CSC Data Collection & Analysis 3 — Questions and Answers
Question 1: What is the primary purpose of a materiality assessment in sustainability reporting data collection?
- To prioritize which sustainability topics to measure and disclose based on stakeholder impact (Correct answer)
- To calculate total Scope 1 GHG emissions for regulatory filing
- To determine the financial audit scope for annual reports
- To set renewable energy procurement targets
Correct answer: To prioritize which sustainability topics to measure and disclose based on stakeholder impact
Materiality assessment identifies and prioritizes sustainability issues most significant to stakeholders and the business, guiding what data to collect and disclose.
Question 2: Which formula correctly calculates a company's waste diversion rate?
- (Waste diverted from landfill ÷ Total waste generated) × 100 (Correct answer)
- (Waste sent to landfill ÷ Total waste generated) × 100
- (Recycled waste ÷ Composted waste) × 100
- (Total waste generated − Hazardous waste) × 100
Correct answer: (Waste diverted from landfill ÷ Total waste generated) × 100
Waste diversion rate measures the percentage of total waste kept out of landfill through recycling, composting, or other diversion methods.
Question 3: A sustainability report uses a 2015 base year for GHG intensity. The company made a significant acquisition in 2020. What must the consultant do?
- Recalculate the base year to account for the acquisition using the GHG Protocol significance threshold test (Correct answer)
- Ignore the acquisition since base year was set before it occurred
- Use 2020 as the new base year automatically
- Report acquisition emissions in a separate supplemental table only
Correct answer: Recalculate the base year to account for the acquisition using the GHG Protocol significance threshold test
The GHG Protocol requires base year recalculation when structural changes like acquisitions are significant enough to materially affect comparability.
Question 4: When conducting a life cycle assessment (LCA), which data quality indicator is used to assess how geographically representative the data is?
- Geographic correlation (Correct answer)
- Temporal correlation
- Technological correlation
- Completeness
Correct answer: Geographic correlation
Geographic correlation in LCA data quality assessment measures how well the data source matches the geographic region of the study system.
Question 5: A client collects employee commute data via an annual survey. Which approach most reduces self-reporting bias?
- Cross-validate survey responses with transit pass purchase records and parking permit data (Correct answer)
- Increase survey frequency to monthly
- Ask only managers to report on behalf of their teams
- Limit the survey to full-time employees only
Correct answer: Cross-validate survey responses with transit pass purchase records and parking permit data
Cross-validating self-reported commute data against objective records like transit passes and parking permits reduces social desirability and recall bias.
Question 6: Which GRI standard specifically governs disclosure of an organization's approach to data collection and reporting for environmental topics?
- GRI 3: Material Topics 2021 for materiality and GRI 300 series for environmental disclosures (Correct answer)
- GRI 101: Foundation only
- GRI 201: Economic Performance only
- GRI 400 series exclusively
Correct answer: GRI 3: Material Topics 2021 for materiality and GRI 300 series for environmental disclosures
GRI 3 guides material topic identification and management approach, while the GRI 300 series (301-308) covers specific environmental data disclosures.
Question 7: A consultant is analyzing a five-year trend in a company's energy intensity. The data shows a downward trend but R² = 0.21. What does this indicate?
- The linear trend explains only 21% of the variance, so the relationship is weak and other factors dominate (Correct answer)
- Energy intensity has improved by 21% over five years
- The data set has 21% missing values requiring imputation
- The trend is statistically significant at the 21% confidence level
Correct answer: The linear trend explains only 21% of the variance, so the relationship is weak and other factors dominate
R² (coefficient of determination) measures how much variance the model explains; R² = 0.21 means the trend line explains only 21% of the variation, indicating a weak fit.
CSC Data Collection & Analysis 3
What is the primary purpose of a materiality assessment in sustainability reporting data collection?