Quantitative vs Qualitative Research (UGC-NET Unit VI)

The quantitative and qualitative split rests on two older positions about how society can be known. Positivism, associated with Auguste Comte and applied to a criminological topic by Emile Durkheim's study of suicide, treats society as knowable through observation, measurement and general laws, the way physics studies matter.

Interpretivism, associated with Max Weber's idea of Verstehen, treats human action as meaningful in a way a falling object is not, so two statistically identical acts, theft for survival and theft for thrill, can carry entirely different social meanings that a count alone cannot show.

Criminology inherited both traditions early, one counting crime from the outside, the other describing it from the inside. For MCQ purposes, remember that neither paradigm has won the argument because they answer different kinds of questions. A distractor sometimes implies interpretivism is simply less rigorous quantitative work; the correct framing is that it is judged against its own separate standards, covered later in this note.

Quantitative criminology draws on three main sources. Official statistics are crime counts recorded by police and courts; they are cheap and jurisdiction-wide but only capture crime that is reported and recorded, missing the dark figure of crime.

The victimisation survey asks a representative sample directly whether they experienced crime, revealing unreported offences but depending on memory and willingness to disclose. The experiment, including randomised controlled trials, gives the strongest basis for causal claims because random assignment rules out alternative explanations, though true experiments are hard to run in criminal justice, so quasi-experimental designs are common instead.

Across all three sources, a concept must be operationalised before it is counted, for example deciding whether gang membership means self-report, police record, or both. That decision shapes every number the study produces, which is why a careful reader checks a quantitative study's operational definitions before comparing its figures against another study.

Qualitative criminology gathers depth from a small number of people or one setting studied closely. The semi-structured interview uses a loose guide of open questions rather than a fixed questionnaire, letting an offender, victim or practitioner explain their own reasoning.

Ethnography and participant observation go further, placing the researcher inside a setting for an extended period, producing the kind of contextual record Clifford Geertz called thick description. The case study method examines one bounded instance, a single prison or a single gang, often triangulating interviews, documents and observation within that one case; grounded theory builds explanatory concepts directly out of the data through cycles of coding and comparison rather than testing a theory decided in advance.

These methods share a known limitation: findings from one setting cannot be assumed to hold elsewhere without further work, and the researcher's own presence can change what a setting looks like. Qualitative researchers accept this trade-off deliberately, since the depth it buys cannot come from an instrument built for scale.

Quantitative research is judged chiefly on validity (does the measure capture what it claims to) and reliability (does it produce consistent results). Internal validity asks whether a design rules out alternative explanations; external validity asks whether a finding generalises beyond the sample studied. Reliability is separate from validity and includes test-retest reliability, inter-rater reliability, and internal consistency.

Applying those same standards directly to interview or ethnographic work does not fit, since qualitative research does not claim to measure a fixed variable the same way twice.

Yvonna Lincoln and Egon Guba proposed a parallel set of standards instead: credibility (the counterpart to internal validity, built through triangulation and member checking), transferability (the counterpart to external validity, supported by thick description rather than statistical generalisability), plus dependability and confirmability. For MCQ purposes, pair validity with reliability on the quantitative side and credibility with transferability on the qualitative side; distractors often try to swap these pairs across traditions.