Organizations are increasingly turning to surveys to solve many business-related problems. This book provides those who want to plan organizational surveys with a step-by-step, ‘how-to’ guide. The authors describe the issues that must be addressed at each step in the process, the advantages and disadvantages that result from many of the choices that must be made, and practical lessons learned from their years of experience in designing and conducting surveys.
Chapter 10: Analyzing Data and Interpreting Results
Analyzing Data and Interpreting Results
The survey data have been entered into the computer and the data file has been cleaned. Now the team is ready for one of the most exciting and challenging survey phases—data analysis and interpretation. The complexity of the analyses depends greatly on who the customers are (e.g., management, hourly workers, human resource professionals), their level of statistical sophistication, and how they want the results presented. Relatively few organizational surveys are aimed at testing a researcher's hypothesis or confirming the validity of a model. Instead, the analyses are typically tailored to identify organizational strengths and weaknesses. Often, the preferred data analysis for organizational surveys is the simplest (Howe & Gaeddert, 1991).
Results from our poll of organizational survey ...