NISM Professor

Quantitative approach

One of three approaches to Social Impact Assessment, using surveys and statistical analysis to process large volumes of data into results stakeholders can quantify and compare.

In plain language

Investors and funders often want a number, not a story. The quantitative approach to Social Impact Assessment gives them one, by analysing data at scale.

The workbook's reasoning: the quantitative approach "helps in analysing large number of data," and stakeholders "usually are requesting qualification of results" — they want figures and statistics they can compare across projects and over time.

Its methods, per the workbook, are surveys and statistical data analysis. This is the most numbers-driven of the three SIA approaches, and it needs a skill the other two do not: real knowledge of statistical and mathematical methods.

The trade-off runs the other way from the qualitative approach. The quantitative approach can process a large number of beneficiaries quickly, but it can flatten nuance — counting how many people were reached says little about how deeply their lives actually changed.

How it works

Table 7.1 (Chapter 7, section 7.1.2) places the quantitative approach alongside the other two:

ApproachMethodsStrengthWeakness
QualitativeTheory of change, interviews, focus groups, case studiesIn-depth studyTime-consuming, needs rigorous design
QuantitativeSurveys, statistical data analysisAnalyses large amounts of data; results are numerical, matching what stakeholders often requestNeeds statistical/mathematical skill; narrow if used alone
MonetisationSROI, cost-benefit analysisExpresses benefits in money termsHard to monetise some effects

The workbook's own criticism is specific: relying on the quantitative approach alone can mean "quantification of social impact... lacks information on achievement of social mission" — a large beneficiary count is not, by itself, proof the underlying social problem was solved.

A worked example

Drawing on the workbook's own E-Diksha case study figures.

CP LLP's E-Diksha project delivers financial and digital literacy sessions to over 2.5 lakh people across 3 states, at a total investment of about Rs 3.45 crore. Its assessor takes an 8% sample of direct beneficiaries and runs statistical surveys measuring changes in financial-knowledge scores and digital-tool usage.

The resulting report can state, in numbers, that (say) 62% of surveyed beneficiaries now use a bank account regularly, up from an estimated 40% at baseline — a clean, comparable, quantitative finding.

What the pure quantitative approach cannot easily show is why the remaining 38% still avoid formal banking — understanding that would need the qualitative approach's interviews and focus groups, which the workbook treats as a complementary tool, not a competitor.

Why NISM asks about it

Chapter 7 (Social Impact Assessment Reporting), section 7.1.2 and Table 7.1, names the quantitative approach as one of three SIA approaches, with surveys and statistical data analysis as its methods. Chapter 8's E-Diksha case study (8% sample, over 2.5 lakh beneficiaries) illustrates it in practice. Expect a question matching "analyses large amounts of data" to the quantitative approach.

Common exam traps

  • Quantitative methods are surveys and statistical data analysisTheory of Change and focus groups belong to the qualitative approach.
  • The workbook's specific criticism: it "only captures the number of beneficiaries impacted," a "narrow approach to social impact."
  • Do not confuse the quantitative approach with a quantitative indicator used inside any of the three approaches.
  • Needing statistical and mathematical skill is the quantitative approach's specific weakness, distinct from the qualitative approach's time-cost weakness.

Where this is taught

Free preparation for NISM Series XXIII

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