This document discusses different types of triangulation that can be used in research to increase validity. It describes data triangulation as using multiple data sources like increasing data collection sites, participants, and quotations. Investigator triangulation involves using multiple researchers to analyze data. Theory triangulation examines the same problem through different theoretical lenses. Methodological triangulation uses different data collection methods like interviews and observations. Environmental triangulation varies environmental factors like location or time of day to see if findings remain the same. The document asserts that triangulation provides a more valid and multi-dimensional understanding of research issues.