UGC NET Questions (Paper – 1)

Grounded theory is an inductive qualitative approach in which theories are generated from data rather than tested as in traditional hypothesis-driven research. A core procedure is constant comparative analysis, where incidents are compared within and across categories to refine concepts and relationships. Through iterative coding, memoing and sampling, the researcher develops a substantive theory grounded in participants’ experiences. Thus, the approach described in the stem is correctly called grounded theory.

Option A:
Narrative theory focuses on the structure and meaning of stories people tell, analysing plots, characters and temporal sequences. Although it may involve some comparison of narratives, constant comparison for systematic category development is not its defining feature. Therefore, narrative theory is not the best completion.

Option B:
Phenomenological theory or phenomenological research aims to understand the essence of lived experience from the participants’ point of view. It uses deep reflection and description rather than constant comparative coding to build formal categories and properties. Hence, phenomenological theory does not match the method in the stem.

Option C:
Grounded theory researchers move back and forth between data collection and analysis, letting emerging categories guide further sampling until theoretical saturation is reached. This heavy reliance on constant comparison aligns exactly with the description given in the question.

Option D:
Ethnographic theory or ethnography is concerned with understanding cultural patterns and social practices through prolonged fieldwork and participant observation. While coding is used, the central emphasis is on holistic cultural description rather than theory generation via constant comparison of incidents. Thus, ethnographic theory is not the correct answer.

After a researcher has identified and selected a research problem, the next logical step is to examine what has already been studied about that topic. Reviewing related literature helps in understanding existing theories, methods and findings relevant to the problem. It also assists in identifying gaps, refining the problem and avoiding unnecessary duplication. Therefore, in the usual research sequence, reviewing related literature follows the selection of the research problem.

Option A:
Defining the population is important for planning sampling, but it occurs after the researcher has clarified the problem and understood the context through the literature. Without a clear grasp of previous work, decisions about the population may be poorly informed. Hence, defining the population is not the immediate next step after selecting the problem.

Option B:
Constructing the tool for data collection requires clarity about what variables need to be measured and how they have been operationalised in previous studies. This information usually emerges from the review of literature. Designing instruments too early, before reviewing existing work, can lead to inappropriate or incomplete measures, so it is not the next step in the general sequence.

Option C:
Collecting the data is a field activity that should begin only after the problem has been refined, literature has been reviewed, hypotheses or questions have been formulated and tools and sampling plans have been prepared. Starting data collection immediately after selecting a problem would be premature and unstructured. Thus, data collection does not follow directly after problem selection in the standard sequence.

Option D:
Reviewing related literature allows the researcher to position the new study within the existing body of knowledge and to justify its significance. It influences all subsequent steps, including hypothesis formulation, tool construction and design selection. For this reason, review of related literature is correctly placed as the next major step after selecting the problem.

A semi-structured interview uses an interview guide with pre-determined questions or topics, but it also allows the interviewer flexibility to probe, ask follow-up questions and change the order based on the flow of conversation. This balance ensures coverage of key areas while giving participants room to express their views in depth. It is particularly useful in qualitative research where both consistency and openness are valued. Because the stem describes pre-planned questions with freedom for follow-up, it refers to a semi-structured interview.

Option A:
Structured interviews rely on a fixed set of questions asked in the same order and wording to all respondents, leaving little scope for deviation or probing beyond predefined prompts. While this increases standardisation, it does not provide the degree of flexibility mentioned in the question. Therefore, structured is not the correct answer.

Option B:
Unstructured interviews are highly flexible, often resembling guided conversations with few or no pre-planned questions. The interviewer explores topics as they emerge, which is more open-ended than what the stem describes. Since the question emphasises pre-planned questions combined with some freedom, semi-structured, not unstructured, is appropriate.

Option C:
Semi-structured interviews allow the researcher to adapt to participants’ responses, clarifying ambiguities and exploring interesting themes while still covering all key topics. This makes them well suited to research that seeks both comparability and depth. These characteristics align closely with the stem’s description, confirming semi-structured as the correct completion.

Option D:
Clinical interviews typically refer to in-depth, often therapeutic interviews used in clinical psychology or psychiatry, where the focus is on diagnosis or treatment. Although they may be flexible, the term does not specifically denote the combination of pre-planned questions with systematic follow-ups described in the stem. Hence, clinical is not the best option here.

Content validity focuses on whether the items in a test represent the full range of important content areas and cognitive processes defined in the test blueprint. Experts review items to judge coverage and relevance. High content validity is especially crucial for achievement tests used for grading and selection. Therefore, the adequacy of domain sampling described in the stem is called content validity.

Option A:
Content validity is often enhanced by preparing a table of specifications that links objectives, topics and item types. When each important area is proportionately represented, the test better reflects the intended curriculum. This direct link to content coverage makes this option correct.

Option B:
Construct validity deals with the alignment of test scores with theoretical constructs and broader patterns of relationships, not simply the coverage of content topics.

Option C:
Face validity refers to the superficial appearance that a test measures what it claims to measure from the perspective of test-takers or laypersons; it is not a technical estimate of domain coverage.

Option D:
Predictive validity concerns how well test scores forecast future performance, such as success in a programme, and is unrelated to sampling of content topics.

Statements A, B, C, D and F correctly portray validity, whereas E is false. Statement A is true because content validity concerns coverage of the relevant domain. Statement B is correct about measuring theoretical constructs, and statement C rightly deals with test-criterion relationships. Statement D correctly explains face validity as apparent appropriateness, and statement F is true since modern views treat validity as a single construct supported by multiple forms of evidence, while E is false because no test is entirely free from error even if it has good validity.

Option A:
Option A includes A, B and C but omits D and F, leaving out important aspects of validity. Face validity and the unitary concept of validity are significant in understanding how tests are judged. Consequently this option is incomplete and cannot be accepted.

Option B:
Option B adds D and F but omits B, missing the crucial idea of construct validity. Without acknowledging how constructs are measured, the description of validity remains partial. As such, this option does not list all the true statements from the set.

Option C:
Option C correctly groups A, B, C, D and F and excludes only E, which is clearly false. It presents the main recognised forms and integrative nature of validity. Because it incorporates all and only the true statements, this combination is the correct answer.

Option D:
Option D includes E, which wrongly claims that validity removes all error, and leaves out A. Including a false statement and omitting a true one makes this combination logically inconsistent.

Reliability refers to the consistency or stability of results over repeated measurements or replications. When a study or measurement procedure produces similar outcomes under similar conditions, researchers can trust that findings are not simply due to random fluctuations. Replication with comparable results is strong evidence of reliability. Because the stem describes repeating a study with similar findings, reliability is the correct completion.

Option A:
Validity concerns whether a study or instrument actually measures what it intends to measure or correctly captures the phenomenon of interest. A measure can be reliable yet invalid if it is consistently wrong. Since the question focuses on consistent results across replications, validity is not the right answer.

Option B:
Generalisability, often linked to external validity, deals with the extent to which findings from a study can be extended to other populations, settings or times. While related to reliability, it is about applicability rather than consistency across repeated procedures. Therefore, generalisability does not match the stem.

Option C:
Reliability indicates that fluctuations in scores or findings are due more to real differences in phenomena than to measurement error or random noise. When different samples or occasions under the same design produce similar results, confidence in reliability increases. This is exactly what the stem describes, confirming reliability as the appropriate term.

Option D:
Feasibility refers to the practicality of carrying out a study in terms of resources, time and access, not to consistency of outcomes. A feasible study may still produce highly variable and unreliable results if methods are poor. Thus, feasibility is not the correct completion for the statement.

Statements A, B, C and E describe important criteria for evaluating the quality of a research report, whereas statement D is incorrect. Statement A is true because a strong report must clearly state the research problem and objectives. Statement B is correct since the methodology section should give enough detail to allow other researchers to replicate the study, and statement C properly notes that discussion and conclusions should logically follow from the findings and relate to existing literature. Statement E is also true because acknowledging and discussing limitations is a mark of honesty and critical reflection, while statement D is false because quality depends on overall coherence, clarity, relevance and methodological soundness, not only on the complexity of statistical analysis.

Option A:
Option A includes A, B and C but omits E. While A, B and C are correct criteria, leaving out E ignores the importance of explicitly discussing limitations, which is also a key aspect of evaluating a report. Because it fails to include all the true statements, this option is incomplete and cannot be the correct answer.

Option B:
Option B lists B, C and E and therefore neglects A. Although B, C and E are correct, excluding A means the crucial requirement of a clear statement of the problem and objectives is missing. A complete set of correct statements must also contain A, so this option is not fully satisfactory.

Option C:
Option C groups A, B and E but leaves out C. While A, B and E are true, omitting C ignores the need for a logical link between findings, discussion and existing literature. Since that link is essential in evaluating a research report, this combination does not cover all correct statements.

Option D:
Option D correctly combines A, B, C and E and excludes D, which is false. It recognises that clarity of problem, replicable methodology, logically grounded discussion and honest acknowledgement of limitations are all vital for judging report quality. Because it includes all and only the true statements given, this option is the correct answer.

Statements A, B, C and E align with standard guidelines on authorship and publication ethics. Authorship should be based on substantial intellectual contributions, gift authorship describes inappropriate inclusion without contribution, and the corresponding author manages communication with the journal. All authors share responsibility for the accuracy and integrity of the work. Statement D is false because authorship order is often expected to reflect contribution, conventions or agreements rather than arbitrary listing.

Option A:
Option A includes only A, B and C and omits E, thereby failing to mention the shared responsibility of all authors for the published work. This shared accountability is a key ethical principle, so the omission makes the option incomplete.

Option B:
Option B includes B, C and E but leaves out A, ignoring the basic rule that authorship must be tied to substantial contributions. Without A, the foundation for ethical authorship decisions is missing.

Option C:
Option C is correct because it gathers all four true statements and excludes D, which misrepresents authorship ordering practices. It reflects both who should be named as author and how shared responsibility and communication roles are understood in scholarly publishing.

Option D:
Option D contains A, C and E but omits B, so it does not explain what gift authorship is, even though it is a major ethical issue. This omission prevents the option from presenting a complete set of correct statements.

Random sampling gives each unit in the population a known, often equal, chance of being selected, which makes the selection process impartial. This greatly reduces systematic bias in the composition of the sample because personal judgment and convenience are minimised. While it does not completely eliminate all error, it helps ensure that differences between the sample and population are mainly due to chance. Therefore, the correct effect on selection bias is that random sampling tends to reduce it.

Option A:
If random sampling were to increase bias, it would defeat its main purpose in scientific research. The entire rationale for using random methods is to minimise systematic distortions in the sample. Thus, the option suggesting an increase in bias is conceptually incorrect.

Option B:
Random sampling reduces the likelihood that any particular type of individual is overrepresented or underrepresented for systematic reasons. It supports the use of probability theory to estimate sampling error and build confidence intervals. These features correspond directly to the idea of reducing selection bias as stated in the question.

Option C:
Creating bias would mean deliberately skewing the sample in favour of certain subgroups, which is characteristic of convenience or judgement sampling, not random sampling. Therefore, the suggestion that random procedures create bias is misleading.

Option D:
Ignoring bias does nothing to protect the quality of inferences and would be a sign of poor methodological practice. Random sampling is chosen precisely because it addresses concerns about bias rather than ignoring them, so this option does not fit the role described in the stem.

The semantic differential scale presents a concept, such as “online learning,” followed by pairs of opposite adjectives separated by a series of points, for example good–bad or useful–useless. Respondents mark positions between each pair, indicating their feelings about the concept. This method captures the connotative meaning that people associate with the object. Therefore, the bipolar adjective rating described in the stem is known as the semantic differential scale.

Option A:
The Thurstone scale uses statements with predetermined scale values and requires experts to judge favourability; respondents then indicate which statements they agree with. It does not use simple bipolar adjective pairs. Hence, it is not the right completion.

Option B:
The Likert scale uses agree–disagree statements rather than adjective pairs and sums responses across items to form an attitude score. It is different in structure and purpose from the semantic differential. So this option is not correct here.

Option C:
Option C, semantic differential scale, focuses on the psychological meaning of concepts through several adjective continua. Its visual layout and bipolar nature match the description in the question, making this option correct.

Option D:
The Bogardus scale measures social distance by asking whether respondents would accept members of other groups in increasingly close relationships. It does not use adjective pairs, so it is not the scale referred to in the stem.

Phenomenological research aims to describe and interpret how individuals experience a phenomenon in their everyday lives. It focuses on the meanings that participants attach to their experiences and tries to reveal the essence that is common across cases. Data are typically collected through in-depth, open-ended interviews. Therefore, the approach described in the stem is accurately termed phenomenological research.

Option A:
A case study examines a particular case in depth, considering many contextual factors, but it is not necessarily focused on extracting the essence of lived experience across several individuals. Its emphasis is more on the bounded case than on phenomenological essence. So it is not the best answer.

Option B:
Narrative research explores people’s stories and how they construct meaning over time, often focusing on chronology and plot. While it deals with experience, it emphasises narrative structure rather than the phenomenological essence. Thus, it does not match the stem exactly.

Option C:
Option C, phenomenological research, uses bracketing and reflective analysis to uncover the core themes that define a shared experience. It seeks rich descriptions of consciousness and perception. This fits the question’s focus on the essence of lived experiences, making it correct.

Option D:
Ethnographic research studies cultural groups and shared practices over time through immersion and observation. It looks at collective culture rather than individual lived experience of a specific phenomenon, so it is not the correct term here.

Statements A, C and E present core characteristics of research as systematic, data based and knowledge oriented. Statement A is true because research must follow an organised and objective procedure to investigate a problem. Statement C is true as every research study involves collecting data, analysing it and interpreting the findings. Statement E is also true because the purpose of research is to generate or refine knowledge through logical reasoning, whereas statement B wrongly restricts research to commercial gains and statement D wrongly limits it to laboratory situations.

Option A:
Option A selects statements A, C and E, all of which correctly capture research as systematic, empirical and knowledge producing. It excludes statement B, which overemphasises immediate commercial benefit, and statement D, which wrongly confines research to laboratories. Therefore this combination includes all the true statements and leaves out both incorrect ones.

Option B:
Option B omits statement E, so it fails to reflect the knowledge-generating function of research. Although A and C are true, leaving out E makes the description incomplete. Hence this option is only partially correct and cannot be the right answer.

Option C:
Option C wrongly includes statement B along with C and E. Because statement B is false, any combination that contains it becomes incorrect. As a result, even though C and E are true, the presence of B makes this option invalid.

Option D:
Option D includes statements A, B, C and E and therefore incorporates statement B, which is incorrect. Since a correct combination must exclude false statements, this option cannot be accepted. The inclusion of both correct and incorrect statements makes the overall combination wrong.

Control variables are factors that the researcher deliberately holds constant or accounts for so that they do not confound the relationship between the independent and dependent variables. By stabilising these variables, the researcher reduces alternative explanations for observed effects. This enhances the internal validity of the experiment. Because the stem refers to variables kept constant to prevent them from influencing outcomes, it is describing control variables.

Option A:
Independent variables are intentionally manipulated to assess their impact on outcomes, not held steady. Their variation is central to testing hypotheses about cause and effect. Thus, independent variables are the opposite of what the stem indicates and cannot be the correct answer.

Option B:
Dependent variables are the outcomes measured to see whether they change as a result of the independent variable. They are expected to vary and are not kept constant. Since the question is about variables that are purposely held constant, dependent is not appropriate.

Option C:
A moderator variable influences the strength or direction of the relationship between independent and dependent variables, helping to specify “when” or “for whom” an effect is observed. Although researchers may sometimes create conditions based on moderators, the classic notion of control variables is more directly about holding factors constant. Therefore, moderator does not fit the stem’s description.

Option D:
Control variables are chosen and managed to remove their potential influence, such as keeping room temperature constant in a cognitive experiment. This deliberate stabilisation ensures that observed differences in the dependent variable are more likely due to the independent variable. These functions match the description in the stem, so control is the correct completion.

A cross-sectional study gathers data from a sample or several groups at one specific time, providing a snapshot of the population’s characteristics or relationships. It is widely used in survey research to estimate prevalence and compare subgroups. Because it does not follow participants over time, it is efficient and relatively economical. Therefore, a design where data are collected at a single point in time from different groups is properly termed a cross-sectional study.

Option A:
A longitudinal study follows the same group of participants over an extended period, allowing the researcher to examine changes and trends. It does not restrict data collection to a single time point, so it does not match the snapshot nature described in the stem. Hence, longitudinal study is not the correct answer.

Option B:
Cross-sectional studies can compare different age groups, institutions or demographic segments simultaneously, approximating developmental or group differences without waiting for time to pass. They are particularly useful for estimating current status indicators such as literacy rates or attitudes. These features align exactly with the description in the question.

Option C:
An experimental study manipulates an independent variable and typically involves at least two conditions or groups to test causality, often with pre- and post-measures. While it may sometimes use a single time of measurement, its defining feature is manipulation, not the single time-point snapshot. Therefore, experimental study is not the best completion.

Option D:
A case study is an in-depth investigation of a single case or a small number of cases using multiple data sources, often over a period of time. It does not necessarily involve drawing inferences about a larger population from a single time-point survey, so case study does not fit the stem.

Statement C is wrong because fabricating or altering data is a serious ethical violation, regardless of the supposed clarity it might bring to conclusions. Statements A, B, D and E are correct: data should be stored securely, retained for reasonable periods, restricted to authorised users and anonymised when appropriate to protect participants. Therefore, C alone is the incorrect statement.

Option A:
Option A is incorrect because it treats C and D as wrong, even though D correctly states that access to identifiable data should be restricted to authorised persons. Including D among wrong statements misrepresents a key confidentiality safeguard.

Option B:
Option B is correct since it singles out C as the only unethical statement and implicitly affirms the ethical principles expressed in A, B, D and E. It highlights that integrity and confidentiality are central to responsible data management.

Option C:
Option C is wrong because it pairs A, which correctly emphasises secure storage, with C, implying both are wrong. This not only fails to isolate the unethical behaviour but also discourages proper data security.

Option D:
Option D is also incorrect because it misclassifies B and D alongside C as wrong, even though B and D describe good practice in data retention and access control. This combination confuses ethical and unethical actions.