables without manipulating them and are not defined by being preliminary trials, so they do not fit the stem.

Option D:
Evaluative studies assess the effectiveness or value of programmes or interventions and are usually full studies in their own right, not preparatory tests before another major investigation.

Each group here consists of four letters that are all equally spaced from each other in the alphabet. ADGJ has evenly increasing positions, and BEHK, CFIL and DGJM repeat the same internal spacing with their own starting letters. From one group to the next, every letter moves forward by one place, so the columns form simple increasing sequences. Moving each letter of DGJM forward by one produces EHKN, which is the only option that keeps the equal spacing and column wise step, making it the correct continuation.

Option A:
Option A is correct because EHKN follows directly after DGJM when each column is advanced by one letter. The distances between E, H, K and N match those inside the earlier groups exactly. It therefore extends both the vertical progressions and the internal even steps of the series.

Option B:
Option B, EHKM, uses the correct first three letters but changes the last letter so that the gap from K to M differs from the established spacing. This small alteration breaks the exact pattern that has been followed consistently. Because the internal distances are disturbed, EHKM cannot be the next term.

Option C:
Option C, FIKN, begins with F instead of E and alters multiple letters, which no longer come from a simple one step shift of DGJM. Its internal arrangement does not fit the regular ladder structure of the series. Hence FIKN is not acceptable as the correct answer.

Option D:
Option D, EGKM, mixes letters that do not align properly with the existing column sequences and ignore the equal spacing between positions. The changes in the inner parts of the group do not match the mechanical rule used earlier. Therefore EGKM does not continue the series correctly.

The Environment (Protection) Act was enacted in 1986 in the aftermath of the Bhopal gas tragedy. It provides a comprehensive legal framework empowering the central government to set standards and issue notifications for environmental protection. Because the stem refers to this umbrella legislation,1986 is the correct year.

Option A:
The year 1972 is associated with the Stockholm Conference on the Human Environment,which influenced Indian environmental policy but did not itself create the Environment (Protection) Act. Therefore 1972 is not the right completion for the Act’s year.

Option B:
1986 marks the formal adoption of the Environment (Protection) Act,under which various rules such as those for hazardous waste and coastal regulation have been issued. This makes it the accurate answer to the question.

Option C:
The year 1991 is known in India for major economic liberalisation measures. It does not correspond to the passage of this specific environmental act,so it is not appropriate here.

Option D:
The year 2002 has significance for some conservation initiatives but is unrelated to the original enactment of the Environment (Protection) Act. Thus it is not the correct option.

Statements A, B, D and E are correct and show how forests support livelihoods, governance and ecological functions. Forests supply products and services, community management can share benefits, secure tenure often supports stewardship and forests influence local climate and water cycles. C is wrong because monoculture plantations typically reduce biodiversity, and F is wrong because traditional knowledge is important for sustainable use and conservation. Thus, A, B, D and E only is the correct combination.

Option A:
Option A is incorrect as it leaves out E, failing to acknowledge the climatic and hydrological roles of forests. Without E, the answer focuses mainly on products and governance, not on ecosystem regulation.

Option B:
Option B is incorrect since it includes F and omits A. Accepting F dismisses the value of traditional knowledge, and dropping A ignores the broad range of forest products and services. This combination is therefore conceptually weak.

Option C:
Option C is correct because it includes all the true statements and excludes C and F, which misrepresent plantations and knowledge. It reflects the multifaceted importance of forests to both people and environment in this unit.

Option D:
Option D is incorrect because it contains C, treating biodiversity-increasing monocultures as correct, which is generally not the case. Including C undermines understanding of the ecological costs of converting natural forests.

Statements C and D are wrong, whereas A and B correctly describe carbon taxes and emissions trading. Market-based instruments are important but usually need to be complemented by regulations, technology policies and behavioural measures, so they are not always sufficient on their own. Fossil fuel subsidies in fact encourage continued use of high-carbon fuels and hinder transitions to low-carbon systems. Therefore, the wrong statements are C and D together.

Option A:
Option A is incorrect because it picks C only and ignores D, even though fossil fuel subsidies also contradict the idea of low-carbon transition. Selecting only C fails to identify all wrong statements.

Option B:
Option B is correct as it recognises that both C and D misrepresent mitigation policies. It acknowledges the complementary role of regulatory instruments and notes that fossil fuel subsidies are inconsistent with climate goals. This combination therefore matches the requirement to select the wrong statement or statements.

Option C:
Option C is incorrect because it includes B, C and D as wrong. Statement B is actually correct in explaining how cap-and-trade systems work, so grouping it with the wrong statements makes this option invalid.

Option D:
Option D is incorrect since it singles out D only as wrong and treats C as correct. Accepting C would imply that market instruments alone make regulations redundant, which is not supported by climate policy practice.

The National Education Policy 2020 is the comprehensive document that superseded the earlier National Policy on Education 1986 and its 1992 modifications. It lays out a holistic vision for school and higher education, including structural reforms, multidisciplinary learning and quality improvement. The stem clearly refers to the policy that replaced NPE 1986 and now guides higher education, which is the National Education Policy 2020. Thus, Option A is correct.

Option A:
National Education Policy 2020 addresses all levels of education and is explicitly described as replacing the earlier NPE. It sets out goals and strategies for access, equity and quality, directly matching the description in the question. Hence, this option accurately completes the statement.

Option B:
New Examination Policy would focus only on assessment practices and is not the name of the broader policy that governs the entire education system. Therefore, Option B does not fit the stem.

Option C:
New Employment Policy and National Employment Plan would relate primarily to labour market strategies and job creation, not to comprehensive restructuring of education. Options C and D are therefore not appropriate answers here.

Option D:
National employment plans focus on economic and labour policy, whereas the stem is clearly about an education policy document. Since National Employment Plan has no formal status as the successor to NPE 1986 in the education context, this option cannot be correct.

Internal validity refers to the degree to which a study is free from confounding influences and alternative explanations, so that changes in the dependent variable can be ascribed to the independent variable. High internal validity is achieved through control of extraneous variables, random assignment and appropriate design. It is crucial in experimental research where causal claims are being made. Because the stem describes attributing observed changes to the manipulation of the independent variable, internal validity is the correct term.

Option A:
External validity concerns the generalisability of findings to other populations, settings or times, rather than the correctness of causal inference within the study. A study can be internally valid but externally limited, so external validity does not match the stem.

Option B:
Ecological validity focuses on how well research findings reflect real-world behaviours and contexts, often associated with naturalistic settings. While related to generalisability, it is not about directly attributing effects to independent variables in a controlled design. Thus, ecological validity is not the appropriate completion here.

Option C:
Internal validity is enhanced by using control groups, randomisation and standardised procedures to isolate the effect of the independent variable. When these strategies are successful, researchers can more confidently claim that the treatment caused the observed outcomes. This is precisely what the stem is describing.

Option D:
Face validity simply indicates whether a test or study appears, on the surface, to measure what it claims to measure, as judged by laypersons. It does not address deeper issues of causal attribution and control over confounds, so it is not the correct answer.

Statements A, C and D correctly describe digital footprints and cyber ethical behaviour, whereas statement B is false. A digital footprint consists of data traces left by online actions, and organisations may review these traces when assessing candidates. Cyber ethics requires awareness of these consequences and responsible posting. Deleting a post does not guarantee that no copies remain, because caches, screenshots or backups may persist. Thus, the combination A, C and D only is correct.

Option A:
Option A is incomplete because it groups A and C only and leaves out D. While understanding what digital footprints are and how they are used is important, ethical reflection and responsible posting described in D are also essential. Excluding D underplays the behavioural aspect of cyber ethics.

Option B:
Option B is incorrect because it includes A, B and C as correct, thereby accepting B. Statement B wrongly suggests that deletion removes all traces, ignoring the persistence of data in various systems. Including this false statement makes the combination invalid.

Option C:
Option C is incorrect because it lists C and D only and omits A. Without defining a digital footprint as data traces left online, the explanation of the concept is incomplete. A is fundamental to the topic and cannot be left out.

Option D:
Option D is correct because it brings together the three true statements A, C and D and excludes B, which gives a misleading sense of security about deletion. It integrates conceptual understanding and ethical practice, which is appropriate for ICT education.

A research paradigm encompasses ontological and epistemological assumptions about what reality is like and how knowledge about it can be obtained. It shapes preferences for certain methodologies, such as quantitative or qualitative approaches, and informs how results are interpreted. Common paradigms include positivism, interpretivism and critical theory. Therefore, the basic worldview guiding research choices is correctly called a research paradigm.

Option A:
Variables are measurable characteristics within a study but do not constitute an overarching belief system about reality and knowledge. They are components of research, not its philosophical foundation, so variable is not appropriate.

Option B:
Hypotheses are specific testable propositions derived within a paradigm but do not themselves define the broader worldview; they are subordinate to the paradigm’s assumptions. Hence, hypothesis is not the best completion.

Option C:
Option A, paradigm, reflects the idea that different researchers may interpret the same phenomenon differently depending on their underlying philosophical stance, leading to different designs and methods. This aligns with the stem’s emphasis on a basic set of beliefs guiding research.

Option D:
Statistics are tools for analysing numerical data and are used under many paradigms but do not themselves prescribe a worldview. Therefore, statistic is not the correct answer.

Many Buddhist epistemologists, notably Dignāga and Dharmakīrti, simplify pramāṇa theory to two basic sources: perception (pratyakṣa) and inference (anumāna). They argue that other alleged means, such as testimony or comparison, can be reduced to combinations or applications of these two. This two pramāṇa view contrasts with the fourfold Nyāya and the more expansive lists of some Mīmāṃsā schools.

Option A:
Option A aligns with Buddhist texts that elevate perception and inference as the only ultimate pramāṇas, treating other modes as derivative or reducible.

Option B:
Option B wrongly promotes testimony to independent status in this context; Buddhists typically interpret scripture through inference and do not add it as a separate source.

Option C:
Option C adds comparison as an independent pramāṇa, which is not accepted in standard Buddhist epistemology.

Option D:
Option D chooses testimony and presumption, neither of which form the canonical Buddhist pair of pramāṇas.

All five statements correctly describe the five members of the Nyaya syllogism (pratijñā, hetu, udāharaṇa, upanaya, nigamana). Therefore all are correct and the right option must include A–E.

Option A:
Option A is incomplete because it omits E (nigamana).

Option B:
Option B is incomplete because it omits D (upanaya).

Option C:
Option C is incomplete because it omits C (udāharaṇa).

Option D:
Option D is correct because it includes all five true statements.