This paper aims to describe the use of triangulation of search methods in studies of organizations emphasizing the importance to integrate all research variables analyzed. Triangulation is a methodological approach to data analysis that combines the use of qualitative and quantitative methods. The main justification for the use of triangulation of methods is the search for greater confidence in the data analysis and validation of research results. Most research reports that use triangulation, indicates a combination of methods of case study and survey.

The case study method can add a richer context and holistic analysis of the results of the survey, helping to explain apparent anomalies emerging. While the survey method can improve the understanding of the incidence of a particular phenomenon or conceptual relationship between theory and practice reported in case studies. Triangulation is based on three pillars of data analysis: (1) a review of research concepts to guide the setting of variables analysed, (2) a qualitative and exploratory study to define guiding questions research and empirical studies in organizations, and (3) a quantitative and descriptive study  to confirming the information from the qualitative This paper aims to describe the use of triangulation methods in studies of organizations emphasizing the importance to integrate all research variables analyzed. Triangulation is a methodological approach to data analysis that combines the use of qualitative and quantitative methods. The main justification for the use of triangulation of methods is the search for greater confidence in the data analysis and validation of research results. Most research reports that use triangulation, indicates a combination of methods of case study and survey.

The case study method can add a richer context and holistic analysis of the results of the survey, helping to explain apparent anomalies emerging. While the survey method can improve the understanding of the incidence of a particular phenomenon or conceptual relationship between theory and practice reported in case studies. Triangulation is based on three pillars of data analysis: (1) a review of research concepts to guide the setting of variables analysed, (2) a qualitative and exploratory study to define guiding questions research and empirical studies in organizations, and (3) a quantitative and descriptive study to confirm the information from the qualitative search by conducting surveys. For the surveys are used in statistical analyzes. As a contribution, we present the experience of using triangulation of methods from a Doctorate research.