UGC NET Questions (Paper – 1)

Ex post facto research, also known as causal-comparative research, attempts to identify possible cause–effect relationships by observing existing differences after the effect has occurred. The researcher selects groups that differ on some outcome and then looks backward to see what factors might be associated with those differences. Because the independent variable is not manipulated and events have already taken place, this design is non-experimental. The stem describes exactly this situation, so it is correctly named ex post facto research.

Option A:
Experimental research involves deliberate manipulation of one or more independent variables and control of extraneous variables to observe their effect on a dependent variable. It requires careful planning of treatments and conditions before measuring outcomes, not investigation after the fact. Since the stem emphasises that the effect has already occurred and there is no manipulation, experimental research is not the correct option.

Option B:
Survey research typically aims to describe attitudes, opinions or characteristics of a population by collecting data from a sample at one point in time. While surveys can investigate relationships among variables, they do not inherently focus on post-hoc causal comparisons based on pre-existing groups. Thus, the survey label does not capture the causal-comparative nature emphasised in the question.

Option C:
Ethnographic research is a qualitative approach that involves immersion in a cultural or social setting to understand participants’ behaviours and meanings from the inside. It is more concerned with rich description and interpretation than with testing causal hypotheses based on existing differences. Consequently, ethnographic research does not fit the stem.

Option D:
Ex post facto research acknowledges that some variables, such as gender or socio-economic background, cannot be manipulated for ethical or practical reasons. Researchers therefore study them after the outcomes have occurred, using careful group selection and statistical controls. This approach is exactly what the stem describes, making ex post facto the correct answer.

Ex post facto research, literally meaning “after the fact”, investigates possible cause–effect relationships by observing existing differences and looking backward to identify potential causes. The researcher does not manipulate independent variables but selects groups that differ on some outcome. Because the events have already occurred, control over extraneous variables is limited and causal claims are cautious. Thus, the design described in the stem is correctly called ex post facto research.

Option A:
Ex post facto studies typically compare groups such as high and low achievers and then examine prior factors like teaching methods or socio-economic status that may be linked to these outcomes. The key feature is that the presumed causes are not controlled or introduced by the researcher. This fits the “after events have already occurred” emphasis in the stem, making this option correct.

Option B:
Experimental research deliberately manipulates an independent variable and randomly assigns participants to conditions, which is not possible once events have already taken place. It therefore does not match the non-manipulative, retrospective nature described.

Option C:
Longitudinal research follows the same participants over time to observe change, but it may or may not be concerned with inferring causes after the fact in the specific ex post facto sense. Hence, it is not the best completion here.

Option D:
Historical research uses documents and records to study past events in broader contexts, rather than comparing existing groups to infer immediate causal factors in the way ex post facto designs do. Therefore, it does not precisely fit the stem.

Ex post facto research, also called causal-comparative research, looks for possible cause–effect relationships by studying groups that differ on some outcome that has already occurred. The researcher does not manipulate the independent variable but observes existing differences and attempts to infer causes. This design is useful when experimental manipulation is unethical or impractical. Therefore, investigating causes after the effect has occurred is characteristic of ex post facto research.

Option A:
Option A correctly names ex post facto research, where “after the fact” indicates that the outcome is already present. Groups are compared on presumed causal factors that have not been controlled by the researcher. Because there is no manipulation and the effect comes first, this option fits the stem and is correct.

Option B:
Experimental research actively manipulates one or more independent variables and controls extraneous factors to test causal hypotheses. It does not wait for effects to occur naturally and then look backward. Thus, experimental research does not match the design described.

Option C:
Correlational research examines statistical relationships between variables without attempting to infer causality in a strong sense. It may be cross-sectional and does not necessarily start from an existing group difference on an outcome. So it is not the best label here.

Option D:
Longitudinal research follows the same participants over time to study change; it may be experimental or non-experimental. It is defined by the time dimension rather than by investigating causes after effects, so it is not the correct answer.

Ex post facto research examines relationships between variables after the events or treatments have already occurred, without the researcher manipulating the independent variable. Groups are formed on the basis of existing characteristics, such as gender or prior experience, and the researcher attempts to infer possible causes of observed differences. Because manipulation and random assignment are not possible, it is classified as a non-experimental design. The stem clearly points to this situation, so ex post facto research is the correct answer.

Option A:
Experimental research actively manipulates one or more independent variables and randomly assigns participants to groups, allowing strong causal inferences. In ex post facto studies, such manipulation is not feasible, so experimental is not an accurate term for the design described.

Option B:
Ex post facto studies try to approximate causal explanations by comparing groups that differ on the independent variable that has already occurred, controlling for some extraneous factors statistically if possible. This aligns with the stem’s key feature: the independent variable cannot be manipulated by the researcher.

Option C:
Action research is a practitioner-led cyclic approach (plan–act–observe–reflect) aimed at improving local practice. It involves intentional interventions by the practitioner, unlike ex post facto designs where the “cause” has already occurred and is not manipulated.

Option D:
Longitudinal research studies the same individuals over time to observe change. While it may involve repeated measures, it is defined by time-based follow-up, not specifically by the “already occurred and cannot be manipulated” feature that defines ex post facto research.

Statement B is the only wrong statement because ex post facto research does not randomly assign participants to treatment and control groups; it studies groups that already differ on the variable of interest. Statements A, C, D and E correctly distinguish experimental designs from ex post facto designs. Experimental work manipulates the independent variable and controls extraneous factors, whereas ex post facto designs rely on existing differences and require cautious causal interpretation. The phrase “after the fact” correctly captures that the critical events have already occurred in ex post facto research.

Option A:
Option A is correct because it identifies B alone as the wrong statement and leaves A, C, D and E as correct descriptions. It acknowledges that random assignment is a feature of true experiments, not ex post facto designs, and correctly treats all other statements as conceptually sound.

Option B:
Option B is incorrect because it treats A as if it were also wrong, even though A correctly characterises experimental research as involving manipulation and control. By misclassifying a true statement as wrong, this option fails to isolate the actual source of error.

Option C:
Option C wrongly groups D with B, even though D correctly notes that causal claims from ex post facto studies must be cautious. While B is indeed false, D is a prudent caution and should not be listed as wrong, so this option presents an inaccurate combination.

Option D:
Option D adds E to B as if both were wrong, but E accurately explains the meaning of “after the fact” in ex post facto research. Because it treats a true explanatory statement as incorrect, this option cannot be accepted.

Option E is also incorrect because it includes A and C, both of which are true, among the wrong statements. This shows confusion between features of experiments and ex post facto designs and leads to an invalid set of “wrong” statements.