Content analysis and Q-sort are research methods for analyzing textual data. Content analysis involves systematically coding and categorizing text to identify patterns and make inferences. It can be conceptual, focusing on word frequencies, or relational, examining concept relationships. Q-sort is used in survey development to assess item validity by having judges sort questionnaire items into constructs and measuring inter-judge agreement. Both provide quantitative analysis of textual content to gain insights from communication and measure reliability.