Surveys

The Surveys decision tree will present the steps for creating a reliable and valid survey

Surveys are often used to collect large amounts of data in a really quick time frame. All surveys are considered to be observational, retrospective, and cross-sectional in terms of research design. Causal effects cannot be inferred from cross-sectional surveys due to the lack of randomization and reverse causality. Surveys can be used to measure for unique constructs or phenomena that do not have a current method of evaluation, diagnosis, or measurement. There are eight steps* for creating a new survey instrument. The Surveys decision tree will help you work through each of the eight steps.

The eight steps for creating surveys

Click on the Construct Specification button to continue.
*Colton, D., & Covert, R. W.  (2007).  Designing and constructing instruments for social research and evaluation. San Francisco:  Jossey-Bass.
**Lounsbury, J. W., Gibson, L. W., & Saudargas, R. A. (2005). Scale Development. In F. T. L. Leong, & J. T. Austin (Eds.), The psychology research handbook: A guide for graduate students and research assistants (pp. 125-146). Thousand Oaks, CA: Sage.
There are eight steps for creating a survey.