- 01 Enumerator Fixed Effects Checker Detects whether individual enumerators are systematically producing different responses from their peers on the same questions
- 02 Digit Preference / Heaping Detector Detects rounding and digit preference in continuous variables by checking for excess mass at round numbers
- 03 ICC Estimator Measures how much of the variation in an outcome is explained by cluster membership — critical for power calculations in clustered designs
- 04 Survey Duration Outlier Detector Identifies implausibly short or long survey sessions that signal rushed enumeration, fabrication, or comprehension problems
- 05 Item Non-Response Visualizer Maps missing data patterns across survey items and respondents to identify systematic gaps before analysis
- 06 Attrition Diagnostics Tests whether sample dropout between survey waves is random or differential across treatment and control groups
- 07 Multiple Hypothesis Testing Correction Controls the false discovery rate when testing many outcomes simultaneously, preventing spurious findings from appearing statistically significant
- 08 Back-Check / Audit Comparator Compares original interview responses to independent re-interviews to detect enumerator error, fabrication, and measurement instability
- 09 Straightlining / Satisficing Detector Identifies respondents who gave identical or near-identical answers across a battery of Likert-scale items without genuine engagement
- 10 Enumerator Fraud Detection Combines multiple statistical signals to identify surveys that were likely fabricated or conducted without genuine respondent engagement
- 11 Logical Consistency Checker Flags responses that violate known logical or mathematical constraints between survey items
- 12 Test-Retest Reliability Quantifies how consistently a measure produces the same result when administered twice under the same conditions
- 13 Inter-Rater Reliability Measures the degree of agreement between two or more independent raters coding the same observations or responses