Sensitivity of Sexual Victimization Estimates to Definitional and Measurement Decisions

Area of Science:

• Survey methodology
• Measurement error in social sciences
• Quantitative research methods

Background:

• Self-report surveys are prone to measurement error due to methodological variations.
• Assessing the impact of specific measurement choices is crucial for survey validity.
• The Campus Climate Survey Validation Study (CCSVS) provides a dataset for examining these effects.

Purpose of the Study:

• To analyze how different measurement decisions influence survey estimates.
• To evaluate the trade-offs between data detail and estimate magnitude in surveys.
• To understand the impact of incident classification on survey findings.

Main Methods:

• Utilized data from the Campus Climate Survey Validation Study (CCSVS).
• Examined the effect of requesting detailed incident information (time, type) on estimates.
• Compared estimates derived from varying levels of respondent-provided data.

Main Results:

• Collecting detailed incident information led to minor decreases in estimate magnitude.
• Requiring respondents to provide or confirm additional incident-level data resulted in more complete information.
• The impact on overall estimates was minimal despite increased data detail.

Conclusions:

• Measurement decisions in surveys, such as detailed data collection, have a limited effect on overall estimates.
• Prioritizing data completeness through respondent confirmation is feasible without significantly altering survey results.
• Methodological choices in survey design require careful consideration of their impact on data quality and estimate reliability.