UGC NET Questions (Paper – 1)

The semantic differential scale presents a concept or object along with opposing adjective pairs placed at the ends of a continuum, and respondents indicate their position between these poles. This captures the connotative meaning of the concept on dimensions such as evaluation, potency and activity. It allows nuanced measurement of attitudes beyond simple agreement or disagreement. Because the stem mentions bipolar adjective pairs like good–bad or strong–weak, it clearly describes the semantic differential scale.

Option A:
A rating scale generally asks respondents to judge an object on a single numerical or descriptive continuum, such as from 1 to 10, but it does not necessarily employ bipolar adjective pairs. While rating scales are common, the specific format in the stem is more precisely described by the semantic differential technique.

Option B:
The semantic differential scale uses several such bipolar items and can summarise responses by averaging across them, providing profiles of how concepts are perceived. This emphasis on paired adjectives and connotative meaning fits the stem closely, confirming semantic differential scale as the correct completion.

Option C:
A nominal scale merely labels categories without order or quantitative interpretation, such as types of occupation. It does not involve rating positions between bipolar adjectives and therefore does not match the description in the question.

Option D:
A rank order scale requires respondents to arrange items in order of preference, not to locate them on continua between opposite adjectives. Hence, rank order scale is not the appropriate term here.

Statements A, B, C and E correctly represent the main features of common attitude scaling techniques. Likert scales use agreement ratings, semantic differential scales use bipolar adjectives and Thurstone scales rely on judges’ weights. These tools generate numerical scores that allow researchers to quantify attitudes for analysis, so E is also correct. Statement D is false because attitude scales are a hallmark of quantitative research and explicitly produce numeric data.

Option A:
Option A is correct because it includes all four true statements and excludes D, which mischaracterises the quantitative nature of attitude scales. It captures both the structural features of the scales and their function in converting subjective attitudes into numerical form.

Option B:
Option B is incomplete as it omits E, failing to highlight that the purpose of these scales is to create data suitable for statistical analysis. Without E, the significance of assigning numbers to attitudes remains implicit rather than explicit.

Option C:
Option C includes B, C and E but leaves out A, so it does not mention Likert scaling, which is one of the most widely used attitude measures. This omission makes the overview of attitude scales incomplete.

Option D:
Option D contains A, C and E but omits B, ignoring semantic differential scales, which are important for measuring connotative meaning. Leaving out this type of scale means the option cannot be considered a full set of correct statements.

The Thurstone scale, or equal-appearing interval scale, involves having judges rate a large pool of statements on favourableness toward an attitude object. Statements with diverse scale values are then selected, and respondents indicate which statements they agree with. Their attitude score is computed as the mean or median of the scale values of the agreed statements. Thus, the method described in the stem is correctly called the Thurstone scale.

Option A:
Guttman scaling aims at cumulative ordering of items where endorsement of a higher-level item implies endorsement of all lower-level ones, and it does not rely on expert-assigned interval values in the same way.

Option B:
The Thurstone approach seeks to create intervals that appear equal in favourableness to judges, thereby approximating an interval scale for attitude measurement. Because the stem emphasises expert-assigned values and mean scores based on endorsed items, this option fits exactly.

Option C:
Likert scales rely on respondents’ ratings across ordered categories and summing scores, without expert judgment of individual item scale values, so they do not match the description given.

Option D:
The Bogardus scale focuses on social distance across relational categories and does not employ expert valuations of statements’ favourableness.

A Likert scale asks respondents to indicate their level of agreement or disagreement with statements on a typically five- or seven-point ordered scale. It produces ordinal data that can be summarised to reflect attitudes toward the object. Because of its simplicity and reliability, it is widely used in social science questionnaires. Therefore, the attitude scale described in the stem is correctly called a Likert scale.

Option A:
The semantic differential scale uses bipolar adjective pairs, such as good–bad, to measure the connotative meaning of concepts, which is different from agreement statements. It is a separate scaling technique. So it is not the best answer here.

Option B:
A rating scale is a broad term for any item in which respondents assign a value along a continuum, but it does not specifically refer to the agree–disagree format developed by Likert. Hence, this term is too general.

Option C:
The Guttman scale, or cumulative scale, arranges items so that agreement with a stronger statement implies agreement with weaker ones. It has a different structure and scoring logic from the Likert approach. Therefore, it does not match the description in the question.

Option D:
Option D, Likert scale, uses multiple items whose scores are summed to form an attitude index. The strongly agree to strongly disagree response categories are its hallmark. This directly fits the stem, making the option correct.

The Likert scale presents a series of statements about an object, and respondents indicate their level of agreement or disagreement using ordered categories such as strongly agree, agree, undecided, disagree and strongly disagree. Numerical values are assigned to these categories, and scores are summed across items to form an overall attitude score. It is simple to construct and widely used in social science research. Hence, the attitude scale described in the stem is correctly called the Likert scale.

Option A:
Likert scaling relies on the assumption that categories reflect ordered levels of favourability, making it easy for respondents to express degrees of agreement. Summed scores provide a reasonably reliable measure of attitudes when items are well constructed. These features match the stem’s description, so this option is correct.

Option B:
Guttman scales are cumulative, meaning that agreement with a stronger item implies agreement with all weaker items, which is a different scaling logic from the summated ratings used in Likert scales.

Option C:
The Bogardus social distance scale assesses willingness to accept members of other groups in relationships of varying closeness, not general agreement–disagreement with statements.

Option D:
The semantic differential scale uses bipolar adjective pairs and positions on a continuum rather than agreement categories, so it does not fit the description given.

Statement C is the only wrong statement because survey data are not always free from response bias; they can be affected by social desirability, recall errors and misunderstanding. Statements A, B, D and E accurately describe survey research’s ability to reach large samples, use multiple modes, provide both descriptive and analytical information and study attitudes and self-reports. Therefore, C alone contradicts accepted knowledge about survey limitations.

Option A:
Option A is correct because it isolates C as the single misleading statement and affirms the truth of A, B, D and E. It recognises that response bias is a central concern in interpreting survey data, even when surveys are well designed.

Option B:
Option B is incorrect because it adds A to the list of wrong statements, even though A accurately states that surveys can reach relatively large numbers of respondents. Treating A as wrong underestimates one of the main advantages of survey methods.

Option C:
Option C is also wrong because it includes D as a wrong statement, despite D correctly noting that analytical surveys can explore associations and patterns beyond simple description. Misclassifying D fails to acknowledge analytic potential.

Option D:
Option D is incorrect because it groups B, C and E as wrong and therefore misrepresents both the available modes and the substantive focus of surveys. B and E are in fact correct descriptions of how surveys are conducted and what they can study.

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.

A ranking scale requires respondents to place items in a preferred order, such as first, second, third and so on. This produces ordinal data because the order is meaningful but the exact differences between ranks are not known. Ranking scales are useful when researchers want relative preferences among several alternatives. Because the stem emphasises arranging items in order of preference, a ranking scale is the correct answer.

Option A:
Nominal scales only classify items into categories without any inherent order, such as types of institution or subject specialisation. They do not capture preference ranking or ordering among categories. Therefore, a nominal scale does not correspond to the procedure described in the question.

Option B:
Rating scales ask respondents to indicate the degree of agreement, satisfaction or intensity on a continuum, such as from “strongly agree” to “strongly disagree.” Ratings express intensity rather than an ordered list of multiple items relative to each other. Hence, rating is not the best completion for the stem.

Option C:
A ranking scale records positions of items like most preferred to least preferred, allowing the researcher to see relative standing among options. This is different from measuring equal intervals or absolute amounts. Since the question describes ordering items by preference, ranking scale correctly captures the intended idea.

Option D:
An interval scale assumes equal distances between successive points and enables meaningful addition and subtraction, such as in temperature measurement. It is not defined by asking respondents to order a list of options. Therefore, interval is not the appropriate term here.

The Bogardus social distance scale presents a series of relational situations, such as accepting someone as a close relative, neighbour or citizen, and asks respondents to indicate the closest relation they would accept with members of particular groups. The responses indicate the level of social distance or acceptance. It is widely used to study prejudice and intergroup relations. Hence, the social distance scale described in the stem is known as the Bogardus scale.

Option A:
The Thurstone scale uses a set of statements rated by judges to assign scale values and then asks respondents to indicate agreement; it is not constructed around graded social relationships. Thus, it does not match the type of scale mentioned.

Option B:
The Likert scale measures attitudes using agreement–disagreement responses to statements and sums scores across items; it does not focus specifically on social distance in terms of relational closeness.

Option C:
The Bogardus scale uniquely captures the willingness to accept out-group members in roles of varying intimacy, from close kin to exclusion. This graded relational structure corresponds exactly to the description given, making this option correct.

Option D:
The Guttman scale is a cumulative scale where agreement with a stronger statement implies agreement with weaker ones and may be used in many contexts, but it is not specifically the classic social distance scale referenced here.

A Likert scale presents statements and asks respondents to choose among ordered response categories such as strongly agree, agree, neutral, disagree or strongly disagree. The responses are scored to reflect the direction and intensity of attitude toward the issue. It is widely used because it is simple to construct and easy for respondents to understand. Since the stem refers to indicating levels of agreement or disagreement with statements, the correct term is Likert scale.

Option A:
The Likert scale treats the ordered categories as reflecting increasing or decreasing levels of the underlying attitude and often sums scores across multiple items to obtain a composite measure. This approach matches the description in the stem, which emphasises degree of agreement with a series of statements.

Option B:
A semantic differential scale uses bipolar adjective pairs, such as good–bad or strong–weak, at the ends of a continuum and asks respondents to mark their position between them. It measures connotative meanings rather than straightforward agreement or disagreement, so it does not fit the stem.

Option C:
A Guttman scale, or cumulative scale, arranges items so that agreement with a particular statement implies agreement with all less extreme statements. It is more complex to construct than a Likert scale and is not simply about rating agreement for each independent item. Therefore, Guttman scale is not the best answer here.

Option D:
Thurstone scales involve expert judges assigning scale values to statements and then using these values to measure attitudes, which is a laborious procedure. While they also measure attitudes, they do not primarily use the familiar agree–disagree format described in the stem. Hence, Thurstone scale is not the correct completion.

The Likert scale is a widely used attitude measurement technique in which respondents indicate their degree of agreement or disagreement with statements, typically on a five- or seven-point ordered scale. Responses such as “strongly agree,” “agree,” “neutral,” “disagree” and “strongly disagree” are assigned numerical values that can be summed to yield an overall attitude score. Although the data are ordinal, researchers often treat them as approximately interval for many statistical analyses. Because the stem clearly describes an ordered agreement continuum used to measure attitudes, this is known as a Likert scale.

Option A:
Semantic differential scales present bipolar adjective pairs (such as good–bad, strong–weak) and ask respondents to indicate their position between the two on a series of semantic dimensions. While they also use ordered response categories, they focus on underlying connotative meanings rather than levels of agreement with statements. Thus, semantic differential is not the best match for the scale described in the stem.

Option B:
Guttman scales, also called cumulative scales, arrange items so that agreement with a stronger statement implies agreement with all weaker statements in the set. They require a specific hierarchical structure among items, which is not implied by the simple agreement continuum in the question. Therefore, Guttman is not the correct answer.

Option C:
Thurstone scales rely on expert judges to assign scale values to attitude statements, which are then presented to respondents who indicate which statements they agree with. The scoring procedure differs significantly from the straightforward ordered agreement options mentioned in the stem. As such, Thurstone scaling is not the appropriate label here.

Option D:
Likert scales are favoured for their simplicity in construction and administration, requiring only statements and ordered response alternatives. Because the stem focuses on measuring attitudes via agreement levels on a response continuum, the term Likert scale accurately completes the statement.

The semantic differential scale measures attitudes by presenting bipolar adjective pairs anchored at the ends of a continuum, and respondents mark their position between them. It captures the connotative meaning of concepts along dimensions like evaluation, potency and activity. This technique yields interval-like data and allows researchers to profile the image of an object or idea. Therefore, a scale using opposite adjectives is correctly called the semantic differential scale.

Option A:
Likert scales ask respondents to indicate degrees of agreement or disagreement with statements and typically use ordered categories like strongly agree to strongly disagree, not bipolar adjective pairs. Thus, they do not match the stem.

Option B:
Thurstone scales use statements previously judged for favourableness and assign scale values; respondents indicate agreement, and their attitude score is computed from these values. They are not based on simple adjective pairs along a line.

Option C:
The semantic differential approach provides visual continua between adjectives, allowing nuanced responses and analysis of multiple dimensions of meaning. Because the stem highlights pairs like “good–bad” and “strong–weak”, this option fits precisely and is correct.

Option D:
Rating-by-ranking is not a standard name for any classical scaling method and does not describe the specific bipolar adjective format of the semantic differential.

Statements A, B, C and D cover key aspects of reliability and validity, and F adds the practical step of pilot testing. A is true because internal consistency (for example, Cronbach’s alpha) assesses how well items hang together, while B is correct that content validity depends on adequate coverage of the domain. C is accurate in describing test–retest reliability, and D rightly defines construct validity. F is also true since pilot testing helps detect problematic items, whereas E is false because reliability does not guarantee validity, so validity evidence is still required.

Option A:
Option A omits statement F, overlooking the important role of pilot testing in evaluating item functioning before full-scale use. Although A, B, C and D are correct, missing F makes the combination incomplete. Therefore this option cannot be the correct answer.

Option B:
Option B is correct because it brings together A, B, C, D and F, presenting a full picture of how attitude scales should be evaluated. It appropriately excludes E, which mistakenly assumes that reliability alone is sufficient. As a result, this option contains all and only the true statements.

Option C:
Option C leaves out statement A, thus ignoring the fundamental check of internal consistency for attitude scales. Even though it includes B, C and D, missing A means not all important reliability considerations are represented. Consequently, the option is incomplete.

Option D:
Option D includes E, which wrongly suggests that valid interpretation automatically follows from high reliability. By mixing a false statement with true ones, it misleads about the relationship between reliability and validity. Hence, this combination is not acceptable.

The Guttman scale, or cumulative scale, arranges items so that they represent increasing levels of a trait or attitude. In an ideal Guttman scale, if a respondent agrees with a high-level item, they would also agree with all lower-level items, creating a predictable response pattern. Scalogram analysis assesses how well the items approximate this cumulative structure. Therefore, the technique described in the stem is correctly termed a Guttman scale.

Option A:
Likert scales do not assume cumulative properties; respondents may agree with some items and disagree with others at similar levels without violating the model. They rely on summated ratings rather than hierarchical cumulative ordering.

Option B:
Semantic differential scales use bipolar adjective continua and do not consist of statements ordered by strength of attitude in a cumulative manner.

Option C:
The Guttman approach is particularly useful when measuring acceptance of progressively more extreme positions or behaviours, as it reveals how far along a continuum respondents are willing to go. This cumulative logic matches the stem’s requirement that agreement with a strong statement implies agreement with weaker ones, making this option correct.

Option D:
Thurstone scales employ expert-rated equal-appearing interval statements but do not require cumulative patterns across items in respondent choices.