This document discusses different scaling techniques used in research methodology. It defines scaling as assigning numbers or symbols to represent properties or characteristics. Scaling is important for research as it allows measuring attitudes and analyzing individual behavior. Common scaling techniques include ranking scales, rating scales, graphic rating scales, itemized rating scales, paired comparisons, and rank order methods. The document also discusses scaling construction techniques like arbitrary scales, differential scales, summated scales, and cumulative scales. It provides examples of using ranking and rating scales for preferences, performance evaluations, and assessments. The techniques have merits like standardization and insights but also limitations like inability to identify reasons for responses.