UGC NET Questions (Paper – 1)

Statements A, B, C and D are correct, while E and F are incorrect. Print supports self-paced learning, audio enhances listening, and video integrates sight and sound. Selecting media must consider learners’ access and needs to be equitable and effective. Ignoring alignment with learning objectives or assuming one medium suits all situations contradicts sound instructional design. Thus A, B, C and D together form the correct set of statements.

Option A:
Option A is incorrect because it omits D and therefore ignores the importance of learner access and needs. While A, B and C describe features of media, they do not address considerations for choosing between them. The missing element makes this option incomplete.

Option B:
Option B is incorrect as it treats E as correct by including it among otherwise accurate statements. E downplays alignment with objectives, which is central to effective media use. Including this false claim makes the option invalid.

Option C:
Option C is incorrect because it includes only B, C and D and leaves out A, denying the self-paced advantage of print materials. Although B, C and D are true, omitting A means the set of correct statements is incomplete. Therefore it cannot be chosen.

Option D:
Option D is correct because it groups A, B, C and D, capturing key media features and the need to consider learner context. It properly excludes E and F, which present flawed generalisations about objectives and learning styles. Hence A, B, C and D only is the correct option.

Universities with a strong emphasis on postgraduate and doctoral programmes, high publication output and major research projects are typically labelled research-intensive universities. The stem describes exactly this profile, so “research-intensive” is the correct term.

Option A:
Option A is correct because research-intensive institutions devote substantial resources to laboratories, research funding, doctoral supervision and scholarly publications, making research a central mission alongside teaching.

Option B:
Option B is incorrect as “teaching-only” institutions focus mainly on instruction and usually have limited research activity, which does not match the description in the question.

Option C:
Option C is wrong because “distance-only” speaks about the mode of delivery (distance education) rather than the research orientation of the institution.

Option D:
Option D is incorrect since “remedial” relates to support for students with learning gaps and has nothing to do with high-level research emphasis.

Effective disaster management recognises that communities are the first to face impacts and the first to respond. Local residents possess detailed knowledge of terrain, hazards and social networks that outside experts may lack. When they participate in risk assessment, planning, drills and early warning systems, measures become more realistic and widely accepted. Therefore, involving communities throughout the disaster management cycle harnesses local capacity and builds resilience, as stated in option D.

Option A:
Option A is incorrect because treating disaster management as purely technical overlooks social, cultural and behavioural factors. Excluding communities can result in plans that fail during real events.

Option B:
Option B is incorrect since viewing people only as recipients of relief denies their agency and capabilities. Such a top-down approach misses opportunities for preparedness and risk reduction driven by communities themselves.

Option C:
Option C is incorrect because hiding information increases vulnerability. Transparent risk communication allows people to take timely protective actions and reduces rumours and panic.

Option D:
Option D is correct as it emphasises participation, shared knowledge and empowerment. Community-based disaster risk management is widely promoted as a cornerstone of sustainable resilience.

The ozone layer is particularly effective at absorbing biologically harmful UV-B radiation from the sun. Without this filtering,much higher levels of UV-B would reach Earth’s surface. This would greatly increase the incidence of skin cancer,eye damage and harm to other organisms. Hence absorption of ultraviolet-B radiation is the key protective function described in the question.

Option A:
Ultraviolet-B radiation has enough energy to damage DNA and biological tissues. The ozone layer absorbs most of this band,thereby shielding living organisms. Because the question refers specifically to the protective role of the ozone layer,UV-B is the correct type of radiation.

Option B:
Infrared radiation is associated mainly with heat and plays a role in the greenhouse effect. The ozone layer is not primarily known for absorbing infrared radiation. Therefore this option does not match the protective function highlighted in the stem.

Option C:
Visible light is the portion of the spectrum that enables human vision. Most visible light passes through the atmosphere with little absorption by ozone. Since the ozone layer’s key biological protection is not related to visible light,this option is inappropriate.

Option D:
Radio waves are long wavelength electromagnetic waves used in communication. They are not strongly absorbed by the ozone layer and are not especially harmful to living tissues at natural levels. Thus they are unrelated to the protective role mentioned in the question.

Statements A, C and D correctly describe correlational research and the correlation coefficient, while B and E are false. Correlational studies examine relationships without experimental manipulation, positive correlations show variables moving in the same direction and correlation coefficients usually vary between –1 and +1. However, a high correlation does not by itself establish causation, and zero correlation may occur even when measurements are accurate, for example when there is genuinely no linear relationship.

Option A:
Option A is correct because it includes all the true statements and excludes B and E, which confuse correlation with causation and misinterpret zero correlation. It provides a clear picture of what correlational research reveals and what its limits are.

Option B:
Option B wrongly includes B, which claims that high correlation implies causation, a common but serious misunderstanding in research interpretation. Because it accepts this false statement, the whole combination is invalid.

Option C:
Option C includes both B and C, thereby mixing a correct statement about positive correlation with an incorrect causal claim. The presence of B prevents this option from being correct, even though it also contains true statements.

Option D:
Option D adds E, the assertion that zero correlation always signals measurement error, which is false. Zero correlation can reflect a true lack of linear relationship, so this option misinterprets the meaning of r = 0.

Option E combines A and D with E, again bringing in the false idea that zero correlation must be due to error. This contaminates an otherwise partially correct set and makes the option unacceptable.

Semantic barriers arise when the same words or symbols carry different meanings for sender and receiver. In classrooms,this can happen due to differences in language background,technical vocabulary or cultural references. When meanings do not match,students misunderstand instructions or concepts. Thus,the misinterpretation described in the stem is a semantic barrier.

Option A:
Physical barriers include noise,poor seating,or faulty equipment that interfere with hearing or seeing messages. They do not primarily concern meaning differences in language.

Option B:
Psychological barriers stem from emotions such as fear,anxiety or prejudice,which block willingness to communicate. While important,they are not about differences in word meanings.

Option C:
Semantic barriers can be reduced when teachers use clear language,explain technical terms and check understanding. Because the stem emphasises attaching different meanings to words or symbols,semantic is the correct term.

Option D:
Organisational barriers involve hierarchical structures,complex procedures or unclear channels in institutions. They are different from meaning-based problems within classroom talk.

Statement A correctly identifies typical performance indicators used in quality assurance for higher education institutions. Measures such as student-teacher ratio, research productivity, completion rates and employability provide quantitative evidence of institutional performance. B is false because quality indicators also cover teaching-learning processes, outcomes and governance, not just infrastructure. C is incorrect since stakeholder feedback from students, alumni and employers is a vital input in refining quality metrics. D is false because quality frameworks generally combine quantitative and qualitative indicators rather than rejecting numbers altogether. Therefore, only statement A is correct.

Option A:
Option A is correct because it recognises A as the sole accurate statement and rejects B, C and D, each of which narrows or distorts the nature of quality indicators. It reflects the balanced use of quantitative metrics such as ratios and outcomes to evaluate institutions.

Option B:
Option B is incorrect because it treats both A and B as correct. While A is accurate, B wrongly limits quality indicators to physical infrastructure, ignoring important academic and outcome-related dimensions.

Option C:
Option C is incorrect because it groups B and C, neither of which is correct. It disregards the multidimensional nature of quality indicators and the important role of stakeholder feedback.

Option D:
Option D is incorrect because it considers all four statements correct, thereby endorsing C and D, which deny stakeholder relevance and the use of quantitative measures. This contradicts widely accepted quality assurance practices.

Software as a Service provides complete software applications to users over the internet, eliminating the need for installation and maintenance on local machines. Users typically subscribe to the service and access it through browsers or thin clients. The provider manages updates, security and infrastructure, allowing users to focus on using the application. Therefore, the description in the stem corresponds to SaaS.

Option A:
Option A, Platform as a Service, offers a development and deployment environment rather than ready to use applications, so users still build their own software on top of it.

Option B:
Option B, Infrastructure as a Service, supplies virtualised hardware resources like servers and storage, leaving operating systems and applications to be managed by the customer.

Option C:
Option C, Desktop as a Service, streams a full desktop environment to clients and is conceptually different from providing specific applications as standalone services.

Option D:
Option D is correct because SaaS is defined by delivering software functionality over the web with the provider handling all backend responsibilities, exactly as stated in the question.

Statements A, B and D correctly describe the functions and benefits of a DBMS, while C is incorrect. A DBMS is designed to minimise unnecessary redundancy, provide powerful query capabilities and enforce integrity and security rules. Maximising redundancy would waste storage and lead to inconsistency, which is contrary to database design principles. Therefore, the combination A, B and D only is the correct set of statements.

Option A:
Option A is incomplete because it includes A and B but omits D. While defining and querying data are important, recognising the integrity and security roles of a DBMS is also essential for a complete understanding.

Option B:
Option B is incomplete because it lists only B and D and leaves out A. Without acknowledging that a DBMS defines and maintains databases, the foundational purpose of such systems is not fully captured.

Option C:
Option C is correct because it gathers A, B and D, the three true statements, and rejects C, which misunderstands the goal of controlling redundancy. It presents a coherent picture of how DBMS technology supports reliable data management.

Option D:
Option D is incorrect because it considers all four statements as correct and hence accepts C. Since C conflicts with the aim of reducing redundant data, any option that includes it cannot be correct.

At 3:30, the minute hand is at 30 minutes, which is 30 × 6 = 180 degrees from 12 o’clock, since each minute corresponds to 6 degrees. The hour hand moves 30 degrees per hour plus 0.5 degrees per minute. By 3:30 it has moved 3 × 30 = 90 degrees for three full hours and 0.5 × 30 = 15 degrees for the extra 30 minutes, totalling 105 degrees. The angle between the two hands is |180 − 105| = 75 degrees, so 75 degrees is the correct answer.

Option A:
Option A, 45 degrees, might be chosen by wrongly assuming that the hour hand stays fixed exactly at 3 when the minute hand is at 6, but in reality the hour hand has advanced halfway towards 4 by 3:30.

Option B:
Option B, 60 degrees, would correspond to some other specific times but does not result from the correct calculation of the hands’ positions at 3:30. It underestimates the actual separation once the hour hand’s extra movement is considered.

Option C:
Option C carefully computes both hands’ positions using their respective angular speeds and then subtracts to find the included angle. This process gives 75 degrees, matching the standard result for this clock-angle case.

Option D:
Option D, 90 degrees, assumes that the hands are perpendicular at 3:30, but they are exactly perpendicular at 3:00; by 3:30 the hour hand has moved ahead, so the angle is less than 90 degrees.

Longitudinal studies involve repeated observations of the same individuals, groups or phenomena over an extended period. This design allows researchers to analyse changes, trends and developmental patterns that cannot be seen in single time-point studies. It is especially important in education, psychology and health research for understanding growth and long-term effects. Thus, a design collecting data from the same participants at multiple times is correctly termed a longitudinal study.

Option A:
Cross-sectional studies take a snapshot at one time point and cannot track individual changes over time. They may compare different groups but do not revisit the same participants, so cross-sectional does not match the stem.

Option B:
Option B, longitudinal, highlights that the time dimension is essential and that repeated measurements of the same units are central to the design. This fits the description of studying change over time, making this option correct.

Option C:
Experimental designs focus on manipulation and control; they may be conducted in cross-sectional or longitudinal formats, but experiment is not defined solely by repeated measurement of the same participants. Hence, experimental is not the best completion.

Option D:
Causal-comparative (ex post facto) designs compare existing groups after an outcome has occurred and do not necessarily involve repeated measurements across time. Therefore, they are not the correct answer here.

Input devices are used to enter data and instructions into a computer, while output devices present processed results to users. A keyboard is a classic example of an input device because it allows users to type commands and text. A monitor displays information visually, functioning as a standard output device. Hence, this pair correctly reflects the input-output distinction.

Option A:
This option reverses the functions of the printer and scanner. A printer produces hard-copy output from digital data, so it is an output device. A scanner converts physical documents into digital form, making it an input device. Since the roles are interchanged, the option is incorrect.

Option B:
This option labels the mouse as an output device, although it is clearly an input device that sends user commands to the computer. Similarly, speakers play sound output generated by the system and are not used for input. Thus, both components are misclassified.

Option C:
This option treats the microphone as an output device and the plotter as an input device. In reality, a microphone captures audio signals from the user, so it is an input device. A plotter draws vector graphics on paper, serving as an output device. The pair is therefore incorrect.

Option D:

To convert 3F₁₆ to octal, we can first convert it to decimal. 3F₁₆ equals 3×16 + 15 = 48 + 15 = 63. Converting 63 to octal by dividing by 8 gives 7 with remainder 7, so the octal value is 77₈. Therefore, 77 is the correct octal equivalent.

Option A:
Option A, 67₈, converts to decimal 6×8 + 7 = 55, which is less than 63. It does not match the decimal value of 3F₁₆.

Option B:
Option B is correct because 3F₁₆ → 63₁₀ → 77₈. The intermediate decimal step verifies that both conversions are consistent.

Option C:
Option C, 73₈, corresponds to 7×8 + 3 = 59 in decimal, which is not equal to 63. Thus it cannot represent 3F₁₆.

Option D:
Option D, 75₈, equals 7×8 + 5 = 61, again not matching the required decimal value.

The pattern "if p, then q; not p; therefore not q" is invalid because q may still be true even if p is false. This error is known as the fallacy of denying the antecedent. It mistakenly treats the conditional as though p were a necessary condition for q, which the original statement does not assert. Therefore the fallacy described is denying the antecedent.

Option A:
Option A, affirming, corresponds to affirming the consequent, a different fallacy with the form "if p, then q; q; therefore p". It does not match the structure that begins with "not p". Hence affirming is not correct here.

Option B:
Option B is correct because the erroneous step is to deny the antecedent p and then incorrectly deny the consequent q, assuming q depends exclusively on p. This misinterpretation of the conditional leads to an invalid inference.

Option C:
Option C, strengthening, is not a standard label for any recognised formal fallacy in this context and does not capture the problem of negating p. It therefore cannot be the answer.

Option D:
Option D, converting, might suggest swapping antecedent and consequent, but the structure in the stem is not about such reversal; it is about drawing an unwarranted negative conclusion from the denial of p. Thus converting is inappropriate.

Grounded theory is a qualitative approach in which researchers collect and analyse data simultaneously, allowing concepts and categories to emerge from the data rather than imposing a preconceived theory. Through constant comparison and theoretical sampling, they refine these categories into a substantive theory that is grounded in participants’ experiences. The emphasis is on building theory inductively rather than testing an existing framework. Because the stem describes developing theory inductively from field data, it is referring to grounded theory.

Option A:
Grounded theory seeks to move beyond rich description to generate explanatory frameworks that account for patterns in the data. Researchers continually compare incidents, refine codes and write memos to articulate emerging theoretical relationships. This iterative, inductive process matches the stem’s focus on theory development from field data, making grounded theory the correct completion.

Option B:
Phenomenology aims to describe the essence of individuals’ lived experiences of a phenomenon, often bracketing the researcher’s preconceptions. While it analyses qualitative data, its goal is not primarily to build a theory but to capture experiential meanings. Therefore, phenomenology does not fit the description of inductive theory development.

Option C:
Case study research involves an in-depth investigation of a bounded system such as an individual, group or institution. It may use multiple sources of data and can be descriptive, explanatory or exploratory, but it does not necessarily aim to produce a formal theory in the specific grounded-theory sense. Hence, case study is not the best label here.

Option D:
Narrative research focuses on the stories individuals tell about their lives and experiences and analyses these narratives for structure and content. Although it may generate insights and concepts, its primary orientation is toward narrative construction rather than systematic theory building from constant comparison. Thus, narrative research is not the correct term.