Data analysis tools for quantitative studies are addressed in the areas of: (a) enhancements for data acquisition, (b) simple to sophisticated analysis techniques, and (c) extended exploration of relationships in data, often with visualization of results. Examples that are interwoven with data and findings from published research studies are used to illustrate the use of the tools in the service of established research goals and objectives. The authors contend that capabilities have greatly expanded in all three areas over the past 30 years, and especially during the past two decades.